INSPIRE - Infrastructure for Spatial Information in Europe
D2.8.III.3 INSPIRE Data Specification on Soil – Technical Guidelines
Title |
D2.8.III.3 INSPIRE Data Specification on Soil – Technical Guidelines |
Creator |
Temporary MIWP 2021-2024 sub-group 2.3.1 |
Date of publication |
2024-01-31 |
Subject |
INSPIRE Data Specification for the spatial data theme Soil |
Publisher |
INSPIRE Maintenance and Implementation Group (MIG) |
Type |
Text |
Description |
This document describes the INSPIRE Data Specification for the spatial data theme Soil |
Format |
AsciiDoc |
Licence |
|
Rights |
Public |
Identifier |
|
Changelog |
https://github.com/INSPIRE-MIF/technical-guidelines/releases/tag/2024.1 |
Language |
en |
Relation |
Directive 2007/2/EC of the European Parliament and of the Council of 14 March 2007 establishing an Infrastructure for Spatial Information in the European Community (INSPIRE) |
Foreword
How to read the document?
This document describes the "INSPIRE data specification on Soil – Technical Guidelines" version 3.0 as developed by the Thematic Working Group (TWG) TWG-Soil using both natural and a conceptual schema language.
The data specification is based on a common template[1] used for all data specifications, which has been harmonised using the experience from the development of the Annex I, II and III data specifications.
This document provides guidelines for the implementation of the provisions laid down in the Implementing Rule for spatial data sets and services of the INSPIRE Directive. It also includes additional requirements and recommendations that, although not included in the Implementing Rule, are relevant to guarantee or to increase data interoperability.
Two executive summaries provide a quick overview of the INSPIRE data specification process in general, and the content of the data specification on Soil in particular. We highly recommend that managers, decision makers, and all those new to the INSPIRE process and/or information modelling should read these executive summaries first.
The UML diagrams (in Chapter 5) offer a rapid way to see the main elements of the specifications and their relationships. The definition of the spatial object types, attributes, and relationships are included in the Feature Catalogue (also in Chapter 5). People having thematic expertise but not familiar with UML can fully understand the content of the data model focusing on the Feature Catalogue. Users might also find the Feature Catalogue especially useful to check if it contains the data necessary for the applications that they run. The technical details are expected to be of prime interest to those organisations that are responsible for implementing INSPIRE within the field of Soil, but also to other stakeholders and users of the spatial data infrastructure.
The technical provisions and the underlying concepts are often illustrated by examples. Smaller examples are within the text of the specification, while longer explanatory examples and descriptions of selected use cases are attached in the annexes.
In order to distinguish the INSPIRE spatial data themes from the spatial object types, the INSPIRE spatial data themes are written in italics.
The document will be publicly available as a 'non-paper'. It does not represent an official position of the European Commission, and as such cannot be invoked in the context of legal procedures. |
Legal Notice
Neither the European Commission nor any person acting on behalf of the Commission is responsible for the use which might be made of this publication.
Interoperability of Spatial Data Sets and Services – General Executive Summary
The challenges regarding the lack of availability, quality, organisation, accessibility, and sharing of spatial information are common to a large number of policies and activities and are experienced across the various levels of public authority in Europe. In order to solve these problems it is necessary to take measures of coordination between the users and providers of spatial information. The Directive 2007/2/EC of the European Parliament and of the Council adopted on 14 March 2007 aims at establishing an Infrastructure for Spatial Information in the European Community (INSPIRE) for environmental policies, or policies and activities that have an impact on the environment.
INSPIRE is based on the infrastructures for spatial information that are created and maintained by the Member States. To support the establishment of a European infrastructure, Implementing Rules addressing the following components of the infrastructure have been specified: metadata, interoperability of spatial data sets (as described in Annexes I, II, III of the Directive) and spatial data services, network services, data and service sharing, and monitoring and reporting procedures.
INSPIRE does not require collection of new data. However, after the period specified in the Directive[2] Member States have to make their data available according to the Implementing Rules.
Interoperability in INSPIRE means the possibility to combine spatial data and services from different sources across the European Community in a consistent way without involving specific efforts of humans or machines. It is important to note that "interoperability" is understood as providing access to spatial data sets through network services, typically via Internet. Interoperability may be achieved by either changing (harmonising) and storing existing data sets or transforming them via services for publication in the INSPIRE infrastructure. It is expected that users will spend less time and efforts on understanding and integrating data when they build their applications based on data delivered in accordance with INSPIRE.
In order to benefit from the endeavours of international standardisation bodies and organisations established under international law their standards and technical means have been utilised and referenced, whenever possible.
To facilitate the implementation of INSPIRE, it is important that all stakeholders have the opportunity to participate in specification and development. For this reason, the Commission has put in place a consensus building process involving data users, and providers together with representatives of industry, research and government. These stakeholders, organised through Spatial Data Interest Communities (SDIC) and Legally Mandated Organisations (LMO)[3], have provided reference materials, participated in the user requirement and technical[4] surveys, proposed experts for the Data Specification Drafting Team[5], the Thematic Working Groups[6] and other ad-hoc cross-thematic technical groups and participated in the public stakeholder consultations on draft versions of the data specifications. These consultations covered expert reviews as well as feasibility and fitness-for-purpose testing of the data specifications[7].
This open and participatory approach was successfully used during the development of the data specifications on Annex I, II and III data themes as well as during the preparation of the Implementing Rule on Interoperability of Spatial Data Sets and Services[8] for Annex I spatial data themes and of its amendment regarding the themes of Annex II and III.
The development framework elaborated by the Data Specification Drafting Team aims at keeping the data specifications of the different themes coherent. It summarises the methodology to be used for the development of the data specifications, providing a coherent set of requirements and recommendations to achieve interoperability. The pillars of the framework are the following technical documents[9]:
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The Definition of Annex Themes and Scope describes in greater detail the spatial data themes defined in the Directive, and thus provides a sound starting point for the thematic aspects of the data specification development.
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The Generic Conceptual Model defines the elements necessary for interoperability and data harmonisation including cross-theme issues. It specifies requirements and recommendations with regard to data specification elements of common use, like the spatial and temporal schema, unique identifier management, object referencing, some common code lists, etc. Those requirements of the Generic Conceptual Model that are directly implementable are included in the Implementing Rule on Interoperability of Spatial Data Sets and Services.
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The Methodology for the Development of Data Specifications defines a repeatable methodology. It describes how to arrive from user requirements to a data specification through a number of steps including use-case development, initial specification development and analysis of analogies and gaps for further specification refinement.
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The Guidelines for the Encoding of Spatial Data defines how geographic information can be encoded to enable transfer processes between the systems of the data providers in the Member States. Even though it does not specify a mandatory encoding rule it sets GML (ISO 19136) as the default encoding for INSPIRE.
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The Guidelines for the use of Observations & Measurements and Sensor Web Enablement-related standards in INSPIRE Annex II and III data specification development provides guidelines on how the "Observations and Measurements" standard (ISO 19156) is to be used within INSPIRE.
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The Common data models are a set of documents that specify data models that are referenced by a number of different data specifications. These documents include generic data models for networks, coverages and activity complexes.
The structure of the data specifications is based on the "ISO 19131 Geographic information - Data product specifications" standard. They include the technical documentation of the application schema, the spatial object types with their properties, and other specifics of the spatial data themes using natural language as well as a formal conceptual schema language[10].
A consolidated model repository, feature concept dictionary, and glossary are being maintained to support the consistent specification development and potential further reuse of specification elements. The consolidated model consists of the harmonised models of the relevant standards from the ISO 19100 series, the INSPIRE Generic Conceptual Model, and the application schemas[11] developed for each spatial data theme. The multilingual INSPIRE Feature Concept Dictionary contains the definition and description of the INSPIRE themes together with the definition of the spatial object types present in the specification. The INSPIRE Glossary defines all the terms (beyond the spatial object types) necessary for understanding the INSPIRE documentation including the terminology of other components (metadata, network services, data sharing, and monitoring).
By listing a number of requirements and making the necessary recommendations, the data specifications enable full system interoperability across the Member States, within the scope of the application areas targeted by the Directive. The data specifications (in their version 3.0) are published as technical guidelines and provide the basis for the content of the Implementing Rule on Interoperability of Spatial Data Sets and Services[12]. The content of the Implementing Rule is extracted from the data specifications, considering short- and medium-term feasibility as well as cost-benefit considerations. The requirements included in the Implementing Rule are legally binding for the Member States according to the timeline specified in the INSPIRE Directive.
In addition to providing a basis for the interoperability of spatial data in INSPIRE, the data specification development framework and the thematic data specifications can be reused in other environments at local, regional, national and global level contributing to improvements in the coherence and interoperability of data in spatial data infrastructures.
Soil – Executive Summary
For the purpose of the data specification in this document, soil is the upper part of the earth’s crust, formed by mineral particles, organic matter, water, air and living organisms. It is the interface between rock, air and water which hosts most of the biosphere. Soil is subject to a series of threats as recognized not only in the EU Soil Thematic Strategy (COM(2006)231 final), but indirectly also in several adopted EU Directives (e.g. 1999/31/EC, 91/676/EEC, 86/278/EC..). The requirements of these directives were considered while compiling this data specification.
Based on the definition given by the Directive (2007/2/EC), the scope for the soil theme covers:
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Soil inventories, providing one-off assessments of soil conditions and/or soil properties at certain locations and at a specific point in time, and allow soil monitoring, providing a series of assessments showing how soil conditions and/or properties change over time.
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Soil mapping, providing a spatial presentation of the properties linked to the soils, including soil types; typically, soil maps are derived with the help of data available in soil inventories. Also other soil related information derived from soil properties, possibly in combination with non-soil data are within the scope.
The INSPIRE methodology was used (D2.6). The input from the Member States was used for defining 15 Use cases covering Agro-Environmental Indicators, Soil Derived Information, Contaminated sites and Soil Monitoring (see Annex B). Based on these Use cases, together with the expert knowledge present in the thematic working group (TWG), the data model was built and validated.
The comments from the Member State consultation and the testing were used to improve the data model.
The data model contains a core set of spatial object types and their attributes that are considered to be essential for the infrastructure along which data on soil can be exchanged. In addition to the core Soil data model an extension data model (including application schema) deals with the management of soil contamination (see Annex D). This model extension demonstrates how the core Soil data model can be extended to include more specific requirements (soil contamination) that were identified by the Use cases.
The TWG has also prepared an example of how a soil derived theme - soil organic carbon - can be provided utilising the core Soil data model. (see Annex D)
The soil observable parameters relevant for some approved EU Directives are included in the model in the spatial object types SoilProfile, ProfileElement, SoilDerivedObject and SoilThemeCoverage.
The data specification is based, as far as possible, on existing standards. Apart from general ISO19xxx standards used in relation to geographical information, use was also made of the ISO DIS 28258 (Draft International Standard/Soil Quality) standard. As soil contains many observable and measurable parameters, the specialised use of the ISO 19156:2011 Observations and Measurements standard is proposed. Based on the soil community practise to provide thematic soil map information in a raster form, this option is provided for by utilising the ISO 19123 Coverages standard.
To enhance semantic interoperability the use of the soil classification scheme WRB (World Reference Base for Soil Resources) and the FAO horizon notation scheme as primary classification systems are proposed. The use of other currently used (local, regional, national) classification systems is also provided for.
Acknowledgements
Many individuals and organisations have contributed to the development of these Guidelines.
The Thematic Working Group SOIL (TWG-SO) included:
Arnold Arnoldussen (TWG Facilitator), Stijn Keijers (TWG Editor), Christine Le Bas, Jandirk Bulens (TWG co-editor), Edoardo Costantini, Einar Eberhardt, Marc van Liedekerke, Stephan Marahrens, Ainara Senar, Kees Versluijs, Robert Tomas (European Commission contact point).
Milan Sanka and Patrick Engels also contributed to earlier drafts.
Other contributors to the INSPIRE data specifications are the Drafting Team Data Specifications, the JRC Data Specifications Team and the INSPIRE stakeholders - Spatial Data Interested Communities (SDICs) and Legally Mandated Organisations (LMOs).
Contact information
Maria Vanda Nunes de Lima & Michael Lutz
European Commission Joint Research Centre (JRC)
Institute for Environment and Sustainability
Unit H06: Digital Earth and Reference Data
http://inspire.ec.europa.eu/index.cfm/pageid/2
Table of Contents
- 1. Scope
- 2. Overview
- 3. Specification scopes
- 4. Identification information
- 5. Data content and structure
- 6. Reference systems, units of measure and grids
- 7. Data quality
- 8. Dataset-level metadata
- 9. Delivery
- 10. Data Capture
- 11. Portrayal
- Bibliography
- Annex A: Abstract Test Suite (normative)
- A.1. Application Schema Conformance Class
- A.1.1. Schema element denomination test
- A.1.2. Value type test
- A.1.3. Value test
- A.1.4. Soil parameters theme specific value test
- A.1.5. Soil descriptive parameter theme specific value test
- A.1.6. Soil horazion classification theme specific value test
- A.1.7. Soil type name theme specific value test
- A.1.8. Attributes/associations completeness test
- A.1.9. Abstract spatial object test
- A.1.10. Constraints test
- A.1.11. Geometry representation test
- A.2. Reference Systems Conformance Class
- A.3. Data Consistency Conformance Class
- A.4. Metadata IR Conformance Class
- A.5. Information Accessibility Conformance Class
- A.6. Data Delivery Conformance Class
- A.7. Portrayal Conformance Class
- A.8. Technical Guideline Conformance Class
- A.8.1. Multiplicity test
- A.8.2. CRS http URI test
- A.8.3. Metadata encoding schema validation test
- A.8.4. Metadata occurrence test
- A.8.5. Metadata consistency test
- A.8.6. Encoding schema validation test
- A.8.7. Coverage multipart representation test
- A.8.8. Coverage domain consistency test
- A.8.9. Style test
- A.1. Application Schema Conformance Class
- Annex B: Use Cases (informative)
- B.1. Agri-Environmental Indicator – Soil Erosion
- B.2. Agri-Environmental Indicator – Soil Quality
- B.3. Progress in management of Contaminated sites (CSI 015) indicator
- B.4. Land Irrigation Suitability for Navarre (Spain)
- B.5. Development of methodologies for soil salinity surveillance in the middle Ebro basin
- B.6. MARS project
- B.7. Restrictions for agricultural use based on mineral, the N-, and P-saturation in the soil and (shallow) ground water
- B.8. Calculation threshold trace elements
- B.9. Use of Soil Scape Viewer
- B.10. Establishment Less Favoured Areas (France)
- B.11. Contaminated Land Register Austria
- B.12. Risk for drinking water wells by contamination
- B.13. Ecological risk of soil contamination
- B.14. Contamination in relation to property
- B.15. State of soil in Europe
- Annex C: Code list values (normative)
- Annex D: Soil Data Model Extensions (informative)
1. Scope
This document specifies a harmonised data specification for the spatial data theme Soil as defined in Annex III of the INSPIRE Directive.
This data specification provides the basis for the drafting of Implementing Rules according to Article 7 (1) of the INSPIRE Directive [Directive 2007/2/EC]. The entire data specification is published as implementation guidelines accompanying these Implementing Rules.
2. Overview
2.1. Name
INSPIRE data specification for the theme Soil.
2.2. Informal description
Definition:
Soils and subsoil characterised according to depth, texture, structure and content of particles and organic material, stoniness, erosion, where appropriate mean slope and anticipated water storage capacity. [Directive 2007/2/EC]
Description:
Soil is a non-renewable resource at the human scale, which is important for many parts of society. In many places in the world, soil degradation is a serious process threatening that soil can fulfil its functions in the future. In the climate change debate, soil is becoming important in relation to climate change mitigation and adaptation. Soil degradation may result in soils that no longer can fulfil services like food production, or being so contaminated that they form a threat for human and/or ecological health.
Soil is subject to a series of threats as recognized in the EU Soil Thematic Strategy (COM(2006)231 final): erosion, organic matter decline, contamination, salinisation, sodification, compaction, soil biodiversity loss, sealing, landslides and flooding. Also soil acidification is generally considered to be a problem in humid areas. Information on soils is crucial to make fundamental decisions and to protect the soil against degradation processes.
The need for soil information can vary from improvement of agricultural and forestry production, prevention of environment damage due to human activities, or to getting to know the location and extent of sites with high concentrations of harmful substances. There is a high demand for soil information in relation to carbon sequestration (climate change), the prevention of soil degradation, improvement of agricultural production (e.g. food and bio-energy crops) and for the mitigation of desertification in areas with arid and semi-arid climatic conditions.
In order to provide meaningful use and to share and exchange information in the field of soil, part of the world of soil (seen as a Universe of Discourse (UoD)) is to be modelled. The soil UoD is defined and limited by the problems that need to be solved and the solutions that are to be provided through the use of soil information. The kind of soil information is suggested by Use Cases (preferably underpinned by legislation) that have been identified by the TWG-SO based on input from INSPIRE stakeholders and by the expertise available in the expert group.
The following use cases are identified and described in Annex B:
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Agri-Environmental Indicators:
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Use Case Environmental Indicator Soil Erosion
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Use Case Environmental Indicator Soil Quality
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Use Case Environmental Indicator Contaminated Sites
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Thematic maps derived from soil information
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Land irrigation suitability in Navarra (Spain)
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Development of methodologies for soil salinity surveillance in the middle Ebro basin (Spain)
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Monitoring Agricultural ResourceS (MARS) project
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Restrictions for N and P in agriculture
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Calculation threshold trace elements
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Use of Soil Scape Viewer
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Establishment Less Favoured Areas (France)
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Contaminated sites
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Contaminated Land Register Austria
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Use Case drinking water and soil contamination
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Use Case Ecology and contamination
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Use Case Property and contamination
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Soil Monitoring
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Use Case state of soil in Europe
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To show the relevance of known European legislation related to soil, the Use Cases were cross-checked with the legislation at hand; where there is a common interest or overlap on data used, it is indicated in the following table:
NOTE none of the directives is considered as a use case in itself.
Based on the mentioned Use Cases and on the TWG-SO expertise, the following relevant and general uses for soil information were identified:
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For using the spatial distribution of soils and their properties, data that allow the creation of maps (at various scales) on the distribution of soil types and soil properties are needed. Such data are based on data taken from soil profiles, soil observations and soil samples (taken on soil sites at soil plots), which in combination with human expertise and/or automated procedures can be interpreted such that physical real world areas, which show certain soil characteristics, can be delineated, depending on the scale considered, and named here as soil bodies. Hence structuring soil data and the possibility for mapping them are included.
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Over time, important soil characteristics (e.g. content of organic carbon, soil acidity, etc.) may vary, and it can be required to follow these changes over time. Hence real world 'soil monitoring' is taken into consideration.
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In the context of the EU Soil Thematic Strategy, soil contamination is considered as one of the major threats to soil, at the local scale (contaminated sites); at large area scale (diffuse soil contamination, usually low level and dispersed by deposition from air, by groundwater or by agricultural practices) and at the level of brownfields (regions with many contaminated sites and usually combined with diffuse contamination). An attempt is made to include a generic approach towards some aspects of soil contamination (see Annex D).
The INSPIRE themes Soil and Geology show some overlap regarding the real world objects they describe, but often see them under different perspectives (Figure 1). For the soil domain, rock is the parent material of any soil development, and as such geogenic layers are included in soil datasets. Nonetheless, rock types and their genesis can be named in the same way as in the domain of geology. Hence, the code lists to characterize lithology, processes and process environments have been agreed upon by the INSPIRE Thematic Working Groups Geology and Soil. As the superficial layers in which soils develop are not considered in geological datasets throughout, the spatial data from both domains do not necessarily overlap, but kind of complete one another.
Figure 1: The field of Pedology seen in relation to the field of Geology.
On the basis of the previous considerations, the soil theme includes the following phenomena (either in the physical world or conceptualized world):
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soil profiles
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soil sites, soil plots
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soil bodies (delineated areas on the earth’s surface determined on the basis of certain soil characteristics)
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soil characteristics (parameters) that change over time (possibly allowing soil monitoring)
Considering these soil related phenomena, an object model is constructed in the form of a UML class diagram. Information exchange structured according to this model, originating from different providers, will be structurally interoperable and provide a possible way for meaningful exchange of soil information.
A model was developed consisting of a core of objects, their interrelations and attributes; they are considered to be essential; this model is the basis for further INSPIRE legislation.
However, as exemplified by some of the described Use Cases, the objects of the model do not fully allow for the implementation of certain uses and purposes. The need for modelling of soil data beyond this model is accommodated by the possibility of creating extensions to it. In this document, the implementation of a kind of extension is demonstrated for a Use Case on soil contamination and content of soil organic carbon (see Annex D).
In the following, the structuring of the elements and concepts of the soil domain as model-objects and attributes is described. It should be noted that many elements of the European Soil Geographical Data Base and other international initiatives related to the standardization and exchange of soil data have been taken into account. The names given to the objects, attributes and associations are as neutral as possible i.e. not deliberately taken from existing, specific nomenclature.
Figure 2: Soil profile layer and horizon located in a soil plot.
Soil Profiles
The real world concept "soil profile" (SoilProfile class in the model) (illustrated by Figure 2) can be defined as a cross-section of the soil from the surface down to and including the beginning of the fresh material unmodified by pedogenesis, consisting of various more or less horizontally oriented features formed by pedogenic processes called horizons. Any real world soil profile, considered as a whole, can be characterized by a number of properties, such as: its soil type according to a soil classification scheme, its water capacity available for plants, coarse fragment cover, the presence of a water table, etc. Soil horizons within a profile possess biological, physical and chemical characteristics which differ from the horizons above and beneath and are distinguished principally by texture, colour, structure, chemical composition, and their biomass. The chemical properties may include concentrations in the solid, water and air phases, mobility and soil adsorption capacities. A profile can additionally be described with layers (instead of being described with horizons) which do not necessarily correspond with pedo-genetically formed horizons. Such layers can be fixed depths intervals of sampling, top- and subsoil, or geogenic layers. Layers and horizons are considered both as profile elements in the model as they are both horizontal subdivisions of the soil profile.
The real world concept "observed soil profile" (ObservedSoilProfile object in the model) represents a soil profile physically located in a soil plot (or exposed with a boring), described in the field, possibly sampled and analysed in the laboratory. An observed soil profile refers to a real world location (specified by an associated soil plot).
Figure 3: Soil profiles, soil bodies.
A "derived soil profile" (DerivedSoilProfile object in the model) is a soil profile that cannot be located in a soil plot. It corresponds to the spatial extent of a soil type that has been observed in one or several observed soil profiles. The derived soil profile has property values that could be derived (e.g. averaged) from the values of the corresponding properties of one or more observed soil profiles. The derived soil profile can be characterized by the same properties as those of the observed soil profiles, but it is understood that the values for these properties have been derived or determined by expert judgment or calculation. A derived soil profile can be seen as a characterisation of a Soil Typological Unit (STU), or Series, as recognized in the European Soil Geographical Database and other soil databases at national or regional levels. A derived soil profile is not necessarily linked to observed soil profiles, in which case it represents a hypothetical soil profile.
Soil delineated areas
To delineate spatially an area that is characterized by a set of such derived soil profiles, the model introduces the construct of "soil body" (SoilBody object in the model) which represents an association (or other types of spatial interlinkages of various soil types) of soils that are found together in the area. Soils forming the soil body are described using derived soil profiles. The soil body can be represented by one or more derived soil profiles, giving an impression of the properties of the soil body as a whole. This is modelled by linking derived soil profiles to the soil body, indicating their area share, expressed in percentages or percentage ranges (see Figure 3). Note that the exact location of each kind of soil type within the soil body is unknown; only the area (geometry) of the soil body is known and also how much of this area is covered by each of the soil types (described as derived soil profiles) in that area. For instance, a soil body could consist of one dominant soil (as described by a derived soil profile) and of other soils (described by other derived soil profiles) having characteristics different from the dominant one. The label of a soil body allows a description of it, which may be useful for building legends. A soil body can be interpreted as a Soil Mapping Unit (SMU) as recognized in the European Soil Geographical Data Base and other soil databases at national or regional levels.
In the context of the model, a SoilDerivedObject object is defined as a spatial object representing a soil related property which value could, for instance, be derived from values of soil properties of related observed soil profiles and/or related soil bodies (and thus soil derived profiles). A value completely independent of observed soil profiles and soil bodies could be possible as well.
In practice, the derivation of values for the SoilDerivedObject objects could be done from information stored in observed soil profiles and/or soil bodies, or it could also be done from such information in combination with external data. An example of the former could be the calculation of pH or soil organic matter content in the topsoil, based on data found in a set of observed soil profiles. An example of the latter could be the derivation of certain soil related properties (for example soil erosion risk) for which calibrated models are to be used which not only extract and elaborate information from observed soil profiles and/or soil bodies, but also require data that are external to the soil Model (e.g. meteorological and land cover data).
In Annex D an example is given how the model can be extended for a more concrete use case (soil organic carbon content and soil organic carbon stock), both as a coverage and as a vector.
Soil Site and Soil Plot
A soil site (SoilSite object in the model) is considered as a) the surrounding of a soil profile, and/or b) the larger piece of land that is directly linked to and described by all soil investigations on one or more spots, called soil plots. A "soil plot" (SoilPlot object in the model) is the location of a specific soil investigation (e.g. of a trial pit). Because for many soil investigations the studied soil is destroyed, the soil site provides also the object to which the results of repeated investigations are related and handled as if they were obtained from the very same place. The purpose of the investigation can be of a general nature (e.g. a reconnaissance whereby soil profiles are taken for a general soil characterization) or specific (e.g. a reconnaissance whereby samples are taken to investigate potentially contaminated land); this information can be crucial for data evaluation to identify bias in the selection of sites. A soil plot within a soil site is of a certain type (borehole, trial pit, sample) and located by coordinates and/or the name of that location.
Soil characteristics that change over time
There are no explicit constructs foreseen related to soil monitoring. Monitoring, considered as the repeated observation of one or more soil characteristics over time, can be implemented through the use of the various time/date attributes of the objects of the model.
Soil Contamination
There are no explicit constructs for soil contamination data in the Model. Contamination is implicitly included by the possibility of specifying contamination parameters for sites, profiles and profile elements. The contaminants are treated here like chemical elements. There are also no explicit constructs included in the model for contaminated sites. For the moment, as an example how the model could be extended to deal with soil contaminated sites and site management, a generic Use Case on "Soil – Contamination" is provided in Annex D. Nevertheless, some heavy metal elements are part of a codelist for profile element parameter because they are cited by the directive 86/278/EC as elements to be analysed in agricultural parcels before the application of sewage sludge.
Note on soil sampling
In the context of soils two different meanings can be seen for "sample":
On the one hand, the notion of "soil sample", considered as a physical part of the soil for which one or more properties are determined. This notion is not withheld as an explicit construct in the Model.
On the other hand, "sample" is considered to be the location where soil material is taken at a specific depth or over a depth range without doing any soil profile description. "Sample", together with trial pit and borehole, is a type of soil plot. The latter is the concept described in the model.
Definition: |
Entry in the INSPIRE registry: http://inspire.ec.europa.eu/theme/so/
2.3. Normative References
[Directive 2007/2/EC] Directive 2007/2/EC of the European Parliament and of the Council of 14 March 2007 establishing an Infrastructure for Spatial Information in the European Community (INSPIRE)
[ISO 19107] EN ISO 19107:2005, Geographic Information – Spatial Schema
[ISO 19108] EN ISO 19108:2005, Geographic Information – Temporal Schema
[ISO 19108-c] ISO 19108:2002/Cor 1:2006, Geographic Information – Temporal Schema, Technical Corrigendum 1
[ISO 19111] EN ISO 19111:2007 Geographic information - Spatial referencing by coordinates (ISO 19111:2007)
[ISO 19113] EN ISO 19113:2005, Geographic Information – Quality principles
[ISO 19115] EN ISO 19115:2005, Geographic information – Metadata (ISO 19115:2003)
[ISO 19118] EN ISO 19118:2006, Geographic information – Encoding (ISO 19118:2005)
[ISO 19123] EN ISO 19123:2007, Geographic Information – Schema for coverage geometry and functions
[ISO 19125-1] EN ISO 19125-1:2004, Geographic Information – Simple feature access – Part 1: Common architecture
[ISO 19135] EN ISO 19135:2007 Geographic information – Procedures for item registration (ISO 19135:2005)
[ISO 19138] ISO/TS 19138:2006, Geographic Information – Data quality measures
[ISO 19139] ISO/TS 19139:2007, Geographic information – Metadata – XML schema implementation
[ISO 19157] ISO/DIS 19157, Geographic information – Data quality
[OGC 06-103r4] Implementation Specification for Geographic Information - Simple feature access – Part 1: Common Architecture v1.2.1
NOTE This is an updated version of "EN ISO 19125-1:2004, Geographic information – Simple feature access – Part 1: Common architecture".
[Regulation 1205/2008/EC] Regulation 1205/2008/EC implementing Directive 2007/2/EC of the European Parliament and of the Council as regards metadata
[Regulation 976/2009/EC] Commission Regulation (EC) No 976/2009 of 19 October 2009 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards the Network Services
[Regulation 1089/2010/EC] Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services
ISO 19156: 2011. Geographic Information – Observation and Measurements
ISO DIS 28258 Soil Quality – Digital Exchange of Soil-Related data
NOTE: The ISO DIS 28258 draft standard has been developed in parallel with this data specification on soil. It has a wider scope, but the models mutually influenced each other. In conclusion, as far as both models cover the same real world objects, central terms and definitions in and for the data models are near enough to be mappable into each other.
2.4. Terms and definitions
General terms and definitions helpful for understanding the INSPIRE data specification documents are defined in the INSPIRE Glossary[13].
Specifically, for the theme Soil, the following terms are defined:
Soil Body: Part of the soil cover that is delineated and that is homogeneous with regard to certain soil properties and/or spatial patterns. It is the real-world correlate of a soil mapping unit.
Derived Soil Profile: A non-point-located soil profile that serves as a reference profile for a specific soil type in a certain geographical area. One or more derived soil profiles can represent the information which is combined to so-called Soil Typological Units (STUs) in some soil mapping approaches.
Soil Derived Object: A spatial object type for representing spatial objects with soil-related property derived from one or more soil and possibly other non soil properties. It is the real-world correlate of the mapping units of soil property maps which often are derived from the soil map that shows the distribution of soil taxa.
2.5. Symbols and abbreviations
ATS |
Abstract Test Suite |
CAP |
Common Agricultural Policy |
CGMS |
Crop Growth Monitoring System |
CORINE |
Coordination of Information on the Environment |
DG AGRI |
Directorate – General for Agriculture and Rural Development |
DG ENV |
Directorate – General for Environment |
DIS ISO |
Draft international standard |
DTM |
Digital Terrain Model |
EC |
European Commission |
EEA |
European Environmental Agency |
EIONET |
European Environment Information and Observation Network |
EMISS |
Electromagnetic induction sensing systems |
ESBN |
European Soil Bureau Network |
ESDaC |
European Soil Data Center |
ETRS89 |
European Terrestrial Reference System 1989 |
ETRS89-LAEA |
Lambert Azimuthal Equal Area |
ETSSP |
European Thematic Strategy for Soil Protection |
EU |
European Union |
EVRS |
European Vertical Reference System |
FAO |
Food and Agricultural Organisation |
GCM |
Global Circulation Model |
GIS |
Geographical Information System |
GML |
Geography Markup Language |
GS Soil |
eContentplus project: "Assessment and strategic development of INSPIRE compliant Geodata Services for European Soil data |
INSPIRE |
Infrastructure for Spatial Information in Europe |
IR |
Implementing Rule |
IRENA |
Indicator reporting on the integration of environmental concerns into agricultural policy |
ISDSS |
Interoperability of Spatial Data Sets and Services |
ISO |
International Organization for Standardization |
ITRS |
International Terrestrial Reference System |
IUSS |
International Union for Soil Associations |
JRC |
Joint Research Centre |
LAT |
Lowest Astronomical Tide |
LFA |
Less Favoured Areas |
LMO |
Legally Mandated Organisation |
MARS |
Monitoring Agricultural ResourceS |
MCYFS |
Crop Yield Forecasting System |
NDVI |
Normalised Difference Vegetation Index |
NUTS |
Nomenclature of Units for Territorial Statistics |
O&M |
Observations & Measurements |
OCL |
Object Constraint Language |
OM |
Organic Matter |
PTF |
Pedo Transfer Function |
RDBMS |
Relational Database Management System |
RMQS |
Réseau de Mesures de la Qualité des Sols |
RUSLE |
Revised Universal Soil Loss Equation |
SCU |
Soil Cartographic Unit |
SDIC |
Spatial Data Interest Community |
SFD |
Proposed Soil Frame Work Directive |
SGDBE |
Soil Geographical Data Base for Europe |
SLD |
Second level domain |
SMU |
Soil Mapping Unit |
SRTM |
Shuttle Radar Topography Mission |
STU |
Soil Typological Unit |
TG |
Technical Guidance |
TWG |
Thematic Working Group (INSPIRE) |
TWG SO |
Thematic Working Group Soil (INSPIRE) |
UML |
Unified Modeling Language |
UN |
United Nations |
URI |
Uniform Resource Identifier |
USBR |
United States Bureau for Reclamation |
USDA |
United States Department for Agriculture |
UTC |
Universal Time Coordinated |
WFD |
Water Frame Work Directive |
WRB |
World Reference Base for Soil Resources |
XML |
EXtensible Markup Language |
2.6. How the Technical Guidelines map to the Implementing Rules
The schematic diagram in Figure 4 gives an overview of the relationships between the INSPIRE legal acts (the INSPIRE Directive and Implementing Rules) and the INSPIRE Technical Guidelines. The INSPIRE Directive and Implementing Rules include legally binding requirements that describe, usually on an abstract level, what Member States must implement.
In contrast, the Technical Guidelines define how Member States might implement the requirements included in the INSPIRE Implementing Rules. As such, they may include non-binding technical requirements that must be satisfied if a Member State data provider chooses to conform to the Technical Guidelines. Implementing these Technical Guidelines will maximise the interoperability of INSPIRE spatial data sets.
Figure 4 - Relationship between INSPIRE Implementing Rules and Technical Guidelines
2.6.1. Requirements
The purpose of these Technical Guidelines (Data specifications on Soil) is to provide practical guidance for implementation that is guided by, and satisfies, the (legally binding) requirements included for the spatial data theme Soil in the Regulation (Implementing Rules) on interoperability of spatial data sets and services. These requirements are highlighted in this document as follows:
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IR Requirement This style is used for requirements contained in the Implementing Rules on interoperability of spatial data sets and services (Commission Regulation (EU) No 1089/2010). |
For each of these IR requirements, these Technical Guidelines contain additional explanations and examples.
NOTE The Abstract Test Suite (ATS) in Annex A contains conformance tests that directly check conformance with these IR requirements.
Furthermore, these Technical Guidelines may propose a specific technical implementation for satisfying an IR requirement. In such cases, these Technical Guidelines may contain additional technical requirements that need to be met in order to be conformant with the corresponding IR requirement when using this proposed implementation. These technical requirements are highlighted as follows:
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TG Requirement X This style is used for requirements for a specific technical solution proposed in these Technical Guidelines for an IR requirement. |
NOTE 1 Conformance of a data set with the TG requirement(s) included in the ATS implies conformance with the corresponding IR requirement(s).
NOTE 2 In addition to the requirements included in the Implementing Rules on interoperability of spatial data sets and services, the INSPIRE Directive includes further legally binding obligations that put additional requirements on data providers. For example, Art. 10(2) requires that Member States shall, where appropriate, decide by mutual consent on the depiction and position of geographical features whose location spans the frontier between two or more Member States. General guidance for how to meet these obligations is provided in the INSPIRE framework documents.
2.6.2. Recommendations
In addition to IR and TG requirements, these Technical Guidelines may also include a number of recommendations for facilitating implementation or for further and coherent development of an interoperable infrastructure.
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Recommendation X Recommendations are shown using this style. |
NOTE The implementation of recommendations is not mandatory. Compliance with these Technical Guidelines or the legal obligation does not depend on the fulfilment of the recommendations.
2.6.3. Conformance
Annex A includes the abstract test suite for checking conformance with the requirements included in these Technical Guidelines and the corresponding parts of the Implementing Rules (Commission Regulation (EU) No 1089/2010).
3. Specification scopes
This data specification does not distinguish different specification scopes, but just considers one general scope.
NOTE For more information on specification scopes, see [ISO 19131:2007], clause 8 and Annex D.
4. Identification information
These Technical Guidelines are identified by the following URI:
http://inspire.ec.europa.eu/tg/so/3.0
NOTE ISO 19131 suggests further identification information to be included in this section, e.g. the title, abstract or spatial representation type. The proposed items are already described in the document metadata, executive summary, overview description (section 2) and descriptions of the application schemas (section 5). In order to avoid redundancy, they are not repeated here.
5. Data content and structure
5.1. Application schemas – Overview
5.1.1. Application schemas included in the IRs
Articles 3, 4 and 5 of the Implementing Rules lay down the requirements for the content and structure of the data sets related to the INSPIRE Annex themes.
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IR Requirement
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The types to be used for the exchange and classification of spatial objects from data sets related to the spatial data theme Soil are defined in the following application schema (see section 5.3):
- Soil - Soil application schema contains the essential elements of a data model that allow the exchange of geo-referenced soil data.
The application schemas specify requirements on the properties of each spatial object including its multiplicity, domain of valid values, constraints, etc.
NOTE The application schemas presented in this section contain some additional information that is not included in the Implementing Rules, in particular multiplicities of attributes and association roles.
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TG Requirement 1 Spatial object types and data types shall comply with the multiplicities defined for the attributes and association roles in this section. |
An application schema may include references (e.g. in attributes or inheritance relationships) to common types or types defined in other spatial data themes. These types can be found in a sub-section called "Imported Types" at the end of each application schema section. The common types referred to from application schemas included in the IRs are addressed in Article 3.
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IR Requirement Types that are common to several of the themes listed in Annexes I, II and III to Directive 2007/2/EC shall conform to the definitions and constraints and include the attributes and association roles set out in Annex I. |
NOTE Since the IRs contain the types for all INSPIRE spatial data themes in one document, Article 3 does not explicitly refer to types defined in other spatial data themes, but only to types defined in external data models.
Common types are described in detail in the Generic Conceptual Model [DS-D2.7], in the relevant international standards (e.g. of the ISO 19100 series) or in the documents on the common INSPIRE models [DS-D2.10.x]. For detailed descriptions of types defined in other spatial data themes, see the corresponding Data Specification TG document [DS-D2.8.x].
5.1.2. Additional recommended application schemas
In addition to the application schemas listed above, the following additional application schemas have been defined for the theme Soil (see Annex D)
- Soil Contamination – SoilContamination application schema demonstrates the extensibility of the core (legally mandated) SOIL data model to the field of the management of soil contaminated land.
These additional application schemas are not included in the IRs. They typically address requirements from specific (groups of) use cases and/or may be used to provide additional information. They are included in this specification in order to improve interoperability also for these additional aspects and to illustrate the extensibility of the application schemas included in the IRs.
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Recomendation 1 Additional and/or use case-specific information related to the theme Soil should be made available using the spatial object types and data types specified in the following application schema(s): SoilContamination, These spatial object types and data types should comply with the definitions and constraints and include the attributes and association roles defined in the Annex D. The code lists used in attributes or association roles of spatial object types or data types should comply with the definitions and include the values defined in the Annex D. |
5.2. Basic notions
This section explains some of the basic notions used in the INSPIRE application schemas. These explanations are based on the GCM [DS-D2.5].
5.2.1. Notation
5.2.1.1. Unified Modeling Language (UML)
The application schemas included in this section are specified in UML, version 2.1. The spatial object types, their properties and associated types are shown in UML class diagrams.
NOTE For an overview of the UML notation, see Annex D in [ISO 19103].
The use of a common conceptual schema language (i.e. UML) allows for an automated processing of application schemas and the encoding, querying and updating of data based on the application schema – across different themes and different levels of detail.
The following important rules related to class inheritance and abstract classes are included in the IRs.
