spatial analysis at eea and corine land cover

Spatial Analysis at EEAand CORINE Land Cover

GeoForum meeting, EEA, 18th May 2010

Outline

• GIS at EEA from the desktop user perspective–Context–Spatial analysis

• CORINE Land Cover–Project set up–Results–Derived analysis examples

EEA mission

The EEA aims to support sustainable development and to help achieve significant and

measurable improvement in Europe’s environment, through the provision of timely,

targeted, relevant and reliable information to policy-making agents and the public.

By means of...

• Reports, publications spatial analysis, maps• Indicators spatial analysis, maps• Datasets download spatial data• Online datasets

Our spatial data context

• Subsidiarity principle local authorities, regions, countries produce data

• Target: 1:100,000• The problem: to have harmonized comparable

data• Data flows

EIONET & data flows

EEA mapping standards

• www.eionet.europa.eu/gis• Guideline to data & maps:• http://www.eionet.europa.eu/gis/docs/EEA_GISgui

de.doc– Map templates– Metadata editor/metadata profile– Good practices: projections, formats, how to report

spatial data

http://www.eionet.europa.eu/gis

http://www.eionet.europa.eu/gis/docs/EEA_GISguide.doc

http://www.eionet.europa.eu/gis/docs/EEA_GISguide.doc

Spatial analysis

• Try to answer policy questions in a dynamic changing environment: how much?

• Independently assess the state of environment and drivers: land use/land cover change, water availability, agriculture and environment, ...

• Produce derived datasets: accessibility maps, fragmentation indexes, urban temperature, ...

• Homogenous data rather than very detailed• Low amount of data specialized spatial analysis• Techniques: all available, but very raster based

Examples

• Hydrology: ECRINS• Derived datasets: Green Background• Fragmentation• Accessibility maps• Land cover statistics: trends of land cover change

ECRINS – hydro model

Green Background map

Landscape fragmentation

Accessibility maps

Corine Land Cover (CLC)

• Scale 1:100.000, seamless vector database

• 44 classes in 3 hierarchical levels

• 25 ha Minimum Mapping Unit (MMU)

• 5 ha MMU for land cover changes

• 39 countries, about 5.5 Million square Km

• Classes illustrated:

http://etc-lusi.eionet.europa.eu/CLC2000/classes

http://etc-lusi.eionet.europa.eu/CLC2000/classes

Main political demand

• Environment PolicyHabitat Directive (Natura2000), Biodiversity convention , 2010

targetWater Framework DirectiveIntegrated Coastal Zone ManagementINSPIRE

• Common Agriculture PolicyImpact of agricultural policy on the environment

• Regional PolicyEuropean Spatial Development PerspectiveTerritorial cohesion

• Research PolicyClimate change

+ others

Ortho-rectified satellite image database

Visual image interpretation (national teams)

Verification – qualitative (EEA - ETC/LUSI)

Final vector database (national team)

Validation – quantitative (EEA - ETC/LUSI)

European Data integration – vector & raster (EEA - ETC/LUSI)

Methodology

CLC concept

IMAGE200x CLC200xCentralised activity

based on satellite images

Decentralised activity based on national

CLC databases

Organisational set-up

EEAEEA JRCJRC

LCTULCTU IMAGE2000 team

IMAGE2000 team

National CLC2000 teamsNational CLC2000 teams

European Steering

Committee

European Steering

Committee

National Steering

Committee

National Steering

Committee

Methodology

Dissemination

WWW

CD-ROM

CLC1990 pre-processing

Image processing

Change detectionand mapping

Data integrationand validation

IMAGE2000

Satellite images 1990

CORINE land cover1990 (CLC1990)

(Topologically andgeometrically) corrected

national CLC1990

National CLC2000

Digital Elevation Model,

Ground Control Points

Raw satellite images2000

IMAGE2000

IMAGE2000

Satellite images 1990

Corrected nationalCLC1990

(Thematically) correctednational CLC1990

National CLC2000

Corrected nationalCLC1990

European CLC2000

Corrected EuropeanCLC1990

European CLC2000

Corrected EuropeanCLC1990

IMAGE2000

PreparationEEA, EC, ETC/LC, NFP

Organisational structure

Budget

Time-plan

Product definition

Call for tenders

History

• CLC1990 • Process from 1985 to 1995 • 10-year process • Growing process • No common data policy

• CLC2000 • Coordinated approach • Snapshot (2000 +/- 1 year)• 29 countries • Agreed data policy for

image and mapping data • Output:

– CLC2000– CLC changes – CLC90 corrected

CLC2006

• Why?–High interest in land cover changes –More frequent updates (< 10 years) –Better fulfil reporting obligations

• Integration into GMES • Reliable, up-to-date and accessible information on the

environment for Europe

–GMES Fast Track Service on Land (delivery 2008) • CLC2006 update• 2 high-resolution layers

