The EAGLE-Concept. A Data Model for Future Land Monitoring
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1 The EAGLE-Concept A Data Model for Future Land Monitoring Stephan Arnold, Barbara Kosztra, Geir-Harald Strand, Gebhard Banko, Lena Hallin-Pihlatie, Geoff Smith, Chris Perger, Julian Delgado EAGLE Group
2 Preamble: Who is EAGLE? EAGLE = EIONET Action Group on Land Monitoring in Europe Participants are Land Monitoring experts and Representatives of National Reference Centres (NRC) for Land Cover in the EEA s EIONET (European Environmental Information and Observation Network) Established in 2009 as self-initiative Independent from political interests Open membership based on own commitment Firstly no external funding, meanwhile supported by EEA funding Folie 2
3 Content Background and Motivation Criteria and Structure of Data Model Howtousethematrix Summary Results and Outlook Folie 3
4 Background and Motivation HarmonisationandIntegration ofdifferent datasourceson land cover and land use would require: Comparable or clearly separable definitions Common synchronized time/interval of data capture Comparable minimum mapping units Similar data quality Folie 4
5 Background and Motivation Many applications of LC/LU data lead to various different classification systems Mixture of LC and LU classes Specific fields of work cause fous on thematic categories Lack of comparability between nomenclatures hamper exchange of information between data sets National institutions are surrounded by National requirements Pan-European requirements (Europ. Commission, DGs, EEA, Eurostat) Folie 5
6 Klassifikation / Interpretation: Was war doch gleich... Wald, Gehölz, Baumgruppe? Kronendichte, Anzahl der Bäume, Stammumfang Mindestflächengröße / -breite Nutzung: Forst, Waldweide, Friedwald, Erholung Funktion: Habitat, Lawinenschutz, CO2-Senke Brache? Ehemalige Nutzung (Landwirtschaft, Wohnen, Industrie, etc.) Wie lange ungenutzt, 1 / 2 / 5 / 10 Jahre? Gartenland/Schrebergärten? Nutzung zur Erholung, Freizeit, Landwirtschaft, Selbstversorgung Bergbaufolgelandschaft / Renaturierung Grassland: landwirtschaftl. Nutzung oder Halde? Folie 6
7 Classification and Interpretation Same term different meaning Same content different name + difference in interpreting the class definitions or tolerance of class definition => Comparable/ Non-comparable data? Folie 7
8 Ein Brot (dt.) isa bread(en.) estunpain(fr.) é pane(it.) es pan(sp.) ist ein Brot? Folie 8
9 Ein Brötchen ist ein Weck ist ein Rundstück ist eine Schrippe ist eine Semmel. Folie 9
10 Folie 10
11 Characterization Ingredients Salt Wheat Water Yiest E 510, Weight 1,5 Kilo 3 pounds Color light darkbrown Other details biocertificated vegan Folie 11
12 Characterization Growth form homogeneous heterogenous Growth density slosed sparcely Soil condition wet dry acidic Use/Funktion Pasture Recreation Sport Air traffic Ecosystem type Wetland, swamp Folie 12
13 Forest definitions all over the World 100 Source: Comber et al. (2005) Crown cover density[%] 20 Minimum tree height in [m] Folie 13
14 Criteria for data model LC/LU Workshop, INSPIRE Conference 2015, Lisboa Clear separationbetweenlc andlu Scale independent Object-oriented description instead of classification CompletecoverageofthemesLC andlu Modelling of temporal phenomena Applicable on national and European level Folie 14
15 De-Composition of landscape From classification to object-oriented description Fotos: Copyright Ursus Wehrli Folie 15
16 De-Composition of CORINE Land Cover classes LC LU CH Parameter/ Intensität Folie 16
17 Outcome of EAGLE concept EAGLE Matrix Excel Spread Sheet Matrix elements in columns Classes to be analysed in rows EAGLE Model UML model Enterprice Architect Connected to INSPIRE data specs on LC Folie 17
18 Structure of the EAGLE matrix Information on landscape described with three separate blocks: I.) LAND COVER Components LCC Abiotic (Artificial + Natural), Vegetation, Water Surfaces => no classes, but elements II.) LAND USE Attributes LUA Agriculture, Forestry, Residential, Transportation etc. III.) CHARACTERISTICS CH further information on: spatial pattern, bio-physical parameters, ecosystem types, cultivation measures, land management practices etc. Folie 18
19 Structure of the EAGLE matrix I. LCC block II. LUA block III. CH block CLC classes Folie 19
20 Matrix as semantic comparison tool Folie 20