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IR Requirement (…)
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The use of UML conforms to ISO 19109 8.3 and ISO/TS 19103 with the exception that UML 2.1 instead of ISO/IEC 19501 is being used. The use of UML also conforms to ISO 19136 E.2.1.1.1-E.2.1.1.4.
NOTE ISO/TS 19103 and ISO 19109 specify a profile of UML to be used in conjunction with the ISO 19100 series. This includes in particular a list of stereotypes and basic types to be used in application schemas. ISO 19136 specifies a more restricted UML profile that allows for a direct encoding in XML Schema for data transfer purposes.
To model constraints on the spatial object types and their properties, in particular to express data/data set consistency rules, OCL (Object Constraint Language) is used as described in ISO/TS 19103, whenever possible. In addition, all constraints are described in the feature catalogue in English, too.
NOTE Since "void" is not a concept supported by OCL, OCL constraints cannot include expressions to test whether a value is a void value. Such constraints may only be expressed in natural language.
5.2.1.2. Stereotypes
In the application schemas in this section several stereotypes are used that have been defined as part of a UML profile for use in INSPIRE [DS-D2.5]. These are explained in Table 1 below.
Table 1 – Stereotypes (adapted from [DS-D2.5])
Stereotype |
Model element |
Description |
applicationSchema |
Package |
An INSPIRE application schema according to ISO 19109 and the Generic Conceptual Model. |
leaf |
Package |
A package that is not an application schema and contains no packages. |
featureType |
Class |
A spatial object type. |
type |
Class |
A type that is not directly instantiable, but is used as an abstract collection of operation, attribute and relation signatures. This stereotype should usually not be used in INSPIRE application schemas as these are on a different conceptual level than classifiers with this stereotype. |
dataType |
Class |
A structured data type without identity. |
union |
Class |
A structured data type without identity where exactly one of the properties of the type is present in any instance. |
codeList |
Class |
A code list. |
import |
Dependency |
The model elements of the supplier package are imported. |
voidable |
Attribute, association role |
A voidable attribute or association role (see section 5.2.2). |
lifeCycleInfo |
Attribute, association role |
If in an application schema a property is considered to be part of the life-cycle information of a spatial object type, the property shall receive this stereotype. |
version |
Association role |
If in an application schema an association role ends at a spatial object type, this stereotype denotes that the value of the property is meant to be a specific version of the spatial object, not the spatial object in general. |
5.2.2. Voidable characteristics
The «voidable» stereotype is used to characterise those properties of a spatial object that may not be present in some spatial data sets, even though they may be present or applicable in the real world. This does not mean that it is optional to provide a value for those properties.
For all properties defined for a spatial object, a value has to be provided – either the corresponding value (if available in the data set maintained by the data provider) or the value of void. A void value shall imply that no corresponding value is contained in the source spatial data set maintained by the data provider or no corresponding value can be derived from existing values at reasonable costs.
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Recomendation 2 The reason for a void value should be provided where possible using a listed value from the VoidReasonValue code list to indicate the reason for the missing value. |
The VoidReasonValue type is a code list, which includes the following pre-defined values:
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Unpopulated: The property is not part of the dataset maintained by the data provider. However, the characteristic may exist in the real world. For example when the "elevation of the water body above the sea level" has not been included in a dataset containing lake spatial objects, then the reason for a void value of this property would be 'Unpopulated'. The property receives this value for all spatial objects in the spatial data set.
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Unknown: The correct value for the specific spatial object is not known to, and not computable by the data provider. However, a correct value may exist. For example when the "elevation of the water body above the sea level" of a certain lake has not been measured, then the reason for a void value of this property would be 'Unknown'. This value is applied only to those spatial objects where the property in question is not known.
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Withheld: The characteristic may exist, but is confidential and not divulged by the data provider.
NOTE It is possible that additional reasons will be identified in the future, in particular to support reasons / special values in coverage ranges.
The «voidable» stereotype does not give any information on whether or not a characteristic exists in the real world. This is expressed using the multiplicity:
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If a characteristic may or may not exist in the real world, its minimum cardinality shall be defined as 0. For example, if an Address may or may not have a house number, the multiplicity of the corresponding property shall be 0..1.
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If at least one value for a certain characteristic exists in the real world, the minimum cardinality shall be defined as 1. For example, if an Administrative Unit always has at least one name, the multiplicity of the corresponding property shall be 1..*.
In both cases, the «voidable» stereotype can be applied. In cases where the minimum multiplicity is 0, the absence of a value indicates that it is known that no value exists, whereas a value of void indicates that it is not known whether a value exists or not.
EXAMPLE If an address does not have a house number, the corresponding Address object should not have any value for the «voidable» attribute house number. If the house number is simply not known or not populated in the data set, the Address object should receive a value of void (with the corresponding void reason) for the house number attribute.
5.2.3. Code lists
Code lists are modelled as classes in the application schemas. Their values, however, are managed outside of the application schema.
5.2.3.1. Code list types
The IRs distinguish the following types of code lists.
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IR Requirement
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The type of code list is represented in the UML model through the tagged value extensibility, which can take the following values:
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none, representing code lists whose allowed values comprise only the values specified in the IRs (type a);
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narrower, representing code lists whose allowed values comprise the values specified in the IRs and narrower values defined by data providers (type b);
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open, representing code lists whose allowed values comprise the values specified in the IRs and additional values at any level defined by data providers (type c); and
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any, representing code lists, for which the IRs do not specify any allowed values, i.e. whose allowed values comprise any values defined by data providers (type d).
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Recomendation 3 Additional values defined by data providers should not replace or redefine any value already specified in the IRs. |
NOTE This data specification may specify recommended values for some of the code lists of type (b), (c) and (d) (see section 5.2.4.3). These recommended values are specified in a dedicated Annex.
In addition, code lists can be hierarchical, as explained in Article 6(5) of the IRs.
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IR Requirement (…)
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The type of code list and whether it is hierarchical or not is also indicated in the feature catalogues.
5.2.3.2. Obligations on data providers
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IR Requirement (…)
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Article 6(6) obliges data providers to use only values that are allowed according to the specification of the code list. The "allowed values according to the specification of the code list" are the values explicitly defined in the IRs plus (in the case of code lists of type (b), (c) and (d)) additional values defined by data providers.
For attributes whose type is a code list of type (b), (c) or (d) data providers may use additional values that are not defined in the IRs. Article 6(6) requires that such additional values and their definition be made available in a register. This enables users of the data to look up the meaning of the additional values used in a data set, and also facilitates the re-use of additional values by other data providers (potentially across Member States).
NOTE Guidelines for setting up registers for additional values and how to register additional values in these registers is still an open discussion point between Member States and the Commission.
5.2.3.3. Recommended code list values
For code lists of type (b), (c) and (d), this data specification may propose additional values as a recommendation (in a dedicated Annex). These values will be included in the INSPIRE code list register. This will facilitate and encourage the usage of the recommended values by data providers since the obligation to make additional values defined by data providers available in a register (see section 5.2.4.2) is already met.
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Recomendation 4 Where these Technical Guidelines recommend values for a code list in addition to those specified in the IRs, these values should be used. |
NOTE For some code lists of type (d), no values may be specified in these Technical Guidelines. In these cases, any additional value defined by data providers may be used.
5.2.3.4. Governance
The following two types of code lists are distinguished in INSPIRE:
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Code lists that are governed by INSPIRE (INSPIRE-governed code lists). These code lists will be managed centrally in the INSPIRE code list register. Change requests to these code lists (e.g. to add, deprecate or supersede values) are processed and decided upon using the INSPIRE code list register’s maintenance workflows.
INSPIRE-governed code lists will be made available in the INSPIRE code list register at http://inspire.ec.europa.eu/codelist/<CodeListName>. They will be available in SKOS/RDF, XML and HTML. The maintenance will follow the procedures defined in ISO 19135. This means that the only allowed changes to a code list are the addition, deprecation or supersession of values, i.e. no value will ever be deleted, but only receive different statuses (valid, deprecated, superseded). Identifiers for values of INSPIRE-governed code lists are constructed using the pattern http://inspire.ec.europa.eu/codelist/<CodeListName>/<value>. -
Code lists that are governed by an organisation outside of INSPIRE (externally governed code lists). These code lists are managed by an organisation outside of INSPIRE, e.g. the World Meteorological Organization (WMO) or the World Health Organization (WHO). Change requests to these code lists follow the maintenance workflows defined by the maintaining organisations. Note that in some cases, no such workflows may be formally defined.
Since the updates of externally governed code lists is outside the control of INSPIRE, the IRs and these Technical Guidelines reference a specific version for such code lists.
The tables describing externally governed code lists in this section contain the following columns:-
The Governance column describes the external organisation that is responsible for maintaining the code list.
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The Source column specifies a citation for the authoritative source for the values of the code list. For code lists, whose values are mandated in the IRs, this citation should include the version of the code list used in INSPIRE. The version can be specified using a version number or the publication date. For code list values recommended in these Technical Guidelines, the citation may refer to the "latest available version".
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In some cases, for INSPIRE only a subset of an externally governed code list is relevant. The subset is specified using the Subset column.
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The Availability column specifies from where (e.g. URL) the values of the externally governed code list are available, and in which formats. Formats can include machine-readable (e.g. SKOS/RDF, XML) or human-readable (e.g. HTML, PDF) ones. +
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Code list values are encoded using http URIs and labels. Rules for generating these URIs and labels are specified in a separate table.
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Recomendation 5 The http URIs and labels used for encoding code list values should be taken from the INSPIRE code list registry for INSPIRE-governed code lists and generated according to the relevant rules specified for externally governed code lists. |
NOTE Where practicable, the INSPIRE code list register could also provide http URIs and labels for externally governed code lists.
5.2.3.5. Vocabulary
For each code list, a tagged value called "vocabulary" is specified to define a URI identifying the values of the code list. For INSPIRE-governed code lists and externally governed code lists that do not have a persistent identifier, the URI is constructed following the pattern http://inspire.ec.europa.eu/codelist/<UpperCamelCaseName>.
If the value is missing or empty, this indicates an empty code list. If no sub-classes are defined for this empty code list, this means that any code list may be used that meets the given definition.
An empty code list may also be used as a super-class for a number of specific code lists whose values may be used to specify the attribute value. If the sub-classes specified in the model represent all valid extensions to the empty code list, the subtyping relationship is qualified with the standard UML constraint "\{complete,disjoint}".
5.2.4. Identifier management
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IR Requirement
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NOTE 1 An external object identifier is a unique object identifier which is published by the responsible body, which may be used by external applications to reference the spatial object. [DS-D2.5]
NOTE 2 Article 9(1) is implemented in each application schema by including the attribute inspireId of type Identifier.
NOTE 3 Article 9(2) is ensured if the namespace and localId attributes of the Identifier remains the same for different versions of a spatial object; the version attribute can of course change.
5.2.5. Geometry representation
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IR Requirement
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NOTE 1 The specification restricts the spatial schema to 0-, 1-, 2-, and 2.5-dimensional geometries where all curve interpolations are linear and surface interpolations are performed by triangles.
NOTE 2 The topological relations of two spatial objects based on their specific geometry and topology properties can in principle be investigated by invoking the operations of the types defined in ISO 19107 (or the methods specified in EN ISO 19125-1).
5.2.6. Temporality representation
The application schema(s) use(s) the derived attributes "beginLifespanVersion" and "endLifespanVersion" to record the lifespan of a spatial object.
The attributes "beginLifespanVersion" specifies the date and time at which this version of the spatial object was inserted or changed in the spatial data set. The attribute "endLifespanVersion" specifies the date and time at which this version of the spatial object was superseded or retired in the spatial data set.
NOTE 1 The attributes specify the beginning of the lifespan of the version in the spatial data set itself, which is different from the temporal characteristics of the real-world phenomenon described by the spatial object. This lifespan information, if available, supports mainly two requirements: First, knowledge about the spatial data set content at a specific time; second, knowledge about changes to a data set in a specific time frame. The lifespan information should be as detailed as in the data set (i.e., if the lifespan information in the data set includes seconds, the seconds should be represented in data published in INSPIRE) and include time zone information.
NOTE 2 Changes to the attribute "endLifespanVersion" does not trigger a change in the attribute "beginLifespanVersion".
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IR Requirement (…)
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NOTE The requirement expressed in the IR Requirement above will be included as constraints in the UML data models of all themes.
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Recomendation 6 If life-cycle information is not maintained as part of the spatial data set, all spatial objects belonging to this data set should provide a void value with a reason of "unpopulated". |
5.2.6.1. Validity of the real-world phenomena
The application schema(s) use(s) the attributes "validFrom" and "validTo" to record the validity of the real-world phenomenon represented by a spatial object.
The attributes "validFrom" specifies the date and time at which the real-world phenomenon became valid in the real world. The attribute "validTo" specifies the date and time at which the real-world phenomenon is no longer valid in the real world.
Specific application schemas may give examples what "being valid" means for a specific real-world phenomenon represented by a spatial object.
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IR Requirement (…)
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NOTE The requirement expressed in the IR Requirement above will be included as constraints in the UML data models of all themes.
5.2.7. Coverages
Coverage functions are used to describe characteristics of real-world phenomena that vary over space and/or time. Typical examples are temperature, elevation, precipitation, imagery. A coverage contains a set of such values, each associated with one of the elements in a spatial, temporal or spatio-temporal domain. Typical spatial domains are point sets (e.g. sensor locations), curve sets (e.g. isolines), grids (e.g. orthoimages, elevation models), etc.
In INSPIRE application schemas, coverage functions are defined as properties of spatial object types where the type of the property value is a realisation of one of the types specified in ISO 19123.
To improve alignment with coverage standards on the implementation level (e.g. ISO 19136 and the OGC Web Coverage Service) and to improve the cross-theme harmonisation on the use of coverages in INSPIRE, an application schema for coverage types is included in the Generic Conceptual Model in 9.9.4. This application schema contains the following coverage types:
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RectifiedGridCoverage: coverage whose domain consists of a rectified grid – a grid for which there is an affine transformation between the grid coordinates and the coordinates of a coordinate reference system (see Figure 5, left).
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ReferenceableGridCoverage: coverage whose domain consists of a referenceable grid – a grid associated with a transformation that can be used to convert grid coordinate values to values of coordinates referenced to a coordinate reference system (see Figure 5, right).
In addition, some themes make reference to the types TimeValuePair and Timeseries defined in Taylor, Peter (ed.), OGC® WaterML 2.0: Part 1 – Timeseries, v2.0.0, Open Geospatial Consortium, 2012. These provide a representation of the time instant/value pairs, i.e. time series (see Figure 6).
Where possible, only these coverage types (or a subtype thereof) are used in INSPIRE application schemas.
Figure 5 – Examples of a rectified grid (left) and a referenceable grid (right)
Figure 6 – Example of a time series
5.3. Application schema SOIL
5.3.1. Description
The Soil Model described in this chapter contains the essential elements of a data model that allows the exchange of geo-referenced soil data. The model is described in UML, which is then used as a base for the generation of XML Schema Definition (or .xsd) files, which in turn define the XML format that is to be used for the actual exchange of data.
5.3.1.1. Narrative description
The major spatial object types that can be distinguished in the Soil data model are:
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SoilProfile (including Observed and Derived Soil Profiles)
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ProfileElement (including SoilLayer and SoilHorizon)
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SoilBody
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SoilDerivedObject
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SoilThemeCoverage and SoilThemeDescriptiveCoverage
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SoilSite
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SoilPlot
Their meaning and relationships are explained in the following paragraphs. All objects, apart from SoilThemeCoverage and SoilThemeDescriptiveCoverage, are presented in Figure 7– Vector, while Figure 8 presents the UML class diagram for these objects. The used data types and codelists are illustrated in and Figure 9 and Figure 10. The relation to Observations and Measurements is illustrated in Figure 11.
5.3.1.1.1. Soil Profile, Layer and Horizon
The concepts of "observed soil profile" and "derived soil profile" are represented through the classes ObservedSoilProfile and DerivedSoilProfile that are subtypes of the abstract class SoilProfile. (see Figure 7)
An observed soil profile represents a geo-referenced soil profile, described in the field, possibly sampled and analyzed in the laboratory.
A derived soil profile is a non-point-located soil profile with property values that are derived (e.g. averaged) from the values of the corresponding properties of one or more observed soil profiles. Even if such a connection to an observed soil profile exists, it is not mandatory to provide it (nor its data) together with the derived soil profile. Eventually, a derived soil profile could also be a standalone non-geo-referenced soil profile, not associated to an observed soil profile and with property values that are e.g. assessed by expert knowledge.
Any soil profile can be characterized as a whole by a number of properties, of which the following are included in the model: its soil type according to the WRB soil classification scheme (WRBSoilName) and/or any other soil classification scheme (otherSoilName) with the limitation to one per dataset, and zero or more other parameters, which are expressed through soilProfileObservation associations with OM_Observation objects (see Figure 11). Through the observedProperty role of its Phenomenon association, the OM_Observation object designates the parameter, through the attributes label, basePhenomenon (value selected from the codelist SoilProfileParameterNameValue) (see Figre 10) and uom (unit of measure). Through the result role of the Range association, a value can be given to the parameter; this value should be of the type Number, RangeType (a range of values, as defined in Section 5.3.2.2.6.) or CharacterString (e.g. 'good' or 'very high'). Note that the SoilProfileParameterNameValue codelist can be extended by the data provider when needed.
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IR Requirement Only one Other Soil Name Type classification shall be used for a dataset. |
To promote semantic interoperability and when possible, it is required to use WRB as a classification scheme. On top of inspireID, any soil profile can also be identified by a localIdentifier, which is a character string that allows tagging of the profile object with any information that relates the object to the originating data source of the data provider.
Note that the WRBSoilName is of type WRBSoilNameType that allows to give WRBSoilName a value according to the WRB structure defined for the WRB2006 update 2007 or later versions. The reference to the WRB version which is actually used is encoded through the values taken from the WRB related codelists (WRBReferenceSoilGroupValue, WRBQualifierValue, WRBSpecifierValue and WRBQualifierPlaceValue). If a SoilProfile is to be characterized by earlier versions of WRB (e.g. 1998), the otherSoilName attribute should be used.
Any instance of an ObservedSoilProfile is associated to exactly one instance of a soilPlot (see further) from which the soilPlotLocation attribute indicates the position (i.e. where it is located on the earth’s surface) and for which the soil data provides valid information.
Any soil profile, whether observed or derived, can be described by horizons and layers. Each horizon and layer can have a number of properties. In the model, layers and horizons are represented by the classes SoiLayer and SoilHorizon which are both subtypes of the abstract class ProfileElement. The abstract SoilProfile can consist of one or more ProfileElements.
A horizon or layer is at least characterized by an upper depth and a lower depth, indicating the top and the bottom depth of the horizon or layer from the surface; the attribute in the abstract ProfileElement class that indicates the depths of a horizon or layer is profileElementDepthRange.
The properties of horizons and layers are modelled through the profileElementObservation associations with OM_Observation objects (see Figure 11), in the same way as soil profile parameters are modelled, the only difference being that the parameter is selected from the codelist ProfileElementParameterNameValue (see Figure 10). Note that this codelist can be extended by the data provider when needed.
A horizon is further specified by a horizon name according to the FAO horizon notation scheme from 2006 (FAOHorizonNotation) and/or any other horizon notation schemes (otherHorizonNotation), with the limitation to one per a dataset. A horizon corresponds to a horizontal subdivision of the soil based on pedogenic processes.
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IR Requirement Only one Other Horizon Notation Type classification shall be used for a dataset. |
A layer corresponds to a horizontal subdivision of the soil based on other criteria than pedogenic processes. The way of defining a layer is specified by a layer type name that indicates the kind of layer considered: topsoil, subsoil, depthInterval or geogenic; this is modelled through the layerType attribute in the SoilLayer class. Topsoil and subsoil are complementary concepts used to address pedogenic process domains of the soil irrespective of a horizon description. Depth intervals are often used for chemical characterisation of the soil state and relate often to sampling depths. If the SoilLayer is of the type geogenic, it is described in terms of its non-pedogenic origin and can additionally be described by the following attributes: layerRockType (which gives petrographic or lithologic information on the rock type the layer is made of) and three attributes with reference to layer genesis (layerGenesisProcess, layerGenesisEnvironment, layerGenesisProcessState). Except for layerGenesisProcessState, the involved codelists originate from the INSPIRE Data Specification on Geology.
Note that the values in the codelists SoilProfileParameterNameValue and ProfileElementParameterNameValue (see Figure 10) in this version of the model correspond to requirements concerning soil property data in some European legislation.
Note that, since the parameters for soilProfile, ProfileElement and soilDerivedObject (see below) are linked (through the O&M framework, see Figure 11)) to OM_Observation, which in turn is associated to INSPIRE_OM_Process, it is possible to provide additional information on the process that led to observation values. For example, if soil pH is measured in a salt solution, the kind and concentration of the salt solution as well as the solution to soil proportion and the type of device used can be stated.
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IR Requirement The values of the first level hierarchical code lists: ProfileElementParameterNameValue, SoilDerivedObjectParameterNameValue, SoilProfileParameterNameValue, SoilSiteParameterNameValue (chemicalParameter, biologicalParameter, physicalParameter) serve only the purpose of structuring; only the lower-level values shall be used. |
5.3.1.1.2. SoilBody
To delineate geographically areas with a soil cover that can be characterized by a set of derived soil profiles, the model introduces the construct of the SoilBody class (see Figure 7). It represents an association (or other types of spatial linkages of various soil types) of derived soil profiles that represent the soils found together in the area of the SoilBody. The area is specified by the geometry attribute of the SoilBody. The presence of one or more kinds of soils in the SoilBody is modelled with the association class DerivedProfilePresenceInSoilBody, which allows to indicate which derived soil profiles are used to describe the soils of the SoilBody, and to which extent (expressed as a couple of area share percentages). The couple of percentages offer the flexibility to give a range of percentages to express uncertainty on the presence of any soil type. If only one percentage value is to be used, lower and upper boundaries of the couple of percentages should have identical values. Because of this flexibility with ranges of percentages, it is allowed that the sum of all percentage upper boundaries for the derived soil profiles in one soil body is greater than 100%. However, there is the constraint that the sum of all percentage lower boundaries for the derived soil profiles in one soil body is lower than or equal to 100%.
As an example, a SoilBody could consist of one dominant soil (as described by a derived soil profile) and of other soils (described by other derived soil profiles) having characteristics different from the dominant one. A derived soil profile can be used to characterize more than one SoilBody.
The soilBodyLabel attribute of the SoilBody allows a description of the SoilBody, which may be useful for building legends. The soilBodyLabel contributes to the explanation of a mapping unit of a map, whereas in the metadata linked to the dataset to which the object belongs, a reference should be given to documentation that further explains the labelling of the soil bodies.
Note that although the geometry (polygon areas) of the SoilBody is known and also how much area within it is covered by each of the soils in the area, expressed as a range of percentages, the exact location and spatial pattern of each kind of soils within the SoilBody is not defined.
5.3.1.1.3. SoilDerivedObject
In the context of the model, a SoilDerivedObject (Figure 7) is defined as a spatial object (e.g. a point, line, polygon) representing a soil-related property (using the association soilDerivedObjectObservation with an OM_Observation object, see Figure 11) which value can be (but does not have to be) derived from a) values of soil properties of related observed soil profiles and/or related soil bodies, and/or b) any other data or information intern or extern to the model (for example: instances of other SoilDerivedObjects (intern); landcover/climate data (extern)). A collection of such SoilDerivedObjects constitutes a soil thematic map, and is to be regarded as a dataset. The metadata linked to such a dataset provides the details on how the values for the attributes of the SoilDerivedObjects have been calculated.
The geometry attribute of the SoilDerivedObject specifies type and location of the geographical object (e.g. a polygon or a point). Through the association soilDerivedObjectObservation with an OM_Observation object, a parameter is designated and given a value, in the same way as parameters for the soil profiles and profile elements. The parameter is selected from the codelist SoilDerivedObjectParameterNameValue (see Figure 10); note that this code list can be extended by the data provider when needed.
At SoilDerivedObject object level, the value for the associated parameter in the associated OM_Observation object can be accompanied by zero or more values that provide supplementary information to it. This information is given in zero or more parameter attributes of the OM_Observation object and which values are of the type NamedValue. The class NamedValue provides for a generic soft-typed parameter value. NamedValue supports two attributes: name (datatype: GenericName) that indicates the meaning of the named value, and value (datatype: Any) that provides the value. The type Any should be substituted by a suitable concrete type, e.g. Number.
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IR Requirement When an additional descriptive parameter for the soil derived object is needed, the parameter attribute of the OM_Observation spatial object type shall be used. |
One example of the use of the parameter attribute in the OM_Observation object is for the construction of so-called "purity maps". When one wants to construct a SoilDerivedObject with as geometry a polygon P and with a parameter that contains a value indicating a soil property A (e.g. WaterDrainageClass), based on values for that same property that are found in the DerivedSoilProfile-s associated to a SoilBody covering the same polygon, one could select the value for WaterDrainageClass for the DerivedSoilProfile that is dominant. This is an interpretation of the data and when depicting A as a value in polygon P, the viewer should know that this value is not "pure" and that an amount of information is lost through interpretation. The "purity" of the value for A could be indicated in the parameter attribute of the linked OM_Observation object, which could have a NamedValue consisting of name purity and a value between 0 and 100, computed from the proportions of the DerivedSoilProfiles composing the SoilBody.
Because the multiplicity of the associations between the SoilDerivedObject and the SoilBody and ObservedSoilProfile is "0.." (i.e. zero to many), the SoilDerivedObject class also accommodates for so-called "soil thematic maps" in which the spatial information on a soil property is *not related to any of the soil objects in the model.
Note that the set of name values in the codelist SoilDerivedObjectParameterNameValue in this version of the model corresponds to the union of name values of the code lists SoilProfileParameterNameValue and ProfileElementParameterNameValue, which in turn correspond to requirements concerning soil property data in some European legislation.
A collection of SoilDerivedObjects that may consist of points, lines and/or polygons, is not meant for the exchange of soil thematic data as raster datasets. This feature is implemented with the SoilThemeCoverage class.
5.3.1.1.4. SoilThemeCoverage, SoilThemeDescriptiveCoverage
The specific purpose of the SoilThemeCoverage class (see Figure 8) is to provide a structure for the interchange of soil thematic maps as continuous phenomena. The geometry is represented as a coverage which is defined as a "feature that acts as a function to return values from its range for any direct position within its spatial, temporal or spatiotemporal domain". For soil this commonly is a rectified grid.
The attribute soilThemeParameter is of the datatype SoilThemeParameterType that consists of a soilThemeParameterName (to be taken from the codelist SoilDerivedObjectParameterNameValue, e.g. organicCarbonContent) (see Figure 10) and a unit of measure (e.g. cm). Note that the code list SoilDerivedObjectParameterNameValue can be extended by the data provider when needed.
The values of the gridcells are covered by a rangeSet constraint that says that values shall be of one of the types Number; RangeType (as defined in Section 5.3.2.2.6.) or CharacterString.
Since it may be useful to associate to a coverage other coverages of which the cell values are supplementary information to the corresponding grid cells of the coverage itself, the SoilThemeCoverage class has an association to another coverage, the SoilThemeDescriptiveCoverage. The SoilThemeDescriptiveCoverage has the same spatial and domain extent as the associated SoilThemeCoverage. The attribute soilThemeDescriptiveParameter is of the datatype SoilThemeDescriptiveParameterType that consists of a soilThemeDescriptiveParameterName (characterstring, e.g. purity) and a unit of measure (e.g. cm). The soilThemeDescriptiveParameter gives supplementary information on the grid cell values of the associated coverage, often it concerns qualitative information. An example would be the provision of "purity maps" in relation to for instance soil texture maps.
5.3.1.1.5. SoilSite, SoilPlot
A "soil site" is considered as a wider geographical area, i.e. the larger piece of land where soil investigation takes place in one or more spots, called soil plots. A site represents often just the geographically not strictly defined environment of the plots; thus, the geometry attribute of the soil site can be a surface or a point location. In soil survey and general soil monitoring, all soil information gathered on one site is handled as if it would have been collected at the very same location, which is impossible in the strict sense in the real world whenever soil investigation is destructive. The purpose of this investigation can be general (e.g. taking soil profiles for a general soil characterization) or specific (e.g. sampling to investigate potentially contaminated land). The soil plot object is included in the model to provide the type and location of the associated observed soil profile. A soil plot within a soil site is of a certain type (borehole, sample, trial pit) and located by a geographical point and/or the name of a location.
To a soil plot, one observed soil profile must be associated.
A soil site is represented in the model with the SoilSite class (see Figure 7). Its soilInvestigationPurpose attribute indicates the purpose of investigation: general (generalSoilSurvey) or specific (specificSoilSurvey). This kind of information can be crucial for data evaluation to identify bias in the selection of sites.
The possible properties of a soil site are modelled through the soilSiteObservation associations with OM_Observation objects (see Figure 11), in the same way as soil profile parameters are modelled, the only difference being that the parameter is selected from the codelist SoilSiteParameterNameValue. Note that this codelist can be extended by the data provider when needed.
A soil plot is represented in the model with the SoilPlot class. A SoilSite comprises one or more SoilPlot-s. A soil plot is of a certain type (soilPlotType), and its location is indicated by the attribute soilPlotLocation which can take the form of either a specific X,Y-location or a description of the location using text or an identifier.
5.3.1.1.6. Note on Observations
For the data specifications of soil, the Observations & Measurements standard (O & M) is used (see Figure 11). The Observations & Measurements standard defines a domain-independent conceptual model for the representation of (spatiotemporal) measurement and other observation data. ISO 19156 defines an application schema as a reference schema for data required by one or more applications. O & M can be used as a generic means to deal with measurements and other observations in a standardized way. From that standard, OM_Observation is used in the soil model; from the INSPIRE O&M package, the INSPIRE_OM_Process and the data type ObservableProperty are used in the soil model. This means that for each observation the phenomenonTime and resultTime are always used and additional properties may be used. The resultTime for soil is usually the same time as the PhenomenonTime unless the analysis is not carried out in the field. For the process information, at least a name and a responsible party have to be provided. Additionally, other properties that refer to online or offline documentation can be used. When needed, process parameters can be provided. For instance, for the soil profile parameter with the name carbonStock, which is placed in the basePhenomenon attribute of the ObservableProperty type, the processParameter attribute of the INSPIRE_OM_Process class (that is linked to the ObservableProperty) could hold a value that indicates the depth to which this carbonStock value pertains.
In the model, all the information related to the observation is considered to be the evidence of the value of the property belonging to the feature of interest (i.e. the relevant soil object). This evidence is associated to the feature of interest. In the soil application schema, this is associated to either soilProfile, ProfileElement, SoilDerivedObject or SoilSite as being the "feature of interest".
5.3.1.2. UML Overview
Figure 7 – UML class diagram: Overview of the SOIL application schema (Vector part)
Figure 8 - UML class diagram: Overview of the SOIL application schema (Coverages part)
Figure 9 - UML class diagram: Overview of the SOIL data types
Figure 10 – UML class diagram: Overview of the SOIL code lists
Figure 11 - UML class diagram: Overview of the SOIL relation with O&M classes
5.3.2. Feature catalogue
Feature catalogue metadata
Application Schema |
INSPIRE Application Schema Soil |
Version number |
3.0 |
Types defined in the feature catalogue
Type |
Package |
Stereotypes |
DerivedProfilePresenceInSoilBody |
Soil |
«associationType» |
DerivedSoilProfile |
Soil |
«featureType» |
FAOHorizonMasterValue |
Soil |
«codelist» |
FAOHorizonNotationType |
Soil |
«dataType» |
FAOHorizonSubordinateValue |
Soil |
«codelist» |
FAOPrimeValue |
Soil |
«codelist» |
LayerGenesisProcessStateValue |
Soil |
«codelist» |
LayerTypeValue |
Soil |
«codelist» |
ObservedSoilProfile |
Soil |
«featureType» |
OtherHorizonNotationType |
Soil |
«dataType» |
OtherHorizonNotationTypeValue |
Soil |
«codelist» |
OtherSoilNameType |
Soil |
«dataType» |
OtherSoilNameTypeValue |
Soil |
«codelist» |
ParticleSizeFractionType |
Soil |
«dataType» |
ProfileElement |
Soil |
«featureType» |
ProfileElementParameterNameValue |
Soil |
«codelist» |
RangeType |
Soil |
«dataType» |
SoilBody |
Soil |
«featureType» |
SoilDerivedObject |
Soil |
«featureType» |
SoilDerivedObjectParameterNameValue |
Soil |
«codelist» |
SoilHorizon |
Soil |
«featureType» |
SoilInvestigationPurposeValue |
Soil |
«codelist» |
SoilLayer |
Soil |
«featureType» |
SoilPlot |
Soil |
«featureType» |
SoilPlotTypeValue |
Soil |
«codelist» |
SoilProfile |
Soil |
«featureType» |
SoilProfileParameterNameValue |
Soil |
«codelist» |
SoilSite |
Soil |
«featureType» |
SoilSiteParameterNameValue |
Soil |
«codelist» |
SoilThemeCoverage |
Soil |
«featureType» |
SoilThemeDescriptiveCoverage |
Soil |
«featureType» |
SoilThemeDescriptiveParameterType |
Soil |
«dataType» |
SoilThemeParameterType |
Soil |
«dataType» |
WRBQualifierGroupType |
Soil |
«dataType» |
WRBQualifierPlaceValue |
Soil |
«codelist» |
WRBQualifierValue |
Soil |
«codelist» |
WRBReferenceSoilGroupValue |
Soil |
«codelist» |
WRBSoilNameType |
Soil |
«dataType» |
WRBSpecifierValue |
Soil |
«codelist» |
5.3.2.1. Spatial object types
5.3.2.1.1. DerivedProfilePresenceInSoilBody
DerivedProfilePresenceInSoilBody |
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5.3.2.1.2. DerivedSoilProfile
DerivedSoilProfile |
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Association role: isDerivedFrom
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5.3.2.1.3. ObservedSoilProfile
ObservedSoilProfile |
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Association role: location
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5.3.2.1.4. ProfileElement
ProfileElement (abstract) |
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Attribute: inspireId
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Attribute: particleSizeFraction
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Attribute: profileElementDepthRange
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Attribute: beginLifespanVersion
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Attribute: endLifespanVersion
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Association role: isPartOf
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Constraint: code list for profile element observations
|
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Constraint: FoI of profile element observations
|
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Constraint: result of profile element observations
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5.3.2.1.5. SoilBody
SoilBody |
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|
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Attribute: inspireId
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Attribute: geometry
|
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Attribute: soilBodyLabel
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Attribute: beginLifespanVersion
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Attribute: endLifespanVersion
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Association role: isDescribedBy [the association has additional attributes - see association class DerivedProfilePresenceInSoilBody]
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5.3.2.1.6. SoilDerivedObject
SoilDerivedObject |
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Attribute: inspireId
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Attribute: geometry
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Association role: isBasedOnSoilDerivedObject
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Association role: isBasedOnObservedSoilProfile
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Association role: isBasedOnSoilBody
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Constraint: code list for parameter of soil derived objects
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Constraint: FoI of Soil derived object observations
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Constraint: results of soil derived object observations
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5.3.2.1.7. SoilHorizon
SoilHorizon |
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Attribute: FAOHorizonNotation
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Attribute: otherHorizonNotation
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5.3.2.1.8. SoilLayer
SoilLayer |
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Attribute: layerType
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Attribute: layerRockType
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Attribute: layerGenesisProcess
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Attribute: layerGenesisEnvironment
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Attribute: layerGenesisProcessState
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Constraint: geogenicConstraint
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5.3.2.1.9. SoilPlot
SoilPlot |
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Attribute: inspireId
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Attribute: soilPlotLocation
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Attribute: soilPlotType
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Attribute: beginLifespanVersion
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Attribute: endLifespanVersion
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Association role: locatedOn
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Association role: observedProfile
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5.3.2.1.10. SoilProfile
SoilProfile (abstract) |
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Attribute: inspireId
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Attribute: localIdentifier
|
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Attribute: WRBSoilName
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Attribute: otherSoilName
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Attribute: validFrom
|
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Attribute: validTo
|
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Attribute: beginLifespanVersion
|
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Attribute: endLifespanVersion
|
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Association role: isDescribedBy
|
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Constraint: code list for soil profile observations
|
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Constraint: FoI of soil profile observations
|
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Constraint: result of soil profile observations
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5.3.2.1.11. SoilSite
SoilSite |
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Attribute: inspireId
|
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Attribute: geometry
|
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Attribute: soilInvestigationPurpose
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Attribute: validFrom
|
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Attribute: validTo
|
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Attribute: beginLifespanVersion
|
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Attribute: endLifespanVersion
|
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Association role: isObservedOnLocation
|
|||||||||||||||
Constraint: code list for soil site observations
|
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Constraint: FoI of soil site observations
|
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Constraint: result of soil site observations
|
5.3.2.1.12. SoilThemeCoverage
SoilThemeCoverage |
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|
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Attribute: beginLifespanVersion
|
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Attribute: endLifespanVersion
|
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Attribute: domainExtent
|
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Attribute: validTimeFrom
|
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Attribute: validTimeTo
|
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Attribute: soilThemeParameter
|
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Association role: isDescribedBy
|
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Constraint: rangeSetValuesConstraint
|
5.3.2.1.13. SoilThemeDescriptiveCoverage
SoilThemeDescriptiveCoverage |
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|
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Attribute: beginLifespanVersion
|
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Attribute: endLifespanVersion
|
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Attribute: domainExtent
|
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Attribute: soilThemeDescriptiveParameter
|
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Association role: isDescribing
|
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Constraint: rangeSetValuesConstraint
|
5.3.2.2. Data types
5.3.2.2.1. DerivedProfilePresenceInSoilBody
DerivedProfilePresenceInSoilBody (association class) |
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|
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Attribute: derivedProfilePercentageRange
|
5.3.2.2.2. FAOHorizonNotationType
FAOHorizonNotationType |
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|
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Attribute: FAOHorizonDiscontinuity
|
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Attribute: FAOHorizonMaster
|
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Attribute: FAOPrime
|
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Attribute: FAOHorizonSubordinate
|
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Attribute: FAOHorizonVertical
|
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Attribute: isOriginalClassification
|
5.3.2.2.3. OtherHorizonNotationType
OtherHorizonNotationType |
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|
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Attribute: horizonNotation
|
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Attribute: isOriginalClassification
|
5.3.2.2.4. OtherSoilNameType
OtherSoilNameType |
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|
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Attribute: soilName
|
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Attribute: isOriginalClassification
|
5.3.2.2.5. ParticleSizeFractionType
ParticleSizeFractionType |
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|
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Attribute: fractionContent
|
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Attribute: fractionParticleSizeRange
|
5.3.2.2.6. RangeType
RangeType |
||||||||||||
|
||||||||||||
Attribute: upperValue
|
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Attribute: lowerValue
|
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Attribute: uom
|
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Constraint: intervalConstraint
|
5.3.2.2.7. SoilThemeDescriptiveParameterType
SoilThemeDescriptiveParameterType |
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|
|||||||||||||||
Attribute: soilThemeDescriptiveParameterName
|
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Attribute: uom
|
5.3.2.2.8. SoilThemeParameterType
SoilThemeParameterType |
|||||||||||||||
|
|||||||||||||||
Attribute: soilThemeParameterName
|
|||||||||||||||
Attribute: uom
|
5.3.2.2.9. WRBQualifierGroupType
WRBQualifierGroupType |
|||||||||||||||
|
|||||||||||||||
Attribute: qualifierPlace
|
|||||||||||||||
Attribute: qualifierPosition
|
|||||||||||||||
Attribute: WRBqualifier
|
|||||||||||||||
Attribute: WRBspecifier
|
5.3.2.2.10. WRBSoilNameType
WRBSoilNameType |
|||||||||||||||
|
|||||||||||||||
Attribute: WRBQualifierGroup
|
|||||||||||||||
Attribute: WRBReferenceSoilGroup
|
|||||||||||||||
Attribute: isOriginalClassification
|
|||||||||||||||
Association role: over
|
5.3.2.3. Code lists
5.3.2.3.1. FAOHorizonMasterValue
FAOHorizonMasterValue |
|||||||||||||||
|
5.3.2.3.2. FAOHorizonSubordinateValue
FAOHorizonSubordinateValue |
||||||||||||||||||
|
5.3.2.3.3. FAOPrimeValue
FAOPrimeValue |
||||||||||||||||||
|
5.3.2.3.4. LayerGenesisProcessStateValue
LayerGenesisProcessStateValue |
||||||||||||||||||
|
5.3.2.3.5. LayerTypeValue
LayerTypeValue |
||||||||||||||||||
|
5.3.2.3.6. OtherHorizonNotationTypeValue
OtherHorizonNotationTypeValue |
|||||||||||||||
|
5.3.2.3.7. OtherSoilNameTypeValue
OtherSoilNameTypeValue |
|||||||||||||||
|
5.3.2.3.8. ProfileElementParameterNameValue
ProfileElementParameterNameValue |
||||||||||||||||||
|
5.3.2.3.9. SoilDerivedObjectParameterNameValue
SoilDerivedObjectParameterNameValue |
||||||||||||||||||
|
5.3.2.3.10. SoilInvestigationPurposeValue
SoilInvestigationPurposeValue |
||||||||||||||||||
|
5.3.2.3.11. SoilPlotTypeValue
SoilPlotTypeValue |
||||||||||||||||||
|
5.3.2.3.12. SoilProfileParameterNameValue
SoilProfileParameterNameValue |
||||||||||||||||||
|
5.3.2.3.13. SoilSiteParameterNameValue
SoilSiteParameterNameValue |
||||||||||||||||||
|
5.3.2.3.14. WRBQualifierPlaceValue
WRBQualifierPlaceValue |
|||||||||||||||
|
5.3.2.3.15. WRBQualifierValue
WRBQualifierValue |
||||||||||||||||||
|
5.3.2.3.16. WRBReferenceSoilGroupValue
WRBReferenceSoilGroupValue |
||||||||||||||||||
|
5.3.2.3.17. WRBSpecifierValue
WRBSpecifierValue |
||||||||||||||||||
|
5.3.2.4. Imported types (informative)
This section lists definitions for feature types, data types and code lists that are defined in other application schemas. The section is purely informative and should help the reader understand the feature catalogue presented in the previous sections. For the normative documentation of these types, see the given references.
