EAGLE data model for land monitoring Use cases and state ... · EAGLE data model for land monitoring - Use cases and state of play ... description instead of ... Semantic comparison

EAGLE data model for land monitoring

- Use cases and state of play

Stephan Arnold, Barbara Kosztra, Gebhard Banko, Geoff Smith, Christoph Perger, Michael Bock, Geir-Harald Strand, Cesar Martinez, Julian Delgado EAGLE Group

pace Arnold et al.: EAGLE Concept

INSPIRE Conference, 04.-08. Sept 2017, Kehl/Strasbourg

Content

Background and Motivation

Criteria and Structure of Data Model

Semantic decomposition

EAGLE use cases

Summary



Harmonisation and integration of different data sources on LC / LU require:

Clear and non-overlapping class definitions

Synchronized time interval of data capture

Comparable minimum mapping units

Similar data quality




Broad variety of applications and fields of work for LC/LU

Specific emphasises on feature type subgroups

result in

Many different classification systems for LC/LU (on national or European level)


Effects:

Mixture of LC and LU classes

Lack of comparability between nomenclatures hamper exchange of information between data sets



Crown cover density [%]

Minimum tree height in [m] 2 4 6 8 10 12 14

20

40

60

80

100 Source: Comber et al. (2005)

Differences in „Forest“ definitions worldwide



About ingredients and aromas…



About aromas and ingredients: Finding the favorite red wine

Do you remember your favorite wine?

Not sure, seems they changed the

label…



Characterization Growth form

homogeneous heterogenous

Growth density slosed sparcely

Soil condition wet dry acidic

Use/Funktion Pasture Recreation Sport Air traffic

Ecosystem type Wetland, swamp



Semantic overlap between class definitions

9

© Norwegian Forest and Landscape Institute.

Alpine Calluna heath, border between SE and FI



SE: CLC 333 “Sparsely vegetated”

FI: CLC 322 “Moors and heathland”

Both interpretation correct, but: inconsistent nomenclature due to overlap of definitions

Semantic overlap between class definitions



Classification and Interpretation

Same term – different meaning

Same content – different name

+ difference in interpreting the class definitions or

tolerance of class definition

=> Comparable / Non-comparable data ?



Criteria for data model

Clear separation between LC and LU

Scale independent

Object-oriented description instead of classification

Complete coverage of themes LC and LU

Modelling of temporal phenomena

Applicable on national and European level



Information on landscape described with three separate blocks: I.) LAND COVER Components – LCC Abiotic (Artificial + Natural), Vegetation, Water Surfaces II.) LAND USE Attributes – LUA Agriculture, Forestry, Residential, Transportation etc. III.) CHARACTERISTICS – CH spatial pattern, bio-physical parameters, cultivation measures, land management practices, status/condition etc.

Structure of the EAGLE matrix



I. LCC block II. LUA block III. CH block

CLC

cla

sses

Structure of the EAGLE matrix



Vision

Implementation Land Monitoring Concept fit for multi-purposes

Object-oriented data model is applicable for 2 main approaches:

Semantic comparison of definitions between different classification systems or single classes

Descriptive characterization of landscape for collection and mapping of LC/LU for future initiatives



European Level

National (A) Land Monitoring

Regional (a) Land Monitoring

National CLC

CLC

National & Sub-National Level

National (B) Land Monitoring

Regional (b) Land Monitoring

EAGLE Konzept

[C O P E R N I C U S]

LPIS HR Layers

Urban Atlas LUCAS

Integration schema for a future land monitoring framework in Europe



De-Composition of landscape

From classification to object-oriented description

Fotos: © Copyright Ursus Wehrli



LC

Parameter

LU

CH

De-Composition of CORINE Land Cover classes



Description of landscape with … Land Cover Components (LCC), Characteristics (CH), Land Use Attributes (LUA)

CH

- ... - ... - ... - ...

CH

- ... - ... - ... - ...

LU Attributes (HILUCS)

LC Unit (1..* LCCs)

ABIOTIC LCCs (Artificial/Natural)

BIOTIC LCCs (Vegetation)

WATER LCCs

CH - ... - ...

