The EAGLE datamodel for a
future European Land
Monitoring Framework:
connections with global land
cover initiatives
Nuria Valcarcel, Stephan Arnold, Barbara Kosztra,
Tomas Soukup, Gebhard Banko, Gerard Hazeu, Geoff Smith, et al.
15.01.2014
Plenary Session of the Group on Earth Observations (GEO-X)
& Geneva Ministerial Summit
CONTENT
[0. Current situation]
I. EAGLE Group
II. EAGLE Concept
III. Application Examples
IV. Strategy and Outlook
[0. Current situation ]
• Urgent need for land information at higher spatial and
thematic resolutions on European, national and subnational levels
• Diversity of end users working with LC&LU data
diversity of classification & nomenclatures, according to
specific user requirements
• CLC (de-facto standard in Europe but with technical and
semantic limitations) or LCCS/LCML do not fully suit
diverse user requirements
[0. Current situation ]
Coexistence of national (decentralized /bottom-up) +
european & international (centralized/top-down) land
monitoring initiatives
GEO – GEOSS, Copernicus, LUCAS, and others
there is an
urgent need for integrating and harmonizing
decentralized (bottom-up) +
centralized (top-down) approaches
for European & Global land monitoring
I. EAGLE Group
Who is EAGLE?
•
EAGLE = EIONET Action Group on Land monitoring
in Europe
• Volunteers from EIONET, mostly NRC land cover, Core
members from 10+ European countries Experiences
from national & European LM initiatives
•
Participants overlap between EAGLE and INSPIRE
TWGs LC and LU
•
Conection with Copernicus Land:
•
Consultations with CLC Technical Team (also active in
EAGLE)
•
Involvement in validation of HRL concepts (specifications and
results)
II. EAGLE CONCEPT
Object orientation: a bread is a bread is a …
Object orientation: a bread is a bread is a …
Characterization
•
Outer Appearence
•
•
•
•
Inner details
•
•
•
light
dark
Other Characters
•
•
•
salt
wheat / rye
water
yiest
E 510, …
Color
•
•
•
grainsize
density
Ingredients
•
•
•
•
•
•
weight
size
shape
Bio-certificate
Gen-free
Use
•
Food, Alimentation
Object orientation: grassland is grassland
Classifications
•
Grassland = pasture
= lawn
= natural grassland
Characterization
•
Growth structure
•
•
•
Growth density
•
•
•
Grazing
Fodder mowing
Sports
Management
•
•
•
Wet soil
Surface water
Use
•
•
•
•
closed
sparse
Moisture
•
•
•
homogenous
heterogenous
Multiple mowing
Single mowing
Ecosystem type
•
Inland marsh
Outcome – EAGLE concept
Two representations of the same concept (conceptual
data model )
•
EAGLE data model (Object orientation):
UML model as practical implementation and
visualization of the conceptual data model
•
EAGLE matrix:
Excel cross table as tool for semantic analysis and
comparison of different LC/LU classifications
Structure of EAGLE Data Model & Matrix
information on landscape separated into three blocks…
LAND COVER Components – LCC block
Abiotic/Artificial, Biotic/Vegetation, Water
LAND USE Attributes and – LUA block
Agriculture, Forestry, Industry, Transportation etc.
further CHARACTERISTICS – CH
status, spatial pattern, bio-physical parameters,
habitat types etc.
Compatibility with INSPIRE LC&LU DS &
LCML (ISO 19114-2) descriptors
A.) Land Cover Components [LCC]
Describe real landscape elements from pure LC point of view.
(Read Matrix from top to bottom.)
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)
C.) further Characteristics [CH]
Characterize landscape with additional properties,
flexible extendable list (extract shown only)
EAGLE model: from matrix to UML chart
EAGLE model: from matrix to UML chart
15.10.2013
EAGLE, EIONET NRC Meeting, Copenhagen, Denmark
EAGLE model: from matrix to UML chart
15.10.2013
EAGLE, EIONET NRC Meeting, Copenhagen, Denmark
EAGLE model: from matrix to UML chart
Structure of EAGLE data model (UML)
INSPIRE LC data specs
EAGLE
data model
CH
- ...