5.3.2.4.1. Boolean
Boolean |
||||||
|
5.3.2.4.2. CharacterString
CharacterString |
||||||
|
5.3.2.4.3. Date
Date |
||||||
|
5.3.2.4.4. DateTime
DateTime |
||||||
|
5.3.2.4.5. EX_Extent
EX_Extent |
||||||
|
5.3.2.4.6. EventEnvironmentValue
EventEnvironmentValue |
|||||||||
|
5.3.2.4.7. EventProcessValue
EventProcessValue |
||||||||||||
|
5.3.2.4.8. GM_MultiSurface
GM_MultiSurface |
||||||
|
5.3.2.4.9. GM_Object
GM_Object (abstract) |
||||||
|
5.3.2.4.10. Identifier
Identifier |
||||||||||||
|
5.3.2.4.11. Integer
Integer |
||||||
|
5.3.2.4.12. LithologyValue
LithologyValue |
||||||||||||
|
5.3.2.4.13. Location
Location |
||||||
|
5.3.2.4.14. Number
Number (abstract) |
||||||
|
5.3.2.4.15. Real
Real |
||||||
|
5.3.2.4.16. RectifiedGridCoverage
RectifiedGridCoverage |
||||||||||||
|
5.3.2.4.17. UnitOfMeasure
UnitOfMeasure (abstract) |
||||||
|
5.3.3. Externally governed code lists
The externally governed code lists included in this application schema are specified in the tables in this section and in Annex C.
5.3.3.1. Governance and authoritative source
Code list |
Governance |
Authoritative Source |
FAOHorizonMasterValue |
Food and Agriculture Organization of the United Nations |
Guidelines for soil description, 4th edition, Food and Agriculture Organization of the United Nations, Rome, 2006, pp. 67-77. |
FAOHorizonSubordinateValue |
Food and Agriculture Organization of the United Nations |
Guidelines for soil description, 4th edition, Food and Agriculture Organization of the United Nations, Rome, 2006, pp. 67-77. |
FAOPrimeValue |
Food and Agriculture Organization of the United Nations |
Guidelines for soil description, 4th edition, Food and Agriculture Organization of the United Nations, Rome, 2006, pp. 67-77. |
WRBQualifierPlaceValue |
Food and Agriculture Organization of the United Nations |
World reference base for soil resources 2006, first update 2007, World Soil Resources Reports No. 103, Food and Agriculture Organization of the United Nations, Rome, 2007. |
WRBQualifierValue |
Food and Agriculture Organization of the United Nations |
World reference base for soil resources 2006, first update 2007, World Soil Resources Reports No. 103, Food and Agriculture Organization of the United Nations, Rome, 2007. |
WRBReferenceSoilGroupValue |
Food and Agriculture Organization of the United Nations |
World reference base for soil resources 2006, first update 2007, World Soil Resources Reports No. 103, Food and Agriculture Organization of the United Nations, Rome, 2007. |
WRBSpecifierValue |
Food and Agriculture Organization of the United Nations |
World reference base for soil resources 2006, first update 2007, World Soil Resources Reports No. 103, Food and Agriculture Organization of the United Nations, Rome, 2007. |
5.3.3.2. Availability
Code list |
Availability |
Format |
FAOHorizonMasterValue |
ftp://ftp.fao.org/agl/agll/docs/guidel_soil_descr.pdf (p. 67-71) |
|
FAOHorizonSubordinateValue |
ftp://ftp.fao.org/agl/agll/docs/guidel_soil_descr.pdf (p. 72 Table 85) |
|
FAOPrimeValue |
ftp://ftp.fao.org/agl/agll/docs/guidel_soil_descr.pdf (p. 77) |
|
WRBQualifierPlaceValue |
http://www.fao.org/fileadmin/templates/nr/images/resources/pdf_documents/wrb2007_red.pdf (p. 51-66) |
|
WRBQualifierValue |
http://www.fao.org/fileadmin/templates/nr/images/resources/pdf_documents/wrb2007_red.pdf (p. 97-107) |
|
WRBReferenceSoilGroupValue |
http://www.fao.org/fileadmin/templates/nr/images/resources/pdf_documents/wrb2007_red.pdf (p. 51-66) |
|
WRBSpecifierValue |
http://www.fao.org/fileadmin/templates/nr/images/resources/pdf_documents/wrb2007_red.pdf (p. 107) |
NOTE All the externally managed code lists are presented in the Annex C of this document
6. Reference systems, units of measure and grids
6.1. Default reference systems, units of measure and grid
The reference systems, units of measure and geographic grid systems included in this sub-section are the defaults to be used for all INSPIRE data sets, unless theme-specific exceptions and/or additional requirements are defined in section 6.2.
6.1.1. Coordinate reference systems
6.1.1.1. Datum
📕
|
IR Requirement For the three-dimensional and two-dimensional coordinate reference systems and the horizontal component of compound coordinate reference systems used for making spatial data sets available, the datum shall be the datum of the European Terrestrial Reference System 1989 (ETRS89) in areas within its geographical scope, or the datum of the International Terrestrial Reference System (ITRS) or other geodetic coordinate reference systems compliant with ITRS in areas that are outside the geographical scope of ETRS89. Compliant with the ITRS means that the system definition is based on the definition of the ITRS and there is a well documented relationship between both systems, according to EN ISO 19111. |
6.1.1.2. Coordinate reference systems
📕
|
IR Requirement Spatial data sets shall be made available using at least one of the coordinate reference systems specified in sections 1.3.1, 1.3.2 and 1.3.3, unless one of the conditions specified in section 1.3.4 holds. 1.3.1. Three-dimensional Coordinate Reference Systems
1.3.2. Two-dimensional Coordinate Reference Systems
1.3.3. Compound Coordinate Reference Systems
1.3.4. Other Coordinate Reference Systems Exceptions, where other coordinate reference systems than those listed in 1.3.1, 1.3.2 or 1.3.3 may be used, are:
The geodetic codes and parameters needed to describe these other coordinate reference systems and to allow conversion and transformation operations shall be documented and an identifier shall be created in a coordinate systems register established and operated by the Commission, according to EN ISO 19111 and ISO 19127. |
6.1.1.3. Display
📕
|
IR Requirement For the display of spatial data sets with the view network service as specified in Regulation No 976/2009, at least the coordinate reference systems for two-dimensional geodetic coordinates (latitude, longitude) shall be available. |
6.1.1.4. Identifiers for coordinate reference systems
📕
|
IR Requirement
|
These Technical Guidelines propose to use the http URIs provided by the Open Geospatial Consortium as coordinate reference system identifiers (see identifiers for the default CRSs in the INSPIRE coordinate reference systems register) . These are based on and redirect to the definition in the EPSG Geodetic Parameter Registry (http://www.epsg-registry.org/).
📒
|
TG Requirement 2 The identifiers listed in the INSPIRE coordinate reference systems register (https://inspire.ec.europa.eu/crs) shall be used for referring to the coordinate reference systems used in a data set. |
NOTE CRS identifiers may be used e.g. in:
-
data encoding,
-
data set and service metadata, and
-
requests to INSPIRE network services.
6.1.2. Temporal reference system
📕
|
IR Requirement
|
NOTE 1 Point 5 of part B of the Annex to Commission Regulation (EC) No 1205/2008 (the INSPIRE Metadata IRs) states that the default reference system shall be the Gregorian calendar, with dates expressed in accordance with ISO 8601.
NOTE 2 ISO 8601 Data elements and interchange formats – Information interchange – Representation of dates and times is an international standard covering the exchange of date and time-related data. The purpose of this standard is to provide an unambiguous and well-defined method of representing dates and times, so as to avoid misinterpretation of numeric representations of dates and times, particularly when data is transferred between countries with different conventions for writing numeric dates and times. The standard organizes the data so the largest temporal term (the year) appears first in the data string and progresses to the smallest term (the second). It also provides for a standardized method of communicating time-based information across time zones by attaching an offset to Coordinated Universal Time (UTC).
EXAMPLE 1997 (the year 1997), 1997-07-16 (16th July 1997), 1997-07-16T19:20:3001:00 (16th July 1997, 19h 20' 30'', time zone: UTC1)
6.1.3. Units of measure
📕
|
IR Requirement (…)
|
6.1.4. Grids
📕
|
IR Requirement Either of the grids with fixed and unambiguously defined locations defined in Sections 2.2.1 and 2.2.2 shall be used as a geo-referencing framework to make gridded data available in INSPIRE, unless one of the following conditions holds:
2.2 Equal Area Grid The grid is based on the ETRS89 Lambert Azimuthal Equal Area (ETRS89-LAEA) coordinate reference system with the centre of the projection at the point 52o N, 10o E and false easting: x0 = 4321000 m, false northing: y0 = 3210000 m. The origin of the grid coincides with the false origin of the ETRS89-LAEA coordinate reference system (x=0, y=0). Grid points of grids based on ETRS89-LAEA shall coincide with grid points of the grid. The grid is hierarchical, with resolutions of 1m, 10m, 100m, 1000m, 10000m and 100000m. The grid orientation is south-north, west-east. The grid is designated as Grid_ETRS89-LAEA. For identification of an individual resolution level the cell size in metres is appended. For the unambiguous referencing and identification of a grid cell, the cell code composed of the size of the cell and the coordinates of the lower left cell corner in ETRS89-LAEA shall be used. The cell size shall be denoted in metres ("m") for cell sizes up to 100m or kilometres ("km") for cell sizes of 1000m and above. Values for northing and easting shall be divided by 10n, where n is the number of trailing zeros in the cell size value. |
6.2. Theme-specific requirements and recommendations
There are no theme-specific requirements or recommendations on reference systems and grids.
7. Data quality
This chapter includes a description of the data quality elements and sub-elements as well as the corresponding data quality measures that should be used to evaluate and document data quality for data sets related to the spatial data theme Soil (section 7.1).
It may also define requirements or recommendations about the targeted data quality results applicable for data sets related to the spatial data theme Soil (sections 7.2 and 957.3).
In particular, the data quality elements, sub-elements and measures specified in section 7.1 should be used for
-
evaluating and documenting data quality properties and constraints of spatial objects, where such properties or constraints are defined as part of the application schema(s) (see section 5);
-
evaluating and documenting data quality metadata elements of spatial data sets (see section 8); and/or
-
specifying requirements or recommendations about the targeted data quality results applicable for data sets related to the spatial data theme Soil (see sections 7.2 and 7.3).
The descriptions of the elements and measures are based on Annex D of ISO/DIS 19157 Geographic information – Data quality.
7.1. Data quality elements
Table 3 lists all data quality elements and sub-elements that are being used in this specification. Data quality information can be evaluated at level of spatial object, spatial object type, dataset or dataset series. The level at which the evaluation is performed is given in the "Evaluation Scope" column.
The measures to be used for each of the listed data quality sub-elements are defined in the following sub-sections.
Table 3 – Data quality elements used in the spatial data theme Soil
Section |
Data quality element |
Data quality sub-element |
Definition |
Evaluation Scope |
7.1.1 |
Logical consistency |
Conceptual consistency |
adherence to rules of the conceptual schema |
spatial object type; spatial object |
7.1.2 |
Logical consistency |
Domain consistency |
adherence of values to the value domains |
spatial object type; spatial object |
7.1.3 |
Completeness |
Omission |
data absent from the dataset, as described by the scope |
spatial object type; spatial object |
📘
|
Recomendation 7 Where it is impossible to express the evaluation of a data quality element in a quantitative way, the evaluation of the element should be expressed with a textual statement as a data quality descriptive result. |
7.1.1. Logical consistency – Conceptual consistency
The Application Schema conformance class of the Abstract Test Suite in Annex I defines a number of tests to evaluate the conceptual consistency (tests A.1.1-A.1.11) of a data set. The tests of the IR Theme-specific Requirements related to risk zones are also included (A.1.4-A.1.7.)
📘
|
Recomendation 8 For the tests on conceptual consistency, it is recommended to use the Logical consistency – Conceptual consistency data quality sub-element and the measure Number of items not compliant with the rules of the conceptual schema as specified in the table below. |
Name |
|
Alternative name |
- |
Data quality element |
logical consistency |
Data quality sub-element |
conceptual consistency |
Data quality basic measure |
error count |
Definition |
count of all items in the dataset that are not compliant with the rules of the conceptual schema |
Description |
If the conceptual schema explicitly or implicitly describes rules, these rules shall be followed. Violations against such rules can be, for example, invalid placement of features within a defined tolerance, duplication of features and invalid overlap of features. |
Evaluation scope |
spatial object / spatial object type |
Reporting scope |
data set |
Parameter |
- |
Data quality value type |
integer |
Data quality value structure |
- |
Source reference |
ISO/DIS 19157 Geographic information – Data quality |
Example |
|
Measure identifier |
10 |
7.1.2. Logical consistency – Domain consistency
The Application Schema conformance class of the Abstract Test Suite in Annex I defines a number of tests to evaluate the domain consistency (tests A1.10-A.1.12) of a data set.
📘
|
Recomendation 9 For the tests on domain consistency, it is recommended to use the Logical consistency – Domain consistency data quality sub-element and the measure Number of items not in conformance with their value domain as specified in the table below. |
Name |
Number of items not in conformance with their value domain |
Alternative name |
- |
Data quality element |
logical consistency |
Data quality sub-element |
domain consistency |
Data quality basic measure |
error count |
Definition |
count of all items in the dataset that are not in conformance with their value domain |
Description |
|
Evaluation scope |
spatial object / spatial object type |
Reporting scope |
data set |
Parameter |
- |
Data quality value type |
integer |
7.1.3. Completeness – Omission
📘
|
Recomendation 10 Omission should be evaluated and documented using rate of missing items as specified in the tables below. |
Name |
Rate of missing items |
Alternative name |
- |
Data quality element |
Completeness |
Data quality sub-element |
Omission |
Data quality basic measure |
Error rate |
Definition |
Number of missing items in the dataset in relation to the number of items that should have been present |
Description |
|
Evaluation scope |
spatial object: Soil profile, parameters WRBSoilName, FAOHorizonNotation of soil horizons assigned to the soil profile |
Reporting scope |
data set data set series |
Parameter |
- |
Data quality value type |
Real (percentage) |
Data quality value structure |
Single value |
Source reference |
ISO/DIS 19157 Geographic information – Data quality |
Example |
The data set contains 23 observed soil profiles. For 22 of them, a WRB name is provided. So the value for the rate of missing items is 1/23 multiplied by 100 percent, i.e. 4.35 %. |
Measure identifier |
7 (ISO/DIS 19157:2012) |
7.2. Minimum data quality requirements
No minimum data quality requirements are defined for the spatial data theme Soil.
7.3. Minimum data quality recommendations
No minimum data quality recommendations are defined for the spatial data theme Soil.
8. Dataset-level metadata
This section specifies dataset-level metadata elements, which should be used for documenting metadata for a complete dataset or dataset series.
NOTE Metadata can also be reported for each individual spatial object (spatial object-level metadata). Spatial object-level metadata is fully described in the application schema(s) (section 5).
For some dataset-level metadata elements, in particular those for reporting data quality and maintenance, a more specific scope can be specified. This allows the definition of metadata at sub-dataset level, e.g. separately for each spatial object type (see instructions for the relevant metadata element).
8.1. Metadata elements defined in INSPIRE Metadata Regulation
Table 4 gives an overview of the metadata elements specified in Regulation 1205/2008/EC (implementing Directive 2007/2/EC of the European Parliament and of the Council as regards metadata).
The table contains the following information:
-
The first column provides a reference to the relevant section in the Metadata Regulation, which contains a more detailed description.
-
The second column specifies the name of the metadata element.
-
The third column specifies the multiplicity.
-
The fourth column specifies the condition, under which the given element becomes mandatory.
Table 4 – Metadata for spatial datasets and spatial dataset series specified in Regulation 1205/2008/EC
Metadata Regulation Section |
Metadata element |
Multiplicity |
Condition |
1.1 |
Resource title |
1 |
|
1.2 |
Resource abstract |
1 |
|
1.3 |
Resource type |
1 |
|
1.4 |
Resource locator |
0..* |
Mandatory if a URL is available to obtain more information on the resource, and/or access related services. |
1.5 |
Unique resource identifier |
1..* |
|
1.7 |
Resource language |
0..* |
Mandatory if the resource includes textual information. |
2.1 |
Topic category |
1..* |
|
3 |
Keyword |
1..* |
|
4.1 |
Geographic bounding box |
1..* |
|
5 |
Temporal reference |
1..* |
|
6.1 |
Lineage |
1 |
|
6.2 |
Spatial resolution |
0..* |
Mandatory for data sets and data set series if an equivalent scale or a resolution distance can be specified. |
7 |
Conformity |
1..* |
|
8.1 |
Conditions for access and use |
1..* |
|
8.2 |
Limitations on public access |
1..* |
|
9 |
Responsible organisation |
1..* |
|
10.1 |
Metadata point of contact |
1..* |
|
10.2 |
Metadata date |
1 |
|
10.3 |
Metadata language |
1 |
Generic guidelines for implementing these elements using ISO 19115 and 19119 are available at https://knowledge-base.inspire.ec.europa.eu/publications/technical-guidance-implementation-inspire-dataset-and-service-metadata-based-isots-191392007_en. The following sections describe additional theme-specific recommendations and requirements for implementing these elements.
8.1.1. Conformity
The Conformity metadata element defined in Regulation 1205/2008/EC requires to report the conformance with the Implementing Rule for interoperability of spatial data sets and services. In addition, it may be used also to document the conformance to another specification.
📘
|
Recomendation 11 Dataset metadata should include a statement on the overall conformance of the dataset with this data specification (i.e. conformance with all requirements). |
📘
|
Recomendation 12 The Conformity metadata element should be used to document conformance with this data specification (as a whole), with a specific conformance class defined in the Abstract Test Suite in Annex A and/or with another specification. |
The Conformity element includes two sub-elements, the Specification (a citation of the Implementing Rule for interoperability of spatial data sets and services or other specification), and the Degree of conformity. The Degree can be Conformant (if the dataset is fully conformant with the cited specification), Not Conformant (if the dataset does not conform to the cited specification) or Not Evaluated (if the conformance has not been evaluated).
📘
|
Recomendation 13 If a dataset is not yet conformant with all requirements of this data specification, it is recommended to include information on the conformance with the individual conformance classes specified in the Abstract Test Suite in Annex A. |
📘
|
Recomendation 14 If a dataset is produced or transformed according to an external specification that includes specific quality assurance procedures, the conformity with this specification should be documented using the Conformity metadata element. |
📘
|
Recomendation 15 If minimum data quality recommendations are defined then the statement on the conformity with these requirements should be included using the Conformity metadata element and referring to the relevant data quality conformance class in the Abstract Test Suite. |
NOTE Currently no minimum data quality requirements are included in the IRs. The recommendation above should be included as a requirement in the IRs if minimum data quality requirements are defined at some point in the future.
📘
|
Recomendation 16 When documenting conformance with this data specification or one of the conformance classes defined in the Abstract Test Suite, the Specification sub-element should be given using the http URI identifier of the conformance class or using a citation including the following elements:
|
EXAMPLE 1: The XML snippets below show how to fill the Specification sub-element for documenting conformance with the whole data specification on Addresses v3.0.1.
<gmd:DQ_ConformanceResult>
<gmd:specification href="http://inspire.ec.europa.eu/conformanceClass/ad/3.0.1/tg" />
<gmd:explanation> (...) </gmd:explanation>
<gmd:pass> (...) </gmd:pass>
</gmd:DQ_ConformanceResult>
or (using a citation):
<gmd:DQ_ConformanceResult>
<gmd:specification>
<gmd:CI_Citation>
<gmd:title>
<gco:CharacterString>INSPIRE Data Specification on Soil – Draft Guidelines</gco:CharacterString>
</gmd:title>
<gmd:date>
<gmd:date>
<gco:Date>2013-01-24</gco:Date>
</gmd:date>
<gmd:dateType>
<gmd:CI_DateTypeCode codeList="http://standards.iso.org/ittf/PubliclyAvailableStandards/ISO_19139_Schemas/resou
rces/Codelist/ML_gmxCodelists.xml#CI_DateTypeCode" codeListValue="publication">publication</gmd:CI_DateTypeCode>
</gmd:dateType>
</gmd:date>
</gmd:CI_Citation>
</gmd:specification>
<gmd:explanation> (...) </gmd:explanation>
<gmd:pass> (...) </gmd:pass>
</gmd:DQ_ConformanceResult>
EXAMPLE 2: The XML snippets below show how to fill the Specification sub-element for documenting conformance with the CRS conformance class of the data specification on Addresses v3.0.1.
<gmd:DQ_ConformanceResult>
<gmd:specification href="http://inspire.ec.europa.eu/conformanceClass/ad/3.0.1/crs" />
<gmd:explanation> (...) </gmd:explanation>
<gmd:pass> (...) </gmd:pass>
</gmd:DQ_ConformanceResult>
or (using a citation):
<gmd:DQ_ConformanceResult>
<gmd:specification>
<gmd:CI_Citation>
<gmd:title>
<gco:CharacterString>INSPIRE Data Specification on Soil – Draft Guidelines – CRS</gco:CharacterString>
</gmd:title>
<gmd:date>
<gmd:date>
<gco:Date>2013-01-24</gco:Date>
</gmd:date>
<gmd:dateType>
<gmd:CI_DateTypeCode codeList="http://standards.iso.org/ittf/PubliclyAvailableStandards/ISO_19139_Schemas/resou
rces/Codelist/ML_gmxCodelists.xml#CI_DateTypeCode" codeListValue="publication">publication</gmd:CI_DateTypeCode>
</gmd:dateType>
</gmd:date>
</gmd:CI_Citation>
</gmd:specification>
<gmd:explanation> (...) </gmd:explanation>
<gmd:pass> (...) </gmd:pass>
</gmd:DQ_ConformanceResult>
8.1.2. Lineage
📘
|
Recomendation 17 Following the ISO/DIS 19157 Quality principles, if a data provider has a procedure for the quality management of their spatial data sets then the appropriate data quality elements and measures defined in ISO/DIS 19157 should be used to evaluate and report (in the metadata) the results. If not, the Lineage metadata element (defined in Regulation 1205/2008/EC) should be used to describe the overall quality of a spatial data set. |
According to Regulation 1205/2008/EC, lineage "is a statement on process history and/or overall quality of the spatial data set. Where appropriate it may include a statement whether the data set has been validated or quality assured, whether it is the official version (if multiple versions exist), and whether it has legal validity. The value domain of this metadata element is free text".
The Metadata Technical Guidelines based on EN ISO 19115 and EN ISO 19119 specifies that the statement sub-element of LI_Lineage (EN ISO 19115) should be used to implement the lineage metadata element.
📘
|
Recomendation 18 To describe the transformation steps and related source data, it is recommended to use the following sub-elements of LI_Lineage:
|
NOTE 1 In order to improve the interoperability, domain templates and instructions for using these free text elements (descriptive statements) may be specified here and/or in an Annex of this data specification.
8.1.2.1. Theme specific recommendation on the use of Lineage
The Lineage metadata field should be used to
-
state which source data have been used to produce the current dataset;
-
resulting limitations to the use of the dataset, e.g. regarding scale, and
-
describe known errors or shortcomings of the dataset.
If data on soil or other kinds of classification are included in the dataset, the classification systems should be stated or described as well.
8.1.3. Temporal reference
According to Regulation 1205/2008/EC, at least one of the following temporal reference metadata sub-elements shall be provided: temporal extent, date of publication, date of last revision, date of creation.
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Recomendation 19 It is recommended that at least the date of the last revision of a spatial data set should be reported using the Date of last revision metadata sub-element. |
8.2. Metadata elements for interoperability
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|
IR Requirement The metadata describing a spatial data set shall include the following metadata elements required for interoperability:
|
These Technical Guidelines propose to implement the required metadata elements based on ISO 19115 and ISO/TS 19139.
The following TG requirements need to be met in order to be conformant with the proposed encoding.
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TG Requirement 3 Metadata instance (XML) documents shall validate without error against the used ISO 19139 XML schema. |
NOTE Section 2.1.2 of the Metadata Technical Guidelines discusses the different ISO 19139 XML schemas that are currently available.
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TG Requirement 4 Metadata instance (XML) documents shall contain the elements and meet the INSPIRE multiplicity specified in the sections below. |
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TG Requirement 5 The elements specified below shall be available in the specified ISO/TS 19139 path. |
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Recomendation 20 The metadata elements for interoperability should be made available together with the metadata elements defined in the Metadata Regulation through an INSPIRE discovery service. |
NOTE While this not explicitly required by any of the INSPIRE Implementing Rules, making all metadata of a data set available together and through one service simplifies implementation and usability.
8.2.1. Coordinate Reference System
Metadata element name |
Coordinate Reference System |
Definition |
Description of the coordinate reference system used in the dataset. |
ISO 19115 number and name |
13. referenceSystemInfo |
ISO/TS 19139 path |
referenceSystemInfo |
INSPIRE obligation / condition |
mandatory |
INSPIRE multiplicity |
1..* |
Data type(and ISO 19115 no.) |
186. MD_ReferenceSystem |
Domain |
To identify the reference system, the referenceSystemIdentifier (RS_Identifier) shall be provided. NOTE More specific instructions, in particular on pre-defined values for filling the referenceSystemIdentifier attribute should be agreed among Member States during the implementation phase to support interoperability. |
Implementing instructions |
|
Example |
referenceSystemIdentifier: |
Example XML encoding |
|
Comments |
8.2.2. Temporal Reference System
Metadata element name |
Temporal Reference System |
Definition |
Description of the temporal reference systems used in the dataset. |
ISO 19115 number and name |
13. referenceSystemInfo |
ISO/TS 19139 path |
referenceSystemInfo |
INSPIRE obligation / condition |
Mandatory, if the spatial data set or one of its feature types contains temporal information that does not refer to the Gregorian Calendar or the Coordinated Universal Time. |
INSPIRE multiplicity |
0..* |
Data type(and ISO 19115 no.) |
186. MD_ReferenceSystem |
Domain |
No specific type is defined in ISO 19115 for temporal reference systems. Thus, the generic MD_ReferenceSystem element and its reference SystemIdentifier (RS_Identifier) property shall be provided. NOTE More specific instructions, in particular on pre-defined values for filling the referenceSystemIdentifier attribute should be agreed among Member States during the implementation phase to support interoperability. |
Implementing instructions |
|
Example |
referenceSystemIdentifier: |
Example XML encoding |
|
Comments |
8.2.3. Encoding
Metadata element name |
Encoding |
Definition |
Description of the computer language construct that specifies the representation of data objects in a record, file, message, storage device or transmission channel |
ISO 19115 number and name |
271. distributionFormat |
ISO/TS 19139 path |
distributionInfo/MD_Distribution/distributionFormat |
INSPIRE obligation / condition |
mandatory |
INSPIRE multiplicity |
1..* |
Data type (and ISO 19115 no.) |
284. MD_Format |
Domain |
See B.2.10.4. The property values (name, version, specification) specified in section 5 shall be used to document the default and alternative encodings. |
Implementing instructions |
|
Example |
name: <Application schema nameGML application schema |
Example XML encoding |
|
Comments |
8.2.4. Character Encoding
Metadata element name |
Character Encoding |
Definition |
The character encoding used in the data set. |
ISO 19115 number and name |
|
ISO/TS 19139 path |
|
INSPIRE obligation / condition |
Mandatory, if an encoding is used that is not based on UTF-8. |
INSPIRE multiplicity |
0..* |
Data type (and ISO 19115 no.) |
|
Domain |
|
Implementing instructions |
|
Example |
- |
Example XML encoding |
|
Comments |
8.2.5. Spatial representation type
Metadata element name |
Spatial representation type |
Definition |
The method used to spatially represent geographic information. |
ISO 19115 number and name |
37. spatialRepresentationType |
ISO/TS 19139 path |
|
INSPIRE obligation / condition |
Mandatory |
INSPIRE multiplicity |
1..* |
Data type (and ISO 19115 no.) |
B.5.26 MD_SpatialRepresentationTypeCode |
Domain |
|
Implementing instructions |
Of the values included in the code list in ISO 19115 (vector, grid, textTable, tin, stereoModel, video), only vector, grid and tin should be used. NOTE Additional code list values may be defined based on feedback from implementation. |
Example |
- |
Example XML encoding |
|
Comments |
8.2.6. Data Quality – Logical Consistency – Topological Consistency
See section 8.3.2 for instructions on how to implement metadata elements for reporting data quality.
8.3. Recommended theme-specific metadata elements
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Recomendation 21 The metadata describing a spatial data set or a spatial data set series related to the theme Soil should comprise the theme-specific metadata elements specified in Table 5. |
The table contains the following information:
-
The first column provides a reference to a more detailed description.
-
The second column specifies the name of the metadata element.
-
The third column specifies the multiplicity.
Table 5 – Optional theme-specific metadata elements for the theme Soil
Section |
Metadata element |
Multiplicity |
8.3.1 |
Maintenance Information |
0..1 |
8.3.2 |
Logical Consistency – Conceptual Consistency |
0..* |
8.3.2 |
Logical Consistency – Domain Consistency |
0..* |
8.3.2 |
Commission – Ommission |
0..* |
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Recomendation 22 For implementing the metadata elements included in this section using ISO 19115, ISO/DIS 19157 and ISO/TS 19139, the instructions included in the relevant sub-sections should be followed. |
8.3.1. Maintenance Information
Metadata element name |
Maintenance information |
Definition |
Information about the scope and frequency of updating |
ISO 19115 number and name |
30. resourceMaintenance |
ISO/TS 19139 path |
identificationInfo/MD_Identification/resourceMaintenance |
INSPIRE obligation / condition |
optional |
INSPIRE multiplicity |
0..1 |
Data type(and ISO 19115 no.) |
142. MD_MaintenanceInformation |
Domain |
This is a complex type (lines 143-148 from ISO 19115). At least the following elements should be used (the multiplicity according to ISO 19115 is shown in parentheses):
|
Implementing instructions |
|
Example |
|
Example XML encoding |
|
Comments |
8.3.2. Metadata elements for reporting data quality
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Recomendation 23 For reporting the results of the data quality evaluation, the data quality elements, sub-elements and (for quantitative evaluation) measures defined in chapter 7 should be used. |
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Recomendation 24 The metadata elements specified in the following sections should be used to report the results of the data quality evaluation. At least the information included in the row "Implementation instructions" should be provided. |
The first section applies to reporting quantitative results (using the element DQ_QuantitativeResult), while the second section applies to reporting non-quantitative results (using the element DQ_DescriptiveResult).
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Recomendation 25 If a dataset does not pass the tests of the Application schema conformance class (defined in Annex A), the results of each test should be reported using one of the options described in sections 8.3.2.1 and 8.3.2.2. |
NOTE 1 If using non-quantitative description, the results of several tests do not have to be reported separately, but may be combined into one descriptive statement.
NOTE 2 The sections 8.3.2.1 and 8.3.2.2 may need to be updated once the XML schemas for ISO 19157 have been finalised.
The scope for reporting may be different from the scope for evaluating data quality (see section 7). If data quality is reported at the data set or spatial object type level, the results are usually derived or aggregated.
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Recomendation 26 The scope element (of type DQ_Scope) of the DQ_DataQuality subtype should be used to encode the reporting scope. Only the following values should be used for the level element of DQ_Scope: Series, Dataset, featureType. If the level is featureType the levelDescription/MDScopeDescription/features element (of type Set< GF_FeatureType>) shall be used to list the feature type names. |
NOTE In the level element of DQ_Scope, the value featureType is used to denote spatial object type.
8.3.2.1. Guidelines for reporting quantitative results of the data quality evaluation
Metadata element name |
See chapter 7 |
Definition |
See chapter 7 |
ISO/DIS 19157 number and name |
3. report |
ISO/TS 19139 path |
dataQualityInfo/*/report |
INSPIRE obligation / condition |
optional |
INSPIRE multiplicity |
0..* |
Data type (and ISO/DIS 19157 no.) |
Corresponding DQ_xxx subelement from ISO/DIS 19157, e.g. 12. DQ_CompletenessCommission |
Domain |
Lines 7-9 from ISO/DIS 19157 |
Implementing instructions |
39. nameOfMeasure NOTE This should be the name as defined in Chapter 7. 42. evaluationMethodType 43. evaluationMethodDescription NOTE If the reported data quality results are derived or aggregated (i.e. the scope levels for evaluation and reporting are different), the derivation or aggregation should also be specified using this property. 46. dateTime NOTE This should be data or range of dates on which the data quality measure was applied. 63. DQ_QuantitativeResult / 64. value NOTE The DQ_Result type should be DQ_QuantitativeResult and the value(s) represent(s) the application of the data quality measure (39.) using the specified evaluation method (42-43.) |
Example |
See Table E.12 — Reporting commission as metadata (ISO/DIS 19157) |
Example XML encoding |
8.3.2.2. Guidelines for reporting descriptive results of the Data Quality evaluation
Metadata element name |
See chapter 7 |
Definition |
See chapter 7 |
ISO/DIS 19157 number and name |
3. report |
ISO/TS 19139 path |
dataQualityInfo/*/report |
INSPIRE obligation / condition |
optional |
INSPIRE multiplicity |
0..* |
Data type (and ISO/DIS 19157 no.) |
Corresponding DQ_xxx subelement from ISO/DIS 19157, e.g. 12. DQ_CompletenessCommission |
Domain |
Line 9 from ISO/DIS 19157 |
Implementing instructions |
67. DQ_DescripitveResult / 68. statement NOTE The DQ_Result type should be DQ_DescriptiveResult and in the statement (68.) the evaluation of the selected DQ sub-element should be expressed in a narrative way. |
Example |
See Table E.15 — Reporting descriptive result as metadata (ISO/DIS 19157) |
Example XML encoding |
9. Delivery
9.1. Updates
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IR Requirement
|
NOTE In this data specification, no exception is specified, so all updates shall be made available at the latest 6 months after the change was applied in the source data set.
9.2. Delivery medium
According to Article 11(1) of the INSPIRE Directive, Member States shall establish and operate a network of services for INSPIRE spatial data sets and services. The relevant network service types for making spatial data available are:
-
view services making it possible, as a minimum, to display, navigate, zoom in/out, pan, or overlay viewable spatial data sets and to display legend information and any relevant content of metadata;
-
download services, enabling copies of spatial data sets, or parts of such sets, to be downloaded and, where practicable, accessed directly;
-
transformation services, enabling spatial data sets to be transformed with a view to achieving interoperability.
NOTE For the relevant requirements and recommendations for network services, see the relevant Implementing Rules and Technical Guidelines[16].
EXAMPLE 1 Through the Get Spatial Objects function, a download service can either download a pre-defined data set or pre-defined part of a data set (non-direct access download service), or give direct access to the spatial objects contained in the data set, and download selections of spatial objects based upon a query (direct access download service). To execute such a request, some of the following information might be required:
-
the list of spatial object types and/or predefined data sets that are offered by the download service (to be provided through the Get Download Service Metadata operation),
-
and the query capabilities section advertising the types of predicates that may be used to form a query expression (to be provided through the Get Download Service Metadata operation, where applicable),
-
a description of spatial object types offered by a download service instance (to be provided through the Describe Spatial Object Types operation).
EXAMPLE 2 Through the Transform function, a transformation service carries out data content transformations from native data forms to the INSPIRE-compliant form and vice versa. If this operation is directly called by an application to transform source data (e.g. obtained through a download service) that is not yet conformant with this data specification, the following parameters are required:
Input data (mandatory). The data set to be transformed.
-
Source model (mandatory, if cannot be determined from the input data). The model in which the input data is provided.
-
Target model (mandatory). The model in which the results are expected.
-
Model mapping (mandatory, unless a default exists). Detailed description of how the transformation is to be carried out.
9.3. Encodings
The IRs contain the following two requirements for the encoding to be used to make data available.
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IR Requirement 1. Every encoding rule used to encode spatial data shall conform to EN ISO 19118. In particular, it shall specify schema conversion rules for all spatial object types and all attributes and association roles and the output data structure used. 2. Every encoding rule used to encode spatial data shall be made available. 2a. Every encoding rule used to encode spatial data shall also specify whether and how to represent attributes and association roles for which a corresponding value exists but is not contained in the spatial data sets maintained by a Member State, or cannot be derived from existing values at reasonable costs. |
NOTE ISO 19118:2011 specifies the requirements for defining encoding rules used for interchange of geographic data within the set of International Standards known as the "ISO 19100 series". An encoding rule allows geographic information defined by application schemas and standardized schemas to be coded into a system-independent data structure suitable for transport and storage. The encoding rule specifies the types of data being coded and the syntax, structure and coding schemes used in the resulting data structure. Specifically, ISO 19118:2011 includes
-
requirements for creating encoding rules based on UML schemas,
-
requirements for creating encoding services, and
-
requirements for XML-based encoding rules for neutral interchange of data.
While the IRs do not oblige the usage of a specific encoding, these Technical Guidelines propose to make data related to the spatial data theme Soil available at least in the default encoding(s) specified in section 0. In this section, a number of TG requirements are listed that need to be met in order to be conformant with the default encoding(s).
The proposed default encoding(s) meet the requirements in Article 7 of the IRs, i.e. they are conformant with ISO 19118 and (since they are included in this specification) publicly available.
9.3.1. Default Encoding(s)
9.3.1.1. Specific requirements for GML encoding
This data specification proposes the use of GML as the default encoding, as recommended in sections 7.2 and 7.3 of [DS-D2.7]. GML is an XML encoding in compliance with ISO 19118, as required in Article 7(1). For details, see [ISO 19136], and in particular Annex E (UML-to-GML application schema encoding rules).
The following TG requirements need to be met in order to be conformant with GML encodings.
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TG Requirement 6 Data instance (XML) documents shall validate without error against the provided XML schema. |
NOTE 1 Not all constraints defined in the application schemas can be mapped to XML. Therefore, the following requirement is necessary.
NOTE 2 The obligation to use only the allowed code list values specified for attributes and most of the constraints defined in the application schemas cannot be mapped to the XML sch. They can therefore not be enforced through schema validation. It may be possible to express some of these constraints using other schema or rule languages (e.g. Schematron), in order to enable automatic validation.
