Implementing INSPIRE in the Field of...INSPIRE 2016, Barcelona 29.09.2016 1 Implementing INSPIRE in...

INSPIRE 2016, Barcelona 29.09.2016 1

Implementing INSPIRE in the Field of 

Soil 

– Initial ResultsEinar Eberhardt, Stefanie Richter

Federal Institute for Geosciences and Natural Resources (BGR)Hannover and Berlin, Germany

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• Soil spatial information –German Soil Map 1 : 200,000

• Full harmonization of data across federal state boundaries

• Complex model or complex data?

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Spatial soil information 1 : 200,000 – geometries

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Spatial soil information 1 : 200,000 – legend texts

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Spatial soil information 1 : 200,000 – profile database content

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Spatial soil information 1 : 200,000 – profile database

• simplified database structure

e

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Spatial soil information 1 : 200,000 – profile database ... to INSPIRE

• simplified database structure

e

Profile elements

Profile elements

Soil BodySoil Body

Derived Soil Profile

Derived Soil Profile AttributesAttributes

higher level Soil Bodieshigher level Soil Bodies

AttributesAttributes

DatasetDataset

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Profile database – organic C example for horizon information

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Harmonisation by using semi-quantitative class range values

class h3 = 2 - <4% org. subst. 1.17 – 2.32% Corg

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Current challenge – extending parameter lists

Registry –

DS Soil requires defining parameter names for attribute data by extending codes of external codelists (e.g. INSPIRE Registry at JRC)

German codelist registry at GDI-DE not yet supports this

JRC maybe with EU-wide agreement between domain experts

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Full harmonization of data across German federal state boundaries

• legal data provision requirements

• themes: grain size fractions (soil texture), organic carbon and carbonate content, coarse fragment share, erodibility, cation exchange capacity (nutrient retention, filter function), plant available and total water capacity within 100 cm soil, water permeability (water drainage)

• using the range type for including semi-quantitative classes instead of class names

• chemical parameters are used with (simple) land use classes• using the same part of the data model, the same classes, the

same portrayal

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Full harmonization of data across German federal state boundaries

using the

• same method to derive the values from existing soil data

• same part of the data model

• same classes

• same portrayal

• same meta-data entries, in particular naming the dataset and keywords

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Complex model or complex data – Earth Science Custer

https://themes.jrc.ec.europa.eu/groups/profile/1821/soil

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Complex model or complex data - Suggested improvements

• Multiplicity of the soilDerivedObjectObservation

• Parameter list main entries

• Change ParticleSizeFractionType

• Extension of a codelist

... making data provision less complex, but not the model...

Soil sub-cluster / Earth Science Cluster:

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Reducing complexity ...?

• Soil Data Model‘s flexibility ...

complex appearance

very few solutions work for many data mapping and encoding challenges

• flexibility enhances data provision substantially

... wait for good examples before you simplify the model ...

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Wrap up

• German Soil Map – Geometries legends done / profiles coming soon

• Data model is suitable for this kind of data• INSPIRE is a motivation to fully harmonize data across

federal state boundaries

• Implementation will need some more time• It is too early to think about data model simplification

• (Too) simple data models make data provision complex and reduce data quality decrease use of data

einar.eberhardt@bgr.de ... Thank you!