The EAGLE concept - first practical implementations. Title. Stephan Arnold. Position Gebhard Banko. Place, Copenhagen, date 20.

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1 The EAGLE concept - first practical implementations Title Stephan Arnold DeStatis First name SURNAME Position Gebhard Banko Environment Name of the entity Agency Austria Place, Copenhagen, date 20. October2015

2 Content Motivation and Background EAGLE work results, sequence of work Semantics: from classification to description of land cover objects EAGLE matrix / model Semantic testing EAGLE matrix population & comparison tool Physical data: EAGLE data base Geometric test case Linking COPERNICUS, INSPIRE and national activities Overview and outlook 2

3 Preamble: Who and what is EAGLE? EAGLE = EIONET Action Group on Land Monitoring in Europe Representatives of NRC, CLC project managers, national land monitoring managers Established in 2009 as self-initiative working group Open membership based on own commitment Consortium: since 2014 funded by EEA contracts Main ideas Harmonisation of semantic description of land cover objects Increase and enable the comparability of products Integration of bottom-up and top-down approaches in land monitoring 3

4 CORINE Land Cover Recent approaches Integral part of COPERNICUS programme One piece of total picture (HR Layers, local components, etc.) LCML land cover modelling language ISO standard and System to create/describe land cover classes Referenced in INSPIRE Embedded description Integration in EAGLE work INSPIRE land cover data specifications Rules for syntactically correct data model (formal description) no mandatory semantic harmonisation mandatory for NEW datasets 21. October 2015!! 4

5 Ambiguity of Classification systems: Definitions of Forest all over the World 100 Source: Comber et al. (2005) Crown cover density[%] 20 Minimum tree height in [m]

6 Criteria for EAGLE data model Clear separation between LC and LU Complete coverage of themes LC and LU Object-oriented description instead of classification Scale independent Modelling of temporal phenomena Applicable on national and European level Extension to INSPIRE Land Cover data model 6

7 Integration scheme for future Land Monitoring- Framework in Europa [C O P E R N I C U S] European Level CLC Urban Atlas HR Layers LPIS LUCAS EAGLE Concept National & Sub-National Level National (A) Land Monitoring Regional (a) Land Monitoring National CLC Regional (b) Land Monitoring National (B) Land Monitoring 7

8 EEA-EAGLE tasks: Oct Sept Task content lead semantic physical DB grid 1.1 Explanatory documentation Stephan Arnold x 1.2 Fine-tuning Barbara Kosztra (FÖMI) x 1.3 Data model Gebhard Banko (UBA-V) x 2.1 Database development Nuria Valcárcel (CNIG) x 2.2 Semantic testing Stephan Arnold x 3.1 Matrix population and Tomas Soukup (Gisat) x comparison tool 3.2 Generalisation and aggregation rules set Henrik F. Mathiesen (NFLI) 4.1 Geometric test case Nuria Valcárcel (CNIG) x 4.2 Grid approach Geir Harald Strand (NFLI) x 5.1 Final database Nuria Valcárcel (CNIG) x 5.2 Maintenance procdures Stephan Arnold 5.3 Alignment of technical output Geoff Smith (SN) 6.1 Transformation rules for CLC Gebhard Banko (UBA-V) x x 6.2 Transformation rules for UA Lena Halin-Pihlatie (SYKE) x x x 8

9 Sequence of work Semantics: from classification to description of land cover objects EAGLE matrix / model Semantic testing EAGLE matrix population & comparison tool Physical data: EAGLE data base Geometric test case Linking COPERNICUS, INSPIRE and national activities 9

10 Structure of EAGLE matrix A.) LAND COVER Components LCC Abiotic (Artificial + Natural), Vegetation, Water Surfaces B.) LAND USE Attributes LUA Agriculture, Forestry, Residential, Transportation etc. C.) CHARACTERISTICS CH spatial pattern, bio-physical parameters, ecosystem types, cultivation measures, land management practices etc. 10

11 De-Composition of CORINE Land Cover classes LC LU CH Parameter/ Intensity Folie 11

12 13 Tested LC/LU nomenclatures (fully / partly) 628 different classes EU level Semantic testing of EAGLE matrix (Task 2.2) - Translation of national Land Cover Classes CORINE Land Cover [EEA] LUCAS [Eurostat] Urban Atlas 2012 [EEA/DG Regio] EUNIS habitat classification [DG ENV] LPIS land cover types [JRC] National level Bulgaria & Romania Hungary Netherlands Spain Germany Austria United Kingdom Switzerland 12