9.3.1.2. Default encoding(s) for application schema <application schema name>
Name: Soil GML Application Schema
Version: 4.0
Specification: D2.8.III.3 Data Specification on Soil – Technical Guidelines
Character set: UTF-8
The xml schema document is available from https://inspire.ec.europa.eu/schemas/so/4.0/Soil.xsd
9.3.2. Recommended Encoding(s)
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Recomendation 27 It is recommended that also the encodings specified in this section be provided for the relevant application schemas. |
NOTE In the Annex D the TWG has prepared the SoilContamination data model extension that includes the feature catalogue. It is recommended as a starting point for further development.
9.4. Options for delivering coverage data
For coverages, different encodings may be used for the domain and the range of the coverage. There are several options for packaging the domain and range encoding when delivering coverage data through a download service, as discussed below[17].].
Multipart representation
For performance reasons, binary file formats are usually preferred to text-based formats such as XML for storing large amounts of coverage data. However, they cannot directly constitute an alternative to pure GML, since their own data structure might often not support all the ISO 19123 elements used to describe coverages in the conceptual model.
The OGC standard GML Application Schema for coverages [OGC 09-146r2] offers a format encoding which combines these two approaches. The first part consists of a GML document representing all coverage components except the range set, which is contained in the second part in some other encoding format such as 'well known' binary formats'. Some information in the second part may be redundant with the GML content of the first part. In this case, consistency must be necessarily ensured, for example by defining a GML mapping of the additional encoding format.
The advantage of this multipart representation is that coverage constituents are not handled individually but as a whole. This is not really the case with GML which also allows the encoding of the value side of the coverage in external binary files, but via references to remote locations.
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TG Requirement 7 Coverage data encoded as multipart messages shall comply with the multipart representation conformance class defined in GML Application Schema for Coverages [OGC 09-146r2]. |
NOTE The GML Application Schema for Coverages establishes a one-to-one relationship between coverages and multipart document instances.
Reference to an external file
The range set can be encoded within the XML structure as an external binary file using the gml:File element. This has the benefit of efficiently storing the range set data within an external file that is of a well-known format type, for example TIFF or GeoTIFF. This method of encoding is of most use for the storage of large files.
Encoding the range inline
This option encodes the range set data within the XML inline. This is encoded as a DataBlock element. This encoding provides much greater visibility for the range set values, however, this comes at the cost of reduced efficiency. This method of encoding would therefore only be suitable for small datasets.
Encoding the domain inside a JPEG 2000 file
This option consists in packaging all the components of one or several coverages, including the domain expressed in GML, in a single JPEG 2000 file. It is based on the OGC standard GML in JPEG 2000 for Geographic Imagery [OGC 05-047r2], also known as GMLJP2, which specifies how to use GML within the XML boxes of JPEG 2000 files.
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TG Requirement 8 Coverage data encoded in standalone JPEG 2000 files shall comply with the OGC standard GML in JPEG 2000 for Geographic Imagery [OGC 05-047r2]. |
TG Requirement 8 implies that all the encoding rules presented in GMLJP2 shall be strictly followed for including GML within JPEG 2000 data files correctly. For the sake of harmonization, the encoding rules adopted for the multipart message encoding should also apply to the GMLJP2 encoding.
9.4.1.1 The encoding of coverage components in GMLJP2 within a JPEG 2000 file should conform to the rules specified in the Guidelines for the encoding of spatial data [DS-D2.7].optional encoding for the coverage part of the application schema Soil
For Soil Theme and associated Soil Theme Descriptive spatial object types that provide the possibility to exchange soil thematic maps information as coverages the following encodings are recommended:
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Recomendation 1 The recommended coverage encodings for SoilThemeCoverage, SoilThemeDescribtedCoverage spatial object types are: GeoTIFF and JPEG2000. |
The encoding of coverage components in GMLJP2 within a JPEG 2000 file should conform to the rules specified in the Guidelines for the encoding of spatial data [DS-D2.7]
10. Data Capture
There is no specific guidance required with respect to data capture.
11. Portrayal
This clause defines the rules for layers and styles to be used for portrayal of the spatial object types defined for this theme. Portrayal is regulated in Article 14 of the IRs.
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IR Requirement
|
In section 11.1, the types of layers are defined that are to be used for the portrayal of the spatial object types defined in this specification. A view service may offer several layers of the same type, one for each dataset that it offers data on a specific topic.
NOTE The layer specification in the IRs only contains the name, a human readable title and the (subset(s) of) spatial object type(s), that constitute(s) the content of the layer. In addition, these Technical Guidelines suggest keywords for describing the layer.
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Recomendation 28 It is recommended to use the keywords specified in section 11.1 in the Layers Metadata parameters of the INSPIRE View service (see Annex III, Part A, section 2.2.4 in Commission Regulation (EC) No 976/2009). |
Section 11.2 specifies one style for each of these layers. It is proposed that INSPIRE view services support this style as the default style required by Article 14(1b).
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TG Requirement 9 For each layer specified in this section, the styles defined in section 11.2 shall be available. |
NOTE The default style should be used for portrayal by the view network service if no user-defined style is specified in a portrayal request for a specific layer.
In section 11.3, further styles can be specified that represent examples of styles typically used in a thematic domain. It is recommended that also these styles should be supported by INSPIRE view services, where applicable.
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Recomendation 29 In addition, it is recommended that, where applicable, INSPIRE view services also support the styles defined in section 11.3. |
Where XML fragments are used in the following sections, the following namespace prefixes apply:
-
sld="http://www.opengis.net/sld" (WMS/SLD 1.1)
-
se="http://www.opengis.net/se" (SE 1.1)
-
ogc="http://www.opengis.net/ogc" (FE 1.1)
11.1. Layers to be provided by INSPIRE view services
Layer Name |
Layer Title |
Spatial object type(s) |
Keywords |
SO.SoilBody |
Soils |
SoilBody |
soil body |
SO.ObservedSoilProfile |
Observed Soil Profile |
ObservedSoilProfile, SoilPlot |
soil plot, soil plot location, bore hole, boring, bore hole location, soil profile, profile, soil profile location, trial pit, trial pit location, soil pit |
SO.SoilSite |
Soil Site |
SoilSite |
soil Site |
SO. <CodeListValue> where <CodeListValueis one entry from the codelist SoilDerivedObjectParameterNameValue Example: SO. organicCarbonContent |
<human readable name> Example: OrganicCarbonContent |
SoilDerivedObject (basePhenomenon: SoilDerivedObjectParameterNameValue) |
Soil theme, soil property |
SO.<CodeListValueCoverage where <CodeListValueis one entry from the codelist SoilDerivedObjectParameterNameValue Example: SO. organicCarbonContentCoverage |
<human readable name> Example: OrganicCarbonContent Coverage |
SoilThemeCoverage (soilThemeParameter/ soilThemeParameterName: SoilDerivedObjectParameterNameValue) |
Soil theme, soil property |
NOTE The table above contains several layers for the spatial object type(s) <spatial object type names>, which can be further classified using a code list-valued attribute. Such sets of layers are specified as described in Article 14(3) of the IRs.
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IR Requirement (…)
|
11.1.1. Layers organisation
None.
11.2. Styles required to be supported by INSPIRE view services
11.2.1. Styles for the layer SO.SoilBody
Style Name |
SO.SoilBody.Default |
Default Style |
Yes |
Style Title |
Soil Body Default Style |
Style Abstract |
This style is for visualising the boundaries of soil bodies (polygon geometry) using a solid black outline with a stroke width of 1 pixel. Each polygon can be labelled with a value that links it unambiguously to its soilBodyLabel (e.g. the value of the soilBodyLabel itself); the label should be in black colour using a halo to be readable on dark solid fills and only appears at a certain level of detail centred on the polygon centroid with a size of 10 pt. The same label should appear in the legend with the soilBodyLabel text. This style can be used when overlaying this layer on light coloured backgrounds. |
Symbology |
Open issue 1: The SLD still has to be created |
Minimum & maximum scales |
No scale limits |
11.2.2. Styles for the layer SO.ObservedSoilProfile
Style Name |
SO.SoilObservedProfile.Default |
Default Style |
Yes |
Style Title |
Observed Soil Profile Default Style |
Style Abstract |
This style is for visualising the location associated to instances of the ObservedSoilProfile object, provided that the soilPlotLocation attribute of the associated SoilPlot object is expressed in (X,Y) coordinates. Depending on the value of the attribute soilPlotType, the object is to be displayed differently: a solid red circle when the value is borehole, a solid blue circle when the value is trialPit, a solid green circle when the value is sample. |
Symbology |
Open issue 2: The SLD still has to be created |
Minimum & maximum scales |
No scale limits |
11.2.3. Styles for the layer SO.SoilSite
Style Name |
SO.SoilSite.Default |
Default Style |
Yes |
Style Title |
Soil Site Default Style |
Style Abstract |
This style is for visualising the boundaries of soil sites (polygon geometry) using a solid blue outline with a stroke width of 1 pixel. |
Symbology |
Open issue 3: The SLD still has to be created |
Minimum & maximum scales |
No scale limits |
11.3. Other recommended styles
11.3.1. Styles for the layer SO.SoilBody
Style Name |
SO.SoilBody.WRB |
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Style Title |
Soil Body WRB style |
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Style Abstract |
In the data specifications for SOIL, any instance of the SoilBody object 'is described by' one or more instances of the DerivedSoilProfile object. If the WRBSoilName attribute of these instances hold valid values (i.e. values of the type WRBSoilNameType), one could derive (through an algorithm) a WRB Reference Soil Group value to be associated with the instance of the SoilBody object. The style SO.SoilBody.WRB is for filling the polygons defined by the geometry attribute with a colour associated with the computed WRB Reference Soil Group. This SO.SoilBody.WRB style additionally outlines the polygons as defined in the SO.SoilBody.Default style. There is one colour defined for each of the 32 WRB Reference Soil Groups (RSG):
|
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Symbology |
Open issue 4: The style has to be transformed to a proper SLD |
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Minimum & maximum scales |
No scale limits |
Style Name |
SO.SoilBody.Alternative |
Default Style |
Yes |
Style Title |
Soil Body Alternative Style |
Style Abstract |
This style is for visualising the boundaries of soil bodies (polygon geometry) using a solid yellow outline with a stroke width of 1 pixel. Each polygon can be labelled with a value that links it unambiguously to its soilBodyLabel (e.g. the value of the soilBodyLabel itself); the label should be in yellow colour using a halo to be readable on dark solid fills and only appears at a certain level of detail centred on the polygon centroid with a size of 10 pt. The same label should appear in the legend with the soilBodyLabel text. This style can be used when overlaying this layer on dark coloured backgrounds. |
Symbology |
Open issue 5: The SLD still has to be created |
Minimum & maximum scales |
No scale limits |
Bibliography
[DS-D2.3] INSPIRE DS-D2.3, Definition of Annex Themes and Scope, v3.0, https://knowledge-base.inspire.ec.europa.eu/publications/definition-annex-themes-and-scope-d-23-version-30_en
[DS-D2.5] INSPIRE DS-D2.5, Generic Conceptual Model, v3.4rc2, https://knowledge-base.inspire.ec.europa.eu/publications/inspire-generic-conceptual-model_en
[DS-D2.6] INSPIRE DS-D2.6, Methodology for the development of data specifications, v3.0, https://knowledge-base.inspire.ec.europa.eu/publications/methodology-development-data-specifications-baseline-version-d-26-version-30_en
[DS-D2.7] INSPIRE DS-D2.7, Guidelines for the encoding of spatial data, v3.3rc2, https://knowledge-base.inspire.ec.europa.eu/publications/guidelines-encoding-spatial-data_en
[ISO 19101] EN ISO 19101:2005 Geographic information – Reference model (ISO 19101:2002)
[ISO 19103] ISO/TS 19103:2005, Geographic information – Conceptual schema language
[ISO 19107] EN ISO 19107:2005, Geographic information – Spatial schema (ISO 19107:2003)
[ISO 19108] EN ISO 19108:2005 Geographic information - Temporal schema (ISO 19108:2002)
[ISO 19111] EN ISO 19111:2007 Geographic information - Spatial referencing by coordinates (ISO 19111:2007)
[ISO 19115] EN ISO 19115:2005, Geographic information – Metadata (ISO 19115:2003)
[ISO 19118] EN ISO 19118:2006, Geographic information – Encoding (ISO 19118:2005)
[ISO 19135] EN ISO 19135:2007 Geographic information – Procedures for item registration (ISO 19135:2005)
[ISO 19139] ISO/TS 19139:2007, Geographic information – Metadata – XML schema implementation
[ISO 19157] ISO/DIS 19157, Geographic information – Data quality
[ISO 28258] ISO/DIS 28258 – Soil Quality – Digital Exchange of Soil-Related Data
[OGC 06-103r3] Implementation Specification for Geographic Information - Simple feature access – Part 1: Common Architecture v1.2.0
Annex A: Abstract Test Suite (normative)
Disclaimer |
The objective of the Abstract Test Suite (ATS) included in this Annex is to help the conformance testing process. It includes a set of tests to be applied on a data set to evaluate whether it fulfils the requirements included in this data specification and the corresponding parts of Commission Regulation No 1089/2010 (implementing rule as regards interoperability of spatial datasets and services, further referred to as ISDSS Regulation). This is to help data providers in declaring the conformity of a data set to the "degree of conformity, with implementing rules adopted under Article 7(1) of Directive 2007/2/EC", which is required to be provided in the data set metadata according to Commission Regulation (EC) No 2008/1205 (the Metadata Regulation).
Part 1 of this ATS includes tests that provide input for assessing conformity with the ISDSS regulation. In order to make visible which requirements are addressed by a specific test, references to the corresponding articles of the legal act are given. The way how the cited requirements apply to so specification is described under the testing method.
In addition to the requirements included in ISDSS Regulation this Technical guideline contains TG requirements too. TG requirements are technical provisions that need to be fulfilled in order to be conformant with the corresponding IR requirement when the specific technical implementation proposed in this document is used. Such requirements relate for example to the default encoding described in section 9. Part 2 of the ATS presents tests necessary for assessing the conformity with TG requirements.
NOTE Conformance of a data set with the TG requirement(s) included in this ATS implies conformance with the corresponding IR requirement(s).
The ATS is applicable to the data sets that have been transformed to be made available through INSPIRE download services (i.e. the data returned as a response to the mandatory "Get Spatial Dataset" operation) rather than the original "source" data sets.
The requirements to be tested are grouped in several conformance classes. Each of these classes covers a specific aspect: one conformance class contains tests reflecting the requirements on the application schema, another on the reference systems, etc. Each conformance class is identified by a URI (uniform resource identifier) according to the following pattern:
http://inspire.ec.europa.eu/conformance-class/ir/so/<conformance class identifier>
EXAMPLE 1 The URI http://inspire.ec.europa.eu/conformance-class/ir/ef/rs identifies the Reference Systems ISDSS conformance class of the Environmental Monitoring Facilities (EF) data theme.
The results of the tests should be published referring to the relevant conformance class (using its URI).
When an INSPIRE data specification contains more than one application schema, the requirements tested in a conformance class may differ depending on the application schema used as a target for the transformation of the data set. This will always be the case for the application schema conformance class. However, also other conformance classes could have different requirements for different application schemas. In such cases, a separate conformance class is defined for each application schema, and they are distinguished by specific URIs according to the following pattern:
http://inspire.ec.europa.eu/conformance-class/ir/so/<conformance class identifier>/
<application schema namespace prefix>
EXAMPLE 2 The URI http://inspire.ec.europa.eu/conformance-class/ir/el/as/el-vec identifies the conformity with the application schema (as) conformance class for the Elevation Vector Elements (el-vec) application schema.
An overview of the conformance classes and the associated tests is given in the table below.
Table 1. Overview of the tests within this Abstract Test Suite.
A.1. Application Schema Conformance Class |
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A.2. Reference Systems Conformance Class |
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A.3. Data Consistency Conformance Class |
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A.4. Metadata IR Conformance Class |
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A.5. Information Accessibility Conformance Class |
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A.6. Data Delivery Conformance Class |
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A.7. Portrayal Conformance Class |
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A.8. Technical Guideline Conformance Class |
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In order to be conformant to a conformance class, a data set has to pass all tests defined for that conformance class.
In order to be conformant with the ISDSS regulation the inspected data set needs to be conformant to all conformance classes in Part 1. The conformance class for overall conformity with the ISDSS regulation is identified by the URI http://inspire.ec.europa.eu/conformance-class/ir/so/.
In order to be conformant with the Technical Guidelines, the dataset under inspection needs to be conformant to all conformance classes included both in Part 1 and 2. Chapter 8 describes in detail how to publish the result of testing regarding overall conformity and conformity with the conformance classes as metadata. The conformance class for overall conformity with the Technical Guidelines is identified by the URI http://inspire.ec.europa.eu/conformance-class/tg/so/3.0.
It should be noted that data providers are not obliged to integrate / decompose the original structure of the source data sets when they deliver them for INSPIRE. It means that a conformant dataset can contain less or more spatial object / data types than specified in the ISDSS Regulation.
A dataset that contains less spatial object and/or data types can be regarded conformant when the corresponding types of the source datasets after the necessary transformations fulfil the requirements set out in the ISDSS Regulation.
A dataset that contain more spatial object and/or data types may be regarded as conformant when
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all the spatial object / data types that have corresponding types in the source dataset after the necessary transformations fulfil the requirements set out in the ISDSS Regulation and
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all additional elements of the source model (spatial object types, data types, attributes, constraints and code lists together with their values) do not conflict with any rule defined in the interoperability target specifications defined for any theme within INSPIRE.
Open issue 6: Even though the last condition can be derived from Art. 8(4) of the Directive, the ISDSS Regulation does not contain requirements concerning the above issue. Therefore, no specific tests have been included in this abstract suite for testing conformity of extended application schemas. Annex F of the Generic Conceptual Model (D2.5) provides an example how to extend INSPIRE application schemas in a compliant way. |
The ATS contains a detailed list of abstract tests. It should be noted that some tests in the Application schema conformance class can be automated by utilising xml schema validation tools. It should be noted that failing such validation test does not necessary reflect non-compliance to the application schema; it may be the results of erroneous encoding.
Each test in this suite follows the same structure:
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Requirement: citation from the legal texts (ISDSS requirements) or the Technical Guidelines (TG requirements);
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Purpose: definition of the scope of the test;
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Reference: link to any material that may be useful during the test;
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Test method: description of the testing procedure.
According to ISO 19105:2000 all tests in this ATS are basic tests. Therefore, this statement is not repeated each time.
Part 1 (normative)
Conformity with Commission Regulation No 1089/2010
A.1. Application Schema Conformance Class
Conformance class:
http://inspire.ec.europa.eu/conformance-class/ir/so/as/Soil
A.1.1. Schema element denomination test
a) Purpose: Verification whether each element of the dataset under inspection carries a name specified in the target application schema(s).
b) Reference: Art. 3 and Art.4 of Commission Regulation No 1089/2010
c) Test Method: Examine whether the corresponding elements of the source schema (spatial object types, data types, attributes, association roles, and code lists) are mapped to the target schema with the correct designation of mnemonic names.
NOTE Further technical information is in the Feature catalogue and UML diagram of the application schema(s) in section 5.2.
A.1.2. Value type test
a) Purpose: Verification whether all attributes or association roles use the corresponding value types specified in the application schema(s).
b) Reference: Art. 3, Art.4, Art.6(1), Art.6(4), Art.6(5) and Art.9(1)of Commission Regulation No 1089/2010.
c) Test Method: Examine whether the value type of each provided attribute or association role adheres to the corresponding value type specified in the target specification.
NOTE 1 This test comprises testing the value types of INSPIRE identifiers, the value types of attributes and association roles that should be taken from enumeration and code lists, and the coverage domains.
NOTE 2 Further technical information is in the Feature catalogue and UML diagram of the application schema(s) in section 5.2.
A.1.3. Value test
a) Purpose: Verify whether all attributes or association roles whose value type is a code list or enumeration take the values set out therein.
b) Reference: Art.4 (3) of Commission Regulation No 1089/2010.
c) Test Method: When an attribute / association role has an enumeration or code list as its type, compare the values of each instance with those provided in the application schema. To pass this tests any instance of an attribute / association role
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shall not take any other value than defined in the enumeration table when its type is an enumeration.
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shall take only values explicitly specified in the code list when the code list’s extensibility is "none".
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shall take only a value explicitly specified in the code list or shall take a value that is narrower (i.e. more specific) than those explicitly specified in the application schema when the code list’s extensibility is "narrower".
NOTE 1 This test is not applicable to code lists with extensibility "open" or "any".
NOTE 2 When a data provider only uses code lists with narrower (more specific values) this test can be fully performed based on internal information.
NOTE 3 The code lists ProfileElementParameterNameValue, SoilDerivedObjectParameterNameValue, SoilProfileParameterNameValue, and SoilSiteParameterNameValue are defined with the extensibility "open". Before using a new or more detailed term the definitions of all values of a relevant code list should be checked (see Recommendation 4)
A.1.4. Soil parameters theme specific value test
a) Purpose: Verify whether the values of the first level hierarchical code lists ProfileElementParameterNameValue, SoilDerivedObjectParameterNameValue, SoilProfileParameterNameValue and SoilSiteParameterNameValue are not used. They serve only the purpose of structuring; only the lower-level values shall be used.
b) Reference: Annex IV. Section 3.4. (1) of Commission Regulation No 1089/2010
c) Test Method: Test all attributes / association role that use the following code lists:
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ProfileElementParameterNameValue
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SoilDerivedObjectParameterNameValue
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SoilProfileParameterNameValue
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SoilSiteParameterNameValue
for not using the first level hierarchical values "chemicalParameter", "biologicalParameter", "physicalParameter".
To pass this tests any instance of an attribute / association role
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Shall take only a value that is narrower (i.e. more specific).
A.1.5. Soil descriptive parameter theme specific value test
a) Purpose: Verify whether an additional descriptive parameter for the soil derived object is using the OM_Observation spatial object type.
b) Reference: Annex IV. Section 3.4. (2) of Commission Regulation No 1089/2010
c) Test Method: Test all instances of the SoilDerivedObject spatial object type that are using the additional descriptive parameter the OM_Observation / parameter attribute is used.
A.1.6. Soil horazion classification theme specific value test
a) Purpose: Verify whether only one "Other Horizon Notation Type" classification is used for a dataset.
b) Reference: Annex IV. Section 3.4. (3) of Commission Regulation No 1089/2010
c) Test Method: Test all instances of SoilHorizon spatial object type in a dataset that the attribute "otherHorizonNotation" has only one term-value from the "OtherHorizonNotationTypeValue" code list.
A.1.7. Soil type name theme specific value test
a) Purpose: Verify whether only one "Other Soil Name Type" classification is used for a dataset.
b) Reference: Annex IV. Section 3.4. (4) of Commission Regulation No 1089/2010
c) Test Method: Test all instances of SoilProfile spatial object type in a dataset that the attribute "otherSoilName" has only one term-value from the " OtherSoilNameTypeValue" code list.
A.1.8. Attributes/associations completeness test
a) Purpose: Verification whether each instance of spatial object type and data types include all attributes and association roles as defined in the target application schema.
b) Reference: Art. 3, Art.4(1), Art.4(2), and Art.5(2) of Commission Regulation No 1089/2010.
c) Test Method: Examine whether all attributes and association roles defined for a spatial object type or data type are present for each instance in the dataset.
NOTE 1 Further technical information is in the Feature catalogue and UML diagram of the application schema(s) in section 5.2.
NOTE 2 For all properties defined for a spatial object, a value has to be provided if it exists in or applies to the real world entity – either the corresponding value (if available in the data set maintained by the data provider) or the value of void. If the characteristic described by the attribute or association role does not exist in or apply to the real world entity, the attribute or association role does not need to be present in the data set.
A.1.9. Abstract spatial object test
a) Purpose: Verification whether the dataset does NOT contain abstract spatial object / data types defined in the target application schema(s).
b) Reference: Art.5(3) of Commission Regulation No 1089/2010
c) Test Method: Examine that there are NO instances of abstract spatial object / data types in the dataset provided.
NOTE Further technical information is in the Feature catalogue and UML diagram of the application schema(s) in section 5.2.
A.1.10. Constraints test
a) Purpose: Verification whether the instances of spatial object and/or data types provided in the dataset adhere to the constraints specified in the target application schema(s).
b) Reference: Art. 3, Art.4(1), and Art.4(2) of Commission Regulation No 1089/2010.
c) Test Method: Examine all instances of data for the constraints specified for the corresponding spatial object / data type. Each instance shall adhere to all constraints specified in the target application schema(s).
NOTE Further technical information is in the Feature catalogue and UML diagram of the application schema(s) in section 5.2.
A.1.11. Geometry representation test
a) Purpose: Verification whether the value domain of spatial properties is restricted as specified in the Commission Regulation No 1089/2010.
b) Reference: Art.12(1) of Commission Regulation No 1089/2010
c) Test Method: Check whether all spatial properties only use 0, 1 and 2-dimensional geometric objects that exist in the right 2-, 3- or 4-dimensional coordinate space, and where all curve interpolations respect the rules specified in the reference documents.
NOTE Further technical information is in OGC Simple Feature spatial schema v1.2.1 [06-103r4].
A.2. Reference Systems Conformance Class
Conformance class:
http://inspire.ec.europa.eu/conformance-class/ir/so/rs
A.2.1. Datum test
a) Purpose: Verify whether each instance of a spatial object type is given with reference to one of the (geodetic) datums specified in the target specification.
c) Reference: Annex II Section 1.2 of Commission Regulation No 1089/2010
b) Test Method: Check whether each instance of a spatial object type specified in the application schema(s) in section 5 has been expressed using:
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the European Terrestrial Reference System 1989 (ETRS89) within its geographical scope; or
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the International Terrestrial Reference System (ITRS) for areas beyond the ETRS89 geographical scope; or
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other geodetic coordinate reference systems compliant with the ITRS. Compliant with the ITRS means that the system definition is based on the definition of ITRS and there is a well-established and described relationship between both systems, according to the EN ISO 19111.
NOTE Further technical information is given in Section 6 of this document.
A.2.2. Coordinate reference system test
a) Purpose: Verify whether the two- and three-dimensional coordinate reference systems are used as defined in section 6.
b) Reference: Section 6 of Commission Regulation 1089/2010.
c) Test Method: Inspect whether the horizontal and vertical components of coordinates one of the corresponding coordinate reference system has been:
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Three-dimensional Cartesian coordinates based on a datum specified in 1.2 and using the parameters of the Geodetic Reference System 1980 (GRS80) ellipsoid.
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Three-dimensional geodetic coordinates (latitude, longitude and ellipsoidal height) based on a datum specified in 1.2 and using the parameters of the GRS80 ellipsoid.
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Two-dimensional geodetic coordinates (latitude and longitude) based on a datum specified in 1.2 and using the parameters of the GRS80 ellipsoid.
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Plane coordinates using the ETRS89 Lambert Azimuthal Equal Area coordinate reference system.
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Plane coordinates using the ETRS89 Lambert Conformal Conic coordinate reference system.
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Plane coordinates using the ETRS89 Transverse Mercator coordinate reference system.
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For the vertical component on land, the European Vertical Reference System (EVRS) shall be used to express gravity-related heights within its geographical scope. Other vertical reference systems related to the Earth gravity field shall be used to express gravity-related heights in areas that are outside the geographical scope of EVRS.
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For the vertical component in marine areas where there is an appreciable tidal range (tidal waters), the Lowest Astronomical Tide (LAT) shall be used as the reference surface.
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For the vertical component in marine areas without an appreciable tidal range, in open oceans and effectively in waters that are deeper than 200 meters, the Mean Sea Level (MSL) or a well-defined reference level close to the MSL shall be used as the reference surface."
*For the vertical component in the free atmosphere, barometric pressure, converted to height using ISO 2533:1975 International Standard Atmosphere, or other linear or parametric reference systems shall be used. Where other parametric reference systems are used, these shall be described in an accessible reference using EN ISO 19111-2:2012.
NOTE Further technical information is given in Section 6 of this document.
A.2.3. Grid test
a) Purpose: Verify that gridded data related are available using the grid compatible with one of the coordinate reference systems defined in Commission Regulation No 1089/2010
b) Reference: Annex II Section 2.1 and 2.2 of Commission Regulation 1089/2010.
c) Test Method: Check whether the dataset defined as a grid is compatible with one of the coordinate reference.
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Grid_ETRS89_GRS80 based on two-dimensional geodetic coordinates using the parameters of the GRS80 ellipsoid
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Grid_ETRS89_GRS80zn based on two-dimensional geodetic coordinates with zoning,
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Plane coordinates using the Lambert Azimuthal Equal Area projection and the parameters of the GRS80 ellipsoid (ETRS89-LAEA)
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Plane coordinates using the Lambert Conformal Conic projection and the parameters of the GRS80 ellipsoid (ETRS89-LCC)
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Plane coordinates using the Transverse Mercator projection and the parameters of the GRS80 ellipsoid (ETRS89-TMzn)
NOTE Further technical information is given in Section 6 of this document.
NOTE 2 This test applies only to Soil Theme and Soil Theme Descriptive Coverages.
A.2.4. View service coordinate reference system test
a) Purpose: Verify whether the spatial data set is available in the two dimensional geodetic coordinate system for their display with the INSPIRE View Service.
b) Reference: Annex II Section 1.4 of Commission Regulation 1089/2010
c) Test Method: Check that each instance of a spatial object types specified in the application schema(s) in section 5 is available in the two-dimensional geodetic coordinate system
NOTE Further technical information is given in Section 6 of this document.
A.2.5. Temporal reference system test
a) Purpose: Verify whether date and time values are given as specified in Commission Regulation No 1089/2010.
b) Reference: Art.11(1) of Commission Regulation 1089/2010
c) Test Method: Check whether:
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the Gregorian calendar is used as a reference system for date values;
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the Universal Time Coordinated (UTC) or the local time including the time zone as an offset from UTC are used as a reference system for time values.
NOTE Further technical information is given in Section 6 of this document.
A.2.6. Units of measurements test
a) Purpose: Verify whether all measurements are expressed as specified in Commission Regulation No 1089/2010.
b) Reference: Art.12(2) of Commission Regulation 1089/2010
c) Test Method: Check whether all measurements are expressed in SI units or non-SI units accepted for use with the International System of Units.
NOTE 1 Further technical information is given in ISO 80000-1:2009.
NOTE 2 Degrees, minutes and seconds are non-SI units accepted for use with the International System of Units for expressing measurements of angles.
A.3. Data Consistency Conformance Class
Conformance class:
http://inspire.ec.europa.eu/conformance-class/ir/so/dc
A.3.1. Unique identifier persistency test
a) Purpose: Verify whether the namespace and localId attributes of the external object identifier remain the same for different versions of a spatial object.
b) Reference: Art. 9 of Commission Regulation 1089/2010.
c) Test Method: Compare the namespace and localId attributes of the external object identifiers in the previous version(s) of the dataset with the namespace and localId attributes of the external object identifiers of current version for the same instances of spatial object / data types; To pass the test, neither the namespace, nor the localId shall be changed during the life-cycle of a spatial object.
NOTE 1 This test can be performed exclusively on the basis of the information available in the database of the data providers.
NOTE 2 When using URI this test includes the verification whether no part of the construct has been changed during the life cycle of the instances of spatial object / data types.
NOTE 3 Further technical information is given in section 14.2 of the INSPIRE Generic Conceptual Model.
A.3.2. Version consistency test
a) Purpose: Verify whether different versions of the same spatial object / data type instance belong to the same type.
b) Reference: Art. 9 of Commission Regulation 1089/2010.
c) Test Method: Compare the types of different versions for each instance of spatial object / data type
NOTE 1 This test can be performed exclusively on the basis of the information available in the database of the data providers.
A.3.3. Life cycle time sequence test
a) Purpose: Verification whether the value of the attribute beginLifespanVersion refers to an earlier moment of time than the value of the attribute endLifespanVersion for every spatial object / object type where this property is specified.
b) Reference: Art.10(3) of Commission Regulation 1089/2010.
c) Test Method: Compare the value of the attribute beginLifespanVersion with attribute endLifespanVersion. The test is passed when the beginLifespanVersion value is before endLifespanVersion value for each instance of all spatial object/data types for which this attribute has been defined.
NOTE 1 This test can be performed exclusively on the basis of the information available in the database of the data providers.
A.3.4. Validity time sequence test
a) Purpose: Verification whether the value of the attribute validFrom refers to an earlier moment of time than the value of the attribute validTo for every spatial object / object type where this property is specified.
b) Reference: Art.12(3) of Commission Regulation 1089/2010.
c) Test Method: Compare the value of the attribute validFrom with attribute validTo. The test is passed when the validFrom value is before validTo value for each instance of all spatial object/data types for which this attribute has been defined.
NOTE 1 This test can be performed exclusively on the basis of the information available in the database of the data providers.
A.3.5. Update frequency test
a) Purpose: Verify whether all the updates in the source dataset(s) have been transmitted to the dataset(s) which can be retrieved for the SO data theme using INSPIRE download services.
b) Reference: Art.8 (2) of Commission Regulation 1089/2010.
c) Test Method: Compare the values of beginning of life cycle information in the source and the target datasets for each instance of corresponding spatial object / object types. The test is passed when the difference between the corresponding values is less than 6 months.
NOTE 1 This test can be performed exclusively on the basis of the information available in the database of the data providers.
A.4. Metadata IR Conformance Class
Conformance class:
http://inspire.ec.europa.eu/conformance-class/ir/so/md
A.4.1. Metadata for interoperability test
a) Purpose: Verify whether the metadata for interoperability of spatial data sets and services described in 1089/2010 Commission Regulation have been created and published for each dataset related to the SO data theme.
b) Reference: Art.13 of Commission Regulation 1089/2010
c) Test Method: Inspect whether metadata describing the coordinate reference systems, encoding, and spatial representation type have been created and published. If the spatial data set contains temporal information that does not refer to the default temporal reference system, inspect whether metadata describing the temporal reference system have been created and published. If an encoding is used that is not based on UTF-8, inspect whether metadata describing the character encoding have been created.
NOTE Further technical information is given in section 8 of this document.
A.5. Information Accessibility Conformance Class
Conformance class:
http://inspire.ec.europa.eu/conformance-class/ir/so/ia
A.5.1. Code list publication test
a) Purpose: Verify whether all additional values used in the data sets for attributes, for which narrower values or any other value than specified in Commission Regulation 1089/2010 are allowed, are published in a register.
b) Reference: Art.6(3) and Annex IV Section 3.3
c) Test Method: For each additional value used in the data sets for code list-valued attributes, check whether it is published in a register.
NOTE Further technical information is given in section 5 of this document.
A.5.2. CRS publication test
a) Purpose: Verify whether the identifiers and the parameters of coordinate reference system are published in common registers.
b) Reference: Annex II Section 1.5
c) Test Method: Check whether the identifier and the parameter of the CRS used for the dataset are included in a register.
NOTE Further technical information is given in section 6 of this document.
A.5.3. CRS identification test
a) Purpose: Verify whether identifiers for other coordinate reference systems than specified in Commission Regulation 1089/2010 have been created and their parameters have been described according to EN ISO 19111 and ISO 19127.
b) Reference: Annex II Section 1.3.4
c) Test Method: Check whether the register with the identifiers of the coordinate reference systems is accessible.
NOTE Further technical information is given in section 6 of this document.
A.5.4. Grid identification test
a) Purpose: Verify whether identifiers for other geographic grid systems than specified in Commission Regulation 1089/2010 have been created and their definitions have been either described with the data or referenced.
b) Reference: Annex II Section 2.1 and 2.2
c) Test Method: Check whether the identifiers for grids have been created. Inspect the dataset and/or the metadata for inclusion of grid definition.
NOTE Further technical information is given in section 6 of this document.
A.6. Data Delivery Conformance Class
Conformance class:
http://inspire.ec.europa.eu/conformance-class/ir/so/de
A.6.1. Encoding compliance test
a) Purpose: Verify whether the encoding used to deliver the dataset comply with EN ISO 19118.
b) Reference: Art.7 (1) of Commission Regulation 1089/2010.
c) Test Method: Follow the steps of the Abstract Test Suit provided in EN ISO 19118.
NOTE 1 Datasets using the default encoding specified in Section 9 fulfil this requirement.
NOTE 2 Further technical information is given in Section 9 of this document.
A.7. Portrayal Conformance Class
Conformance class:
http://inspire.ec.europa.eu/conformance-class/ir/so/po
A.7.1. Layer designation test
a) Purpose: verify whether each spatial object type has been assigned to the layer designated according to Commission Regulation 1089/2010.
b) Reference: Art. 14(1), Art14(2) and Annex IV Section 3.5.
c) Test Method: Check whether data is made available for the view network service using the specified layers respectively:
Layer Name |
SO.SoilBody |
SO.ObservedSoilProfile |
SO.SoilSite |
SO. <CodeListValue>[19] |
SO.<CodeListValue>Coverage[20] |
NOTE Further technical information is given in section 11 of this document.
Part 2 (informative)
Conformity with the technical guideline (TG) Requirements
A.8. Technical Guideline Conformance Class
Conformance class:
http://inspire.ec.europa.eu/conformance-class/tg/so/3.0
A.8.1. Multiplicity test
a) Purpose: Verify whether each instance of an attribute or association role specified in the application schema(s) does not include fewer or more occurrences than specified in section 5.
c) Reference: Feature catalogue and UML diagram of the application schema(s) in section 5 of this guideline.
b) Test Method: Examine that the number of occurrences of each attribute and/or association role for each instance of a spatial object type or data type provided in the dataset corresponds to the number of occurrences of the attribute / association role that is specified in the application schema(s) in section 5.
A.8.2. CRS http URI test
a) Purpose: Verify whether the coordinate reference system used to deliver data for INSPIRE network services has been identified by URIs according to the EPSG register.
c) Reference: Section 6 of this technical guideline
b) Test Method: Compare the URI of the dataset with the URIs in the table.
NOTE 1 Passing this test implies the fulfilment of test A6.2
NOTE 2 Further reference please see http://www.epsg.org/geodetic.html
A.8.3. Metadata encoding schema validation test
a) Purpose: Verify whether the metadata follows an XML schema specified in ISO/TS 19139.
c) Reference: Section 8 of this technical guideline, ISO/TS 19139
b) Test Method: Inspect whether provided XML schema is conformant to the encoding specified in ISO 19139 for each metadata instance.
NOTE 1 Section 2.1.2 of the Metadata Technical Guidelines discusses the different ISO 19139 XML schemas that are currently available.
A.8.4. Metadata occurrence test
a) Purpose: Verify whether the occurrence of each metadata element corresponds to those specified in section 8.
c) Reference: Section 8 of this technical guideline
b) Test Method: Examine the number of occurrences for each metadata element. The number of occurrences shall be compared with its occurrence specified in Section 8:
NOTE 1 Section 2.1.2 of the Metadata Technical Guidelines discusses the different ISO 19139 XML schema
A.8.5. Metadata consistency test
a) Purpose: Verify whether the metadata elements follow the path specified in ISO/TS 19139.
c) Reference: Section 8 of this technical guideline, ISO/TS 19139
b) Test Method: Compare the XML schema of each metadata element with the path provide in ISO/TS 19137.
NOTE 1 This test does not apply to the metadata elements that are not included in ISO/TS 19139.
A.8.6. Encoding schema validation test
a) Purpose: Verify whether the provided dataset follows the rules of default encoding specified in section 9 of this document
c) Reference: section 9 of this technical guideline
b) Test Method: Inspect whether provided encoding(s) is conformant to the encoding(s) for the relevant application schema(s) as defined in section 9:
NOTE 1 Applying this test to the default encoding schema described in section 9 facilitates testing conformity with the application schema specified in section 5. In such cases running this test with positive result may replace tests from A1.1 to A1.4 provided in this abstract test suite.
NOTE 2 Using Schematron or other schema validation tool may significantly improve the validation process, because some some complex constraints of the schema cannot be validated using the simple XSD validation process. On the contrary to XSDs Schematron rules are not delivered together with the INSPIRE data specifications. Automating the process of validation (e.g. creation of Schematron rules) is therefore a task and an opportunity for data providers.
