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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
paceArnold 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
paceArnold et al.: EAGLE Concept
INSPIRE Conference, 04.-08. Sept 2017, Kehl/Strasbourg
Preamble: Who is „EAGLE“?
EAGLE = EIONET Action Group on Land Monitoring in Europe
Participants are
Land Monitoring experts and
Representatives of National Reference Centres (NRC)
for Land Cover in the EEA´s EIONET
(European Environmental Information and Observation Network)
Established in 2009 as self-initiative
Focus on object-oriented data modelling
Open „membership“ based on own commitment
Firstly no external funding, meanwhile supported by EEA funding, waiting
for continuation …
paceArnold et al.: EAGLE Concept
INSPIRE Conference, 04.-08. Sept 2017, Kehl/Strasbourg
Harmonisation and integration of different data sources on land cover and land use require:
Clear and non-overlapping class definitions
Synchronized time interval of data capture
Comparable minimum mapping units
Similar data quality
Background and Motivation
paceArnold et al.: EAGLE Concept
INSPIRE Conference, 04.-08. Sept 2017, Kehl/Strasbourg
Many applications of LC/LU data lead to various different classification systems (on national or European level)
Effects :
Mixture of LC and LU classes
Specific fields of work have own emphasis on thematic
categories
Lack of comparability between nomenclatures hamper
exchange of information between data sets
Background and Motivation
paceArnold et al.: EAGLE Concept
INSPIRE Conference, 04.-08. Sept 2017, Kehl/Strasbourg
Crown cover density [%]
Minimum tree height in [m]
2 4 6 8 10 12 14
20
40
60
80
100
Differences in „Forest“ definitions worldwide
paceArnold et al.: EAGLE Concept
INSPIRE Conference, 04.-08. Sept 2017, Kehl/Strasbourg
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
paceArnold et al.: EAGLE Concept
INSPIRE Conference, 04.-08. Sept 2017, Kehl/Strasbourg
About aromas and ingredients: Finding the favorite red wine
Do youremember yourfavorite wine?
Not sure, seems theychanged the
label…
paceArnold et al.: EAGLE Concept
INSPIRE Conference, 04.-08. Sept 2017, Kehl/Strasbourg
About ingredients and aromas…
You know how it tasts/looks like,
but is difficult to describe
paceArnold et al.: EAGLE Concept
INSPIRE Conference, 04.-08. Sept 2017, Kehl/Strasbourg
About ingredients and aromas…
To describe taste of vine,
we use known aromas to
characterize it.
paceArnold et al.: EAGLE Concept
INSPIRE Conference, 04.-08. Sept 2017, Kehl/Strasbourg
About ingredients and aromas…
In the best case,
we understand each others
descriptions…
12
„Tropical Night “
What exactly is a tropical night ?
Meteorological Parameter
13
• Temperature
• Humidity
• Air Pressure
• Precipitation
We describe itwith measurableparameters. Likewise we shouldbe able to do so with Land Cover.
paceArnold et al.: EAGLE Concept
INSPIRE Conference, 04.-08. Sept 2017, Kehl/Strasbourg
Ein Brot (dt.) is a bread (en.) est un pain(fr.) é pane (it.) es pan (sp.) ist ein Brot …
paceArnold et al.: EAGLE Concept
INSPIRE Conference, 04.-08. Sept 2017, Kehl/Strasbourg
paceArnold et al.: EAGLE Concept
INSPIRE Conference, 04.-08. Sept 2017, Kehl/Strasbourg
Characterization
Ingredients Salt
Wheat
Water
Yiest
E 510, …
Weight 1,5 Kilo
3 pounds
Color light
dark brown
Other details biocertificated
vegan
paceArnold et al.: EAGLE Concept
INSPIRE Conference, 04.-08. Sept 2017, Kehl/Strasbourg
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
paceArnold et al.: EAGLE Concept
INSPIRE Conference, 04.-08. Sept 2017, Kehl/Strasbourg
Semantic overlap between class definitions
18
© Norwegian Forest and Landscape Institute.
Alpine Calluna heath, border between SE and FI
paceArnold et al.: EAGLE Concept
INSPIRE Conference, 04.-08. Sept 2017, Kehl/Strasbourg
CLC 333
“Sparsely vegetated”
CLC 322
“Moors and heathland”
Both products correct,
but:
inconsistent nomenclature
due to overlap of definitions
Semantic overlap between class definitions
paceArnold et al.: EAGLE Concept
INSPIRE Conference, 04.-08. Sept 2017, Kehl/Strasbourg
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 ?
