1.
Introducing ... The EAGLE concept – conceptual basis for a future European Land Monitoring Framework
Stephan Arnold, Michael Bock, Barbara Kosztra, Gebhard Banko, Gerard Hazeu, Geoff Smith, Nuria Valcarcel 1

2. Current Situation: numerous classification systems
GIO HRL Forest
Urban
Atlas
LUCAS ?
EUNIS Habitats
CLC
GIO HRL Soil Sealing 2

3. Object orientation: A bread is a bread is a bread ...3

4. Object orientation: A bread is a bread is a bread ...
Classification
Bread ≠ Bread
Characterization
Outer Appearence
weight
size
shape
Inner details
grainsize
density
Ingredients
salt
wheat / rye
water
yiest
E 510, …
Color
light
dark
Other Characters
Bio-certificate
Gen-free
Use
Food, Alimentation 4

5. Object orientation: Grass is grass is grass ...
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
Inland marsh 5

6. Structure of EAGLE Data Model & Matrix
Information on landscape described with three separate main blocks…
A.) LAND COVER Components – LCC block
Abiotic, Vegetation, Water Surfaces
B.) LAND USE Attributes – LUA block
Agriculture, Forestry, Industry, Transportation etc.
C.) further CHARACTERISTICS – CH spatial pattern, bio-physical parameters, ecosystem types, land management practices etc. 6

7. A.) Land Cover Components [LCC]
Describe real landscape elements from pure LC point of view.
(Read Matrix from top to bottom.) 7

8. B.) 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) 8

9. C.) further Characteristics [CH]
Characterize landscape with additional properties, flexible extendable list (extract shown only) 9

10. EAGLE data model: from matrix to UML chart10

11. EAGLE data model: from matrix to UML chart11

12. EAGLE data model: from matrix to UML chart12

13. EAGLE data model: from matrix to UML chart13

14. How to use the matrix: „bar-coding” method (I)
How to use the matrix: „bar-coding” method (I)
Bar Code Values:
xx = not applicable (logically excluded, because not applicable)
x = must not occur, excluded by definition
0 = not important (because of generalization effects)
1 = can be expected, but not defining element
2 = must occur, defining selective obligatory element (selective OR-function, at least one of tick-marked elements must be present) 14 14

15. How to use the matrix: „bar-coding” method (II)
How to use the matrix: „bar-coding” method (II)
Bar Code Values:
3 = must occur, defining cumulative obligatory element (cumulative AND-function, if more then one element tick-marked then all be present)
4 = multiple selective occurrence mandatory, more than one of the selected matrix element must be present 15 15

16. Matrix as semantic comparison tool
Matrix as semantic comparison tool 16 16

17. Describing landscape with EAGLE model: „Built-up Area“
Describing landscape with EAGLE model: „Built-up Area“
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 17 17

18. Describing landscape with EAGLE model: „Wetland“
Describing landscape with EAGLE model: „Wetland“
Land cover components (LCC):
Inland water bodies,
Reeds
Land use attributes (LUA):
nature protected land
Further characteristics (CH):
ecosystem type = inland marshes
Salinity = fresh water
© Barbara Kosztra 18 18

19. Benefits of usage of EAGLE concept
Tool for analytic decomposition of class definitions
Semantic translation between different classification systems
Clear separation between LC and LU information
Flexible structure of model allows integration of different land related information
Conceptual basis for harmonized future European Land Monitoring Framework (NOT yet another classification system) 19

20. Current Situation of Land Monitoring
in Europe ?
Urban
Atlas
EEA
CLC
HRL
LUCAS
National
HR-
CLC /
National
Land
Surveying
CLC
25 ha
National
Land
Monitoring
National
Stats 20

21. Scheme of EAGLE concept
C O P E R N I C U S
European & Global Level
CLC
Urban Atlas
HR Layers
BioPhys Par
LUCAS
European
Land Monitoring
Framework
INSPIRE LC+LU
compliant
National
& Sub-National Level
National (A)
Land Monitoring
National
CLC
National (B)
Land Monitoring
Regional (a)
Land Monitoring
Regional (b)
Land Monitoring 21

22. Remote Sensing community = EARSeL
Surrounding context & relations of EAGLE concept
Modelling & legal aspect: existing standards CLC, INSPIRE, ISO LCML
Strategic aspect: stakeholders, user requirements MS, EEA, Eurostat, DGs
EAGLE
Scientific aspect: Methodological expertise for RS & LM
Remote Sensing community = EARSeL 22

23. Who is EAGLE? EAGLE = EIONET Action Group on Land monitoring in Europe
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
Open and voluntary participation 23

24. Thank you for your attention !
Contact us
© Barbara Kosztra
sia.eionet.europa.eu/EAGLE
Upcoming event:
23. – 27. June 2013 INSPIRE Conference 2013, Florence, Italy.
EAGLE workshop 24