A.8.7. Coverage multipart representation test
a) Purpose: Verify whether coverage data encoded as multipart messages comply with the multipart representation conformance class defined in GML Application Schema for Coverages [OGC 09-146r2].
b) Reference: OGC standard GML Application Schema for Coverages [OGC 09-146r2].
c) Test Method: Inspect whether coverage data encoded as multipart messages comply with the multipart representation conformance class defined in GML Application Schema for Coverages [OGC 09-146r2].
NOTE further information is provided in section 9.4 of this technical guideline.
NOTE 2 This test applies only to Soil Theme and Soil Theme Descriptive Coverages.
A.8.8. Coverage domain consistency test
a) Purpose: Verify whether the encoded coverage domain is consistent with the information provided in the GML application schema.
b) Reference: Section 9.4.1.2 of this technical guideline.
c) Test Method: For multipart coverage messages compare the encoded coverage domain with the description of the coverage component in the GML application schema
NOTE 1 This test applies only to those multipart messages, where the coverage range is encoded together with the coverage domain (some binary formats).
NOTE 2 .This test does not apply to multipart messages where the coverage range is embedded without describing the data structure (e.g. text based formats).
A.8.9. Style test
a) Purpose: Verify whether the styles defined in section 11.2 have been made available for each specified layer.
b) Reference: section 11.2.
c) Test Method: Check whether the styles defined in section 11.2 have been made available for each specified layer.
Annex B: Use Cases (informative)
This Annex describes the Use Cases that were used as a basis for the development of this data specification.
During the participative process of developing the INSPIRE Soil data specification many stakeholders contributed with their Use Cases and requirements. The existing soil related legislation (EU, National) was also studied to cover in the final data model potential legal requirements. At the end of the development process the requirements from the final selection of Use cases were checked against the final soil data model.
In total 15 Use Cases were defined which covered the following fields:
-
Agri-Environmental Indicators: 3
-
Thematic maps:
-
National legislation 1
-
European use 1
-
National/regional/local use 5
-
-
Contaminated sites
-
National legislation 4
-
-
Soil Monitoring
-
National/regional/local use 1
-
The following Use cases were described:
Agri-Environmental Indicators:
-
Use Case Environmental Indicator Soil Erosion
-
Use Case Environmental Indicator Soil Quality
-
Progress in management of Contaminated sites (CSI015) indicator.
Thematic maps
-
Land irrigation suitability in Navarra (Spain)
-
Development of methodologies for soil salinity surveillance in the middle Ebro basin (Spain)
-
MARS (Monitoring Agriculture with Remote Sensing) project
-
Restrictions for agricultural use based on mineral, the N-, and P saturation in the soil and (shallow) ground water.
-
Calculation threshold trace elements
-
Use of Soil Scape Viewer
-
Establishment Less Favoured Areas (France)
Contaminated sites
-
Contaminated Land Register Austria
-
Use Case drinking water and soil contamination
-
Use Case Ecology and contamination
-
Use Case Property and contamination
Soil Monitoring
-
Use Case state of soil in Europe
The following table gives the relation of the Use Cases and the relevant legislation at the appropriate level:
Use Cases |
Agri-Environmental Indicators: |
- Use Case Environmental Indicator Soil Erosion |
- Use Case Environmental Indicator Soil Quality |
- Use Case Environmental Indicator Contaminated Sites |
Thematic maps |
- Land irrigation suitability in Navarra (Spain) |
- Development of methodologies for soil salinity surveillance in the middle Ebro basin (Spain) |
- yield forecasting within the MARS project |
- Restrictions for N and P in agriculture |
- Calculation threshold trace elements |
- Use of Soil Scape Viewer |
- Establishment Less Favoured Areas (France) |
Contaminated sites |
- Contaminated Land Register Austria |
- Use Case drinking water and soil contamination |
- Use Case Ecology and contamination |
- Use Case Property and contamination |
Soil Monitoring |
- Use Case state of soil in Europe |
Directives |
|||||||||||||||||||
CAP. Council regulation (EC) No 1782/2003 of 29 September 2003 establishing common rules for direct support schemes under the common agricultural policy. |
● |
● |
|||||||||||||||||
Council Directive 91/676/EEC of 12 December 1991 concerning the protection of waters against pollution caused by nitrates form agricultural sources. |
● |
||||||||||||||||||
Directive 200/60/EC of the European Parliament and of the council of 23 October 2000 establishing a framework for Community action in the field of water policy. |
● |
● |
● |
||||||||||||||||
Directive 2009/28/EC of the European Parliament and of the Council. Energy from renewable resources. |
● |
||||||||||||||||||
Directive 86/278/EC of the European Parliament and of the Council. Sludge Directive. |
● |
||||||||||||||||||
Directive 1999/31/EC of the European Parliament and of the Council of 26 April 1999 on the landfill and waste. |
● |
● |
● |
||||||||||||||||
Still under discussion: Less Favoured Areas (LFA) Intermediate areas. This regulation is aimed at better targeting of natural handicap payments COM (2009) 161. (Regulation not adopted yet). |
● |
||||||||||||||||||
Proposed Soil Framework Directive (State of the proposal is still pending) |
● |
● |
● |
● |
● |
B.1. Agri-Environmental Indicator – Soil Erosion
The European Council requested the Commission to report on the integration of environmental dimensions into Community sectoral policies. As a contribution to meeting this requirement for the agricultural sector, a list of agri-environmental indicators was initially developed with two Commission Communications in 2000 and 2001.
To improve, develop and compile at the appropriate geographical level the indicators identified then, the IRENA (Indicator Reporting on the integration of Environmental concerns into Agricultural policy) project was launched. It was a collaborative effort between the Directorate-General for Agriculture and Rural Development (DG AGRI), the Directorate-General for Environment (DG ENV), Eurostat, the Joint Research Centre (JRC) and the European Environment Agency (EEA) which was responsible for the co-ordination. The results of the IRENA operation were as a set of 42 indicators and sub-indicators and their 40 fact sheets for EU-15.
Following up the IRENA project, the Commission adopted the final list of 28 indicators in a Communication of 2006 ("Development of agri-environmental indicators for monitoring the integration of environmental concerns into the common agricultural policy"). The approach outlined in this Communication was endorsed by the Council.
Important to note is that the Communication says:" … In this respect, the full involvement and commitment of the Member States, which are ultimately responsible for data collection, is necessary."
The same five partner institutions have agreed to develop and maintain this system of agri-environmental indicators and laid down the basis for cooperation in a Memorandum of Understanding.(see http://epp.eurostat.ec.europa.eu/portal/page/portal/agri_environmental_indicators/introduction/history_partners)
The indicators are currently under development by the five partners which make proposals that are then commented and approved by Member States in consultation meetings. In a sub-sequent operational phase, Eurostat will be responsible for the collection of the data from Member States.
How this will happen and at which level of detail (in the NUTS) still has to be decided.
One of the indicators is "soil erosion", defined as annual soil erosion risk by water.
The model proposed by JRC for the computation of this indicator is RUSLE. This is not consolidated yet.
RUSLE stands for Revised Universal Soil Loss Equation and, with a widespread acceptance, has become a major soil conservation planning tool in many countries in the world.
RUSLE and USLE can be expressed as follows A = R * K * L * S * C * P
Where
A = estimated average soil loss in tons per acre per year
R = rainfall-runoff erosivity factor
K = soil erodibility factor
L = slope length factor
S = slope steepness factor
C = cover-management factor
P = support practice factor
Detailed structured description of the Use Case
Use Case Description |
|
Name |
Agri-Environmental Indicator Soil Erosion |
Priority |
High |
Description |
Member States will need to provide soil erosion data to Eurostat, according to the RUSLE model |
Legal foundation(s) |
|
Pre-condition |
Availability of data that is required for computation of the indicators |
Flow of Events - Basic Path |
|
Step 1 |
Member State collects the data that are needed to compute the soil erosion indicator |
Step 2 |
Member State computes indicator |
Step 3 |
Member State sends indicator to Eurostat |
Step 4 |
Eurostat verifies and validates the data; Eurostat creates European indicator map |
Post-condition |
Not applicable |
Actors |
|
End-users |
|
Information provider(s) |
Member State local and national organizations |
Information processors(s)/Brokers |
Member State authorities responsible for the computation of the index |
Information Source Output |
|
Description |
|
Thematic scope |
Soil |
Base datasets |
Base datasets are maps at NUTS-x level or rasters, that show the indicator |
Data provider |
Member States to Eurostat; |
Scale, resolution |
NUTS-x level; in order to come to NUTS level aggregation, one can envisage various scales (e.g. 1:250,000) and resolutions (e.g. 1 km) |
Documentation |
|
External reference |
See web site |
Information Source Input |
|
Description |
|
Thematic scope |
Soil, land cover/use, climate, geomorphology |
Base dataset(s) |
To compute the indicators, the following information is needed:
As vector maps or as rasters (100m) |
Data provider(s) |
|
Scale, resolution |
Preferably at a resolution of 100m |
Documentation |
March 2011: the proposed model will be finished and commented by Member States; then, the full documentation on the model will be ready. |
External reference |
none |
Mapping of this Use Case with the INSPIRE soil model of DS version 3.0
INPUT DATA
This quite general Use Case relies on the following soil input data:
-
Soil texture (as %clay, %silt, %sand)
-
soil structure (expressed as a combination of class and type)
-
soil permeability (e.g. in Darcy)
-
soil organic matter (e.g. in %)
Since this use case is about 'soil erosion' modelled with RUSLE, it is assumed that these soil data need to be known for a limited depth of the soil (topsoil).
The required data input format could be point/vector maps or raster maps.
In case of point or vector maps, the input data should be provided through datasets that are collections of the objects SoilDerivedObject; the latter may or may not take into consideration data coming from possibly associated objects ObservedSoilProfile and/or SoilBody and/or other SoilDerivedObject-s.
Each input dataset is a composition of SoilDerivedObjects and is documented in its associated metadata, that includes a title, abstract and would point to the documentation on how the computation for the input data has been accomplished, eventually relying on data coming from observed soil profiles and/or soil bodies.
Each SoilDerivedObject carries a geometry (could be a point or a polygon) and carries (through the association soilDerivedObjectObservation with an OM_Observation object) a parameter with a given value. The parameter is selected from the codelist SoilDerivedObjectParameterNameValue; note that this code list can be extended by the data provider when needed. For the exact mechanism, see Chapter 5. Note that this mechanism allows also to specifiy the 'unit of measure' and that the type of values include: single numerical values (Number), ranges of numerical values (RangeType, as defined in Section 5.3.2.2.6.), and qualitative values (CharacterString).
For the considered soil input data: name, unit of measure and value would be:
-
soil_texture_clay, percentage, numeric value or parameterRange
-
soil_texture_silt, percentage, numeric value or parameterRange
-
soil_texture_sand, percentage, numeric value or parameterRange
-
soil_strucure_class, no unit of measure, qualitative value (character string)
-
soil_structure_type, no unit of measure, qualitative value (character string)
-
soil_permeability, Darcy, numeric value or parameterRange
-
soil_organic_matter, percentage, numeric value or parameterRange
Note that in order to give the name of the parameter as a value from the SoilDerivedObjectParameterNameValue codelist, the codelist should be extended by the user.
Note that, since the parameters soilDerivedObject are linked (through the O&M framework) to OM_Observation, which in turn is associated to INSPIRE_OM_Process, it is possible to provide additional information on the process that led to observation values. An example of such supplementary information could be the soil depth range for which the value of the soilDerivedObjectParameter is valid.
In case of raster input maps:.
The input data take the form of SoilThemeCoverage's, which allows the storage of raster data. The attribute soilThemeParameter is of the datatype SoilThemeParameterType that consists of a soilThemeParameterName (to be taken from the codelist SoilDerivedObjectParameterNameValue and a unit of measure). The values of the gridcells are covered by a rangeSet constraint that says that values shall be of one of the types Number; RangeType (as defined in Section 5.3.2.2.6.) or CharacterString.
Unlike the SoilDerivedObject's (where an input dataset could be specified by indicating its contributing data), the input coverages are in essence standalone, although in theory they can be associated to other coverages through the association with zero or more SoilThemeDescriptiveCoverage’s that have the same spatial and domain extent as the associated SoilThemeCoverage..
As for the collections of SoilDerivedObject the raster maps are documented in its associated metadata.
OUTPUT DATA
This Use Case produces as output data "soil erosion" which can be expressed in tonnes per ha and per year. The output format could be point, vector maps or raster maps.
In case of point or vector maps, the output data should be provided through a collection of objects SoilDerivedObject; the latter may or may not take into consideration data coming from possibly associated objects ObservedSoilProfile and/or SoilBody, although in this Use Case, the SoilDerivedObject should be based on data that are in other SoilDerivedObject-s, like the input data defined above
As for the input datasets, the metadata associated to the collection of SoilDerivedObjects (dataset) is documented in its associated metadata that includes a title, abstract and would point to the documentation on how the computation for the output data has been accomplished.
Each SoilDerivedObject in the collection carries a geometry (could be a point or a polygon) and carries (through the association soilDerivedObjectObservation with an OM_Observation object) a parameter with a given value. The parameter is selected from the codelist SoilDerivedObjectParameterNameValue, thus this codelist should be extended with a 'soil_erosion' entry;. Unit of measure should be indicated as "t/ha/year" and the type of value could be a numeric value or parameterRange). Alternatively, if a qualitative indication is desired, the unit of measure should be empty and the value should be a character string.
Similar remarks as for the input data concerning extension of the SoilDerivedObjectParameterNameValue codelist and the provision of supplementary information through an associated INSPIRE_OM_Process object hold.
In case of an output raster map:
The output data take the form of a SoilThemeCoverage, which allows the storage of raster data. (the same discussion as above for input data holds).
B.2. Agri-Environmental Indicator – Soil Quality
The European Council requested the Commission to report on the integration of environmental dimensions into Community sectoral policies. As a contribution to meeting this requirement for the agricultural sector, a list of agri-environmental indicators was initially developed with two Commission Communications in 2000 and 2001.
To improve, develop and compile at the appropriate geographical level the indicators identified then, the IRENA (Indicator Reporting on the integration of Environmental concerns into Agricultural policy) project was launched. It was a collaborative effort between the Directorate-General for Agriculture and Rural Development (DG AGRI), the Directorate-General for Environment (DG ENV), Eurostat, the Joint Research Centre (JRC) and the European Environment Agency (EEA) which was responsible for the co-ordination. The results of the IRENA operation were as a set of 42 indicators and sub-indicators and their 40 fact sheets for EU-15.
Following up the IRENA project, the Commission adopted the final list of 28 indicators in a Communication of 2006 ("Development of agri-environmental indicators for monitoring the integration of environmental concerns into the common agricultural policy"). The approach outlined in this Communication was endorsed by the Council.
Important to note is that the Communication says:" … In this respect, the full involvement and commitment of the Member States, which are ultimately responsible for data collection, is necessary."
The same five partner institutions have agreed to develop and maintain this system of agri-environmental indicators and laid down the basis for cooperation in a Memorandum of Understanding.
The indicators are currently under development by the five partners which make proposals that are then commented and approved by Member States in consultation meetings. In a sub-sequent operational phase, Eurostat will be responsible for the collection of the data from Member States.
How this will happen and at which level of detail (in the NUTS) still has to be decided.
The proposed indicator "soil quality" provides an account of the ability of soil to provide agri-environmental services through its capacities to perform its functions and respond to external influences.
In the agri-environmental context, soil quality describes:
-
the capacity of soil to biomass production
-
the input-need to attain optimal productivity
-
the soil response to climatic variability
-
carbon storage; filtering; buffering capacity
The main indicator is 'agri-environmental soil quality index', derived from four supporting indicators:
-
productivity index
-
fertilizer response rate
-
production stability index
-
soil environmental quality index
Use Case Description |
|
Name |
Agri-Environmental Indicator Soil Quality |
Priority |
High |
Description |
Member States will need to provide soil quality data to Eurostat, according to the model which is currently under development |
Legal foundation(s) |
|
Pre-condition |
Availability of data that is required for computation of the indicators |
Flow of Events - Basic Path |
|
Step 1 |
Member State collects the data that are needed to compute the soil quality indicator |
Step 2 |
Member State computes sub-indicator and main indicator |
Step 3 |
Member State sends sub-indicator and indicator to Eurostat |
Step 4 |
Eurostat verifies and validates the data; Eurostat creates European indicator map |
Post-condition |
Not applicable |
Actors |
|
End-users |
|
Information provider(s) |
Member State local and national organizations |
Information processors(s)/Brokers |
Member State authorities responsible for the computation of the index |
Information Source Output |
|
Description |
|
Thematic scope |
Soil |
Base datasets |
Base datasets are maps at NUTS-x level or rasters that show |
Data provider |
Member States to Eurostat; |
Scale, resolution |
NUTS-x level; in order to come to NUTS level aggregation, one can envisage various scales (e.g. 1:250,000) and resolutions (e.g. 1 km) |
Documentation |
|
External reference |
See web site |
Information Source Input |
|
Description |
|
Thematic scope |
soil, climate data, land cover/ land use |
Base dataset(s) |
To compute the indicators, the following information is needed:
(see Table 2: PTR-based information need of AGRI-ENVIRONMENTAL SOIL QUALITY calculations p. 151 for more details) As vector maps or as rasters. |
Data provider(s) |
|
Scale, resolution |
Depending on the final model and the selected NUTS-x level or selected raster resolution. (e.g. 1km) |
Documentation |
March 2011: the proposed model will be finished and commented by Member States; then, the full documentation on the model will be ready. |
External reference |
none |
Mapping of this Use Case with the INSPIRE soil model of DS version 3.0
INPUT DATA
This quite general Use Case relies on the following soil input data:
-
soil type (WRB) (as a character string expressing the WRB classification)
-
available water capacity (e.g. as percentage or as a depth (cm))
-
rooting depth (e.g. as cm)
-
depth to impermeable layer (e.g. as cm)
-
texture (%clay, %sand, %silt)
-
water regime (class: e.g. "Wet within 40 cm depth for over 11 months")
-
soil OM (e.g. in g/kg or percentage)
-
soil OC (e.g. in %)
Since this use case is about 'soil quality', it is assumed that these soil data need to be known for a limited depth of the soil (topsoil).
The required data input format could be point/vector maps or raster maps.
In case of point or vector maps, the input data should be provided through datasets that are collections of the objects SoilDerivedObject; the latter may or may not take into consideration data coming from possibly associated objects ObservedSoilProfile and/or SoilBody and/or other SoilDerivedObject-s.
Each input dataset is a composition of SoilDerivedObjects and is documented in its associated metadata, that includes a title, abstract and would point to the documentation on how the computation for the input data has been accomplished, eventually relying on data coming from observed soil profiles and/or soil bodies.
Each SoilDerivedObject carries a geometry (could be a point or a polygon) and carries (through the association soilDerivedObjectObservation with an OM_Observation object) a parameter with a given value. The parameter is selected from the codelist SoilDerivedObjectParameterNameValue; note that this code list can be extended by the data provider when needed. For the exact mechanism, see Chapter 5. Note that this mechanism allows also to specifiy the 'unit of measure' and that the type of values include: single numerical values (Number), ranges of numerical values (RangeType, as defined in Section 5.3.2.2.6.), and qualitative values (CharacterString).
For the considered soil input data: name, unit of measure and value would be:
-
soil_type, no unit of measure, qualitative value (character string)
-
available_water_capacity, percentage, numeric value or parameterRange
-
rooting_depth, percentage, numeric value or parameterRange
-
depth_to_impermeable layer, percentage, numeric value or parameterRange
-
soil_texture_clay, percentage, numeric value or parameterRange
-
soil_texture_silt, percentage, numeric value or parameterRange
-
soil_texture_sand, percentage, numeric value or parameterRange
-
water_regime, no unit of measure, qualitative value (character string)
-
soil_organic_matter, percentage, numeric value or parameterRange
-
soil_organic_carbon, percentage, numeric value or parameterRange
Note that in order to give the name of the parameter as a value from the SoilDerivedObjectParameterNameValue codelist, the codelist should be extended by the user.
Note that, since the parameters soilDerivedObject are linked (through the O&M framework) to OM_Observation, which in turn is associated to INSPIRE_OM_Process, it is possible to provide additional information on the process that led to observation values. An example of such supplementary information could be the soil depth range for which the value of the soilDerivedObjectParameter is valid.
In case of raster input maps:
The input data take the form of SoilThemeCoverage's, which allows the storage of raster data. The attribute soilThemeParameter is of the datatype SoilThemeParameterType that consists of a soilThemeParameterName (to be taken from the codelist SoilDerivedObjectParameterNameValue and a unit of measure). The values of the gridcells are covered by a rangeSet constraint that says that values shall be of one of the types Number; RangeType (as defined in Section 5.3.2.2.6.) or CharacterString.
Unlike the SoilDerivedObject's (where an input dataset could be specified by indicating its contributing data), the input coverages are in essence standalone, although in theory they can be associated to other coverages through the association with zero or more SoilThemeDescriptiveCoverage’s that have the same spatial and domain extent as the associated SoilThemeCoverage..
As for the collections of SoilDerivedObject, the raster maps are documented in its associated metadata.
OUTPUT DATA
This Use Case produces as output data "soil quality" which can be expressed as an index (e.g. between 0 to 10)
In case of point or vector maps, the output data should be provided through a collection of objects SoilDerivedObject; the latter may or may not take into consideration data coming from possibly associated objects ObservedSoilProfile and/or SoilBody, although in this Use Case, the SoilDerivedObject should be based on data that are in other SoilDerivedObject-s, like the input data defined above
As for the input datasets, the metadata associated to the collection of SoilDerivedObjects (dataset) is documented in its associated metadata that includes a title, abstract and would point to the documentation on how the computation for the output data has been accomplished.
Each SoilDerivedObject in the collection carries a geometry (could be a point or a polygon) and carries (through the association soilDerivedObjectObservation with an OM_Observation object) a parameter with a given value. The parameter is selected from the codelist SoilDerivedObjectParameterNameValue, thus this codelist should be extended with a 'soil_quality' entry;. Unit of measure should be empty (because unit-less) and the type of value could be a numeric value or parameterRange, or a characterstring if indicating qualitative values.
Similar remarks as for the input data concerning extension of the SoilDerivedObjectParameterNameValue codelist and the provision of supplementary information through an associated INSPIRE_OM_Process object hold.
In case of an output raster map:
The output data take the form of a SoilThemeCoverage, which allows the storage of raster data. (the same discussion as above for input data holds).
Table 2: PTR-based information need of AGRI-ENVIRONMENTAL SOIL QUALITY calculations
NOTE these parts of this scheme are still under testing and development – see bottom
No. |
Input data |
field (code) in SGDBE |
Input attributes |
Directly required for evaluation* |
||||||
1 |
2 |
3 |
4a |
4b |
4c |
4d |
||||
1 |
Topsoil textural class |
TEXT_SRF_DOM |
- |
+ |
+ |
|||||
2 |
Subsoil textural class |
TEXT_SUB_DOM |
- |
+ |
||||||
3 |
Dominant land use |
USE_DOM |
- |
+ |
||||||
4 |
Dominant parent material |
PAR_MAT_DOM |
- |
|||||||
5 |
Soil code (subunit level) FAO (1985) |
FAO85 |
- |
+ |
+ |
+ |
||||
6 |
Soil code (subunit level) WRB (1998) |
WRB98 |
- |
+ |
||||||
7 |
Dominant limitation to agricultural use |
AGLIM1 |
- |
|||||||
8 |
Depth class of impermeable layer |
IL |
- |
+ |
||||||
9 |
Maximum rooting depth of soil profile |
ROO |
- |
|||||||
10 |
Dominant annual average soil water regime |
WR |
||||||||
11 |
Accumulated mean precipitation |
PREC_AV |
? |
|||||||
12 |
pH |
PH |
? |
+ |
||||||
13 |
Accumulated mean temperature |
ATC |
From MARS dataset |
|||||||
14 |
Regrouped climatic areas |
CLIM_AR |
From BGR (Bodenregionenkarte der EU) |
+ |
||||||
15 |
Elevation above see level |
ELE |
? |
+ |
||||||
16 |
Slope class |
- |
SRTM based DEM |
+ |
||||||
17 |
Slope aspect |
- |
SRTM based DEM |
+ |
||||||
18 |
Phase |
PHASE |
AGLIM1 = |
|||||||
19 |
Depth to rock |
DR |
FAO85 |
|||||||
20 |
Topsoil structure |
STR_TOP |
USE_DOM |
|||||||
21 |
Topsoil packing density |
PD_TOP |
STR_TOP |
|||||||
22 |
Soil Profile differentiation |
DIFF |
FAO85 |
|||||||
23 |
Profile mineralogy |
MIN |
FAO85 |
|||||||
24 |
Topsoil mineralogy |
MIN_TOP |
FAO85 |
+ |
||||||
25 |
Subsoil mineralogy |
MIN_SUB |
FAO85 |
+ |
||||||
26 |
Topsoil organic carbon content (0-25cm) |
OC_TOP |
FAO85 |
+ |
+ |
|||||
27 |
Topsoil cation exchange capacity |
CEC_TOP |
DIFF |
+ |
+ |
|||||
28 |
Subsoil cation exchange capacity |
CEC_SUB |
MIN_SUB |
+ |
||||||
29 |
Soil Hydrologic Group |
HYDGRP |
IL |
+ |
||||||
30 |
Topsoil available water capacity |
AWC_TOP |
TEXT_SRF_DOM |
+ |
||||||
31 |
Topsoil easily available water capacity |
EAWC_TOP |
TEXT_SRF_DOM |
|||||||
32 |
Subsoil available water capacity |
AWC_SUB |
TEXT_SRF_DOM |
|||||||
33 |
Productivity of soil |
PROD_PSQ |
* The indicated property is used for the calculation of the following functions:
-
Productivity index (under testing and validation)
-
Fertilizer response rate (under testing and validation)
-
Production stability index (to be developed)
-
Soil environmental quality index (under development)
-
substances filtering
-
substances transforming
-
biodiversity
-
carbon pool
-
B.3. Progress in management of Contaminated sites (CSI 015) indicator
Narrative explanation of the use case
For many years, the EEA has been active in the development of indicators in relation to 'contaminated sites'. The term 'contaminated site' refers to a well-delimited area where the presence of soil contamination has been confirmed. After many meetings and discussions with representatives from Member States, one possible indicator was defined and agreed upon: "Progress in management of contaminated sites (CSI 015)". Although it is related to soil, the indicator does not require soil data as such.
More details can be found on:
http://www.eea.europa.eu/data-and-maps/indicators/progress-in-management-of-contaminated-sites
In 2008, the responsibility for data collection related to this indicator from Member States, passed from EEA to JRC.
Detailed structured description of the Use Case
For the TWG Soil, the EEA Indicator CSI015 "Progress in the Management of Contaminated Sites" was investigated as a candidate for a Use Case.
As this indicator does not use actual contaminated sites data, but only statistical data in association with the number and status of contaminated site and with the progress in cleaning-up contaminated sites in a country, the TWG decided not to retain it in the list of suitable Use Cases.
Mapping of this Use Case with the INSPIRE soil model of DS3.0
This Use Case does not use actual contaminated sites data, therefore can not be mapped to the INSPIRE soil model version 3.0
B.4. Land Irrigation Suitability for Navarre (Spain)
This Use Case explains the system followed in Navarre (Spain) for establishing the land irrigation suitability maps at a scale of 1:25.000.
Irrigation projects generally involve costly inputs and improvements, such as engineering works, irrigation and drainage networks, land clearing and levelling, and others. The estimation of the irrigation capacity of the land is basic for the development plans of a region, taking into account that the irrigated lands are the most productive ones, especially in the arid and semi-arid regions.
The essential parameters to consider in an irrigation suitability assessment are: climate, soil, drainage, hydrology, topography, vegetation, as well as, economic, social and political reasons. Therefore, a multidisciplinary team is needed for a regional irrigation project plan.
One of these actors in Navarre is the Department of Rural Development and Environment of the Government of Navarre, who is in charge, together with Tracasa, of the elaboration of the land irrigation suitability map from a soil point of view. This team decided to employ an adapted version of the USBR (United States Reclamation Bureau) land classification system. This system recognizes 7 land classes:
-
Class 1: Arable lands, suitable for irrigated farming, without use limitations.
-
Class 2: Arable lands, suitable for irrigated farming, with slight limitations.
-
Class 3: Arable lands, suitable for irrigated farming, with moderate limitations.
-
Class 4: Arable lands, suitable for a fixed irrigated farming and employing special irrigation systems, with high limitations.
-
Class 5: A class requiring special reports to establish whether it is suitable or not for irrigation.
-
Class 6: Arable lands, non-suitable for irrigated farming or non-arable lands.
-
Class IU: Non-productive lands.
Subclasses indicate the reason for the land being downgraded to a lower class. These deficiencies are related to soil, topography and/or farm drainage:
-
Soil: effective depth and texture, carbonate content, stoniness, sodicity and salinity, in the superficial horizon and/or control section.
-
Topography: slope.
-
Drainage: ground water table depth and impermeable layer depth.
Soil cartographic units are reclassified according to the parameters above mentioned as it is shown in Figure 1. Afterwards, this information is intersected with the land cover and slope map (Figure 2) and the product is the "Land irrigation suitability map" at a scale of 1:25.000. For these automated GIS processes a suite of applications (Geobide) have been specifically designed in Tracasa.
The "Land irrigation suitability map" is made at a scale of 1:25.000, therefore, and depending on the case, for further and more detailed information, additional works should be carried out.
Figure 1: Reclassification of Soil Cartographic Units according to soil parameters, topography and drainage.
Figure 2: Schema of the GIS geoprocessing in Geobide.
Use Case Description |
|
Name |
Land irrigation suitability in Navarre (Spain). |
Priority |
Medium |
Description |
Land irrigation suitability maps in Navarre (1:25.000) are elaborated following the methodology proposed by the USBR (Unites States Bureau of Reclamation), but adapted to the specific conditions of Navarre (Spain). The objective is to classify the land according to soil properties, topography, drainage and land cover. From the reclassification of this information and its intersection in GIS land irrigation suitability maps are obtained. |
Legal Foundation |
No legal base. |
Pre-condition |
None. |
Actors |
|
End-users |
Governmental bodies and public institutions, farmers, collective irrigation organisations… |
Information provider(s) |
Tracasa, Government of Navarre. |
Information processors(s)/Brokers |
Tracasa, Government of Navarre. |
Flow of Events – Basic Path |
|
Step 1 |
A soil map of a certain area is elaborated: field work, photointerpretation and map edition processes are made. |
Step 2 |
The soil mapping units (SMU) are reclassified according to soil, topography and drainage properties. |
Step 3 |
A slope map based on the DTM25 is elaborated according to 7 range values. |
Step 4 |
The reclassified soil map and slope map are intersected in GIS using the application Geobide. |
Step 5 |
The land cover map is reclassified according to 3 uses: forestry, arable land and non-productive land. |
Step 6 |
The reclassified land cover map is intersected in GIS with the soil-slope cross-map (Geobide). |
Step 7 |
The land irrigation suitability classes and subclasses' map is obtained. Its mapping units contain information about their limiting factor (soil, topography and/or drainage). |
Step 8 |
After getting into groups the previous subclasses into classes, the land irrigation suitability classes' map is obtained. The legend of this product is the following one (no information on the limiting factor is reflected): |
Step 9 |
These 2 maps are published in the VisorSITNA viewer (this viewer is available for governmental bodies and public institutions). |
Information source Input : Soil map of Navarre |
|
Description |
The map contains soil information of the municipalities of Navarre (1:25.000) (whole region not mapped yet). |
Dataset(s) |
The soil map of Navarre and its related soil data base are needed to obtain land irrigation maps. Specifically, the following parameters of the soil data base are used: |
Data provider |
Tracasa, Government of Navarre. |
Geographic scope |
Regional (Navarre, Spain). |
Thematic scope |
Soil |
Scale, resolution |
Polygonal data source, at a scale of 1:25.000. |
Delivery |
n/a |
Documentation |
Public. Soil maps (VisorSITNA viewer) and reports (in paper and/or CD, available at the Government of Navarre and Tracasa). |
Information source Input: Land cover map of Navarre |
|
Description |
This land cover map covers the whole region of Navarre (Spain) at a scale of 1:25.000. |
Dataset(s) |
Land cover map of Navarre and its related database. |
Data provider |
Tracasa, Government of Navarre. |
Geographic scope |
Regional (Navarre, Spain). |
Thematic scope |
Soil, land cover, land use. |
Scale, resolution |
Polygonal data source, at a scale of 1:25.000. |
Delivery |
n/a |
Documentation |
The land cover map is available at IDENA (http://idena.navarra.es) and in the VisorSITNA viewer. |
Information source Input: DTM25 of Spain |
|
Description |
The Digital Terrain Model based on a grid of 25 m covers the whole national territory of Spain and it’s obtained from the National Topographic Map 1:25.000 (MTN25). |
Dataset(s) |
DTM25 |
Data provider |
Instituto Geográfico Nacional (IGN). |
Geographic scope |
National (Spain). |
Thematic scope |
Soil, geographical grid system and elevation. |
Scale, resolution |
Raster data source, with a resolution of 25 metres. |
Delivery |
n/a |
Documentation |
n/a |
Information source Output: Land irrigation suitability classes' and subclasses' map |
|
Description |
The map classifies the land in up to 16 different subclasses and specifies whether the limitation to set up an irrigation project is related to the soil itself, drainage or topography. |
Dataset(s) |
Land irrigation classes and subclasses' map 1:25.000 and its related dataset. |
Data provider |
Tracasa, Government of Navarre. |
Geographic scope |
Regional (Navarre, Spain) |
Thematic scope |
Soil, agricultural facilities and area management zones. |
Scale, resolution |
Polygonal data source, at a scale of 1:25.000 |
Delivery |
n/a |
Documentation |
Public. Land irrigation maps (VisorSITNA viewer) and reports (in paper and/or CD, available at the Government of Navarre and Tracasa). |
Information source Output: Land irrigation suitability classes' map |
|
Description |
This map classifies the terrain in up to 7 different irrigation suitability classes, but it doesn’t specify the limitations of each class. |
Dataset(s) |
Land irrigation suitability classes' map (1:25.000) and its related data base. |
Data provider |
Tracasa, Government of Navarre. |
Geographic scope |
Regional (Navarre, Spain) |
Thematic scope |
Soil, agricultural facilities and area management zones. |
Scale, resolution |
Polygonal data source, at a scale of 1:25.000. |
Delivery |
n/a |
Documentation |
Public. Land irrigation maps (VisorSITNA viewer) and reports (in paper and/or CD, available at the Government of Navarre and Tracasa). |
Mapping of the soil dataset with the INSPIRE Soil model of DS3.0
IMPORTANT NOTE this mapping still needs to be checked if it matches the latest version of the soil data model, as described in this document.
Input dataset: Soil Map of Navarre and its database
Soil dataset |
Corresponding objects in the Inspire-Soil model |
Soil Cartographic Unit |
SoilBody |
Superficial Horizon |
SoilProfile: ProfileElement: SoilLayer: LayerType: LayerTypeValue: topsoil |
Control Section |
SoilProfile: ProfileElement: SoilLayer: LayerType: LayerTypeValue: subsoil |
Effective depth |
SoilProfile: SoilProfileParameter: SoilProfileParameterType: SoilProfileParameterNameValue: potentialRootDepth |
Mean carbonate content |
SoilProfile: ProfileElement: ProfileElementParameter: ProfileElementParameterType: ProfileElementParameterNameValue: organicCarbonContent |
Texture |
SoilProfile: ProfileElement: ParticleSizeFraction: ParticleSizeFractionType |
Stoniness/coarse fraction content |
SoilProfile: ProfileElement: ProfileElementParameter: ProfileElementParameterType: ProfileElementParameterNameValue |
Sodicity (SAR) |
SoilProfile: ProfileElement: ProfileElementParameter: ProfileElementParameterType: ProfileElementParameterNameValue |
Electric conductivity of the soil saturation extract |
SoilProfile: ProfileElement: ProfileElementParameter: ProfileElementParameterType: ProfileElementParameterNameValue |
Output dataset: Land Irrigation suitability classes' and subclasses' map
Soil dataset |
Corresponding objects in the Inspire-Soil model |
Land irrigation suitability class |
soilDerivedObject |
Land irrigation suitability class and subclass |
soilDerivedObject |
B.5. Development of methodologies for soil salinity surveillance in the middle Ebro basin
Subtitle: Development and validation of methodologies based on territorial information systems (remote sensing, GIS, and electromagnetic sensing systems) for identification, prospection and surveillance of salt-affected areas in the middle Ebro basin using information derived from soil maps as ground truth.
The European Commission proposed a framework and common objectives to prevent soil degradation, preserve soil functions and remediate degraded soil (European Thematic Strategy for Soil Protection[21].] (ETSSP). Under this proposal, risk areas and polluted sites must be identified and provision should be made to remediate degraded soil.
The measures included in the proposal for a Soil Framework Directive[22] (SFD) include obligatory identification by Member States of areas at risk of erosion, organic matter decline, compaction, salinization and landslides, or where the degradation process is already underway. Member States must set objectives and adopt programs of measures to reduce these risks and to address the effects they have.
This Strategy suggests the need to protect the soil, among others, from soil salinization or the accumulation of soluble salts in the soil at such levels that reduces soil’s physical-chemical quality, crop yields and the environmental quality (salinization of surface- and ground-waters).
This use case is part of a Spanish research project (RTA2008-00083-C02-00) under development (2009-2011), entitled "Soil salinity prospection in the middle Ebro basin and design of its spatial-temporal surveillance through territorial information technologies". It is a coordinated project with two subprojects, one in Navarra (RTA2008-00083-C02-01; whose main research is Mª Esperanza Amezketa), and another one in Aragón (RTA2008-00083-C02-02; whose main research is Mª Auxiliadora Casterad).
This research project is tackling the more relevant aspects of the ETSSP with respect to soil salinization, with the objective of researching and establishing methodologies for soil salinity survey and appropriate systems for its spatial-temporal surveillance. The study considers, for pre-selected study areas in the middle Ebro basin (Navarra and Aragón), the analysis of the spatial distribution of soil salinity and of the geomorphologic and hydro-geologic factors and processes determining of its development, as well as the design of their spatial-temporal surveillance through territorial information technologies (classical soil prospection, electromagnetic induction sensors associated to global positioning systems-MGES, remote sensing, and geographic information systems). The methodologies are being contrasted, evaluated and adapted to the natural and agrarian landscape. The information that will be generated will contribute to better soil management and soil uses and territory planning, and to the systematizing of soil protection policies required by the current ETSSP and the future SFD.
This project is financially supported by the INIA (Instituto Nacional de Investigación Agraria y Alimentaria, RTA2008-00083-C02-00), the Department of Environment and Rural Development of the Government of Navarra (RTA2008-00083-C02-01), the Ministry of Science and Innovation (Spain) and the European Social Fund (SubProgramme Torres Quevedo, PTQ-08-03-07315).
This use case shows three examples included in this research project.