21 INSPIRE LC Data model LC/LU Workshop, INSPIRE Conference 2015, Lisboa Folie 21
22 EAGLE UML model overview Folie 22
23 Structure of the EAGLE data model Description of landscape with Land Cover Components (LCC), Characteristics (CH), Land Use Attributes (LUA) CH LC Unit (1..* LCCs) LU Attributes (HILUCS) ABIOTIC LCCs (Artificial/Natural) CH Characteristics BIOTIC LCCs (Vegetation) CH WATER LCCs CH Folie 23
24 Example: wetland Land cover components (LCC): Standing water body Reeds Land use attributes (LUA): none, recreational Reed harvest Barbara Kosztra Further Characteristica(CH): Ecosystem type = inland marsh Salinity < 0,1% (fresh water) Water regime = perennial Folie 24
25 Example: rural settlement Land cover components (LCC): Conventional buildings Trees, broad leaved Herbaceous plants Open sealed surfaces Land use attributes (LUA): Permanent residantial Agriculture, own consumption Road network Further characteristics (CH): Soilsealingdegree=35% Built-up pattern = discontinuous, single houses B. Kosztra Folie 25
26 Momentary situation in Europa Mainly bilateral relations and flows of information European Level Urban Atlas EEA CLC HRL LUCAS National Level ATKIS DLM- DE ALKIS LC/LU Stat Agrar Stat Folie 26
27 Vision Implementation ofa multi-variant applicableland Monitoring Concept Data Model: Descriptive characterization of LC/LU Semantic translation between als Übersetzungs- Werkzeug zwischen verschiedenen Klassifikationssystemen Folie 27
28 Integration schema for a future land monitoring framework in Europe [C O P E R N I C U S] European Level CLC Urban Atlas HR Layers LPIS LUCAS EAGLE Konzept National & Sub-National Level National (A) Land Monitoring Regional (a) Land Monitoring National CLC Regional (b) Land Monitoring National (B) Land Monitoring Folie 28
29 Grid-/raster approach Polygon: object-orientied delineation Grid cell: descriptive characterization Folie 29
30 Grid-/Raster approach LC/LU Workshop, INSPIRE Conference 2015, Lisboa Original Raster: Single values per raster cells Grid cell: Multiple information in each grid cell... Folie 30
31 INSPIRE Pure Land Cover Components (PLCC) as proposed in the LC data specifications final version Folie 31
32 Summary The Eagle concept LC/LU Workshop, INSPIRE Conference 2015, Lisboa Instrument for semantic analysis of class definitions (inconsistencies: overlaps, gaps), not a new classification system, but vehicle for semantic harmonisation and transformation, is INSPIRE compliant, can provide flexible framework for future mapping initiatives, helps to avoid redundant data capture, applicable on raster or polygon data, follows principle of integrating bottom-up/ top-down approach in the European land monitoring process, supported byeea, observed byeurostat Folie 32
33 Results and Outlook LC/LU Workshop, INSPIRE Conference 2015, Lisboa Results: Explanatory documention of EAGLE concept Fine tuning of matrix and model UML data model (incl UML chart) UpcomingEvent: GIO closing event , EEA, Copenhagen Tasks ongoing& ahead: Semantic testing of EAGLE matrix EAGLE matrix population and comparison tool Physical data base Folie 33
34 Literatur on EAGLE LC/LU Workshop, INSPIRE Conference 2015, Lisboa Folie 34
35 Literatur on EAGLE LC/LU Workshop, INSPIRE Conference 2015, Lisboa - Arnold, S., B. Kosztra, G. Banko, G. Smith, G. Hazeu, M. Bock, N. Valcarcel Sanz (2013):The EAGLE concept A vision of a future European Land Monitoring Framework. In: R. Lasaponara, L. Masini and M. Biscione (Eds.), Towards Horizon 2020: Earth Observation and Social Perspectives. 33th EARSeL Symposium Proceedings, S EARSeL and CNR, Matera. - - Arnold, S., Kosztra, B., Banko, G., Milenov, P., Smith, G., Hazeu, G. (2014): Explanatory Documentation of the EAGLE Concept. EEA, Copenhagen. - - Arnold, Smith, Hazeu, Kosztra, Perger, Banko, Strand, Valcarcel-Sanz, Bock (2015 in prep):the EAGLE Concept - A Paradigm Shift in Land Monitoring. In: Ahlqvist, Fritz, Janowicz (Eds.): Land Use and Land Cover Semantics - Principles, Best Practices, and Prospects,Taylor & Francis, CRC Press Folie 35
36 EAGLE data model Richtfest Version 2.3 EAGLE Meeting, Wien, EAGLE Meeting, March 2015, Frankfurt am Main Folie 36
37 Thankyouforyourattention! EAGLE website: Stephan Arnold Telefon: +49 (0) 611 / stephan.arnold@destatis.de
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