- ...
+
CH
Characteristics
ABIOTIC LCCs
(Artificial/Natural)
LC Unit
(1..* LCC)
LU Attribute
= HILUCS
[extended]
+
CH
BIOTIC LCCs
(Vegetation)
+
- ...
- ...
- ...
- ...
CH
WATER LCCs
+
- ...
- ...
- ...
- ...
© Stephan Arnold
II. Application examples – How to use
EAGLE data model & matrix ?
Describing landscape with EAGLE: „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
Describing landscape with EAGLE: „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
IV. Strategy and Outlook
Integration scheme of EAGLE concept
C O P E R N I C U S
European &
Urban
HR
CLC
Global Level
Atlas
Layers
LPIS
GEO
LUCAS
Global LC
EAGLE
Concept
National
&
Sub-National
Level
National (A)
Land Monitoring
National
CLC
Regional (a)
Land Monitoring
National (B)
Land Monitoring
Regional (b)
Land Monitoring
© Stephan Arnold
EAGLE goes public – last Meetings & Presentations
17-18 Oct '12: EIONET NRC Meeting EEA, Copenhagen, DK
18-19 Oct '12: geoland2 Forum8, DK
8-9 Nov '12: ETC SIA Consortium, Malaga, ES
14 Nov '12: German GMES Conference, Düsseldorf, DE
14 Feb '13: HLANDATA Final Conference, Madrid, ES
5 Mar '13: NFP GMES Working Group, Dublin, IR
7 Mar '13: LUCAS Advisory Group Meeting, LUX
15 Mar '13: EAGLE Meeting (post-HELM), Haifa, IL
3-6 Jun '13: EARSeL Symposium (paper), Matera, IT
23 Jun '13: EAGLE Workshop INSPIRE Conf. Florence, IT
18-19 Sep '13: Hungarian Conference on Spatial Information, Gyöngyös, HU
25 Sep '13: GIONET Summer School, Warsaw, PL
17-18 Oct '13: EAGLE meeting (post-HELM), Budapest, HU
5 Nov '13: EAGLE/LCCS tête-á-tête, Wageningen, NL
23-25 Oct '13: European Forum for Geostatistics, Sofia, BG
EAGLE Publications
EARSeL:
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: Rosa Lasaponara (Editor): EARSeL symposium proceedings
“Towards Horizon 2020”, June 2013, Matera, Italy.
(download from EAGLE web site)
FP7 HELM:
- Report on Task 4.3 “Enhancing the European Land Monitoring
System – collection of criteria for a future data model”
- HELM Booklet with executive summaries of all tasks
EAGLE activities I (EEA umbrella)
Foreseen further development of data model regarding …
- Temporal aspects: several time dimensions (long-term
continuous trends, singular permanent changes,
season/cyclic changes, daily/rhythmic „changes“)
 future availability of high frequent multi-temporal
imagery (LANDSAT8, Sentinel2, GEOSS)
- Scale aspect: vertical concept for different level of
details (LoD)
- Refinement of model components (UML-classes),
attributes and characteristics
15.10.2013
EAGLE, EIONET NRC Meeting, Copenhagen, Denmark
EAGLE activities II (EEA umbrella)
•
Closer conceptual exchange with ISO LCML / LCCS,
CEN
•
Synergetic requirements and cooperations between
land monitoring and statistical community
•
Involve more key stakeholders interests (EEA,
Eurostat, DGs): heading for contribution from EAGLE data
model to future land monitoring system 2015 onwards
•
Fostering technical interoperability (mainly tackled by
INSPIRE) and thematic harmonization
•
EAGLE workshop 2014 (1st / 2nd quarter)
15.10.2013
EAGLE, EIONET NRC Meeting, Copenhagen, Denmark
Key Messages
The EAGLE concept…..
• allows semantic comparison and translation
between different classification systems
• provides a flexible framework for integration of
different land related datasets (postum, recent, future)
• fosters harmonisation of national & European &
global LM activities through provided data model
following bottom-up approach
Thank you for your attention !
Further Information
© Barbara Kosztra
sia.eionet.europa.eu/EAGLE
Contact us for questions or feedback
eagle@geo-concept.de