Use Case Description |
|
Name |
Methodologies for soil salinity surveillance in the middle Ebro basin (Spain): Development and validation of methodologies based on territorial information systems (remote sensing, GIS, and electromagnetic sensing systems) for identification, prospection and surveillance of salt-affected areas in the middle Ebro basin (Spain) using information derived from soil maps as ground truth. |
Priority |
High |
Description |
This use case shows three examples of usage of soil map information for the objective of researching methodologies for soil salinity prospection and its spatial-temporal surveillance:
|
Legal Foundation |
No legal base (yet). The Soil Framework Directive is not approved. However, the European Soil Thematic Strategy for Soil Protection already recommends the development of information like this. |
Pre-condition |
Soil Framework Directive has to be approved by the EU. |
Actors |
|
End-users |
Governmental bodies and public institutions at regional and/or national level, soil researchers, farmers, collective irrigation organisations, etc. |
Information provider(s) |
Government of Navarra, Tracasa, Government of Aragón, Centro de Investigación y Tecnología Agroalimentaria de Aragón (CITA) |
Information processors(s)/Brokers |
Tracasa, CITA-Aragón |
Example 1: |
|
Step 1 |
Use of soil maps to characterize the high variability of soil physical-chemical properties at regional level, to identify soil-types and to stratify the territory. |
Step 2 |
Selection of some of the most susceptible SCU for presenting salinity problems (according to geographic position, geologic materials, etc) for EMISS prospection and calibration. |
Step 3 |
Calibration of the sensor (EMISS) to convert the apparent soil electrical conductivity (ECa) into ECe values.
|
Step 4 |
Obtaining calibration equations at each selected SCU for assigning soil salinity phases to the EMISS readings:
|
Step 5 |
Assigning soil salinity phases to EMISS readings for selected SCU: EMISS readings (ECa) must be converted into soil salinity classes according to the calibration equation and to the threshold ECa values equivalent to ECe values of 4, 8 and 16 dS m-1. |
Post-condition |
|
Information source Input : Soil maps at 1:25.000 |
|
Description |
The map contains soil information for the pilot areas at a scale of 1:25.000. |
Dataset(s) |
Information employed:
|
Data provider |
Government of Navarra, Tracasa, |
Geographic scope |
Regional |
Thematic scope |
Soil |
Scale, resolution |
Polygonal data source, at a scale of 1:25.000. |
Delivery |
n/a |
Documentation |
Public. Soil maps (VisorSITNA viewer) and reports (in paper and/or CD, available at the Government of Navarra and Tracasa). |
External reference |
n/a |
Information source Output: Map of salt-affected areas |
|
Description |
The map has information about soil salinity phases |
Dataset(s) |
Map of salt-affected areas and its related database. |
Data provider |
Government of Navarra, Tracasa, |
Geographic scope |
Regional, very small pilot areas |
Thematic scope |
Soil |
Scale, resolution |
Polygonal data source, at a scale of 1:25.000 |
Delivery |
n/a |
Documentation |
n/a |
External reference |
n/a |
Information source Output: Sensor calibration equations |
|
Description |
Calibration equations for the studied soil cartographic units (SCU) |
Dataset(s) |
|
Geographic scope |
Local, one for each SCU. |
Data provider |
Tracasa, |
Thematic scope |
Soil |
Scale, resolution |
n/a |
Delivery |
n/a |
Documentation |
n/a |
External reference |
n/a |
Example 2: |
|
Step 1 |
Selection of pilot study areas |
Step 2 |
Obtaining several layers/maps from digital elevation model: slope, curvature, plan curvature, wetness index, etc |
Step 3 |
Intersection of several information in a GIS project for the pilot areas: information derived from DTM (slope, curvature, plan curvature, wetness index, etc), geomorphologic units, parental material, |
Step 4 |
Validation of the methodology based on GIS by employing soil map information (soil salinity maps) as ground truth. |
Post-condition |
|
Information source Input : Soil map at 1:25.000 |
|
Description |
The map contains soil information of the pilot areas at a scale of 1:25.000. |
Dataset(s) |
Information employed:
|
Data provider |
Government of Navarra, Tracasa. |
Geographic scope |
Regional |
Thematic scope |
Soil |
Scale, resolution |
Polygonal data source, at a scale of 1:25.000. |
Delivery |
n/a |
Documentation |
Public. Soil maps (VisorSITNA viewer) and reports (in paper and/or CD, available at the Government of Navarra and Tracasa). |
External reference |
n/a |
Information source Input: Digital Terrain Model (DTM) |
|
Description |
DTM of 5x5 m |
Dataset(s) |
Maps derived from DTM: maps of slope, curvature, profile curvature, plain curvature, wetness index etc., 25m x 25m |
Data provider |
Tracasa. |
Geographic scope |
Small pilot areas (few thousands of hectares) in Navarra (Spain) |
Thematic scope |
|
Scale, resolution |
DTM (5m x 5m), maps derived from DTM (25 x 25m) |
Delivery |
n/a |
Documentation |
|
Information source Output: Map of risk for presenting salinity accumulation (primary salinization) |
|
Description |
Maps with two classes (low and medium/high) of risk for presenting salt accumulation (primary salinization). |
Dataset(s) |
Map of risk for presenting salinity accumulation and its related database. |
Data provider |
Tracasa. |
Geographic scope |
Regional, small pilot areas in Navarra (Spain) |
Thematic scope |
Soil. |
Scale, resolution |
|
Delivery |
n/a |
Documentation |
n/a |
External reference |
n/a |
Information source Output: Methodology for assessing the risk for soil salinity accumulation (primary salinization) |
|
Description |
GIS based methodology to be used for complementing other methodologies, such as remote sensing, in order to optimize the selection of areas for soil salinity prospection and/or monitoring. |
Dataset(s) |
|
Geographic scope |
|
Data provider |
Tracasa, |
Thematic scope |
Soil |
Scale, resolution |
n/a |
Delivery |
n/a |
Documentation |
n/a |
External reference |
n/a |
Example 3: |
|
Step 1 |
Selection of pilot areas for the study. |
Step 2 |
Calculation of NDVI from Landsat images for the pilot areas over the time. |
Step 3 |
Identification of persistently problematic areas from the agricultural point of view, using the NDVI information. |
Step 4 |
Validation of the methodology based on remote sensing by employing soil map information (soil salinity map derived from soil maps at regional scale, and detailed soil salinity maps obtained with EMISS) as ground truth. |
Post-condition |
|
Information source Input : Soil maps at 1:25.000 |
|
Description |
The map contains information about the salt-affected areas in the pilot areas at a scale of 1:25.000. |
Dataset(s) |
The map of the salt-affected areas has information about four soil salinity classes established from the maximum electrical conductivity of the soil saturation extract (ECe, dS/m) measured in the soil profiles: The four soil salinity classes are: |
Data provider |
Government of Navarra, Tracasa, Government of Aragón, Centro de Investigación y Tecnología Agroalimentaria de Aragón (CITA). |
Geographic scope |
Pilot study areas in Navarra and Aragón (Spain) |
Thematic scope |
Soil, agriculture |
Scale, resolution |
Polygonal data source, at a scale of 1:25.000. |
Delivery |
n/a |
Documentation |
Navarra: Public. Soil maps (VisorSITNA viewer) and reports (in paper and/or CD, available at the Government of Navarra and Tracasa). |
External reference |
n/a |
Information source Input: Other maps |
|
Description |
|
Dataset(s) |
|
Data provider |
Government of Navarra, Tracasa, Government of Aragón, CITA |
Geographic scope |
Pilot areas in Navarra and Aragon (Spain) |
Thematic scope |
Soil, land cover, land use, cadastre |
Scale, resolution |
Polygonal data source, the scale depends on the layer |
Delivery |
n/a |
Documentation |
In Navarra, the land cover map and the cadastre are available at IDENA (http://idena.navarra.es) and in the VisorSITNA viewer. |
Information source Input: Remote sensing images |
|
Description |
Landsat images for different dates within a year. |
Dataset(s) |
|
Data provider |
Government of Navarra, Tracasa, Government of Aragón, CITA |
Geographic scope |
Pilot study areas in Navarra and Aragón (Spain) |
Thematic scope |
|
Scale, resolution |
30m x 30m |
Delivery |
n/a |
Documentation |
n/a |
External reference |
n/a |
Information source Output: Maps of areas with persistent agricultural problems (low productivity) |
|
Description |
Raster maps (25 m x 25m) of areas that have persistent problems from the agricultural point of view (low productivity), which can be seen as areas with possible problems of soil salinity. These maps, combined with other information, could be used for optimizing areas for salinity prospection and monitoring. |
Dataset(s) |
|
Geographic scope |
Pilot study areas in Navarra and Aragón (Spain) |
Data provider |
Government of Navarra, Tracasa, Government of Aragón, CITA |
Thematic scope |
Soil, agriculture |
Scale, resolution |
Regional, raster maps 25m x 25m |
Delivery |
n/a |
Documentation |
n/a |
External reference |
n/a |
Information source Output: Methodology for identifying salt-affected areas |
|
Description |
Methodology based on spectral indices derived from remote sensing and combined with GIS technology for identifying salt-affected or potentially salt-affected areas, using information derived from the soil maps for their validation. |
Dataset(s) |
|
Geographic scope |
Pilot study areas in Navarra and Aragón (Spain) |
Data provider |
Government of Navarra, Tracasa, Government of Aragón, CITA |
Thematic scope |
Soil, agriculture |
Scale, resolution |
n/a |
Delivery |
n/a |
Documentation |
n/a |
External reference |
n/a |
Mapping of the soil dataset with the INSPIRE Soil model of DS version 3.0.
IMPORTANT NOTE this mapping still needs to be checked if it matches the latest version of the soil data model, as described in this document.
Input dataset: Soil Maps of the middle Ebro basin and its database
Soil dataset |
Corresponding objects in the Inspire-Soil model |
Soil Cartographic Unit |
soilBody |
Sampling point |
soilPlot |
Sampling at different depth increments |
SoilProfile: ProfileElement: SoilLayer: LyerType: LayerTypeValue: depthInterval |
Electrical conductivity of the soil saturation extract (ECe) |
SoilProfile: ProfileElement: ProfileElementParameter: ProfileElementParameterType: ProfileElementParameterNameValue |
Soil water content |
SoilProfile: ProfileElement: ProfileElementParameter: ProfileElementParameterType: ProfileElementParameterNameValue |
Texture |
SoilProfile: ProfileElement: ParticleSizeFraction: ParticleSizeFractionType |
Apparent electric conductivity (ECa) |
SoilProfile: SoilProfileParameter: SoilProfileParameterType: SoilProfileParameterNameValue |
Soil Taxonomy classification |
SoilProfile: DerivedSoilProfile: otherSoilName |
Output dataset: Map of salt affected areas, map of risk for presenting salinity accumulation, maps of persistent agricultural problems
Soil dataset |
Corresponding objects in the Inspire-Soil model |
Salinity phase |
soilDerivedObject |
Risk for presenting salt accumulation |
soilDerivedObject |
Persistent agricultural problems |
soilDerivedObject |
B.6. MARS project
Yield forecasting within the MARS project
For the implementation of the Common Agricultural Policy, the European Commission needs timely information on the agricultural production to be expected in the current season. This is a main concern of the MARS-project (Monitoring Agricultural ResourceS). A Crop Yield Forecasting System (MCYFS) has been developed. It is managed by the Joint Research Centre (JRC) of the European Union (EU) in Ispra, Italy. The aim of the MARS crop yield forecasting system is to provide accurate and timely crop yield forecasts and crop production biomass for the union territory and other strategic areas of the world. The rationale behind the crop forecasts at EU level is based on the lack of timely information to take rapid decision on CAP instruments during the year.
A Crop Forecasting System has been developed and operationally run since 1992 in order to provide timely crop production forecasts at European level. This system is able to monitor crop vegetation growth (cereal, oil seed crops, protein crops, sugar beet, potatoes, pastures, rice) and include the short-term effects of meteorological events on crop productions and to provide yearly yield forecasts on European crops. This system is made by remote sensing and meteorological observations, agro-meteorological modelling (Crop Growth Monitoring System (CGMS), MARS Model Library) and statistical analysis tools.
We focus in this use-case on crop growth monitoring system (CGMS) as it is the system where soil data are used.
The Crop Growth Monitoring System developed by MARS Project provides the European Commission (DG Agriculture) with objective, timely and quantitative yield forecasts at regional and national scale. CGMS monitors crops development in Europe, driven by meteorological conditions modified by soil characteristics and crop parameters. This mechanistic approach describes crop cycle (i.e. biomass, storage organ …) in combination with phenological development from sowing to maturity on a daily time scale. The main characteristic of CGMS lies in its spatialisation component, integrating interpolated meteorological data, soils and crops parameters, through elementary mapping units used for simulation in the crop model. The core of the system is based on 2 deterministic crop models, WOFOST and LINGRA. GIS tools are used to prepare data and to produce results maps. Input and output are stored in a RDBMS. Statistical procedures are used to forecast quantitative crops yield.
In summary, CGMS consists of three main parts (Figure 3):
-
Interpolation of meteorological data to a square grid
-
Simulation of the crop growth
-
Statistical evaluation of the results
Figure 3: Levels in the Crop Growth Monitoring System
Use Case Description |
|
Name |
Crop Growth Monitoring System |
Priority |
high |
Description |
CGMS provides the European Commission (DG Agriculture) with objective, timely and quantitative yield forecasts at regional and national scale. |
Legal foundation(s) |
no legal base but is part of activities of the DG Agriculture around the CAP |
Pre-condition |
|
Flow of Events - Basic Path |
|
Step 1 |
Gathering of meteorological data, quality control of the data and interpolation on a 50 km by 50 km grid |
Step 2 |
determination of the parameters of the crop model: soils, crops and definition of simulation units |
Step 3 |
crop simulation using data from step 1 and 2 with the crop model (three crop models are used following the crops) |
Step 4 |
analysis of historical statistical yield data and correction of the indicators of crop simulation to define yield forecast |
Step 5 |
realisation of maps and bulletins for end-users |
Post-condition |
|
Actors |
|
End-users |
|
Information provider(s) |
Meteorology authorities, ESBN for the soil DB |
Information processors(s)/Brokers |
JRC |
Information Source Input |
|
Description |
|
Thematic scope |
Soil, Agricultural Facilities, administrative units |
Base datasets |
|
Data provider |
Soil: ESBN |
Scale, resolution |
Europe |
Documentation |
|
External reference |
|
Information Source Output |
|
Description |
meteorological maps for alarm |
Thematic scope |
Agricultural Facilities |
Base dataset(s) |
|
Data provider(s) |
JRC |
Scale, resolution |
Europe |
Documentation |
web site of Mars project |
External reference |
Mapping this Use Case with the INSPIRE soil model of DS version 3.0
IMPORTANT NOTE this mapping still needs to be checked if it matches the latest version of the soil data model, as described in this document.
Input dataset: Soil Geographical Data Base of Eurasia (SGDBE)
Soil dataset |
Corresponding objects in the Inspire-Soil model |
Soil Typological Unit (STU) |
derivedSoilProfile |
STU attribute: FAO soil name |
derivedSoilProfile:otherSoilName |
STU attribute: parent material |
soilLayer:layerType:geogenic soilLayer:layerRockType (with transformation) |
STU attribute: depth to textural change |
derivedSoilProfile:soilProfileParameter (extension) |
STU attribute: depth of an obstacle to roots |
derivedSoilProfile:soilProfileParameter:potentialRootDepth |
STU attribute: agricultural limitation |
derivedSoilProfile:soilProfileParameter (extension) |
STU attribute: topsoil texture |
soilLayer:layerType:topsoil profileElementParameter (extension) |
STU attribute: subsoil texture |
soilLayer:layerType:subsoil profileElementParameter (extension) |
STU attribute: depth to impermeable layer |
derivedSoilProfile:soilProfileParameter (extension) |
STU attribute: water regime |
derivedSoilProfile:soilProfileParameter:waterDrainage |
Soil association (SMU) |
soilBody |
list of STUs within a soil association |
derivedProfilePresenceInSoilBody |
Output dataset: soil data estimated from the SGDBE
Soil dataset |
Corresponding objects in the Inspire-Soil model |
Soil Typological Unit (STU) |
derivedSoilProfile |
list of horizons with their depth |
soilHorizon:profileElementDepthRange |
for each horizon: water content at saturation |
soilHorizon:profileElementParameter (extension) |
for each horizon: water content at field capacity |
soilHorizon:profileElementParameter (extension) |
for each horizon: water content at wilting point |
soilHorizon:profileElementParameter (extension) |
STU attributes: crop suitability |
derivedSoilProfile:soilProfileParameter (extension) |
B.7. Restrictions for agricultural use based on mineral, the N-, and P-saturation in the soil and (shallow) ground water
For agricultural use of land it is important to know, based on soil classification and soil analysis, what limitations do exist based on the leaching of N and P into the ground water. In the WFD there are thresholds indicating the maximum values allowed. Secondly it is important to know the vulnerability for contamination of the ground water by minerals (N,P) due to agricultural practices in relation to the soil present at that location.
The questions in this use case are:
-
What is the vulnerability of leaching of NP due to the values for the relevant properties in the soil?
-
What is the maximum level for fertilizer application used by the farmers?
The outcome of this use case is usually a map based on the results of the calculation of the mineral usage, saturation and loss (Model). The model uses in NL are ANIMO and Waterpas
-
ANIMO Prediction of Nitrogen and Phosphorus leaching to groundwater and surface waters [http://www.animo.wur.nl/Documents/Report%20983.pdf]
-
Waterpas Effects of water management on agriculture [http://meetings.copernicus.org/www.cosis.net/abstracts/EGU2007/02561/EGU2007-J-02561.pdf]
The map shows where restriction zones and limitations are present. This is used for policy, monitoring and enforcing of nature conservation areas and water protection zones
To illustrate the specific situation we describe the following on the local scale.
NP application is dispersed on the soil (the fertilising process of the farmer); part of the minerals are tied to organic matter, part is tied to soil minerals, part is taken up by the crop during the growing season. Not all minerals are consumed by the crop, the loss is accumulates in the soil. This accumulation continues until the capacity of the soil is reached. The excess is leached to the deeper out of reach of the roots of the crop and is lost into deeper ground water or is drained via the surface water system. The Nitrogen can also be denitrificated which is vaporized in to the air (NO2). In the WFD the threshold for Nitrate is 25 milligrams/ litre (in the ground water) at a depth of 2 meter.
Note: similar use case can be defined for other applicants (crop protection chemicals)
Leaching is determined for nitrate by the pF, the ground water table and the amount of carbon in the soil. For Phosphate by the pH (most important), Fe, Al. (Ferro-aluminium complex)
Figure 4: schematic representation
Use Case Description |
|
Name |
Restrictions for agriculture use based on the N- and P-saturation in the soil and (shallow) ground water |
Priority |
medium |
Description |
For agricultural use of land it is important to know, based on soil classification and soil analysis, what limitations do exist based on the leaching of N and P into the ground water. In the WFD there are thresholds indicating the maximum values allowed. Secondly it is important to know the vulnerability for contamination of the ground water by minerals (N,P) due to agricultural practices in relation to the soil present at that location Note: similar use case can be defined for other applicants (crop protection chemicals) |
Legal foundation(s) |
WFD, Nature2000, National regulations for Ground water protection zones for drinking water. |
Pre-condition |
Measurements and observations on soil and ground and surface water (monitoring programme for the WFD) |
Flow of Events - Basic Path |
|
Step 1 |
Determine Soil type and absorption capacity for minerals (analysis results based on soil properties) |
Step 2 |
Compute the mineral usage, saturation and loss (Model) |
Step 3 |
Represent the model results usual in a map |
Step 4 (potential) |
Use results in EU/National protect areas for Nature (compare monitoring programme) |
Step 5 |
Use results for licensing agricultural use and enforcing legal regulations in NP use.(e.g. in NL the Sand, Peat and Clay map) |
Post-condition |
Improved soil and ground water quality and sustainable use of agricultural resources |
Actors |
|
End-users |
|
Information provider(s) |
Public, Soil Bureau, Water Authorities |
Information processors(s)/Brokers |
Private and public data collection companies, Laboratories, consultancy companies |
Information Source Input |
|
Description |
|
Thematic scope |
Soil, Agricultural Facilities, geology, hydrology, land cover |
Base datasets |
|
Data provider |
Soil bureaus |
Scale, resolution |
Regional (10.000 and up) |
Documentation |
|
External reference |
|
Information Source Output |
|
Description |
Output will represent , usually in a map where restriction zones and limitations are present |
Thematic scope |
hydrology (Soil, Agricultural Facilities) |
Base dataset(s) |
|
Data provider(s) |
Ministries, regional and local government |
Scale, resolution |
Regional (10.000 and up) |
Documentation |
References available in the member states (NL: Sand, Clay, Peat map report, and regional water management plans) and the NL regulation on mineral use in agriculture (meststoffenwet) |
External reference |
(LNV-loket) |
* The danger of leaching is very much related to historic land use (farmers spreading too much fertilizer/manure) and soil type characteristics. Consequences of historic land use show in the results of the farmer samples (used for fertilizing advices). These elements can not available in central databases. So you are fully dependent on:
-
Statistical data on the use of fertilizers/manure in a region.
-
soil data (soil map with underlying soil type characteristics)
-
results from regional water monitoring systems showing excesses in the concentrations of NP
IMPORTANT NOTE it still needs to be checked if the elements in this Use Case match the latest version of the soil data model, as described in this document.
B.8. Calculation threshold trace elements
Estimation of regional trace elements threshold for anomalous values detection in France
To determine if a site is polluted or not with trace elements, it is needed to compare the analytical results obtained on samples from the site to the background values of trace elements in the region. Trace elements naturally vary following the soil type and the parent material.
In France, the ministry of environment is in charge of polluted sites. It asks Inra to calculate threshold values using the data from the French soil monitoring network. The threshold values are estimated for 0-30 cm and for 30-50 cm layers on a 16 km by 16 km grid for the following trace elements: Cd total extractible, Co total, Cr total, Cu total extractible, Mo total, Ni total extractible, Pb total extractible, Th total, Zn total extractible. For each point of the grid, the estimation is based on the measured values of the 10 neighbouring points within a distance of 50 km for 0-30 cm and 30-50 cm respectively, and the calculation of the third quartile 3x(interquartile range).
The Figure 5 below shows an example from the web site giving the Cd total threshold for 0-30 cm.
Figure 5
Use Case Description |
|
Name |
regional trace elements threshold for anomalous values detection |
Priority |
high |
Description |
The aim is to furnish to public, values of reference at regional level for trace elements in topsoil and subsoil |
Legal foundation(s) |
no legal base but is part of activities around polluted sites legislation |
Pre-condition |
|
Flow of Events - Basic Path |
|
Step 1 |
Determining for each trace element and for 0-30 cm and 30-50 cm layers respectively, the list of 10 neighbouring points within 50 km having analytical values for each point of the grid. |
Step 2 |
calculation of statistical data (third quartile 3x(interquartile range)) at each point of the grid. No calculation is made if there is less than 10 points available. |
Step 3 |
|
Step 4 |
|
Step 5 |
|
Post-condition |
|
Actors |
|
End-users |
|
Information provider(s) |
GIS Sol (Inra is in charge of collecting and storing the data for the GIS Sol) |
Information processors(s)/Brokers |
Inra |
Information Source Input |
|
Description |
|
Thematic scope |
Soil |
Base datasets |
|
Data provider |
Inra |
Scale, resolution |
France, 16 km x 16 km |
Documentation |
|
External reference |
|
Information Source Output |
|
Description |
threshold value for trace element per grid cell for 0-30 cm and 30-50 cm |
Thematic scope |
soil |
Base dataset(s) |
|
Data provider(s) |
Inra |
Scale, resolution |
France, 16 km x 16 km |
Documentation |
web site |
External reference |
Mapping of this Use Case with the INSPIRE soil model of DS version 3.0
IMPORTANT NOTE this mapping still needs to be checked if it matches the latest version of the soil data model, as described in this document.
Input dataset: French soil monitoring network RMQS
Soil dataset |
Corresponding objects in the Inspire-Soil model |
soil profile |
observedSoilProfile |
observation location It is the "real" coordinates of the sampling area |
soilPlot soilPlotType: borehole |
0-30 cm layers |
soilLayer layerType:depthInterval profileElementDepthRange:0-30 cm |
30-50 cm layers |
soilLayer layerType:depthInterval profileElementDepthRange:30-50 cm |
analytical value for each layer of trace elements (Cd,Cr, Cu,Ni, Pb, Zn) |
profileElementParameter:CadmiumContent profileElementParameter:ChromiumContent profileElementParameter:CopperContent profileElementParameter:NickelContent profileElementParameter:LeadContent profileElementParameter:ZincContent For total content : processParameter: HF-HClO4 for extractible content: processParameter: EDTA |
analytical value for each layer of trace elements (Co,Mo, Th) |
profileElementParameter (extension) |
the cell which the observation is linked to It is the "theoretical" point of observation which corresponds to the centre of the cell |
soilSite |
Output dataset: soil data estimated on a grid 16 km x 16 km
Soil dataset |
Corresponding objects in the Inspire-Soil model |
grid cell |
soilDerivedObject |
threshold value for trace element per grid cell (Cd,Cr, Cu,Ni, Pb, Zn) for 0-30 cm |
soilDerivedObject:soilDerivedObjectParameter: CadmiumContent For total content : processParameter: HF-HClO4 for extractible content: processParameter: EDTA soilDerivedObjectDescriptiveParameter: 0-30 cm |
threshold value for trace element per grid cell (Co,Mo, Th) for 0-30 cm |
soilDerivedObject:soilDerivedObjectParameter (extension) For total content : processParameter: HF-HClO4 for extractible content: processParameter: EDTA soilDerivedObjectDescriptiveParameter: 0-30 cm |
threshold value for trace element per grid cell (Cd,Cr, Cu,Ni, Pb, Zn) for 30-50 cm |
soilDerivedObject:soilDerivedObjectParameter: CadmiumContent For total content : processParameter: HF-HClO4 for extractible content: processParameter: EDTA soilDerivedObjectDescriptiveParameter: 30-50 cm |
threshold value for trace element per grid cell (Co,Mo, Th) for 30-50 cm |
soilDerivedObject:soilDerivedObjectParameter (extension) For total content : processParameter: HF-HClO4 for extractible content: processParameter: EDTA soilDerivedObjectDescriptiveParameter: 30-50 cm |
B.9. Use of Soil Scape Viewer
Narrative explanation of the use case
The Soilscapes Viewer (see Figure 6 below) allows users to view and map the soils of England and Wales, searching by U.K. postcode or co-ordinates to see the general conditions at any point. An interactive legend allows users to click on a feature represented in the map and learn more about that soil type including drainage, texture, land cover, habitats, and fertility.
Figure 6: screenshot of the soil scape viewer
Soilscapes is a 1:250,000 scale, simplified soils dataset covering England and Wales. It was created from the far more detailed National Soil Map (NATMAP Vector) held by NSRI at Cranfield University, with the purpose of communicating effectively a general understanding of the variations which occur between soil types, and how soils affect the environment and landscape of the two countries.
Soilscapes Viewer is a simple web-application that gives web-access to the Soilscapes data The Soilscapes dataset is also available separately to lease as one of the NSRI soil data products.
The web map displays the soil characteristics for the "soil type" (one of only 27) at the specified location (soil texture, drainage status, soil fertility, commonly associated habitat and land cover) and a statistical presentation how common the soils at the location are when compared to the national stock of soils of England and Wales.Tools are provided to allow the user to navigate around the map, to change the scale of view, to pan the view, to query the information at a given specified point and finally to produce printed output.
Soilscapes is not intended as a means for supporting detailed assessments, such as land planning applications or site investigations. For such applications, Cranfield has a parallel service termed Soils Site Reporter that provides a comprehensive report of all the soils data held by NSRI for specific locations, and it is this report that is designed for use in support of more localized interests.
Detailed structured description of the Use Case
Use Case Description |
|
Name |
Soilscapes Viewer |
Priority |
Low |
Description |
The WebMapping tool allows non-expert users to access |
Legal foundation(s) |
none |
Pre-condition |
The thematic information and educational material are |
Flow of Events - Basic Path |
|
Step 1 |
The user access to the webpage. |
Step 2 |
The user accepts the Cranfield’s terms and conditions. |
Step 3 |
The user selects an area of interest by zooming or by selecting a postcode. |
Step 4 |
The user identifies one of the 27 Soilscapes units on a specified location. |
Post-condition |
The system provides information about drainage, fertility, |
Actors |
|
End-users |
General public |
Information provider(s) |
NSRI Cranfield University |
Information processors(s)/Brokers |
None (automatic interpretation of database) |
Information Source Output |
|
Description |
Web based soil map and information |
Thematic scope |
Soil characteristics |
Base datasets |
Interpreted map of the Soilscapes dataset |
Data provider |
NSRI Cranfield University |
Scale, resolution |
Maps derived from Soilscapes dataset at 1:250,000 |
Documentation |
|
External reference |
See web site |
Information Source Input |
|
Description |
In essence, there is only one dataset that serves as input to the Soilscapes Viewer: the Soilscapes dataset |
Thematic scope |
Soil (generalized data) |
Base dataset(s) |
Soilscapes dataset at 1:250,000 |
Data provider(s) |
NSRI Cranfield University |
Scale, resolution |
Scale is 1:250,000 |
Documentation |
|
External reference |
See web site |
Mapping of this Use Case with the INSPIRE soil model of DS version 3.0
This Use Case is not detailed enough in order to make a one-to-one mapping between the INSPIRE model and the described input- and output data.
B.10. Establishment Less Favoured Areas (France)
Test of biophysical criteria for determining Less Favoured Areas in France
The aid to farmers in Less Favoured Areas (LFA) provides a mechanism for maintaining the countryside in areas where agricultural production or activity is more difficult because of natural handicaps (e.g. difficult climatic conditions, steep slopes, or low soil productivity). Due to the handicap to farming in these areas, there is a significant risk of agricultural land abandonment and thus a possibility of loss of biodiversity, desertification, forest fires and the loss of highly valuable rural landscape. To mitigate these risks, the Less Favoured Areas (LFA) help maintaining appropriate farming systems for preserving landscapes and habitats ranging from wetlands to dry meadows and mountain pastures. In many areas, this is also an important part of the cultural heritage and of the overall attractiveness of rural areas.
Following a report of the European Court of Auditors (in 2003) challenging the LFA scheme, the Commission departments launched the LFA review exercise. Meanwhile, a panel of soil, climate and land evaluation experts, co-ordinated by the Joint Research Centre, Institute for Environment and Sustainability of Ispra, was tasked to elaborate a scientific approach which could support the delimitation of agricultural areas with natural handicaps.
The expert panel identified a number of soil, terrain and climate biophysical criteria indicating, at a certain threshold value, severe limitations for standard European agriculture. The suggested criteria went through a wide ranging consultation (LFA expert group of the representatives of European Research Institutes and of the National Authorities, technical bilateral meetings between the Commission departments and the Member States) and were presented in a Communication [COM(2009)161: 'Towards a better targeting of the aid to farmers in areas with natural handicaps'] in April 2009. In order to provide a solid basis for elaborating the required legislative proposal and to fully involve Member States in the delimitation process, the Communication asks Member States to simulate the application, on their territory, with their data, of the biophysical criteria listed in the Communication and to produce maps of the areas that would result under such simulations.
In France, the test of the biophysical criteria listed in the Communication was undertaken by Inra through the request of the French ministry of agriculture. This test was realized on 6 "Departement" where a soil data base at a scale of 1:250,000 was available and where there are handicaps to agriculture due to soil conditions.
Use Case Description |
|
Name |
Test of biophysical criteria for determining Less Favoured Areas in France |
Priority |
high |
Description |
The aim is to test the biophysical criteria proposed by the Commission, especially feasibility of the zoning considering available data in France |
Legal foundation(s) |
revision of the LFA zoning |
Pre-condition |
|
Flow of Events - Basic Path |
|
Step 1 |
Calculation of the different criteria for each STU (derived soil profile). The criteria are:
The Table 3 below details the attributes of the soil DB used for estimating the different criteria |
Step 2 |
Overlay of the SMU (soil body) with the municipalities |
Step 3 |
calculation of area of each STU within the municipality using the list of STU within a SMU and its percentage of area |
Step 4 |
calculation of the area of the municipalities constrained by each criteria |
Step 5 |
|
Post-condition |
|
Actors |
|
End-users |
|
Information provider(s) |
GIS Sol (Inra is in charge of collecting and storing the data for the GIS Sol) |
Information processors(s)/Brokers |
Inra |
Information Source Input |
|
Description |
|
Thematic scope |
Soil |
Base datasets |
|
Data provider |
Inra |
Scale, resolution |
1:250 000 |
Documentation |
|
External reference |
|
Information Source Output |
|
Description |
zoning of municipalities having a certain area constrained for each criteria |
Thematic scope |
soil |
Base dataset(s) |
list of municipalities with the area constrained for each criteria maps |
Data provider(s) |
Inra |
Scale, resolution |
municipalities level |
Documentation |
|
External reference |
Table 3: list of soil criteria proposed by the Commission and list of attributes used in the Soil DB to calculate them:
Criteria |
Definition |
Attributes describing STU used for its estimation |
drainage |
poorly drained soils (definition of Soil survey staff of USDA) |
Soil name (Referentiel Pédologique, French classification) Depth to a gleyed horizon Depth to a pseudogley horizon Abundance of redoximorphic features (mottles, concretions) of horizons |
sandy soils |
average texture on rooting depth: unsorted, medium and coarse sand or coarse loamy sand (FAO definition) |
clay, silt and sand content of horizons depth of appearance and thickness of horizons depth to and type of discontinuities |
heavy clay soils |
average texture on rooting depth: heavy clay (FAO definition) |
clay, silt and sand content of horizons depth of appearance and thickness of horizons depth to and type of discontinuities |
organic soils |
more than 30% of OM on over 40 cm within 0-80 cm |
Organic carbon or organic matter content of horizons depth of appearance and thickness of horizons |
stoniness |
more than 15% of coarse fragment within the topsoil |
abundance of coarse fragment for the topsoil horizon |
vertic soils |
soils with vertic properties (WRB definition) |
soil name name of horizons depth of appearance and thickness of horizons |
rooting depth |
< 30 cm |
depth of appearance and thickness of horizons depth to and type of discontinuities |
salinity |
4 dS/m |
soil name salinity of the horizon |
sodicity |
6 ESP |
soil name sodicity of the horizon |
gypsum content |
15% |
soil name |
Mapping of this Use Case with the INSPIRE soil model of DS version 3.0
IMPORTANT NOTE this mapping still needs to be checked if it matches the latest version of the soil data model, as described in this document.
Input dataset: soil DB at 1:250,000 scale for each Department (they have all the same structure)
Soil dataset |
Corresponding objects in the Inspire-Soil model |
Soil Typological Unit (STU) |
derivedSoilProfile |
STU attribute: soil name in Référentiel Pédologique |
derivedSoilProfile:otherSoilName |
STU attribute: drainage class |
soilProfileParameter (extension) |
STU attribute: depth to a gleyed horizon, depth to a pseudo gley horizon, depth and type of discontinuities |
soilProfileParameter (extension) |
Layers of the STU with name, depth |
soilHorizon otherHorizonNotation profileElementDepthRange |
attributes for the layers: modal values for organic carbon content |
profileElementParameter:organicCarbonContent |
other attributes for the layers: modal values for stoniness, salinity, sodicity, mottling etc. |
profileElementParameter (extension) |
attributes for the layers: modal values for clay content, silt content, sand content |
particleSizeFraction NB: As it is modal values, the sum of fractions can be different from 100%. Often, only two fractions are available. |
Soil mapping Units |
soilBody |
list of STUs within a SMU |
derivedProfilePresenceInSoilBody |
Output dataset: constraint at the municipality’s level
Soil dataset |
Corresponding objects in the Inspire-Soil model |
municipalities |
soilDerivedObject |
drainage constraint |
soilDerivedObject:soilDerivedObjectParameter (extension) |
texture and stoniness constraint |
soilDerivedObject:soilDerivedObjectParameter (extension) |
rooting depth constraint |
soilDerivedObject:soilDerivedObjectParameter (extension) |
chemical properties constraint |
soilDerivedObject:soilDerivedObjectParameter (extension) |
soil constraint |
soilDerivedObject:soilDerivedObjectParameter (extension) |
B.11. Contaminated Land Register Austria
Introduction
The Austrian contaminated land register (Verdachtsflächenkataster) contains information on historical landfills and sites of historical polluting activities. The register is made up from the information received from the local authorities. The process of registration is continuing. Registration of a received report only follows if the supplied information is considered sufficient. Inclusion in the register does not confirm actual risks, this should follow from investigations.
The information if a property is on the register is publicly available on basis of the land register identification number (Grundstücksabfrage online).
Purpose
Purpose of the system seems to be:
-
supporting the national policy on soil quality by building up insight into the extent of the problem of local soil pollution and
-
to assist the planning and process of land rehabilitation by monitoring the progress and workload of investigations and remediations.
-
to give information to the public, (i.e. land users and potential land buyers) to sites with possible risks
Current status
The report VERDACHTSFLÄCHENKATASTER UND ALTLASTENATLAS (Granzin, Valtl, Umweltbundesamt, Wien 2010) gives an overview of the current content of the register, geographical distribution, land use of sites, type of polluting activities and the main polluting substances and is available on http://www.umweltbundesamt.at/fileadmin/site/publikationen/REP0259.pdf
The website mentions currently 58 000 registered sites, 2000 potential contaminated sites to be investigated in more detail to decide on the need of remediation and 152 contaminated sites yet known to be cleaned or protected, The state of remediation is: about 100 sites with remediation in progress and 100 sites with completed remediation.
The data in the system can be dived in:
a) Potential contaminated sites register (in land register)
b) Surveys (after confirmed suspicion)
c) Contaminated sites atlas of Austria
d) Cleaning and protection measures
Comparable systems
Examples of comparable systems in the EU are
-
the German inventory LABO/ ALA (Bund/Länder Arbeitsgemeinschaft Bodenschutz, Ständiger Ausschuss Altlasten) and
-
the Netherlands LDB inventory (Landsdekkend Beeld Bodemverontreiniging / Bodemloket /Globis).
General Overview of data in the system
-
potentially contaminated sites register (in land register)
Overview of data on potentially contaminated sites in the system-
land register identification number
-
description of the potential assumed deposits
-
excavation material
-
demolition waste
-
garbage
-
industrial waste
-
hazardous waste
-
-
description of the industrial and commercial activities
-
12 different branches
-
-
description of the natural environment
-
description of the vulnerable environment
-
groundwater
-
air
-
surface water
-
soil
-
-
description of the administrative data (calendar date of adoption)
-
classification in risk areas (four classes)
-
-
Discussion:
It is a point of discussion to have potentially contaminated sites included in any EU Regulations and inventories. When doing so a general guideline for comparability is essential. But as the polluting activities may differ from country to country this can be expected to be difficult. The inventory can be broad or narrow. As an example: in the Netherlands the choice was made for an extensive list of potentially contaminated sites. After ongoing investigations many categories were skipped because for those categories there appeared to be very little sequence in soil investigations leading to the need of cleaning or protection.
The type of deposits seems to be a good indicator, but may also be part of a description of the polluting activities.
The description of the natural environment is probably related to ecological risks. In relation to human risks the current and planned land use is of more importance.
In the Netherlands a much more extensive list is used, consisting of several hundred branches of polluting activities (following European NACE-codes, but sometimes splitting up because of historical variations in the processes and consequentially the situation of pollution).
This item coincides with the possible contaminated soil site and all related attributes in the model on soil contamination of the TGW Soil.
-
Surveys (after confirmed suspicion)
Overview of data in the system:-
first survey
-
completed
-
in progress
-
-
detailed survey
-
completed
-
in progress
-
-
Discussion:
Dates of survey seem not to be included as well as final conclusions.
The tiered approach may help to prevent a large investigation expenditure on sites of less importance.
The quality standards of the investigations are important because of the high costs of cleaning. Is the investigation sufficient in relation to cleaning and protection measures (including sufficient data on the size of the contaminated area, pollutants, pollutant levels and soil types) or only sufficient to know it is contamination or not.
This item coincides with the investigation state in the model on soil contamination of the TGW Soil.
-
contaminated sites atlas - Austria
Overview of data on contaminated sites in the system:-
name
-
land register identification number
-
kind of contaminated site ("old deposit, old-site")
-
kind of deposits
-
garbage
-
urban repository
-
commercial repository
-
-
description of the industrial and commercial activities
-
pollutants
-
CKW
-
petroleum
-
heavy metals
-
PAK
-
other
-
Phenol
-
BTEX
-
Cyanide
-
-
current use
-
industrial area
-
brownfield
-
repository
-
agriculture
-
housing zone
-
-
calendar date (adoption in atlas)
-
status of pollution management (classification in Austria)
-
calendar date (status classification)
-
complete and detailed description (measurement data: soil-air, soil, groundwater) of the site and all kinds of relevant information can be added in an extra file for download; also a detailed site map and risk assessment information
-
Figure 7: Delineation of contaminated sites in Austria.
Discussion:
The kind of contaminated site can be related to polluting activity and land use.