13 Semantic testing of EAGLE matrix (Task 2.2) - Bar Coding Method Expressing class definitions with matrix elements (LCC, LUA, CH) Bar code values: mandatory / optional / excluded element 13

14 EAGLE matrix population and comparison tool (Task 3.1) EAGLE matrix in Excel format easy for insiders => Web-based tool for decomposition of classes Self-explaining and user-friendly interface Assign nomenclature and class name/code Library of de-composed classes Visual comparison between classes Import/Export function (under construction) Quantitative similarity indicator (on to do list) URL: 14

15 EAGLE matrix population and comparison tool 15

16 EAGLE matrix population & comparison tool 16

17 Sequence of work Semantics: from classification to description of land cover objects EAGLE matrix / model Semantic testing EAGLE matrix population & comparison tool Physical data: EAGLE data base Geometric test case Linking COPERNICUS, INSPIRE and national activities 17

18 Physical database implementation Store, maintain and query data (INSPIRE extension) Impossible with shape-file EAGLE Concept Data model Database hierarchical structure, data volume, ISO/OGC compliance, Selected platforms: PostgreSQL PostGIS, ESRI EAGLE Matrix UML/EA PostGIS/ ESRI Geodatabase 18

19 Physical database implementation Entity relationship diagramm (ERD) Constellation of database elements from sources of INSPIRE and EAGLE

20 EAGLE Geometric Test Case Selected test sites AT, BG/RO, ES, PT, FI, HU, NL each 20*20 km2 Data imported national datasets into EAGLE database CORINE Land Cover 2012 High Resolution Layers Goals Bottom-up aggregation of national data Describe CLC-polygons with national data (enrichment) Comparison on CLC-polygon level Description with National data Description with High resolution layers

21 National datasets Original MMU National datasets in EAGLE format Base Geometry: CLC 25 ha MMU Generalized National datasets in EAGLE format FIN FIN FIN SIOSE COS Iberian Iberian LPIS CBC Loading process LPIS CBC Generalization process LPIS CBC LISA LISA LISA LGN7 LGN7 LGN7 European datasets CLC HRL Loading process European datasets in EAGLE format CLC+ HRL Comparison

22 Enhanced description of CLC polygons CLC geometries black outlines, class codes Colored thematic content from nat. data in EAGLE data model

23 Harmonisation HarmonisationandStandardisation Pilot project on INSPIRE implementation CORINE Land Cover and Urban Atlas Matching Table FME-transformation GML output validation cook book for countries Transformation of national LC data into INSPIRE Reminder Annex II: 21. October 2015 Standardisation EAGLE optimized for object description LCML optimized for class description Link to LCML/ISO Harmonisation EAGLE -> LCML (ISO :2012) Aim: joint (global) domain model for LC/LU 23

24 Semantic tools Conclusions/ Results Web-based EAGLE matrix population and comparison tool Description of Land Cover Classifications using EAGLE data model E.g. CLC-nomenclature Moving from human readible description to machine readible description Physical database Database TEMPLATE file (ESRI, PostGIS) example database filled with national and COPERNICUS data Enhancement of CLC-polygon description (object oriented) Possibility for validation Class description vs. Object (Polygon) description Harmonised and standardised: INSPIRE extension and ISO compatible Next connected presentations Grid-approach Proposal for future land monitoring (task 5.3) 24

25 Thankyouverymuchforyourattention andfortrustin ourvision) in the name of the EAGLE consortium members and working group colleagues Antonin Orlik, Antonio Arozarena Villar, Andreas Littkopf, Alejandro Simon Colina, Gebhard Banko, Barbara Kosztra, Cesar Martinez Izquierdo, Christoph Perger, Charlotte Steinmeier, Elise Järvenpää, Emanuele Mancosu, Gebhard Banko, Gerard Hazeu, Geir-Harald Strand, Gergely Maucha, Geoff Smith, Henrik Forsberg Mathiesen, Julian Delgado Hernandez, Kathrin Renner, Markus Törmä, Marc Zebisch, Mario Caetano, Michael Bock, Mirko Gregor, Nuria Valcarcel Sanz, Pavel Milenov, Radko Radkov, Roger Milego, Ruth Sonnenschein, Stefan Kleeschulte, Stephan Arnold, Suvi Hatunen, Tomas Soukup Stephan Arnold [DeStatis] Gebhard Banko [EAA] 25