Characteristics

CH

+

Structure of the EAGLE data model

+ + +



INSPIRE LC Data model

INSPIRE data model

EAGLE data model



EAGLE UML model overview

INSPIRE data model



Land Cover Unit: village CH: Soil sealing degree 35%

LCC: Conventional buildings CH: Built-up pattern

discontinuous single houses LUA: Permanent residantial

LCC: Trees, broad leaved CH: crown cover density 15%, av tree height 10m

LCC: Herbaceous plants LUA: Agriculture; commercial production / own consumption CH: cultivation type: arable land / permanent grassland

LCC: Open sealed surfaces LUA: Road transportation network

© B. Kosztra

Example: „Rural Settlement“



EAGLE Matrix population and comparison tool (EMPACT)



EAGLE Use Cases



Copernicus Land Monitoring Service Development of future CORINE Land Cover+ (CLC+)

Detailed core data set as basis for downstream products

CLC CLC+

EAGLE DM

CLC Core

CLC Rural

Grid



Institute for Agroecology

NATFLO Remote sensing based landscape objects for nature conservation Rhineland-Palatinate, Ministry of Environment […] Input data:

Topographic reference data and digital terrain and surface models (land surveying authority)

Combination of aerial and satellite imagery

Object-based analysis and segmentation of aerial images and HR-nDSM



NatFlo Mapping approach



Assigning EUNIS classes to landscape units

ontology based reasoning

Semantic Analysis of the Feature Type Catalogue „Recent Land Use“ in Land Surveying Data Model in Germany

Dr. Christian Lucas

Schleswig-Holstein. Der echte Norden. 30

AdV Projekt LB/LN

Komponenten OA 2 2 1 0 3

OA 2 2 2 1 1

OA 1 1 0 0 1

AAA-Anwendungsschema

AAA-Fachschema

AAA-Basisschema

OAB LB/LN


AdV Projekt LB/LN

EAGLE Matrix Elements for feature type „Forest“


AdV Projekt LB/LN

Künstliche Oberflächen und

Bauwerke 61%

Natürliches Oberflächenmaterial

14% Holzige Vegetation

9% Krautige Pflanzen 10%

Sukkulenten, Kakteen und andere Pflanzen

0%

Flechten, Moose, Algen 0%

Flüssigwasserflächen 6%

Festwasserflächen 0,02%

Wasser und andere 6%

- Frequency of LC-Components in entire Analysis

Mapping of Urban Surfaces based on Hyperspectral Satellite Imagery Copernicus Forum Berlin 2017 „Land Monitoring 2.0 – Von der Klassifizierung zur objektorientierten Charakterisierung der Landschaft“

Uta Heiden, Marianne Jilge, Wieke Heldens [email protected]

4. Enable Synergies with other EO missions Metadata – Land cover classification

Use of EAGLE Model: Extension of Hierarchical Land Cover Components

Urban Surface Materials



Summary The Eagle concept is …

Instrument for semantic analysis and comparison of class definitions

not a new classification system, but vehicle for semantic harmonisation and transformation,

is INSPIRE compliant,

can provide flexible framework for future mapping initiatives,

helps to avoid redundant data capture,

applicable on raster or polygon data,

follows principle of integrating bottom-up / top-down approach in the European land monitoring process,

supported by EEA, observed by Eurostat



Literatur on EAGLE

Arnold, S., B. Kosztra, G. Banko, G. Smith, G. Hazeu, M. Bock, N. Valcarcel Sanz (2013):The EAGLE concept – A vision of a future European Land Monitoring Framework. In: R. Lasaponara, L. Masini and M. Biscione (Eds.), Towards Horizon 2020: Earth Observation and Social Perspectives. 33th EARSeL Symposium Proceedings, S. 551-568. EARSeL and CNR, Matera.

Arnold, S., Kosztra, B., Banko, G., Milenov, P., Smith, G., Hazeu, G. (2014): Explanatory Documentation of the EAGLE Concept. EEA, Copenhagen.

Arnold, Smith, Hazeu, Kosztra, Perger, Banko, Strand, Valcarcel-Sanz, Bock (2015):The EAGLE Concept - A Paradigm Shift in Land Monitoring. In: Ahlqvist, Fritz, Janowicz (Eds.): Land Use and Land Cover Semantics - Principles, Best Practices, and Prospects,Taylor & Francis, CRC Press



EAGLE Use Cases AdV (german association of land surveying authorities): semantic

analysis of feature type catalogue, introduction of new LC types Natur- and Env. Monitoring Nordrhein-Westfalen (NUMO NRW) Land Information System Austria (LISA) DLR: Detecting Urban Surfaces on Hyperspectral Satellite Imagery COBWEB project (citizen science data collection) Hungarian test case on CLC data derivation based on national data

sources through EAGLE concept LandSense, IIASA, (citizen science project) IGN Spain: EAGLE geometric test case … <you could be the next in this list> Project



Website: http://land.copernicus.eu/eagle

http://land.copernicus.eu/eagle



EAGLE Meeting, March 2015, Frankfurt am Main

EAGLE data model Version 2.3

http://land.copernicus.eu/eagle



Thank you for your attention!

EAGLE website: http://land.copernicus.eu/eagle Fedaral Statistical Office (DESTATIS) Land Use Statistics Stephan Arnold Telefon: +49 (0) 228 / 99 643 8612 [email protected] www.destatis.de

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EAGLE data model for land monitoring Use cases and state ... · EAGLE data model for land monitoring - Use cases and state of play ... description instead of ... Semantic comparison