Status of investigation is not included, probably because sites are added only after formal decision or on the basis of a detailed investigation. A longer list of pollutants should be expected.
Beside current land use also planned land use is of importance for the value of actions in relation to protection and cleaning. A classification of land use in relation to risks is recommended.
This item coincides with the feature contaminated soil site in the model on soil contamination of the TGW Soil.
-
Cleaning and protection measures
Overview of data on cleaning and protection measures in the system:-
cleaning planned
-
protection planned
-
cleaning in progress
-
protection in progress
-
cleaning completed
-
protection completed
-
complete and detailed description of the site and all kinds of relevant information can be added in an extra file for download
-
Discussion:
The addition planned dates should be more informative.
If protection measures are taken (against risks or dispersion while leaving pollution largely on the site) it is important to know if and how the need of maintenance is covered and when cleaning it is important to know if the cleaning is complete (for a certain level of pollution and performed in both soil in the unsaturated and saturated zones).
This item coincides with the measure stage and the measure taken type in the model on soil contamination of the TGW Soil.
From experience in the Netherlands it is recommended to add after the technical completion: a last step of organisational completion, going into the evaluation of the work (answering questions like: were the quality of cleaning and the plan for aftercare sufficient? Is the plan for aftercare financially covered and are the connected contracts arranged?)
Use Case Description |
|
Name |
Contaminated land register Austria |
Priority |
High |
Description |
System to provide information on historical landfills and sites of historical contamination, including potentially contaminated sites, surveys completed and in progress, confirmed contaminated sites, cleaning and protection measures. The full data structure is not available. The information if a property is on the list is public but does not confirm actual risks. |
Legal foundation(s) |
National regulations for property transfer of real estates. |
Pre-condition |
Measurements and observations on soil and both ground/ surface water. |
Flow of Events - Basic Path |
|
Step 1 |
Record land register identification number |
Step 2 |
Record potential historical contamination connected with these land register identification numbers |
Step 3 |
Record soil surveys connected with these land register identification numbers |
Step 4 |
Record cleaning and protection measures connected with these land register identification numbers. |
Actors |
|
End-users |
|
Information provider(s) |
Local authorities |
Information processors(s) |
Ministry of the environment |
Information Source Input |
|
Description |
|
Thematic scope |
Soil contamination status |
Base datasets |
|
Data provider |
Local authorities |
Scale, resolution |
Regional (50 m2 and up) |
Documentation |
Report Verdachtsflächenkataster und Altlastenatlas (Granzin, Vatl, Umweltbundesamt Wien, 2010) |
External reference |
|
Information Source Output |
|
Description |
Atlas of contaminated sites in Austria, Public information if a land register identification number is included in the register of historical pollution. |
Thematic scope |
Soil contamination status |
Base dataset(s) |
|
Data provider(s) |
Land register, ministry of the environment |
Scale, resolution |
Regional (50 m2 and up) |
Documentation |
See website |
External reference |
Mapping of the Use Case 'Contaminated land register Austria' with the INSPIRE soil model of DS version 3.0
IMPORTANT NOTE this mapping still needs to be checked if it matches the latest version of the soil data model, as described in this document.
Input dataset: national and local authorities provide and collect historical data, soil information and further knowledge to investigate and survey potential contaminated sites. The Use case is a real world example on the soil model and is a subtype of the soil model feature type SoilSite.
Soil attributes |
Corresponding objects in the INSPIRE soil model |
1) potential contaminated sites register |
PossiblyContaminatedSoilSite (feature type) |
a) extend of the area, point location |
SoilSite: geometry |
b) land register identification number |
PossiblyContaminatedSoilSite: localName |
c) description of the potential assumed deposits |
PossiblyContaminatedSoilSite: wasteType |
d) description of the industrial and commercial activities |
PossiblyContaminatedSoilSite: contaminatingActivityType |
e) description of the natural environment |
SoilSite: SoilSiteParameter: SoilSiteParameterType: SoilParameterValueType linked to ObservableProperty, PhenomenonTypeValue and UnitOfMeasure which is part of OM_Observation (feature type) |
f) description of the vulnerable environment |
ContaminatedSoilSite: RiskType |
g) description of administrative data |
SoilSite: validFrom |
h) classification in risk areas |
no matches |
2) surveys (after confirmed suspicion) |
SoilPlot (feature type) |
a) stage of investigation and surveying |
PossiblyContaminatedSoilSite: investigationState |
3) Cleaning and protection measures |
SoilPlot (feature type) |
a) description of general site information |
SoilSite: SoilSiteParameter: SoilSiteParameterType: SoilParameterValueType linked to ObservableProperty, PhenomenonTypeValue and UnitOfMeasure which is part of OM_Observation (feature type) |
b) characterization of management measures |
ContaminatedSoilSite: measureStage and measureTaken: MeasureTakenType |
Output dataset: the input dataset gives the opportunity to generate information for the contaminated sites atlas (WMS Service)
Soil attributes |
Corresponding objects in the INSPIRE soil model |
1) contaminated sites atlas - Austria |
contaminated SoilSites (feature type) |
a) extend of the area, point location |
SoilSite: geometry |
b) name of the site |
PossiblyContaminatedSoilSite: localName |
c) land register identification number |
PossiblyContaminatedSoilSite: localName |
d) kind of contaminated site |
no matches |
e) kind of deposits |
PossiblyContaminatedSoilSite: wasteType |
f) description of the industrial and commercial activities |
PossiblyContaminatedSoilSite: contaminatingActivityType |
g) characterization of the pollutants |
ContaminatedSoilSite: investigatedChemicalParameter: InvestigatedChemicalParameterType: SoilParameterValueType |
h) current use |
SoilSite: SoilSiteParameter: SoilSiteParameterType: SoilParameterValueType linked to ObservableProperty, PhenomenonTypeValue and UnitOfMeasure which is part of OM_Observation (feature type) |
i) adoption in atlas |
SoilSite: validFrom |
j) status of pollution management (Austria) |
ContaminatedSoilSite: measureStage and measureTaken: MeasureTakenType |
k) date of status classification |
no matches |
l) description of further site information |
SoilSite: SoilSiteParameter: SoilSiteParameterType: SoilParameterValueType linked to ObservableProperty, PhenomenonTypeValue and UnitOfMeasure which is part of OM_Observation (feature type) |
B.12. Risk for drinking water wells by contamination
Soil and groundwater pollution may have many sources: industry, constructions, business areas, direct discharges in the soil, landfills, underground infrastructure like sewers, oil tanks, transport pipes, traffic, building activities, agricultural dispersion of manure, fertilizer and pesticides. The processes involved are calamities, intentional dispersion (pesticides, deicing salts), corrosion, wear, leakage, leaching and atmospheric deposition. For current activities soil protection measures like liquid proof floors, of process measures (closed systems) are or can be incorporated in permits for the activities. There is however a burden of historical soil contamination, consisting of diffuse polluted or contaminated areas and of more localized sites.
The Netherlands local authorities have made a joined effort to compose a nationwide inventory consisting of the description and mapping of all possibly polluted sites. Basis was a list of current and historical activities (UBI) with high risk of soil pollution. Archives and aerial photographs were used to localize the sites. The description includes references to type of activities, size of site, decisions made on investigations and management. Most municipalities collect this in a geographical soil information system. Generally there is a distinction in possible polluted sites (for which should be decided on the priority for investigation) and sites with ongoing actions. Since the baseline measurement in 2004 (of 425.000 sites) now about 40% of the sites are dealt with (after remediation or investigation only). Activities are ongoing on 20% of the sites and 40% is waiting for checks and investigations.
Any suspicion of soil pollution in a drinking water area should be reported to the ministerial environmental inspectorate (including calamities and crossing of threshold levels). After realization of the nationwide site inventory one of the checks for resulting risks of soil pollution was that of sites located in groundwater protection areas. These groundwater protection areas are established around drinking water extraction areas and based on the expected travel time of a mobile pollution from the surface to the drinking water extraction area (in 25, 50 and 100 years). It was found that 5,5% of the sites from the inventory were in groundwater protection areas. This may affect about half of the drinking water areas (79 of 194).
Not all sites involved are comparably relevant. Questions to be answered are about the chemical components involved (toxicity, mobility and amount), the proximity of to the drinking water well, the current state of the dispersion and the coincidence of more sites. The analyses lead to 2 drinking water areas with high risks, 36 with medium risks and 20 groundwater protection areas with high risks, and 15 with medium risks. Main polluting activities here were petrol service stations, dry cleaners and various industrial activities (metal works, wood conservation, building). The expected contaminating substances were checked in the database of chemical analysis of drinking water pumping stations. If 75% of the safe drinking water threshold level is crossed the EU Groundwater Directive demands measures to counteract the trend. In 14 such cases a connection could be made to pollution from petrol service stations and in 7 cases a connection to dry cleaners. This gave a point of departure for the counteracting measures (This is an early warning system, the wells were in danger but not yet unusable. Though the 75% of the threshold level was met not in all cases also the (100%) safe drinking water threshold level was crossed).
A decision should be made on the need of management, possibilities to counteract dispersion of pollution, or the closing of the drinking water well. This is the responsibility for the local authorities in cooperation with drinking water companies.
The relevance of the protection of drinking water is directly related to the protection of human- and ecological health.
RIVM-report 734301029 Bouwstenen Leiddraad Grondwaterbescherming (Components for a guidance document on groundwater protection) by S. Wuijts, J.F. Schijven, N.G.F.M van der Aa, H.H.J. Dik, C.W. Versluijs, H.J. van Wijnen (Bilthoven , The Netherlands 2007)
Use Case Description |
|
Name |
Recognition of polluted sites as cause of pollution of drinking water wells |
Priority |
Medium |
Description |
Polluted sites are one of the threats to drinking water provision. When threshold levels in water from pumping stations is approached the GWD demands that measures are taken to counteract the trend. To provide for this the recognition of close by polluted sites gives a point of departure to act. |
Legal foundation(s) |
EU Directive on the protection of groundwater against pollution and detoriation (2006 118/EC), National regulations for Ground water protection zones for drinking water. |
Pre-condition |
Inventory of polluted sites and knowledge on the pollution profiles of those sites. Measurements on water from pumping water stations. |
Flow of Events - Basic Path |
|
Step 1 |
Inventory and characterisation of polluting activities in past and present |
Step 2 |
Locate sites where polluting activities took place |
Step 3 |
Compare expected pollutants with found pollutants from drinking water wells to recognise adverse contribution of polluted sites on water quality |
Step 4 |
If polluted sites are found with passing thresholds levels, consider possible countermeasures on the site and/or on the path from the site |
Post-condition |
Improved soil and ground water quality and protection of drinking water quality |
Actors |
|
End-users |
|
Information provider(s) |
Municipalities, provinces |
Information processors(s)/Brokers |
Private and public data collection companies, Laboratories, consultancy companies |
Information Source Input |
|
Description |
Early warning system connecting data of soil pollution with data of drinking water wells |
Thematic scope |
Protection of drinking water provision from soil pollution |
Base datasets |
|
Data provider |
Provinces, municipalities, drinking water companies |
Scale, resolution |
Regional |
Documentation |
RIVM report 734301029/2007 |
External reference |
|
Information Source Output |
|
Description |
Selection of drinking water well art risk from soil pollution |
Thematic scope |
Protection of drinking water provision from soil pollution |
Base dataset(s) |
|
Data provider(s) |
Provinces, municipalities, drinking water companies |
Scale, resolution |
Regional |
Documentation |
RIVM report 734301029/2007 |
External reference |
Mapping of this Use Case 'Risk for drinking water wells by contamination' with the INSPIRE soil model of DS version 3.0
IMPORTANT NOTE this mapping still needs to be checked if it matches the latest version of the soil data model, as described in this document.
Source input dataset
Input datasets: REWAB (database of composition of water from extraction wells of the Netherlands central organisation of drinking water companies), LDB (Netherlands nationwide local soil and groundwater pollution inventory by provinces and municipalities)
Soil dataset |
Corresponding objects in the Inspire-Soil model |
Extraction wells positions
|
Can be included in: SoilSite.SoilInvestigationPurposeValue (= i.e. '50 year absortpion area of extraction well with known capacity') >SoilPlot InvestigatedChemicalParameter LegislationCitation.LegislationLevelValue |
Possible polluted sites and polluted sites (with existing dispersion risk based on substantial presence of chemical parameters, stage of investigation and pollution management)
|
|
Chemical parameters -toxicity -mobility -amounts |
-LegislationCitation.LegislationLevelValue
|
Output dataset: REWAB /LDB
Soil dataset |
Corresponding objects in the Inspire-Soil model |
(Possible) polluted sites in or near groundwater absorption areas with the same chemical parameters, encountered (or expected) in substantial amounts, as found in the water from the extraction well in levels higher than 75% of the threshold values
|
|
B.13. Ecological risk of soil contamination
In soil genesis the bio-weathering of rocks (breakdown by mosses, lichens, fungi, bacteria and plant roots growing on the surface of the rock) is one of the significant mechanisms, beside the physical weathering by wind, water and temperature changes (JRC 2010, p.38). Biological processes in the soil contribute to structure of the soil by the formation of a top layer, with its essential organic matter content, fertility and water storage capacity. The top layer is the contact plane of the soil with living people.
The formation of deserts shows the importance of a top layer with functioning biological processes for maintaining the levels of organic matter, nutrient and hydrological cycles and to prevent wind and water erosion. The formation of peat soils is the result of biological processes and provides a large carbon sink essential for climate sustainability. The inflow and outflow rates of water in the soil are essential in hydrological cycles, in which the soil acts as a regulating buffer. These rates and the buffer capacity are largely dependent on soil fauna and vegetation (soil structure/macro pores and leaf evaporation). These effects support climate sustainability and flood prevention. Biological activity in the rhizosphere supports fertility. In spite that the soil species are almost invisible and not inviting to be cuddled, the conclusion is that soil biology, is worth to be watched, studied and supported.
The soil ecology also plays a role in the assessment of soil contamination. To decide on the risk level of the contaminants, several effects are considered: human health, dispersion to ground water and/or surface water, ecological risks, economic risks (e.g. polluted agricultural products, suitability as building grounds). When a harmful level of pollutants is found over a substantial area the consequence is, or should be, soil cleaning or management measures to reduce exposure levels and/or the mobility of the contaminants.
Generally the assessment of a site starts by comparison of contamination levels found in a soil investigation over a substantial area with the threshold values. These threshold values incorporate both the effects on objects of interest and the expected level of exposure. The objects can be humans or ecological objects[23]. The objects and exposure levels may vary for each site. The start is usually a generic approach on the basis of general models for the mobility of contaminants (connected with classes of land use) and the exposure of the involved objects. After the generic approach there can be an agreement on action or a discussion on the need and expenses. In the latter case a more location specific approach can help. The process of the derivation of threshold levels and of the location specific investigations are split up in human effects, ecological effects and mobility/dispersion levels. The reason for the latter is drinking water protection but also the protection of neighboring lands and an expected increase in cleaning costs as a result of the dispersion of pollutants. In this use case description we consider the ecological risks only.
To evaluate the ecological risks the Netherlands developed a system based on the potentially affected fraction of multiple species (MS-PAF, see Posthuma and Suter in Swartjes, 2011). Data on the effect of chemical components on species are collected and combined (in the form of SSDs –species sensitivity distributions) to make estimations of the concentration level for which 5% of all species present (and/or SSD available) are adversely affected (to obtain the baseline level) or the level for which 50% of the species are adversely affected (to obtain the threshold level –related to ecology). The data on the sensitivity of soil organisms for chemical compounds are obtained from databases like the American ETOX Database (http://cfpub.epa.gov/ecotox/) of the EPA and the Dutch e-toxBase (http://www.e-toxbase.com/default.aspx) of RIVM. The developed model and necessary data are integrated in the Sancrit system (with parallel developments for human risks and dispersion). To make a formal decision on the need of site remediation or management based on detailed site investigations, the use of the Sancrit system for the evaluation of risks is obligatory in the Netherlands,.
After a first generic approach a discussion may raise on the need of remediation/site management - this considering the costs. This is often emphasized when the main reason for action is the ecology. For such cases, where the evaluation is focusing on ecological effects, the Triad-method (Jensen, Mesman eds, 2006) has been developed. This method aims to give a systematic evaluation of the more detailed studies on ecological effects. This method combines the results of three types of investigation:
-
Chemistry: measuring the of levels of chemical components in the soil;
-
Toxicology: bioassays (laboratory tests with e.g. plants, earthworms);
-
Ecology: field observations (condition and variation of soil organisms, plants, trees).
Figure 8: Schematic presentation of the Triad
The basis of the Triad method is to compare results from a polluted site with the results from a non-polluted site with similar soil characteristics. An alternative is to compare the observations of soil organisms with available data on soil organisms obtained from numerous soil samples taken throughout The Netherlands and collected in the RIVM Soil biology –database (in preparation to go online, see also Rutgers, Mulder, Schouten, 2008 for characterizing reference situations).
The Triad method assists to provide a 'Weight of Evidence' of the ecological effects from the three types of investigation. Like other methods for soil surveys and investigations the Triad method can be applied in a stepwise (tiered) way, from simple to more elaborate methods and investigations, in order to exploit the research in a cost-effective manner.
Output of the Triad method: risk evaluation of the soil samples B and C (with sample A as clean reference) by 'Weight of evidence' of the chemical, toxicological and ecological investigation.
The main subject of ecology is the description of existing communities, e.g. plant communities, food webs, the way in which these communities shape the environment and their use and importance from the human viewpoint. For the expression on the surface this topic is most probably covered by the TWG Land cover. For the part that takes place in the soil this should be considered the topic of the TWG Soil. For the construction of the aspired data structure on soil by TGW Soil it is important which quantitative measurements of biological parameters on soil ecology and soil eco-toxicology may be encountered. The list below gives a general structure:
-
the number of certain organisms in a volume of soil, pore water or connected with a certain surface [abundance per m2 and taxonomic count per 100 individuals]. Examples are the biomass and number of species like earthworms, nematodes (or eelworms), micro-arthropods (mites, spiders and insects like springtails), microbes, algae, fungi (to be subdivided by the specialization in feeding on wood, dung, litter or association with roots); additionally the biomass of roots or root density (or length and branching). More examples of specimens can be found in: the online European Atlas of Soil biodiversity, JRC 2010);
-
the measurement of general macro-parameters specific for biological performance, like the rate of natural decay of organic materials – carbon mineralization [typical in mg /ha /week], certain general enzyme activities in soil, soil breathing and or general genetic diversity analysis;
-
the availability of contaminants to plants, soil organisms, earthworms, as sampled in the field or in controlled studies of bioassays (i.e. in material from plants potted in soil from a site and grown in standard conditions or with soils spiked with selected contaminants that were encountered in the field, ignoring the complete mix of pollutants and the 'ageing' of the pollution which may effect the availability) [unit: mg/kg dry weight of selected plant material (i.e. leaves, stems, bulbs, roots), for crops of edible plant material] or alternatively with simulated '(bio)availability tests' (i.e. with Ca-solutions of standard dilution) [unit in mg/kg dry weight of soil];
-
decay of organic pollutants by micro-organisms or plants (phytoremediation) [unit mg/kg ds /year];
-
effect of pollution on organisms (germination rate, phytotoxicity as measured by growth rate or chlorophyll content) and the effects of pollutants on plant cover and wild life in the field, decline of valued species (e.g. decline of birds of prey as a result of pesticide residues) [species count], but also adaptation of ecosystems (e.g. more nettles).
These surveys and studies are related to agricultural fertility assessment. An important issue is the valuation of ecological effects and ecosystem changes. In the Triad method similar sites that are not polluted are used as a benchmark. The concept of ecosystem services relates ecosystem performance to usefulness (see: Rutgers, Mulder, Schouten, 2008 and JRC, 2010, p.37 and p.48).
References:
Jensen J ; Mesman M. (eds), 2006; Ecological risk assessment of contaminated land - Decision support for site specific investigations. RIVM-report 711701047 ;with contributions of Jensen J ; Mesman M ; Bierkens J ; Loibner A ; Rutgers M ; Bogolte T ; Celis R ; Dirven-van Breemen EM ; Erlacher E ; Ehlers C ; Hartnik T ; Sorokin N ; Laak T ter; (RIVM-National Institute of Public Health and the Environment, Bilthoven, The Netherlands and National Environmental Research Institute, Silkeborg, Denmark , 2006).
Swartjes, F.A. (ed), Dealing with contaminated sites, from theory to practical application, Part IV Ecological aspects (Springer, 2011), ISBN: 978-90-481-9756-9
Rutgers M., Mulder C., Schouten T (eds), 2008 - Soil ecosystem profiling in the Netherlands with ten references for biological soil quality. RIVM report 607604009/2008 (and the preceeding RIVM report 607604006/2004)
JRC 2010, European Atlas of Soil Biodiversity (JRC Joint Research Center European Commission, IES institute for Environment and Sustainability)- EUR24375 EN
(except for the book by Swartjes these reports and the atlas can be downloaded by clicking on the provided links)
Use Case Description |
|
Name |
Ecological risk of soil contamination |
Priority |
Medium |
Description |
MS-PAF method for the foundation of the ecological part of the generic intervention value and the Triad-method: using 'Weight of Evidence' of three research fields (chemistry, toxicology, ecology) to make site-specific evaluations of the ecological risk of soil contamination |
Legal foundation(s) |
Ministerial Circular letter on soil remediation (2006, revised 2008, 2009), connected to the Dutch law on soil protection |
Pre-condition |
MS-PAF: knowledge of levels of biodiversity and decision on general goal (e.g. protection of 50% of the species). Triad methode: site with contaminated soil for which ecological effects are expected but the knowledge of the effects is considered as insufficient to decide on the need of soil cleaning/management measures. |
Flow of Events - Basic Path (MS-PAF method) |
|
Step 1 |
General knowledge of the sensitivity of soil organisms for contaminants. |
Step 2 |
Chemical analyses of soil |
Step 3 |
Integration of the results obtained in step 1 and 2 |
Post-condition |
Ecological risk level has been determined on a generic level |
Flow of Events - Basic Path (Triad method) |
|
Step 1 |
Chemical analyses of soil |
Step 2 |
Toxicology tests (bioassays) |
Step 3 |
Field observations (soil organisms, plants, trees) |
Step 4 |
Integration of the results obtained in step 1 to 3 |
Post-condition |
Ecological risk level has been determined on a site-specific level |
Actors |
|
End-users |
|
Information provider(s) |
Consultancy companies, laboratories, chemists, biologists |
Information processors(s)/Brokers |
Laboratories, consultancy companies |
Information Source Input |
|
Description |
|
Thematic scope |
Soil, land use, ecology |
Base datasets |
|
Data provider |
|
Scale, resolution |
Regional (10.000 and up) |
Documentation |
Jenssen, Mesman, 2006 Swartjes (ed), 2011 Rutgers, Mulder, Schouten (eds), 2008 JRC 2010, (see references ) and Standard list of substances for environmental investigations to soil and sediments, as declared on may 30, 2008. A production of SIKB, NEN and Bodem, related to the Dutch investigation standards NEN 5740 and NVN 5720. |
External reference |
|
Information Source Output |
|
Description |
Ecological risk assessment of soil contamination |
Thematic scope |
Decision to take action on a site with soil contamination |
Base dataset(s) |
ETOX (USA and Netherlands)- for sensitivity of soil organisms to soil contamination and SOIL Biology for comparison with normal levels for non-polluted sites |
Data provider(s) |
USEPA, RIVM-Netherlands |
Scale, resolution |
Area with comparable soil ecology |
Documentation |
See websites Etox and Sanscrit, , downloadable RIVM report on Triad method by Jensen, Mesman 2006. |
External reference |
Mapping of the Use Case 'Ecological risk of soil contamination' with the INSPIRE soil model of DS version 3.0
IMPORTANT NOTE this mapping still needs to be checked if it matches the latest version of the soil
data model, as described in this document.
Source input dataset
Input datasets: Provincial and municipal soil quality data systems
Soil dataset |
Corresponding objects in the Inspire-Soil model |
Soil site identification |
|
Chemical parameters levels in soil, groundwater and surface water |
- InvestigatedChemicalParameter |
Bioassays (toxicology tests on soil from a site) |
SoilSite>SoilSiteParameterType Procedures and values >"Observations and measure ments" |
Field observations |
SoilSite>SoilSiteParameterType Procedures and values >"Observations and measure ments" |
Soil map |
SoilSite>SoilPlot |
Groundwater levels |
"Geology" |
Surface water level monitoring |
"Hydrography" |
Output dataset Provincial and municipal soil quality data systems
Soil dataset |
Corresponding objects in the Inspire-Soil model |
Risk type value Decision to manage soil pollution (or not) Proposed measures |
|
B.14. Contamination in relation to property
The law in the Netherlands demands that with property transfer of real estates a report on the soil quality is generated. According to the law the seller has a duty of giving information and the purchaser has a research duty. This generates questions by private citizens and real estate brokers to local authorities about the know pollution status of sites.
Local authorities on soil quality are the provinces and a selection of the larger municipalities. Each local authority has a geographical Soil Information System (SIS) connected with databases with information about the soil quality. These SIS databases contain information connected with the location of properties: soil investigations and historical information about activities and possible used fuel tanks at the site.
General information can be found free on www.bodemloket.nl. On payment some municipalities have more detailed reports available on request, generally on request of real estate brokers. Commercial parties may provide reports on general environmental data for a location, including soil information.
A report provided for the transaction contains information about the following aspects:
* General properties of the site like address, cadastral number, area and geographical information.
* All available information on the location based on historical surveys.
* Soil investigations, underground fuel tanks and data concerning activities from companies on the site.
* Environmental quality of the direct surroundings of the site. This part gives information about all soil-related activities in a range of 25 meters around the research location.
* General information about the used terminology and an explanation at the information on environment quality.
An example of a report on soil pollution for real estate brokers
A. Data about the site BW0033370
A1. Overview historical soil threatening activities
At this moment no historical soil threatening activities has been reported.
A2. Overview investigated sites
There are no soil investigations conducted.
A3. Overview present underground fuel tanks
There are no underground fuel tanks present.
B. Data in a range of 25 meters around the site BW0033370
B1. Overview historical soil threatening activities
At this moment no historical soil threatening activities have been reported.
B2. Overview investigated sites
Site 'KAT Kennemer Air Treatment' (fictional)
The research location has been registered under the name: |
KAT Kennemer Air treatment (AA037503491) |
||
The location has been registered under the address: |
Koninginnestraat 131 |
||
On the basis of the available information the status of the location is: |
Seriously polluted, not urgent to remediate |
||
On the location the next formal decision has been given |
Seriously polluted, not urgent to remediate |
||
On the basis of the available information the location has got next follow up status:: |
Sufficiently investigated and, no follow up necessary |
||
Type of investigation |
Date research |
Result research with regard to law of soil protection |
|
Ground |
Groundwater |
||
Remediation evaluation |
- |
Unknown |
Unknown |
Remediation plan |
1995-01-06 |
Unknown |
Unknown |
Remediation investigation |
1993-01-01 |
>I |
Unknown |
Closer investigation |
1992-03-01 |
>I |
>S |
Exploratory survey |
1987-11-01 |
>I |
>T |
Legend
< S |
No raised concentrations of contaminants |
S |
Lightly contaminated (reference value), <T |
T |
Moderately contaminated (between value), <I |
I |
Seriously polluted (intervention value) |
Unknown |
No information available |
B3. Overview present underground tanks
Tank location TB037500154
The tank location is known under the name: |
TB037500154 |
||||
The tank location is registered on the following address: |
Breestraat 210 |
||||
Soil pollution |
|||||
On the location the following underground fuel tanks are present |
|||||
Volume(l) |
Description |
Remediated |
Date of remediation |
Kiwa registration |
Remediation method |
Domestic fuel oil |
No |
||||
Remarks: not in use |
Parameters measured in an investigation to soil pollution
In the Dutch standards the following parameters are measured in a routine measurement in soil (for general soil quality certificates and at suspicion of soil contamination) by sampling and analysis:
Analyses on soil samples
-
General soil properties: percentages of organic matter and clay particles.
-
Metals: Barium, Cadmium, Cobalt, Copper, Mercury, Lead, Molybdene, Nikkel, Zinc (in older versions also Arsenic and Chromium – now only in sediments, but not Barium, Cobalt, Molybdene).
-
Organic substances: Sum of PCBs[24], SUM of PAHs[25], mineral oil, EOX (extractable organic halogenated carbons[26])
When the number of substances that give problems is known to be smaller, as may follow from the first surveys, detailed investigations can be completed with a narrowed set of parameters.
In groundwater the standard range of analyses covers the same metals and for
organic substances: mineral oil, volatile aromatic hydrocarbons[27], volatile halogenated hydrocarbons[28].
In sediments and soils recently originating from sediments or with recently added sediments, the set of parameters is like the parameter set for soils. However, dependent of the use/dispersion in salt or sweet waters, there are some omissions and additions in the standard. General additions are:
-
Metals: also Arsenic, Chromium
-
Organic substances: pesticides (like drins and HCHs- also from pesticide production waste, DDT, DDD, DDE) and a range of chlorinated compounds (i.e. hexachloorbenzene) and tributyltin (antifouling paint for ship hulls).
For the analysis of risks from soil pollution also samples of various other media may be taken, i.e. of crops, poultry, milk, dust in residences, volatile compounds in the air of cellars and ground level crawling spaces.
For risks related to ecology sampling and analysis will be different. See the use case description 'Ecological risk of soil contamination' and for the risk to ground water for drinking water see 'Risk for drinking water wells by contamination'.
When encountering some specific polluting activities the standard parameters are extended, examples are:
-
Cyanides in former gaswork areas (city gas)
-
Volatile organic hydrocarbons (in soil air) for petrol service stations.
-
Asbestos in areas selected by the asbestos protocol (demolition of certain buildings, raised land and roads near former asbestos industries).
-
Pesticides near agricultural storage facilities (or pesticide production and storage facilities).
Other reasons for addition of substances may be visual inspection or smell observations by experienced observers. Also knowledge of the processes that took place on the site and knowledge of the amounts of chemicals used as found in archive surveys may be of help to characterize the pollution mix present.
An extended list of threshold values to decide on the need of soil cleaning or protection measures is available in the Circular letter on soil remediation, 2009.
Beside the method of sampling and analysis also on site measurements may give guiding information or additional information (handheld XRF- Röntgen fluorescence for contamination with metals or manure).
References:
Ministerial Circular letter on soil remediation (2006, revised 2008, 2009), connected to the Dutch law on soil protection
Standard list of substances for environmental investigations to soil and sediments, as declared on may 30, 2008 (Standaard stoffenpakket bij milieuhygienisch (water-) bodemonderzoek vastgesteld 30 mei 2008). A production of SIKB, NEN and Bodem, related to the Dutch investigation standards NEN 5740 and NVN 5720.
Use Case Description |
|
Name |
Contamination in relation with sale of properties |
Priority |
Medium |
Description |
The law in the Netherlands demands that with property transfer of real estates a report on the soil quality is generated. Each local authority on soil quality (provinces and municipalities) has a geographical information system on the soil quality. This contains information about the site properties, soil investigations and historical information about activities and possible used fuel tanks at the site. |
Legal foundation(s) |
National regulations for property transfer of real estates. |
Pre-condition |
Measurements and observations on soil and ground and surface water. |
Flow of Events - Basic Path |
|
Step 1 |
Record geographical information of location |
Step 2 |
Record the soil investigations and remedation actions on and near the site. |
Step 3 |
Record the presence of used fuel tanks on or near the site. |
Step 4 |
Present if available the historical activities on the site. |
Actors |
|
End-users |
|
Information provider(s) |
Provinces, regional and local government |
Information processors(s) |
Private and public data collection companies, Laboratories, consultancy companies |
Information Source Input |
|
Description |
|
Thematic scope |
Soil status |
Base datasets |
|
Data provider |
Soil bureaus Water authorities Environmental agencies |
Scale, resolution |
Regional (50 m2 and up) |
Documentation |
Wet bodembescherming – Netherlands Law on soil protection Ministerial Circular letter on soil remediation (2006, revised 2008, 2009), connected to the Dutch law on soil protection Standard list of substances for environmental investigations to soil and sediments, as declared on may 30, 2008. A production of SIKB, NEN and Bodem, related to the Dutch investigation standards NEN 5740 and NVN 5720. |
External reference |
|
Information Source Output |
|
Description |
Output will represent , usually in a report with a map where restriction zones and limitations are present |
Thematic scope |
Soil status |
Base dataset(s) |
|
Data provider(s) |
Provinces, regional and local government |
Scale, resolution |
Regional (50 m2 and up) |
Documentation |
Law of soil protection |
External reference |
www.bodemloket.nl |
Mapping of the Use Case 'Contamination in relation to property' with the INSPIRE soil model of DS version 3.0
IMPORTANT NOTE this mapping still needs to be checked if it matches the latest version of the soil data model, as described in this document.
Source input dataset
Input datasets: Provincial and municipal soil quality data systems
Soil dataset |
Corresponding objects in the Inspire-Soil model |
Soil site identification |
|
Previous soil investigations |
- PossibleContaminatedSoilSite.InvestigationState Value |
Measures and planning |
|
Historical activities |
- PossibleContaminatedSoilSite.Contaminating ActivityType |
Used fuel tanks |
- PossibleContaminatedSoilSite.Contaminating ActivityType =… |
Soil map |
SoilSite>SoilPlot |
Soil and water (groundwater and surface water) sample analysis –chemical parameters |
- Procedures and values >"Observations and measure ments" |
Applicable threshold values |
-LegislationCitation.LegislationLevelValue |
Output dataset Bodemloket (Soil counter) /report to prospective property buyer
Equal to input set
B.15. State of soil in Europe
Internationally and nationally focus is on the change of state of soils (e.g. EUR 25186 EN, 2012). This information is used in the debate around different environmental, agricultural and climate related themes. For the characterization of the soil state and the soil development there is a need for a systematic soil monitoring approach. Most of the member states practice a nationwide monitoring network: Austria, Belgium, Bulgaria, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Lithuania, Latvia, Malta, Northern Ireland, Netherlands, Poland, Portugal, Romania, Scotland, Slovenia, Slovakia, Spain, Sweden, UK (ENVASSO, 2008).
Therefore the central aim of a monitoring network with fixed large or minor time steps is to give a documentation of the state and trend about soil related data and properties with the highest repetitious accuracy and standardization. In this sense monitoring data provide the opportunity to describe and asses the most important soil threats at a fixed time step for a nationwide purpose. Therefore the data should be suitable to advance the European Soil Strategy on the appropriate scale.
The only European wide integrative monitoring network is the ICP forest soil monitoring.
The other monitoring networks deal with minor different purposes and strategies. Often the purpose is to describe the soil quality with parameter groups of nutrients, heavy metals, organic pollutants (in general pollutants), soil contamination and rarely soil physical data, soil erosion or soil biodiversity. Sometimes the purpose is to describe the soil types and to derive soil variety.
In many cases the most important thing of a monitoring, the sampling in fixed time steps is given and European wide exist several number of campaigns.
In addition soil monitoring data allow an estimation of the success of environmental measures, the validation of modelling (climate change, nutrients, deposition e.g.), scientific research projects and also well know sites for several purposes (licensing proposes, threshold derivation). Due to the fact of an appropriate interpretation the results may contribute the development of methodologies to restrict degradation of landscape, apply standards of sustainable development in agriculture (e.g. nutrient balance) and European, national, regional or local strategies of soil (environmental) protection and prevention. The systematic monitoring approach provides the warranty to derive the state and development of soil organic carbon and related to this the national Kyoto reporting. In general, soil monitoring is the central element for environmental monitoring.
Due to the complexity of deriving soil related data a lot of stakeholders with different requirements on different levels but in the end similar aims participates (e.g. EU, member states, federal states, interest groups, companies, consulting networks, universities, public). The different stakeholders deal and work with the soil related monitoring data in a different manner and a different degree of strength (e.g.: generator, owner, users).
Use Case Description |
|
Name |
Soil monitoring in Europe. |
Priority |
High |
Description |
Member States provide soil related monitoring data to characterize soil state, soil quality and soil development in order to describe the influence of anthropogenic activities on soils |
Legal foundation(s) |
legislations of the member states and improve the legislation of the member states, improve the European soil strategy, environmental reporting of the member states (e.g. Kyoto reporting – soil carbon state) and environmental reporting of the European authorities (e.g. SOER) |
Pre-condition |
field samples have to be taken in systematic time steps and with repetitious accuracy as well as in analytics |
Flow of Events - Basic Path |
|
Step 1 |
member states collect and store the harmonised raw data |
Step 2 |
member states make further assessment with the raw data |
Step 3 |
member states give a report on aggregated data, interpreted data and specific questions |
Step 4 |
member states make the results available |
Post-condition |
stakeholder and interest groups can use the results (not raw data) for further investigations, reporting and policy development |
Actors |
|
End-users |
|
Information provider(s) |
Member States |
Information processors(s)/Brokers |
Member States authorities responsible for providing nationwide aggregated and interpreted data |
Information Source Output |
|
Description |
|
Thematic scope |
soil, climate, land cover/use |
Base datasets |
|
Data provider |
Member States authorities |
Scale, resolution |
from point locations up to national scale, depends on national focus und specific interpretation |
Documentation |
|
External reference |
Member States authorities web sites |
Information Source Input |
|
Description |
|
Thematic scope |
|
soil, climate, land cover/use, climate |
Base dataset(s) |
as point maps and/or databases |
Data provider(s) |
Member states authorities on different levels and different responsibilities |
Scale, resolution |
point locations |
Documentation |
|
External reference |
Mapping of the Use Case 'State of soil in Europe' with the INSPIRE soil model of DS version 3.0
IMPORTANT NOTE this mapping still needs to be checked if it matches the latest version of the soil data model, as described in this document.
