Towards a harmonised land monitoring system: NRC bottom-up activities in EAGLE and HELM H

Transcription

1 B. Kosztra Towards a harmonised land monitoring system: NRC bottom-up activities in EAGLE and HELM H Gebhard Banko Environment Agency Austria Geoland 2 Forum October 2012 Copenhagen 1

2 1 NRC * opinion out of 39 NRCs * NRC: national reference centre for land cover 2

3 3

4 Bred: Classification bred = bred Characterisation Outer apperance Weight Length Ingredients salt wheat water yeast E 510, Colour bright dark Other characteristics Organic GMO free 4

5 Question: What is the content of CORINE classes in different countries? same name different content bred bred 112 discontinous urban fabric (DE) 112 discontinous urban fabric (NO) population of CORINE Land Cover classes with independent diagnostic criterias [ G-H. Strand] additional characteristics 5

6 Vision #1: Classification Characterisation Object oriented approach 1 object. many attributes Bred land monitoring object Ingredients Land cover component Wheat, buildings, Intendet use Land use Food/eating industrial Other characteristics other characteristics Organic abandoned 6

7 LEVEL 1 LEVEL 2 LEVEL 3 1. ARTIFICIAL AREAS CORINE nomenclature 1.1. Urban fabric: Continuous urban fabric: Most of the land is covered by structures and transport network. Buildings, roads and artificially surface areas cover more than 80% of the total surface. Non-linear areas of vegetation and bare soil are exceptional Discontinuous urban fabric Most of the land is covered by structures. Buildings, roads and artificially surface areas are associated with vegetated areas and bare soil, which occupy discontinuous but significant surfaces. Between 10% and 80% of the land is covered by residential structures.

8 LEVEL 1 LEVEL 2 LEVEL 3 1. ARTIFICIAL AREAS 1.1. Urban fabric: Continuous urban fabric: Most of the land is covered by structures and transport network. Buildings, roads and artificially surface areas cover more than 80% of the total surface. Non-linear areas of vegetation and bare soil are exceptional Discontinuous urban fabric Most of the land is covered by structures. Buildings, roads and artificially surface areas are associated with vegetated areas and bare soil, which occupy discontinuous but significant surfaces. thresholds Between 10% and 80% of the land is covered by residential structures. Land cover component Land use component Characteristic thresholds intensities SIOSE, A. Arozarena

9 Vision #2: Land Cover & Land Use Conceptually seperate land cover (LC) and land use (LU) LC LU Bare soil agriculture/unused Graminaceous vegetation agriculture/grassland Trees forestry/agriculture Building settlement/industry 9

10 CORINE INSPIRE..and more voluntary mandatory voluntary 25 years ago CORINE Coordinated information on the environment CORINE Air CORINE Biotopes CORINE Land Cover Harmonized/standarized classification system (44 classes) Agreement on standards mandatory.minimum standards (INSPIRE) voluntary.practical standards (EAGLE) 10

11 Vision #3: agree on voluntary standards 11

12 European level National level 1990 CLC

13 European level National level (only some countries) 2000/2006 CLC 2006 national landmonitoring 13

14 European level National level (more countries) 2012 AVOID! CLC HRL national Landmonitoring 14

15 Vision #4: bottom up / top down approach Acknowledge that land monitoring develop on European AND national level Diversity of national land monitoring system (none. fully operational) Tools are necessary semantic transformation EAGLE data model spatial transformation Vector generalization Raster generalization prefered! operational process tbd. 15

16 summary #1: classification > characterisation #2: separation of LC and LU #3: agree on voluntary standards #4: bottom up/top down approach 16

17 Activities EAGLE EiONET Action Group on Land Monitoring in Europe voluntary activity of NRCs Land cover travel cost funded via geoland 2 / HELM HELM Harmonized European Land monitoring FP 7 coordinate action / space call Integration of EAGLE since 6/

18 Results EAGLE Object oriented data model first draft available Agreement on STANDARDIZED lists Flexible adaptation to national/regional needs I. LAND COVER Components Abiotic/Artificial, Biotic/Vegetation, Water II. LAND USE Attributes Agriculture, Forestry, Industry, Transportation etc. III. further CHARACTERISTICS 18 status, spatial pattern, bio-physical parameters, habitat types etc.

19 N. Valcarcel 19

20 EAGLE data model a) As a nomenclature, attaching a single LCC to a point 121 B. Kosztra

21 EAGLE data model a) As a nomenclature, attaching a single LCC to a point B. Kosztra

22 b) Describing the land cover composition of each land surface unit / nomenclature class by attaching more than one LCC to it B. Kosztra

23 c) Describing land surface unit by attaching % values to LCCs LCC polygon count hectar e % Building Open sealed Waste Unsealed artif Bare soil Deciduous trees Shrub Grass Water body Sum B. Kosztra

24 Benefits EEA Conceptual framework for data integration and harmonisation populate CORINE land cover polygons CURRENT status SP CLC HRL = isolated datasets WITH EAGLE data model {CLC 2012, 5 HRL, opt. national LM} = interoperable dataset Defined interface for data integration MC without land monitoring (LM) system Quick reference guide for CORINE class description LM system in development Proposal for standardized elements for national classification system LM system operational Standardized semantic description and transformation of data models European integration and interoperability 24

25 Current Situation of Land Monitoring in Europe European level LUCAS Urban Atlas EEA CLC? HRL National level National HR- CLC / National Land Surveying CLC 25 ha National Land Monitoring S. Arnold

26 Scheme of EAGLE concept European level EEA CLC HRL Urban Atlas BioPhys Par LUCAS European Land Monitoring Framework National level CLC 25 ha National Land Monitoring Regional Land Monitoring S. Arnold

27 HELM themes 27 Harding et al. (1994)

28 Expected HELM results Coordination of national data infrastructure and European data infrastructure High resolution snap shot in time (airborne & satellite based) Multi-temporal coverage (SENTINEL 2) Data integration Data base merging E.g. population grid data Spatial transformation Grid approach generalization into European raster (100*100m) is straightforward compared to vector generalisation Timing issue 28

29 Results II EAGLE: Data model HELM Vision for harmonized land monitoring in Europe expected delivery: end

30 Acknowledgment (selection) EAGLE: Barbara Kosztra, Stephan Arnold Michael Bock, Nuria Valcarcel, Stefan Kleeschulte, Alejandro Simon and all other EAGLE members HELM/EAGLE: Herbert Haubold, Tomas Soukup Geoland 2 forum Copenhagen Oct