The EAGLE conceptinspire.ec.europa.eu/events/conferences/inspire...23rd June 2013 EAGLE Workshop, INSPIRE Conference 2013, Florence . LEVEL 3 . 1.1.1. Continuous urban fabric: Most

23rd June 2013 EAGLE Workshop, INSPIRE Conference 2013, Florence 1

Introducing ...

The EAGLE concept –

conceptual basis for a future European Land Monitoring

Framework

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

23rd June 2013 EAGLE Workshop, INSPIRE Conference 2013, Florence

1. Object-oriented data modelling

2. Structure of EAGLE matrix and model

3. How to use the matrix

4. Benefits of usage and strategic aspects

5. Application

6. How is EAGLE?

7. Outlook

CONTENT


Current 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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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 elements 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








Decomposing reality ...

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Decomposing art ...

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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

How to use Land Cover Components (LCC) in EAGLE matrix?

coniferous 65%

Broad- leaved 35 %

ATKIS LCC

Nadelwald

Mischwald

Mischwald

Coniferous Trees

Coniferous & Broadleaf trees

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How to use LCCs in EAGLE matrix?

a) As a nomenclature, attaching a single LCC to a point

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How to use LCC in EAGLE matrix? b) Describing the land cover composition of each land surface

unit / nomenclature class by attaching more than one LCC to it

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How to use LCC in EAGLE matrix?

c) Describing land surface unit by attaching % values to LCCs

Sum

Water body

Grass

Shrub

Deciduous trees

Bare soil

Unsealed artif.

Waste

Open sealed

Building

LCC

100 15.93 84

0.1 0.02 1

32.0 5.10 20

18.4 2.93 15

10.1 1.60 16

25.9 4.12 6

7.2 1.15 11

1.0 0.16 1

1.1 0.17 2

4.3 0.68 12

% hectare polygon

count

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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

Describing landscape with EAGLE model: „Village“ (Built-up Area)

© Gyorgy Büttner


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

Describing landscape with EAGLE model: „Wetland“

© Barbara Kosztra


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.

Decomposing class definitions How to use the matrix: „bar-coding” method

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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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Decomposing class definitions – Populating the matrix

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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)



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



Matrix as semantic comparison tool

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Matrix as semantic analysing tool: semantic overlap

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Alpine Calluna heath, border 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 Monitoring

Regional (a) Land Monitoring

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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Surrounding 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)


• initiated by the EC • coordinated by the EEA • MMU 25 ha / changes: 5 ha • 39 countries, 6 million km2

CORINE Land Cover (CLC)

Periodic update & change mapping: 1st inventory: 1985-1996 (CLC1990) 2nd inventory: 2001-2004 (CLC2000) 3rd inventory: 2006-2008 (CLC2006) 4th inventory: 2012-2014 (CLC2012)

Application – CLC nomenclature enhancement I

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Only existing quasi-„standard” for land monitoring in Europe


In its name „land cover” data, in practice mixed land cover + land use classes. • Need for more detailed information on environment,

• Emerging bottom-up CLC production methods,

• Cross compliance with national LC/LU data Separation of LC + LU elements within nomenclature is required

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Application – CLC nomenclature enhancement II


EEA’s Topic Centre Spatial Information & Analysis (ETC/SIA) 2013 implementation plan, with EAGLE members involved

Task 261_1_1: Applying EAGLE concept to CLC guidelines enhancement

1) Use EAGLE matrix to reveal gaps / overlaps / inconsistencies of

CLC class definitions 2) Proposal for enhancing CLC nomenclature guidelines by

decomposing CLC classes to EAGLE Matrix elements Result: improved CLC class descriptions Help a more consistent and harmonized CLC production across

Europe (traditional photointerpretation + semi-automated bottom-up methods)

Help users understanding the content of CLC data

Application – CLC nomenclature enhancement III

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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, CT)

• open and voluntary participation

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• How to handle temporal aspect (regular / seasonal changes, periodic events)

• Position of geometry in model, multi-dimensional aspects, scale

Open modelling issues

Next steps

• EAGLE work packages, e.g.: - Matrix population tool (MPT) - Grid approach - Proof of concept, test on real data sets

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Find out more... http://sia.eionet.europa.eu/EAGLE

Thank you for your attention !

© Barbara Kosztra

Documents

The EAGLE conceptinspire.ec.europa.eu/events/conferences/inspire...23rd June 2013 EAGLE Workshop, INSPIRE Conference 2013, Florence . LEVEL 3 . 1.1.1. Continuous urban fabric: Most