EAGLE concept, as part of the HELM vision EAGLE working group Barbara Kosztra (Hungary), Stephan Arnold (Germany), Lena Hallin-Pihlatie & Elise Järvenpää (Finland) 16.06.2014 HELM / EAGLE Workshop - INSPIRE Conference, Aalborg 1
Given situation in European LM I. Diverse applications of LC/LU information => many classification systems and nomenclatures. Focus on different aspects of LC/LU Different data collection methods Different scales, Narrow tailored-to-purpose definitions, Incomparable precision/degree of class definitions, Lack of completeness for either LC or LU information. 16.06.2014 HELM / EAGLE Workshop - INSPIRE Conference, Aalborg 2
Given situation in European LM II. The CLC experience Incomplete representation of different biogeographical regions Mixing LC and LU information Fuzzy class definitions: ambiguous description, semantic gaps and inconsistencies Only selectively handling of temporal aspect (transitional phenomena, altering status) Missing thematic content (grassland / wetland types, cultivation practices) No attribution of spatial units No integration of newly appearing landscape phenomena 16.06.2014 HELM / EAGLE Workshop - INSPIRE Conference, Aalborg 3
Criteria for LM data model I. Conceptual point of view Separation between LC and LU information, Mutually exclusive and comprehensive list of land cover components, Applicability on different scales, Applicability on national and European level Semantic translation between different classification systems, INSPIRE compliance, Support the bottom-up approach, Integration of parameters, Flexibility in structure for adding new model elements. 4
Criteria for LM data model II. Thematic content point of view Data model should store information about.. soil sealing degree, crown cover density, habitats / ecosystem types, crop types, land management forms and cultivation patterns, spatial pattern, status, temporal patterns, transitional phenomena among others. 5
Criteria cross table 6
EAGLE principles - Object orientation Classifications Grassland pasture lawn natural grassland Characterization Growth structure homogenous heterogenous Growth density closed sparse Moisture Wet soil Surface water Use intensiv extensiv Sports Management Multiple mowing Single mowing Ecosystem type 16.06.2014 Inland marsh HELM / EAGLE Workshop - INSPIRE Conference 2014, Aalborg 7
EAGLE principles - Decomposing landscape Solve questions of geometry/spatial structure (reference grid, generalzation) Online matrix population tool Testing matrix against classification systems, model against real databases EAGLE model as European extansion of ISO LCML Interest shown by: MS, EEA (newclc?), INSPIRE-community, Eurostat Financing: Copernicus..? (EAGLE mentioned in communication on continuation of Copernicus) Ursus Wehrli 8
Content of EAGLE model Information on landscape described with three separate main 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. 9
CORINE classes Structure of EAGLE Matrix I. LCC block II. LUA block III. CH block 10
I. Land Cover Components [LCC] Describe real landscape elements from pure LC point of view. (Read Matrix from top to bottom.) 11
II. Land Use Attributes [LUA] Describe territory from pure LU point of view, according to function and socio-economic purpose, linked to INSPIRE (extract shown only) 12
III. further Characteristics [CH] Characterize landscape with additional properties, flexible extendable list (extract shown only) 13
Structure of the EAGLE data model Description of Landscape with help of Land Cover Components (LCC), Land Use Attributes (LUA) and Characteristics (CH) CH -... -... + LC Unit (1..* LCC) LU Attributes ABIOTIC LCCs (Artificial/Natural) CH Characteristics BIOTIC LCCs (Vegetation) CH -... -... -... -... WATER LCCs + + + CH -... -... -... -... 14
How to use EAGLE matrix: Describing mixed forest with EAGLE model a) As a nomenclature, attaching a single LCC to each geometrical land surface unit / grid sample point b) Describing the land cover composition of each land surface unit or nomenclature class by attaching more than one LCC to it c) Describing componential rates by assigning percentage values to LCCs of a given land surface unit (polygon or grid cell) or nomenclature class ATKIS Nadelwald Mischwald Mischwald LCC Coniferous Trees Coniferous & Broadleaf trees coniferous 65% Broadleaved 35 % 15
How to use EAGLE matrix: Describing wetland with EAGLE model Land cover components (LCC): Inland water Reeds Land use attributes (LUA): Nature protection site Recreational area Further characteristics (CH): Barbara Kosztra Ecosystem type = inland marsh Salinity = 0% (fresh water) Water regime = perennial 16
How to use EAGLE matrix: Describing village with EAGLE model Land cover components (LCC): conventional buildings, broadleaved trees, herbaceous plants, open sealed surfaces Land use attributes (LUA): permanent residential, agriculture/production for own consumption, road network Further characteristics (CH): soil sealing degree = 35% built-up pattern = discontinuous, single houses Gyorgy Büttner HELM/EAGLE workshop - INSPIRE 2014, Aalborg, Denmark 17
EAGLE matrix/modell application EAGLE matrix for Analytical decomposition of class definitions Semantic translation between different classification systems EAGLE model for Collection and mapping of land related information Conceptual basis for harmonized future European Land Monitoring Framework HELM COOKBOOK: EAGLE concept is not another classification system but a descriptive tool for harmonization of LC/LU information between national & European levels 18
Grid Approach StA1 2 options to represent land: Option 1: delinetation of identified units with polygons StA9 Option 2: proportion of LC/LU units inside regular grid cell 19
Slide 19 StA1 StA9 Grid Approach heading in this slide Stephan Arnold, 6/15/2014 this expression is not introduced, overlap with "criteria" for data model. is confusing here. better say it like here already changed Stephan Arnold, 6/15/2014
Grid Approach Original Raster: 1 (dominant) single value per pixel + + + + Grid: multiple layer data (%, abs.) stored in every grid cell... 20
Grid Approach Grid cells can be populated with any kind of data: - LC/LU information - Population register (pop density, number of commutors, unemployment rate etc.) 21
Grid Approach - Benefits Allows a dual-track system, where MS proceed at different speed Can benefit from EAGLE model as European extension of ISO standard 19144-2 LCML standard Can utilise Copernicus products INSPIRE compliant Fosters cooperation between MS and EU Allows European monitoring systems build on continuous monitoring programs at national level Cost-efficient Integration of information, not of datasets 22
Next steps and future perspectives EAGLE received status of EIONET working group Call for expression of interest (CEI) by EEA for continuation of EAGLE work EAGLE/HELM included in Copernicus 2014 work programme and implementation plan, future development to be supported New data situation: SENTINEL generation ahead, opened LANDSAT archives tackle and improve temporal (so far unsolved) issues EAGLE model as part of INSPIRE Land Cover data specification EAGLE model as European extension of LCML Strategic aspects: continuation of HELM (1) for building up an operational integrated land monitoring system 2.0 23
Who is EAGLE? EAGLE = EIONET Action Group on Land monitoring in Europe (Eionet: expert network of European Environmental agency - EEA) Voluntary, independent, open working group LC/LU experts from: - National Reference Centers (NRC) Land Cover, - INSPIRE TWGs, - ETC SIA partners, - FP7 HELM consortium Founded through self-initiative of experts from various European countries (AT, CH, CZ, DE, ES, FI, HU, NL, NO, PT, UK) Self-financing (apart from travel costs and seconding of experts) 24
Thank you for your attention! Further information: sia.eionet.europa.eu/eagle kosztra.barbara@fomi.hu, stephan-arnold@geo-concept.de, 25