paceArnold et al.: EAGLE Concept
INSPIRE Conference, 04.-08. Sept 2017, Kehl/Strasbourg
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
paceArnold et al.: EAGLE Concept
INSPIRE Conference, 04.-08. Sept 2017, Kehl/Strasbourg
De-Composition of landscape
From classification to object-oriented description
Fotos: © Copyright Ursus Wehrli
paceArnold et al.: EAGLE Concept
INSPIRE Conference, 04.-08. Sept 2017, Kehl/Strasbourg
LC
Parameter
LU
CH
De-Composition of CORINE Land Cover classes
paceArnold et al.: EAGLE Concept
INSPIRE Conference, 04.-08. Sept 2017, Kehl/Strasbourg
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
paceArnold et al.: EAGLE Concept
INSPIRE Conference, 04.-08. Sept 2017, Kehl/Strasbourg
I. LCC block II. LUA block III. CH block
CLC
cla
sses
Structure of the EAGLE matrix
paceArnold et al.: EAGLE Concept
INSPIRE Conference, 04.-08. Sept 2017, Kehl/Strasbourg
Matrix as semantic comparison tool
paceArnold et al.: EAGLE Concept
INSPIRE Conference, 04.-08. Sept 2017, Kehl/Strasbourg
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
- ...
- ...
Ch
ara
cte
ristic
s
CH
+
Structure of the EAGLE data model
+ + +
paceArnold et al.: EAGLE Concept
INSPIRE Conference, 04.-08. Sept 2017, Kehl/Strasbourg
INSPIRE LC Data model
INSPIRE
data model
EAGLE
data model
paceArnold et al.: EAGLE Concept
INSPIRE Conference, 04.-08. Sept 2017, Kehl/Strasbourg
EAGLE UML model overview
INSPIRE
data model
paceArnold et al.: EAGLE Concept
INSPIRE Conference, 04.-08. Sept 2017, Kehl/Strasbourg
Determining spatial reference objects
Polygons: single objects, distinct feature types, individual are sizes
Grid cell: descriptive characterization, standardized spatial reference unit
Fol
ie
30
paceArnold et al.: EAGLE Concept
INSPIRE Conference, 04.-08. Sept 2017, Kehl/Strasbourg
Land cover components (LCC):
Conventional buildings
Trees, broad leaved
Herbaceous plants
Open sealed surfaces
Land use attributes (LUA):
Permanent residantial
Agriculture; own consumption
Road transportation network
Further characteristics (CH):
Soil sealing degree = 35%
Built-up pattern = discontinuous, single houses
Agricultural measure: Mowing
© B. Kosztra
Example: „Rural Settlement“
paceArnold et al.: EAGLE Concept
INSPIRE Conference, 04.-08. Sept 2017, Kehl/Strasbourg
Online Tool: EAGLE Matrix population andcomparison tool (EMPACT)
paceArnold et al.: EAGLE Concept
INSPIRE Conference, 04.-08. Sept 2017, Kehl/Strasbourg
EAGLE Matrix population and comparison tool(EMPACT)
paceArnold et al.: EAGLE Concept
INSPIRE Conference, 04.-08. Sept 2017, Kehl/Strasbourg
EAGLE Matrix population and comparison tool(EMPACT)
paceArnold et al.: EAGLE Concept
INSPIRE Conference, 04.-08. Sept 2017, Kehl/Strasbourg
Tools: EAGLE Matrix population andcomparison Tool (EMPACT)
paceArnold et al.: EAGLE Concept
INSPIRE Conference, 04.-08. Sept 2017, Kehl/Strasbourg
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]
LPISHR
Layers
Urban
AtlasLUCAS
Integration schema for a future land monitoring framework in Europe
paceArnold et al.: EAGLE Concept
INSPIRE Conference, 04.-08. Sept 2017, Kehl/Strasbourg
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
paceArnold et al.: EAGLE Concept
INSPIRE Conference, 04.-08. Sept 2017, Kehl/Strasbourg
EAGLE Use Cases
paceArnold et al.: EAGLE Concept
INSPIRE Conference, 04.-08. Sept 2017, Kehl/Strasbourg
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
paceArnold et al.: EAGLE Concept
INSPIRE Conference, 04.-08. Sept 2017, Kehl/Strasbourg
Institute for Agroecology
NATFLORemote sensing based landscape objects for natureconservation
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
paceArnold et al.: EAGLE Concept
INSPIRE Conference, 04.-08. Sept 2017, Kehl/Strasbourg
NatFlo Mapping approach
paceArnold et al.: EAGLE Concept
INSPIRE Conference, 04.-08. Sept 2017, Kehl/Strasbourg
Indicator orienteddescription of objectswith environmental parameters andcharacteristics derivedfrom input data
Database structure and management
paceArnold et al.: EAGLE Concept
INSPIRE Conference, 04.-08. Sept 2017, Kehl/Strasbourg
Assigning EUNIS classes to landscape units
ontology basedreasoning
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. 45
