The EAGLE concept - INSPIREinspire.ec.europa.eu/events/conferences/inspire_2013/pdfs/25-06... · A...

25th June 2013 EAGLE concept, INSPIRE Conference 2013, Florence 1

Introducing ...

The EAGLE concept –

conceptual basis for a future European Land Monitoring

Framework

Stephan Arnold, Nuria Valcarcel, Barbara Kosztra, Gebhard Banko, Michael Bock, Gerard Hazeu, Geoff Smith

25th June 2013 EAGLE concept, INSPIRE Conference 2013, Florence

1. Who is EAGLE? 2. Object-oriented data modelling 3. Structure of EAGLE matrix and model 4. How to use the matrix 5. Benefits of usage and strategic aspects 6. Application 7. Outlook

CONTENT


Who is EAGLE? • EAGLE = EIONET Action Group on Land monitoring in Europe

• LC/LU experts from: - national LM initiatives - National Reference Centers (NRC) Land Cover, - INSPIRE TWGs, - ETC SIA partners, - FP7 HELM consortium - Consultations with CLC Technical Team

• Founded through self-initiative of experts from various European countries (DE, HU, RO, CZ, NL, UK, CH, NO, FI, PT, AT, ES)

• open and voluntary participation

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Given Situation: numerous classification systems


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

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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

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

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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

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Decomposing reality ...

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© Ursus Wehrli


1.) What main land cover categories can be detected with remote sensing methods?

2.) How to obtain a clear separation between land cover and land use information?

3.) User requirements (ourselves) for higher spatial resolution and more precise thematic content

4.) How to implement the principle of object-oriented data modelling?

Seed questions ...


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.

Structure of EAGLE Matrix


Describe real landscape from pure LC point of view. (Read Matrix from top to bottom.)

A.) Land Cover Components [LCC]

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Describe territory from pure LU point of view, according to function and socio-economic purpose, linked to INSPIRE (extract shown only)

B.) Land Use Attributes [LUA]

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Characterize landscape with additional properties, flexible extendable list (extract shown only)

C.) further Characteristics [CH]

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EAGLE data model: from matrix to UML chart


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

How to use EAGLE matrix: Describing „landscape“ with EAGLE model


LEVEL 3

1.1.1. 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

1.1.2 Discontinuous urban fabricMost 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.

How to use the matrix: Decomposing class definitions

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Examples on CORINE class definitions


Examples on CORINE class definitions

LEVEL 3

1.1.1. 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

1.1.2 Discontinuous urban fabricMost 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.

Intensities

LC

Thresholds

© SIOSE, A. Arozarena

LU CH

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How to use the matrix: Semantic analysing and comparison tool


Matrix as semantic analysing tool: semantic overlap

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Alpine Calluna heath (border region between NO and SE)

© Norwegian Forest and Landscape Institute


Matrix as semantic analysing tool: semantic overlap

… classified as NO: CLC 333 “Sparsely vegetated areas” SE: CLC 322 “Moors and heath” Both correct interpretation => Inconsistency in CLC class definition

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• Tool for analytic decomposition of class definitions (identification of gaps/overlaps/inconsistencies)

• Semantic translation between different classification systems (NOT yet another classification system)

• 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

Benefits of usage of EAGLE concept

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EEA CLC

National Land

Surveying

National Land

Monitoring

CLC 25 ha

Urban Atlas HRL

Current Situation of Land Monitoring in Europe

National HR- CLC

/ National Stats

LUCAS


European & Global Level

National (A) Land Survey

Regional (a) Land Survey

National CLC

CLC

National & Sub-National Level

National (B) Land Monitoring

Regional (b) Land Monitoring

European Land Monitoring

Framework

C O P E R N I C U S BioPhys

Par HR

Layers Urban Atlas LUCAS

Scheme of EAGLE concept

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Context & relations of EAGLE concept

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EAGLE

Remote Sensing community

Scientific aspect: Methodological expertise for RS & LM

Strategic aspect: stakeholders, user requirements MS, EEA, Eurostat, DGs

Modelling aspect: existing standards CLC, INSPIRE, ISO LCML

Legal aspect: Water Framework Directive Natura2000 Directive Soil Thematic Strategy Climate Change Initiative UNFCCC (Kyoto Protocol)


Recent and future applications of EAGLE concept …

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• ETC SIA Task: Enhancement of CORINE Land Cover extraction guidelines

Test use cases for Land Monitoring purposes by • DDNI Danube Delta National Institute (RO) • EURAC Institute (IT, South Tyrol) • FÖMI (HU) • FGIA Flemish Geographical Information Agency (BE)

Test use case for LC/LU accounting • Destatis (DE), LUCAS bottom-up approach

Further interested users / stakeholders: • National Institute of Geodesy and Cartography (PL) • EUROSTAT, consulting future LUCAS project set up


EAGLE work packages: - Fine tuning of data model - Matrix population tool (MPT) - Proof of concept, test on real data sets - Grid approach - Steering and Coordination Strategical outlook for EAGLE concept: - embedded in HELM project (Task 4.3) - possibly European extension of ISO LCML ? - should be integrated in INSPIRE maintenance progress

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