Input dataset: Member States soil monitoring network or single inventories
Soil attributes |
Corresponding objects in the INSPIRE soil model |
1) Soil site description |
SoilSite (feature type) |
a) extend of the area, point location |
SoilSite: geometry |
b) name of the location, internal ID |
SoilSite: SoilSiteParameter: SoilSiteParameterType linked to ObservableProperty, PhenomenonTypeValue and UnitOfMeasure which is part of OM_Observation (feature type) |
c) investigation purpose |
SoilSite: soilInvestigationPurpose: SoilInvestigationPurpoeValue |
d) establishment of the soil site |
SoilSite: validFrom |
e) e.g. land use category |
SoilSite: SoilSiteParameter: SoilSiteParameterType: SoilParameterValueType linked to ObservableProperty, PhenomenonTypeValue and UnitOfMeasure which is part of OM_Observation (feature type) |
f) e.g. vegetation category |
SoilSite: SoilSiteParameter: SoilSiteParameterType: SoilParameterValueType linked to ObservableProperty, PhenomenonTypeValue and UnitOfMeasure which is part of OM_Observation (feature type) |
2) Soil plot (observation point) description |
SoilPlot (feature type) |
a) name of the location, reference to coordinates |
SoilPlot: soilPlotLocation |
b) kind of the observation |
SoilPlot: soilPlotType |
3) Soil profile description |
ObservedSoilProfile/ SoilProfile (feature type) |
a 1) characterization of the soil type |
SoilProfile: WRBSoilName: WRBSoilNameType; WRBQualifierGroup |
a 2) characterization of the soil type |
SoilProfile: otherSoilName: OtherSoilNameType |
b) local or internal ID of the profile |
SoilProfile: localIdentifier |
c) any property that is observed to characterize the soil profile (e.g. available water capacity or potential root depth) |
SoilProfile: soilProfileParameter: SoilProfilParameterType: SoilParameterValueType linked to ObservableProperty, PhenomenonTypeValue and UnitOfMeasure which is part of OM_Observation (feature type) |
4) Soil horizon/soil layer description |
ProfileElement (feature type) |
a) characterization of the upper and lower depth of the observed profile element (horizon, layer) |
ProfileElement: profileElementDepthRange: RangeType |
b 1) characterization of the horizon |
SoilHorizon (feature type): FAOHorizonNotation: FAOHorizonNotationType |
b 2) characterization of the horizon |
SoilHorizon (feature type): otherHorizonNotation: OtherHorizonNiotationType |
c) characterization of a layer type (e.g. topsoil or a specific depth interval) |
SoilLayer (feature type): layerType |
d) characterization of the rock type |
SoilLayer: (feature type): layerRockType |
e) characterization of the non-pedogenic processes |
SoilLayer (feature type): layerGenesisProcess |
f) characterization of the particle size |
ProfileElement (feature type): particleSizeFraction: ParticleSizeFractionType |
g) any property that is observed to characterize the state of soil (e.g. soil organic carbon, content of lead or bulk density) |
ProfileElement (feature type): profileElementParameter: ProfileElementParameterType: SoilParameterValueType linked to ObservableProperty, PhenomenonTypeValue and UnitOfMeasure which is part of OM_Observation (feature type) |
Output dataset: in first instance the aggregated information of the soil monitoring network or single inventories (but not the raw data) in line with the above displayed mapping of the input dataset and in second instance evaluations based on the input data (e.g. soil typological units, soil properties evaluations e.g. soil texture of the topsoil)
Soil attributes |
Corresponding objects in the INSPIRE soil model |
1) Soil typolocical Units |
SoilBody (feature type) |
a) characterization of the soil profile, based on the observed profiles |
DerivedSoilProfile |
b) extend of the typological unit |
SoilBody: geometry |
c) name of the typlogical unit |
SoilBody: soilBodyLabel |
2) Soil properties evaluation |
SoilDerivedObject (feature type) |
a) extent of soil related properties which can derived directly from the observed soils and properties |
SoilDerivedObject: geometry |
b) soil related properties which can derived directly from the observed soils and properties |
SoilDerivedObject: soilDerivedObjectParameter: SoilDerivedObjectParameterType: SoilParameterValueType linked to ObservableProperty, PhenomenonTypeValue and UnitOfMeasure which is part of OM_Observation (feature type) |
Annex C: Code list values (normative)
INSPIRE Application Schema 'Soil'
Code List |
LayerGenesisProcessStateValue |
LayerTypeValue |
ProfileElementParameterNameValue |
SoilDerivedObjectParameterNameValue |
SoilInvestigationPurposeValue |
SoilPlotTypeValue |
SoilProfileParameterNameValue |
SoilSiteParameterNameValue |
WRBQualifierPlaceValue |
WRBQualifierValue |
WRBReferenceSoilGroupValue |
WRBSpecifierValue |
LayerGenesisProcessStateValue
|
LayerTypeValue
|
ProfileElementParameterNameValue
|
SoilDerivedObjectParameterNameValue
|
SoilInvestigationPurposeValue
|
SoilPlotTypeValue
|
SoilProfileParameterNameValue
|
SoilSiteParameterNameValue
|
WRBQualifierPlaceValue
|
WRBQualifierValue
|
WRBReferenceSoilGroupValue
|
WRBSpecifierValue
|
Annex D: Soil Data Model Extensions (informative)
D.1. Soil Contamination
Orientation
Soil pollution is one of the recognized soil threats in the EU Soil Thematic Strategy and may have effects on human health, land development potential, drinking water resources and this may lead to economic stagnation of areas. Also a healthy soil is important for climate regulation, water management and agricultural economy. The value to collect information on the extent of soil pollution and other soil threats is that it may help to define and facilitate measures to promote human health, drinking water protection, environmental protection, food safety. Not the least, its gives insight into the additional financial risks of pollution for future land development, building activities and infrastructural works.
The UML data model for soil has provisions to include the results of soil investigations into physical and chemical parameters, the latter including potentially contaminants. The example of an extension of the UML data model described here is meant to give the opportunity to include the formal conclusions and management results on contaminated sites. As procedures and threshold values of contaminants may differ for each member state an approach on headlines is followed.
The UML-model on contaminated sites demonstrates the extensibility of the UML data model for soil and the connection with other products of the Inspire thematic working groups. It aims to get an overview of the most important activities regarding (local) soil and groundwater contamination in the member states without interfering with regulations and planning in each member state. Being an example of the use and extendibility of the soil model it has no implication of obligations for the Member States.
Introduction
The UML-model on contaminated sites (see Figure 9) is limited to: gett ing an overview of the work done and the work going on in the field of local soil and groundwater contamination in the form of investigations and soil site management measures.
Figure 9: UML class diagram: Soil Contamination
For a description of all objects in this UML class diagram see the Feature Catalogue Section D1.1.
Figure 10 gives an overview which items are in the data model and which items are purposely left out of the data model to make it fit for getting an overview on this important topic without interfering in the member states rights to protect the soil in the ways they consider fit for the specific local circumstances and regulations.
Figure 10: Overview of the items inside the data model and the items which are purposely left out of the data model.
The model does not go into details of the investigations, only into the endpoints: the main decisions made on basis of the investigations and similarly for site management the model goes into main phases and main results of site management.
The intention is to focus is on the data of contaminated sites (soil and/or groundwater) and not on possibly/potentially contaminated sites. A site is considered possibly/potentially contaminated here as long as the investigations and decisions of the appointed authorities have not led to a verdict 'contaminated' or otherwise (see Figure 10). Which sites are to be included in 'possibly contaminated sites' to start with the investigations depends of the level of suspicion of the site and the ambitions, rules etcetera of the appointed authorities. General considerations may be to include a site if experience has learned that the possible contaminating activity has usually a high follow up in necessary measures and also to include sites urging for investigation after confirmed civil complaints or resulting from known calamities. No obligating rule is implied and which sites to include here is up to the member states or it’s appointed local authorities. The information which sites are in investigation should give insight in the approach of a member state in an earlier stage than after completion of the often long trajectories of investigation and management procedures.
Generalized site investigation and site management procedures
Generally a site is considered contaminated if chemical parameters have values above threshold values in a sufficiently large area. The threshold values indicate that an exposure level can be expected that may lead to risks for humans or have adverse effects on ecosystem services or resources on and around the site. The level of these risks depends on land use, the presence of objects at risk, the probability of exposure and dispersion routes. The threshold values are based on a generalized (generic) exposure and dispersion modeling and effect estimations, but they may, in specific situations, be overruled by outcomes of further investigations.
Some contaminants, e.g. metals may be present on a natural background level. Also diffuse manmade contamination in low levels may contribute to a background level. Generally the background level is not considered to give adverse effects or it is not feasible to take other actions on it than considering restrictions in land use planning.
The investigations on a possibly contaminated site may involve the contaminant identification, levels and distribution in soil, groundwater, surface water, sediments, plants, animals, humans. Generally a tiered investigation procedure is followed, initially to confirm or deny a suspicion of serious contamination in soil and groundwater (the preliminary investigation). A resulting confirmation will justify a larger investigation effort (the main site investigation) to assess levels of contamination and the size of the contaminated area. A tiered investigation procedure is not essential for the data model, but still it will often be applied and it can be handled in headlines as shown in Figure 11. Details of investigations like exposure, dispersion, contamination of produce, ecological effects, physical and biological processes in the soil may play a role but are as such not a part of the data to be explicitly included in this model.
For each step in the tiered procedure screening values specific for this step can be applicable. After assessment of the hazard (the presence of contamination, its level and the size of the area), the investigation is focused on the assessment of the risk, the dispersion and the effectiveness of possible measures.
The remediation and site management may involve temporary protection and restriction measures, cleaning or partial cleaning (of the contamination sources or of kernels with high contamination levels) over longer or shorter periods, change of land use, or isolation or immobilization of the contaminants and may include aftercare. Aftercare may consist of maintenance of physical provisions and land use restrictions or monitoring of contamination levels and dispersion rates of the contaminants.
Figure 11: Tiered approach on headlines of the investigation and management of sites with possibly contaminated soil and/or groundwater. Starting on the top and going down following procedures for investigations and management.
Figure 11 gives an overview of the generalized procedure. Each investigation may lead to the conclusion that the site is not contaminated and no further investigation is needed or to the conclusion that a further investigation is needed. Generally the decision that a site is contaminated falls after the final verdict on the contamination levels and the size of the contaminated area in the main site investigation.
In a national set procedure an indicated investigation may involve several steps. The main dividing lines proposed here for investigation stages are (1) the historical investigation into knowledge from administration and archives (into types of activities and processes, periods, known calamities, spills, former complaints, type and volume of chemicals used), or for calamities an administrative investigation into the amounts of chemicals involved (2) the preliminary soil investigation to confirm that contamination is present in substantial levels and a more expensive main site investigation is advised or necessary and finally (3) the main site investigation. The characteristic of the main site investigation is that it gives the necessary information on the site contamination on which the appointed authority including other considerations can give the verdict that the site is contaminated or not, and consequently prioritize and plan site management. The type of measures to be taken are elaborated in (4) the 'investigation into measures and planning'.
Restrictions of the model
The approach of the model is to include local contamination of soil and groundwater (excluding soils permanently under water); to concentrate mainly on local contamination and not diffuse contamination. Another restriction is to concentrate mainly on soil and groundwater pollution on a site and not on the complete soil water system in which parts of the site may consist of surface waters and underwater soil or may consist of controlled dump sites or other special areas (e.g. of archeological value). Border areas are indicated but not elaborated here.
Regarding the complexity the envisioned organizational setup to facilitate the tackling of soil contamination here is (1) a national law defining investigation procedures and general threshold values, (2) regional additional rules in relation to planning and background values and (3) local implementation of risk and dispersion assessments in relation to land development and soil quality ambitions. The organization of responsibilities between national, local and regional authorities in a member state is not decisive for the use of the data model. Instead it can be adopted by the data model.
Each site in Figure 11 may be considered 'possibly contaminated' (or 'potentially contaminated') as long as it is not concluded that the site is not contaminated and no further investigation is needed. It is finally considered 'contaminated' after confirmation in a main site investigation or after a verdict by the appointed local authority based on the results of the main site investigation. Figuratively speaking the 'possibly contaminated sites' lay directly behind the gate through which "sites to be investigated" enter. It is up to the regulations and planning of the member states which sites will enter.
The 'possibly contaminated sites' may also contain the results of an inventory of possibly contaminating activities. The decision on the feasibility and depth of such an inventory is actually left to the member states or its local or regional authorities. It should be considered that it can be performed on various levels considering e.g. ambitions, economic situation and budget available, political pressure and the pressure of land development and building activities. An effort to make a complete inventory of possibly contaminating sites may give insight into the extent of the problem, but when done too thoroughly may also lead to the checking of large numbers of sites finally resulting in small percentages of sites considered to be seriously contaminated. Focusing first on known sites with soil pollution problems and sites with high suspicion may be more feasible and help to get the information on the site on the time when needed and not as possibly expired data. This means generally that a long term continuous effort will be needed, but beside the costs also this effort will yield benefits in terms of welfare and economic progress like a more healthy living environment, improved food and drinking water safety, useable groundwater to be extracted for industrial uses with the aim of human consumption, sustainable resources management and canceling out economic stagnation caused by land unfit for intended use because of soil pollution (especially in urban areas).
It is proposed not to focus on 'possibly contaminated sites' but consider contaminated sites (after the main site investigation) as the main component of a data collection, including all sites in subsequent management phases including aftercare. It is advised to generally keep sites once found to be contaminated in the system, especially when the problem is partially solved, with consequences like aftercare and use restrictions. The preservation of information may also prevent repetition of investigations.
Short description of the model
The main entities in the model are a 'possibly contaminated site' and a 'contaminated site' (see Figure 12). A possibly contaminated site may have several reasons to be introduced among which are the confirmed presence of hazardous waste, former or existing activities on the site with an experienced high possibility of soil or groundwater contamination. In the case of ongoing activities prevention of further contamination is a first point of action, but here only covered as a border subject not facilitated fully in this data model. Code lists for possibly contaminating activities, waste types and chemical parameters are included but can be complemented and are not setting any obligations for investigation or site management from the side of the EU. They may facilitate in keeping the overview of causes and facilitate local planning of the efforts. In the cooperation between member states these data may help to analyze for which type of sites experience is built up in a member state or which types of sites are lacking. The stage of investigation gives insight in the level of conformation of assumptions in the tiered investigations.
The site identification and geometry is a property inherited from the soil site in the 'Soil' model (in the main text) and from the Inspire 'Geology' data model for groundwater.
A confirmed contaminated site is more legally embedded (than a 'possibly contaminated site'). Its status is connected to the applicable law and appointed national, regional or local authority or authorities. The pollutant level and extent (affected surface size and depth) is set in the main site investigation and other parameters may be involved in further assessment. Several risk assessment stages are possible, involving risk types and possible risk receptors related to the land use. Land use is connected in this data model to the Inspire data model 'Land use'. The current level of protection obtained on the site is recorded in 'measures taken' and 'stage of measures'. The measures may involve land use restrictions as elaborated in the Inspire data model 'Area management / restriction / regulation zones and reporting units'.
The reasons to investigate and manage a site are the hazards and risks as specified within the member state, considering international rules and knowledge when applicable. The trigger to start investigations may follow procedures specified within the member state and does not follow directly from EU regulations (except for the control of major-accident hazards as defined in the Seveso II Directive and its extensions).
In this example: the trigger to investigate the justification and application may be up to the member states. It may be informative for policy makers to know which triggers are dominant and as it is compliant to the rules of the member states generally there is no reason to keep it back. The information is included in the model as an option with a generalized and extendable code list.
Figure 12: Quick reference view of the model
Recommendations:
A further check of interoperability and flexibility of the proposed data model by mapping of the data systems of member states and of the EEA data collection system is recommended.
The data may carry civil, criminal and financial liabilities. In agreeing with public availability of data in the Århus agreement the local authorities / member states should balance the protection of citizens to risk versus the liabilities in this subject. Both sides may have connected economic and political value. If public availability has valid juridical barriers it should be possible to keep data delivery back if not in conflict with the Århus agreement. In this conflict probably the juridical boundaries should be determined by jurisdiction in each member state.
Some subjects are not included in the model and it is recommended that these should get attention in further developments, being: prevention of the continuation of polluting effects of activities; diffuse pollution in soil and groundwater; the assessment of ecological / biological quality of the soil (use of parameters from ENVASSO) and ecological services of the soil; integration in management of soil and water systems; area management and combined approach of sites.
As soil pollution may have implications for a large field of economic activities the management of contaminated sites and brown fields may have wider implications in fields for which the TWG Soil has no expertise available. Figure 13 gives a wider overview of related management issues to consider several of these issues will be integrated in management related to other themes, making use of soil pollution data. It is recommended to make a further check of the connection of soil pollution with other INSPIRE themes. The current data model is restricted and mainly aiming to record the status of contaminated sites to foster public health and safe and sustainable land development.
Figure 13: Possible tasks in management of soil pollution, with (in grey) the main management issues in which these tasks may be integrated. This is an illustration of the wider fields of risk management on soil pollution and not part of the proposed data model.
D.1.1. Feature catalogue
D.1.1.1. Feature catalogue metadata
Application Schema |
INSPIRE Application Schema SoilContamination |
Version number |
3.0 |
Types defined in the feature catalogue
Type |
Package |
Stereotypes |
ContaminatedSoilSite |
SoilContamination |
«featureType» |
ContaminatingActivitiesValue |
SoilContamination |
«union» |
ContaminatingActivityPresenceValue |
SoilContamination |
«codelist» |
ContaminatingActivityType |
SoilContamination |
«dataType» |
GroundwaterProfile |
SoilContamination |
«featureType» |
InvestigatedChemicalParameterType |
SoilContamination |
«dataType» |
InvestigationStateValue |
SoilContamination |
«codelist» |
InvestigationTriggerValue |
SoilContamination |
«codelist» |
MeasureTakenStageValue |
SoilContamination |
«codelist» |
MeasureTakenStatusValue |
SoilContamination |
«codelist» |
MeasureTakenType |
SoilContamination |
«dataType» |
MeasureTakenValue |
SoilContamination |
«codelist» |
NaceIndustrialActivityValue |
SoilContamination |
«codelist» |
OtherContaminatingActivityValue |
SoilContamination |
«codelist» |
PossiblyContaminatedSoilSite |
SoilContamination |
«featureType» |
RiskAssessmentStageValue |
SoilContamination |
«codelist» |
RiskReceptorValue |
SoilContamination |
«codelist» |
RiskTypeValue |
SoilContamination |
«codelist» |
SoilContaminationSpecialisedZoneTypeCode |
SoilContamination |
«codelist» |
WasteTypeValue |
SoilContamination |
«codelist» |
D.1.1.2. Spatial object types
ContaminatedSoilSite
ContaminatedSoilSite |
|||||||||||||||
|
|||||||||||||||
Attribute: investigatedChemicalParameter
|
|||||||||||||||
Attribute: riskAssessmentStage
|
|||||||||||||||
Attribute: measureStage
|
|||||||||||||||
Attribute: measureTaken
|
|||||||||||||||
Attribute: riskType
|
|||||||||||||||
Attribute: riskReceptor
|
|||||||||||||||
Association role:
|
|||||||||||||||
Association role:
|
|||||||||||||||
Association role:
|
|||||||||||||||
Association role:
|
GroundwaterProfile
GroundwaterProfile |
||||||||||||
|
||||||||||||
Attribute: geometry
|
||||||||||||
Attribute: groundwaterDepthRange
|
||||||||||||
Attribute: investigatedChemicalParameter
|
PossiblyContaminatedSoilSite
PossiblyContaminatedSoilSite |
||||||||||||||||||
|
||||||||||||||||||
Attribute: localName
|
||||||||||||||||||
Attribute: investigationTrigger
|
||||||||||||||||||
Attribute: investigationState
|
||||||||||||||||||
Attribute: contaminatingActivity
|
||||||||||||||||||
Attribute: mainInvestigatedChemicalParameter
|
||||||||||||||||||
Attribute: wasteType
|
||||||||||||||||||
Association role: uses
|
||||||||||||||||||
Association role:
|
D.1.1.3. Data types
ContaminatingActivitiesValue
ContaminatingActivitiesValue |
||||||||||||
|
||||||||||||
Attribute: naceIndustrialActivity
|
||||||||||||
Attribute: otherContaminatingAvtivity
|
ContaminatingActivityType
ContaminatingActivityType |
|||||||||||||||
|
|||||||||||||||
Attribute: contaminatingActivity
|
|||||||||||||||
Attribute: contaminatingActivityPresence
|
|||||||||||||||
Attribute: expectedPollutantName
|
InvestigatedChemicalParameterType
InvestigatedChemicalParameterType |
|||||||||||||||
|
|||||||||||||||
Attribute: soilSiteChemicalParameterDescription
|
|||||||||||||||
Attribute: soilSiteChemicalParameterTreshhold
|
|||||||||||||||
Attribute: soilSiteChemicalParameterScreening
|
|||||||||||||||
Attribute: soilSiteChemicalParameterBackground
|
MeasureTakenType
MeasureTakenType |
|||||||||||||||
|
|||||||||||||||
Attribute: measureTaken
|
|||||||||||||||
Attribute: measureTakenStatus
|
D.1.1.4. Code lists
ContaminatingActivityPresenceValue
ContaminatingActivityPresenceValue |
||||||||||||||||||
|
InvestigationStateValue
InvestigationStateValue |
||||||||||||||||||
|
InvestigationTriggerValue
InvestigationTriggerValue |
||||||||||||||||||
|
MeasureTakenStageValue
MeasureTakenStageValue |
||||||||||||||||||
|
MeasureTakenStatusValue
MeasureTakenStatusValue |
||||||||||||||||||
|
MeasureTakenValue
MeasureTakenValue |
||||||||||||||||||
|
NaceIndustrialActivityValue
NaceIndustrialActivityValue |
|||||||||||||||
|
OtherContaminatingActivityValue
OtherContaminatingActivityValue |
||||||||||||||||||
|
RiskAssessmentStageValue
RiskAssessmentStageValue |
||||||||||||||||||
|
RiskReceptorValue
RiskReceptorValue |
||||||||||||||||||
|
RiskTypeValue
RiskTypeValue |
||||||||||||||||||
|
SoilContaminationSpecialisedZoneTypeCode
SoilContaminationSpecialisedZoneTypeCode |
||||||||||||||||||
|
WasteTypeValue
WasteTypeValue |
||||||||||||||||||
|
D.1.1.5. Imported types (informative)
This section lists definitions for feature types, data types and code lists that are defined in other application schemas. The section is purely informative and should help the reader understand the feature catalogue presented in the previous sections. For the normative documentation of these types, see the given references.
CharacterString
CharacterString |
||||||
|
ExistingLandUseObject
ExistingLandUseObject |
|||||||||
|
GM_Point
GM_Point |
||||||
|
ManagementRestrictionOrRegulationZone
ManagementRestrictionOrRegulationZone |
|||||||||
|
ObservableProperty
ObservableProperty |
||||||||||||
|
ObservedSoilProfile
ObservedSoilProfile |
||||||||||||
|
RangeType
RangeType |
|||||||||
|
SoilParameterValueType
SoilParameterValueType |
|||
|
SoilSite
SoilSite |
||||||||||||
|
SoilSiteParameterNameValue
SoilSiteParameterNameValue |
||||||||||||
|
ZoningElement
ZoningElement |
||||||||||||
|
D.1.2. SoilContamination - Code Lists
INSPIRE Application Schema 'SoilContamination'
Code List |
ContaminatingActivityPresenceValue |
InvestigationStateValue |
InvestigationTriggerValue |
MeasureTakenStageValue |
MeasureTakenStatusValue |
MeasureTakenValue |
OtherContaminatingActivityValue |
RiskAssessmentStageValue |
RiskReceptorValue |
RiskTypeValue |
SoilContaminationSpecialisedZoneTypeCode |
WasteTypeValue |
ContaminatingActivityPresenceValue
|
The table below includes recommended values that may be used by data providers. Before creating new terms, please check if one of them can be used.
historical
|
||||||
recent
|
||||||
ongoing
|
||||||
recentCalamity
|
InvestigationStateValue
|
The table below includes recommended values that may be used by data providers. Before creating new terms, please check if one of them can be used.
notSurveyed
|
|||||||||
underPreliminaryInvestigation
|
|||||||||
underMainInvestigation
|
|||||||||
foundNotContaminated
|
|||||||||
foundContaminated
|
InvestigationTriggerValue
|
The table below includes recommended values that may be used by data providers. Before creating new terms, please check if one of them can be used.
siteIntroducedAfterInventory
|
|||||||||
siteIntroducedAfterCivilComplaints
|
|||||||||
siteIntroducedAfterEpidemiology
|
|||||||||
siteIntroducedAfterSoilInvestigation
|
|||||||||
siteIntroducedAfterCalamity
|
|||||||||
notSurveyed
|
|||||||||
underPreliminaryInvestigation
|
|||||||||
underMainInvestigation
|
|||||||||
foundNotContaminated
|
|||||||||
foundContaminated
|
MeasureTakenStageValue
|
The table below includes recommended values that may be used by data providers. Before creating new terms, please check if one of them can be used.
investigation
|
||||||
execution
|
||||||
noAftercare
|
||||||
aftercare
|
MeasureTakenStatusValue
|
The table below includes recommended values that may be used by data providers. Before creating new terms, please check if one of them can be used.
toBeTaken
|
||||||
inProgress
|
||||||
applied
|
MeasureTakenValue
|
The table below includes recommended values that may be used by data providers. Before creating new terms, please check if one of them can be used.
temporarySafetyMeasures
|
||||||
blockingPathToRiskReceptors
|
||||||
blockingDispersion
|
||||||
cleaningOfMainPollutionSources
|
||||||
siteCleaningUpToLevelFitForCurrentLandUse
|
||||||
siteCleaningUpToLevelFitForPlannedLandUse
|
||||||
groundwaterCleaning
|
||||||
surfaceWaterAndSedimentCleaning
|
||||||
aftercareMonitoringAndProcedureForActionsIfNeeded
|
||||||
aftercareMaintenanceOfProvisions
|
OtherContaminatingActivityValue
|
The table below includes recommended values that may be used by data providers. Before creating new terms, please check if one of them can be used.
SitesWithMajoraccidentHazardsInvolvingDangerousSubstancesAccordingSevesodirectives
|
||||||
CityGasworks
|
||||||
AreasForHandlingAndStorageOfHazardousMaterialsOnPortsAirportsMilitarySites
|
||||||
PetrolAndFillingStationsLargeOilTanks
|
||||||
DryCleaners
|
||||||
MiningInstallations
|
||||||
PesticideSites
|
||||||
WasteLandfills
|
||||||
LandRaisingOrFillingInWaterways
|
||||||
SiteOfPumpingStationsAndOrPipelines
|
RiskAssessmentStageValue
|
The table below includes recommended values that may be used by data providers. Before creating new terms, please check if one of them can be used.
identificationPollutionPathsAndReceptors
|
|||||||||
riskLevelAssessment
|
|||||||||
pollutionDispersionAssessment
|
RiskReceptorValue
|
The table below includes recommended values that may be used by data providers. Before creating new terms, please check if one of them can be used.
humanConnectionWithTheSite
|
|||||||||
drinkingWaterWells
|
|||||||||
areaWithValuedNatureOrAcheologyOrLandscape
|
|||||||||
valuedWildlifeAndEcology
|
|||||||||
produceOfAgricultureOrAnimalHusbandryOrGardeningForUseOutsideSite
|
|||||||||
huntingGameOrFishForUseOutsideSite
|
RiskTypeValue
|
The table below includes recommended values that may be used by data providers. Before creating new terms, please check if one of them can be used.
hazardousVaporsEnteringBuildings
|
|||||||||
investigationOfPollutedSoil
|
|||||||||
inhalationOfAsbestosFibres
|
|||||||||
odourNuissance
|
|||||||||
consumptionOfCropsFromThePollutedSoil
|
|||||||||
consumptionOfOtherProduceFromThePollutedSite
|
|||||||||
useOfDrinkingWaterFromAnAreaInfluencedByThePollutedSite
|
|||||||||
permeationIntoDrinkingWaterPipelines
|
|||||||||
nuisanceFromSkinContact
|
|||||||||
other
|
SoilContaminationSpecialisedZoneTypeCode
|
The table below includes recommended values that may be used by data providers. Before creating new terms, please check if one of them can be used.
restrictedHomeGardeningAndOrMonitoringOfProduce
|
|||||||||
restrictedAgricultureAndOrMonitoringOfProduce
|
|||||||||
stormWaterAndSewerManagement
|
|||||||||
managementAndMonitoringOfSurfaceWatersInConnectionWithTheSite
|
|||||||||
restrictedOrLicensedUseOfGroundwaterWellsOnTheSite
|
|||||||||
restrictedOrLicensedExcavationOrDiggingOnly
|
|||||||||
restrictedOrLicensedTranportOfSoilAndOrWasteMaterialToAndFromSite
|
|||||||||
restrictionsOnBuilingActivities
|
|||||||||
restrictionsOnUseOfBuildingsAndFacilities
|
|||||||||
coverManagement
|
|||||||||
restrictedOrLicensedEntranceOnly
|
WasteTypeValue
|
The table below includes recommended values that may be used by data providers. Before creating new terms, please check if one of them can be used.
wasteMineralExcavation
|
|||||||||
wasteMineralDressing
|
|||||||||
wastePhysicalChemicalProcessingMetalliferousMinerals
|
|||||||||
wastePhysicalChemicalProcessingMetalliferousMinerals
|
|||||||||
drillingMudsDrillingWastes
|
|||||||||
primaryProductionWaste
|
|||||||||
wastesPreparationProcessingMeatFishFoodsAnimalOrigin
|
|||||||||
wastesFruitVegetablesCerealsEdibleOilsCocoaCoffeeTobaccoPreparation
|
|||||||||
wastesSugarProcessing
|
|||||||||
wastesDairyProductsIndustry
|
|||||||||
wastesBakingConfectionery?ndustry
|
|||||||||
wastesProductionAlcoholicNonAlcoholicBeverages
|
|||||||||
wastesWoodProcessingProductionPanelsFurniture
|
|||||||||
woodPreservationWaste
|
|||||||||
wastesPulpPaperCardboardProductionProcessing
|
|||||||||
wastesLeatherIndustry
|
|||||||||
wastesTextileIndustry
|
|||||||||
oilySludgesSolidWastes
|
|||||||||
nonOilySludgesSolidWastes
|
|||||||||
spentCatalysts
|
|||||||||
spentFilterClays
|
|||||||||
oilDesulphurisationWaste
|
|||||||||
wastePyrolyticTreatmentCoal
|
|||||||||
wastesNaturalGasPurification
|
|||||||||
wastesOilRegeneration
|
|||||||||
wasteAidicSolutions
|
|||||||||
wasteAlkalineSolutions
|
|||||||||
wasteSaltsSolutions
|
|||||||||
metalContainingWastes
|
|||||||||
sludgesOnsiteEffluentTreatment
|
|||||||||
wastesSulphurChemicalProcessesDesulphurisationProcesses
|
|||||||||
wastesHalogenChemicalProcesses
|
|||||||||
wastesProductionSiliconSiliconDerivatives
|
|||||||||
wastesPhosphorusChemicalProcesses
|
|||||||||
wastesNitrogenChemicalProcessesFertiliserManufacture
|
|||||||||
wastesManufacturingInorganicPigmentsOpacificiers
|
|||||||||
wastesProductionUseRegenerationCatalysts
|
|||||||||
wastesOtherInorganicChemicalProcesses
|
|||||||||
wasteManufactureFormulationSupplyMFSUOrganicChemicals
|
|||||||||
wasteMFSUPlasticsSyntheticRubberManMadeFibres
|
|||||||||
wasteMFSUOrganicDyesPigments
|
|||||||||
wasteMFSUOrganicPesticides
|
|||||||||
wasteMFSUPharmaceuticals
|
|||||||||
wasteMFSUFatsGreaseSoapsDetergentsDisinfectantsCosmetics
|
|||||||||
wasteMFSUFineChemicalsChemicalProducts
|
|||||||||
wastesMFSUPaintVarnish
|
|||||||||
wastesMFSUCoating
|
|||||||||
wastesMFSUPrintingInks
|
|||||||||
wastesMFSUAdhesivesSealants
|
|||||||||
wastesPhotographicIndustry
|
|||||||||
wastesPowerStationCombustionPlants
|
|||||||||
wastesIronSteelIndustry
|
|||||||||
wastesAluminiumThermalMetallurgy
|
|||||||||
wastesLeadThermalMetallurgy
|
|||||||||
wastesZincThermalMetallurgy
|
|||||||||
wastesCopperThermalMetallurgy
|
|||||||||
wastesSilverGoldPlatinumThermalMetallurgy
|
|||||||||
wastesOtherNonFerrousThermalMetallurgy
|
|||||||||
wastesCastingFerrousPieces
|
|||||||||
wastesCastingNonFerrousPieces
|
|||||||||
wastesManufactureGlassProducts
|
|||||||||
wastesManufactureCeramicGoodsBricksTilesConstructionsProducts
|
|||||||||
"wastes from manufacture of cement, lime and plaster and articles and products made from them"
|
|||||||||
liquidWastesSludgesMetalTreatmentCoatingMetals
|
|||||||||
wastesSludgesNonFerrousHydrometallurgicalProcesses
|
|||||||||
sludgesSolidsTemperingProcesses
|
|||||||||
otherInorganicWastesMetals
|
|||||||||
wastesShaping
|
|||||||||
wastesMechanicalSurfaceTreatmentProcesses
|
|||||||||
wastesWaterSteamDegreasingProcesses
|
|||||||||
wasteHydraulicOilsBrakeFluids
|
|||||||||
wasteEngineGearLubricatingOils
|
|||||||||
wasteInsulatingHeatTransmissionOilsLiquids
|
|||||||||
bilgeOils
|
|||||||||
oilWaterSeparatorContents
|
|||||||||
oilWasteOtherwiseSpecified
|
|||||||||
wastesMetalDegreasingMachineryMaintenance
|
|||||||||
wastesTextileCleaningDegreasingNaturalProducts
|
|||||||||
wastesElectronicIndustry
|
|||||||||
wastesCoolantsFoamAerosolPropellents
|
|||||||||
wastesSolventCoolantRecovery
|
|||||||||
packaging
|
|||||||||
absorbentsFilterMaterialsWipingClothsProtectiveClothing
|
|||||||||
soilDredgingSpoil
|
|||||||||
endLifeVehicles
|
|||||||||
discardedEquipmentShredderResidues
|
|||||||||
offSpecificationBatches
|
|||||||||
wasteExplosives
|
|||||||||
chemicalsGasesContainers
|
|||||||||
batteriesAccumulators
|
|||||||||
wasteTransportStorageTankCleaning
|
|||||||||
concreteBricksTilesCeramicsGypsumBasedMaterials
|
|||||||||
woodGlassPlastic
|
|||||||||
asphaltTarTarredProducts
|
|||||||||
metalsAlloys
|
|||||||||
insulationMaterials
|
|||||||||
mixedConstructionDemolitionWaste
|
|||||||||
wasteNatalCareDiagnosisTreatmentPreventionDiseaseHumans
|
|||||||||
wasteResearchDiagnosisTreatmentPreventionDiseaseInvolvingAnimals
|
|||||||||
wastesIncinerationPyrolysisMunicipalSimilarCommercialIndustrialInstitutionalWastes
|
|||||||||
wastesSpecificPhysicoChemicalTreatmentsIndustrialWastes
|
|||||||||
stabilisedSolidifiedWastes
|
|||||||||
vitrifiedWastesVitrification
|
|||||||||
wastesAerobicTreatmentSolidWastes
|
|||||||||
wastesAnaerobicTreatmentWastes
|
|||||||||
landfillLeachate
|
|||||||||
wastesWaterTreatmentPlants
|
|||||||||
wastesPreparationDrinkingWaterIndustrialUse
|
|||||||||
paperCardboard
|
|||||||||
glass
|
|||||||||
smallPlastics
|
|||||||||
otherPlastics
|
|||||||||
smallMetalsCans
|
|||||||||
otherMetals
|
|||||||||
wood
|
|||||||||
organicCompostableKitchenWaste
|
|||||||||
oilFat
|
|||||||||
clothes
|
|||||||||
textiles
|
|||||||||
paintInksAdhesivesResins
|
|||||||||
solvents
|
|||||||||
acids
|
|||||||||
alkalines
|
|||||||||
detergents
|
|||||||||
photoChemicals
|
|||||||||
medicines
|
|||||||||
pesticides
|
|||||||||
batteries
|
|||||||||
fluorescentTubesOtherMercuryContainingWaste
|
|||||||||
aerosols
|
|||||||||
equipmentContainingChloroflurocarbons
|
|||||||||
electronicEquipment
|
|||||||||
gardenParkWaste
|
|||||||||
otherMunicipalWaste
|
D.2. Soil Organic Carbon Content provision
D.2.1. INTRODUCTION
The INSPIRE Annex III theme 'Soil'
INSPIRE makes models for data exchange for themes with importance for the EU economy, one of those is the theme 'Soil'. Main topics for 'Soil' are the soil characterisation and all related themes within the scope of soil protection. Soil organic matter decline is one of the major processes which need actual assessment, among others, for healthy foods and the occurrence and impact of climate change. The use case described below shows how soil related data, and in particular the map of topsoil organic carbon content, can be provided within the INSPIRE "soil model".
Relevance of soil organic carbon content and soil organic carbon stock with regard to regulation and legislation
-
The Thematic Strategy for Soil Protection (Brussels, 22.9.2006, COM(2006)231) individuates Soil Organic Matter Decline as one of the mayor risks of soil degradation.
-
The Proposal for a DIRECTIVE OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL establishing a framework for the protection of soil and amending Directive 2004/35/EC (Brussels, 22.9.2006 COM(2006) 232 final, 2006/0086 (COD)) defines many soils functions: biomass production, storing, filtering and transforming nutrients and water, hosting the biodiversity pool, acting as a platform for most human activities, providing raw materials, acting as a carbon pool and storing the geological and archeological heritage. Soil organic carbon content (total and humus concentration) and soil organic carbon stock are indicated as common elements for the identification of areas at risk of soil organic matter decline.
-
In the REPORT FROM THE COMMISSION TO THE EUROPEAN PARLIAMENT, the implementation of the Soil Thematic Strategy and ongoing activities are illustrated (Brussels, 13.2.2012, COM(2012) 46 final). Different Community policies, in particular, environmental (e.g. air and water) and agricultural (agri-environment and cross-compliance) contribute to soil protection. Agriculture can have positive effects on the state of soil. For instance, land management practices such as organic and integrated farming or extensive agricultural practices in mountain areas can maintain and enhance organic matter in the soil and prevent landslides.
A great focus on soil organic carbon is given by the Kyoto Protocol. The Kyoto Protocol highlights that soil is a major carbon store which must be protected and increased where possible, since carbon sequestration in agricultural soils by some land management practices can contribute to mitigating climate change. The European Climate Change Programme (ECCP) Working Group on Sinks Related to Agricultural Soils estimated this potential at equivalent to 1.5 to 1.7% of the EU’s anthropogenic CO2 emissions during the first commitment period (See: http://ec.europa.eu/comm/environment/climat/pdf/finalreport_agricsoils.pdf.) under the Kyoto Protocol. Programmes can build on measures already implemented in national and Community contexts, such as cross-compliance and rural development under the CAP, codes of good agricultural practice and action programmes under the Nitrates Directive, future measures under the river basin management plans for the Water Framework Directive, flood risk management plans, national forest programmes and sustainable forestry practices and forest fire prevention measures. Member States will be free to combine approaches to combat concurrent threats. This will be particularly beneficial for Member States addressing desertification under the UNCCD and will avoid duplication of effort.
In summary, the soil organic carbon content is a parameter to be taken into account for meeting the (i) Proposed Soil framework Directive, (ii) Council regulation (EC) No 1782/2003 (Common Agricultural Policy), (iii) Agri-environmental indicators that track the integration of environmental concerns into CAP at EU, national and regional levels, (iv) Directive 2009/28/EC of the European Parliament and of the Council (energy from renewable resources) and (v) Less Favoured Areas (LFA) Intermediate areas (regulation aimed at better targeting of natural handicap payments COM (2009) 161 (still under discussion).
D.2.2. USE CASE DESCRIPTION
The following example describes a use case referring to a regional estimation of soil organic carbon content (Fig.1).
Use case: soil organic carbon content estimation on a regional scale.
This use case makes reference to the real case of the Region Sicily and involves several objects (feature types, their attributes and their connections).
The map of the regional soil organic carbon content is a SoilThemeCoverage rectified grid which has the following attributes:
«feature type» |
+ soilThemeName: map of the soil organic carbon content in the topsoil of the region Sicily |
Constraints |
The SoilThemeCoverage is associated to a SoilDerivedObject, which is a collection of polygons described as follows:
«feature type» |
|
The SoilDerivedObject "map of the soil organic carbon content in the topsoil of the region Sicily" is based on a set of SoilBody features. Each SoilBody is described as follows:
«feature type» |
|
The label makes reference to the codes of physiography, lithology, and land use, which are described in a reference provided with the metadata, which is connected to the dataset published in the webservice set up by the provider of this dataset.
The presence of one or more kinds of soils (DerivedSoilProfiles, hereinafter DSP) in the SoilBody is modelled with the association class DerivedProfilePresenceInSoilBody, which allows indicating which derived soil profiles are used to describe the soils of the SoilBody, and to which extent (expressed as a couple of area share percentages).
DerivedProfilePresenceinSoilBody |
+ derivedProfilePercentageRange: |
The code of DSP makes reference to the WRB system and the codes of soil regions reported in a reference provided with the metadata. The characteristics of a derived soil profile are derived (e.g. averaged and modal values) from several observed profiles of the same soil type in the area of interest. The DSP represents the average profile. The DSP consists of a group of Soil Profiles with the same WRBSoilName (2006 edition), and similar environmental characteristics. The averaged and modal values of the DerivedSoilProfile were calculated from a set of observed soil profiles. The following gives the description of the DSP.
«feature type» |
|
For DSP 59.9PHCA1.1 there will be a similar description
The ProfileElement considered in this use case is a SoilLayer.
«feature type» |
|
«feature type» |
+ layerType: topsoil |
(voidable properties not listed)
D.2.3. CODE LISTS USED
«codeList» |
|
«codeList» |
|
«codeList» |
|
«codeList» |
|
«codeList» |
|
«codeList» |
|
Figure 14 – Implementation of INSPIRE. Objects involved in the use case: soil organic carbon content estimation on a regional scale (note that some data types are represented in short).