AdV Projekt LB/LN
Komponenten
OA 2 2 1 0 3
OA 2 2 2 1 1
OA 1 1 0 0 1
AAA-AnwendungsschemaAAA-Anwendungsschema
AAA-FachschemaAAA-Fachschema
AAA-BasisschemaAAA-Basisschema
OAB LB/LNOAB LB/LN
Schleswig-Holstein. Der echte Norden. 46
AdV Projekt LB/LN
EAGLE Matrix
Elements for
feature type
„Forest“
Schleswig-Holstein. Der echte Norden. 47
AdV Projekt LB/LN
Künstliche Oberflächen und
Bauwerke61%
Natürliches Oberflächenmaterial
14%
Holzige Vegetation9%
Krautige Pflanzen10%
Sukkulenten, Kakteen und andere Pflanzen
0%
Flechten, Moose, Algen
0%
Flüssigwasserflächen6%
Festwasserflächen0,02%
Wasser und andere6%
- Frequency of LC-Components in entire Analysis
Schleswig-Holstein. Der echte Norden. 48
AdV Projekt LB/LN
- Frequency of LU-Components in entire Analysis
Primärer Wirtschaftssektor
21%
Sekundärer Wirtschaftssektor
(Industrie und Handwerk)
15%
Transportnetzwerke, Logistik und technische
Einrichtungen37%
Wohnen5%
Andere Nutzungen
2%
Binnenwassernutzung0%
Andere7%
Tertiärer Wirtschaftssektor(Dienstleistungen)
20%
Schleswig-Holstein. Der echte Norden. 49
AdV Projekt LB/LN
Frequency of LC-Components in feature type “Sport,
Leisure and Recreation”
Künstliche Oberflächen und Bauwerke
40%Natürliches Oberflächenmaterial
5%
Holzige Vegetation24%
Krautige Pflanzen30%
Sukkulenten, Kakteen und andere Pflanzen
0%
Flechten, Moose, Algen0%
Flüssigwasserflächen1%
Andere1%
Festwasserflächen
0%
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
Kunststoffdach
(Polyethylen)
Roter Dachziegel
Rote Splittflächen
4. Enable Synergies with other EO missions
Metadata – Land cover classificationUse of EAGLE Model: Extension of HierarchicalLand Cover Components
Urban Surface Materials
Urban Surface Materials – Application Potential
• Urbane Land Cover Mapping
(Roessner et al. 2001, Xu and Gong 2007, Heiden et al. 2012, Okujeni et al. 2013, Priem and
Canters 2016)
• Detection of Hazardous Materials: z.B. Asbest
(Clark et al. 2001, Marino et al. 2001, Bassani et al. 2007, Cavalli et al. 2009,
Frassy et al. 2014)
• Urban Planing / Spatial Indicators
(Heiden et al. 2003, Bochow et al. 2007, Heldens et al. 2009,
Demarchi et al. 2012, Heiden, et al. 2012, Behling et al. 2015)
• Condition of urban Vegetation (Lacan and McBride 2008, Zhang and Qiu 2012, Alonzo et al. 2014,
Delegido et al. 2014, Gu et al. 2015, Alonzo et al. 2016, Brackx et al. 2017)
• Urban micro climate / heat spots
(Oltra-Carrió et al. 2012, Sobrino et al. 2012a, He et al. 2015, Heldens et al. 2017)
• Etc.
paceArnold et al.: EAGLE Concept
INSPIRE Conference, 04.-08. Sept 2017, Kehl/Strasbourg
SummaryThe Eagle concept …
Instrument for semantic analysis and comparisonof 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 approachin the European land monitoring process,
supported by EEA, observed by Eurostat
paceArnold et al.: EAGLE Concept
INSPIRE Conference, 04.-08. Sept 2017, Kehl/Strasbourg
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 futureEuropean Land Monitoring Framework. In: R. Lasaponara, L. Masini and M. Biscione (Eds.), Towards Horizon2020: Earth Observation and Social Perspectives. 33th EARSeLSymposium 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
paceArnold et al.: EAGLE Concept
INSPIRE Conference, 04.-08. Sept 2017, Kehl/Strasbourg
EAGLE Use Cases
Masterplan of AdV (german association of land surveying authorities):
separation and completion of LC and LU features types
Natur- und Umwelt Monitoring System Nordrhein-Westfalen (NUMO
NRW)
COBWEB project (citizen science data collection)
Hungarian test case on CLC data derivation based on national data
sources through EAGLE concept
LandSense, IIASA
IGN Spain: EAGLE geometric test case
… <you could be the next in this list> Project
paceArnold et al.: EAGLE Concept
INSPIRE Conference, 04.-08. Sept 2017, Kehl/Strasbourg
Website:
http://land.copernicus.eu/eagle
paceArnold et al.: EAGLE Concept
INSPIRE Conference, 04.-08. Sept 2017, Kehl/Strasbourg
EAGLE Meeting, March 2015, Frankfurt am Main
EAGLE data model Version 2.3
http://land.copernicus.eu/eagle
paceArnold et al.: EAGLE Concept
INSPIRE Conference, 04.-08. Sept 2017, Kehl/Strasbourg
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
www.destatis.de