GMES FTS Land first set of core land cover data products

CLC 2006

Built-up area / sealing

CLC Changes

CORINE Land Cover map

Validation of European CLC data

• Need for an independent database –LUCAS – Land Use land Cover Area Sampling

• Statistical sampling grid

• Similar timeframe

• 10.000 points over Europe (18 countries)

• Field survey of land use and land cover

• Field photographs

• Re-interpretation of field photographs

# # # # ## # # # # # # # # # ## # # # # # # # # # # ## # # # # # # # # # # # #

#

# # # # # # # # # # # # # #

## # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # ## # # # # # # # # # # ## # # # # # # # # # # # ## # # # # # # # # # # # # # # ## # # # # # # # # # # # # ## # # # # # # # # # # # # ## # # # # # # # # # # # ## # # # # # # # ## # # ##

# #

# # ## # # #

# # # # # # ## # # # # # # # #

# # # # # # # # # ## # # # # # # # # #

# # # # # # # # # ## # # # # # # # # # ## # # # # # # # # # #

# # # # # # # # # #

# # #

## # #

# # # # # # # # # # # # # ## # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # ## # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # ## # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # ## # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # # # # ## # # # # # # # # # # # # # # # # # # # # # ## # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # ## # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # # # # # # # # # ## # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # ## # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # ## # # # # # # # # # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # ## # # # # # # # # # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # # # # # # # ## # # # # # # # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # # # # # # # ## # # # # # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # # # # # # ## # # # # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # # #

# # # # ## # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # ## # # # # # # # # # # # #

# # # # # # # # # #

# # # # # #

# # # # #

# # ## # #

# # # # # # # #

# # # # # # ## # # # # # # # # #

# # # # # # # # # # #

# # # # # # # # #

# # # # # # # # # # ## # # # # # # # # #

# # # # # # # #

# # # # # # #

# # # # # # # ## # # # # # # # ## # # # # #

# # # # #

# # # # ## # # # #

# #

#

#

#

#

#

#

#

# ##

## #

##

#

##

#

#

#

#

##

#

#

##

##

##

#

#

#

#

#

#

#

#

#

#

##

##

#

#

##

##

#

#

#

#

##

#

#

#

##

##

##

#

#

#

#

#

#

##

##

##

#

#

#

##

##

#

#

##

#

#

#

#

#

#

#

##

#

#

#

#

#

#

#

##

#

#

#

#

#

#

#

#

##

#

#

#

#

#

##

#

#

#

#

#

##

##

#

#

#

#

#

#

##

#

#

#

#

#

#

##

#

#

#

#

#

##

#

##

#

#

#

#

##

##

#

#

#

#

#

##

##

##

#

##

##

#

#

#

##

##

##

#

#

##

#

##

#

#

##

##

#

##

##

#

#

#

#

#

#

##

##

##

#

#

##

##

#

##

##

#

#

#

#

#

#

##

#

#

##

##

#

#

#

##

#

#

#

##

#

#

#

#

##

##

##

##

#

#

#

#

#

##

#

#

#

#

##

#

#

#

##

#

#

#

#

##

##

#

#

##

##

##

##

##

#

#

#

#

#

##

##

#

#

#

#

#

##

#

##

#

##

#

#

#

##

##

##

#

##

#

#

#

#

#

##

#

#

#

#

#

##

##

#

##

#

#

#

##

#

#

##

#

#

#

#

#

#

#

#

##

#

##

##

##

#

#

#

##

##

#

#

#

#

#

#

##

#

#

#

#

##

##

#

##

#

#

#

#

##

#

##

##

#

#

#

#

#

#

#

##

##

#

#

#

#

##

##

#

#

#

#

#

#

#

#

#

#

#

#

##

##

#

#

##

#

#

#

#

#

#

#

##

#

#

#

##

#

##

##

#

##

#

#

##

##

#

##

##

#

#

##

#

#

#

#

##

##

#

#

#

#

#

##

##

#

#

#

#

##

##

##

#

#

#

#

#

##

##

#

#

#

#

#

##

##

##

#

##

#

#

#

#

##

#

##

##

#

#

#

#

##

#

#

#

##

#

#

##

#

#

#

#

#

#

##

##

##

#

##

#

##

#

#

#

#

##

##

#

#

#

##

#

#

##

##

#

##

##

#

#

#

#

#

#

#

##

##

#

##

##

#

#

#

#

#

#

##

#

#

#

#

#

#

#

#

##

##

#

##

#

#

#

#

#

#

#

#

##

##

#

##

##

#

#

#

#

##

##

#

##

#

#

#

#

#

#

##

#

##

##

#

#

##

##

##

#

#

##

##

##

#

#

#

#

#

#

#

##

##

#

#

#

##

#

##

#

##

#

#

#

#

#

##

##

##

#

##

#

##

#

##

#

#

#

##

#

##

##

#

#

#

#

#

#

#

##

##

##

#

#

#

##

##

#

#

#

##

##

#

#

#

#

#

##

##

#

##

#

#

#

#

#

#

#

#

##

##

#

##

##

#

#

#

#

#

#

##

##

#

#

#

#

#

#

#

##

#

#

##

##

#

#

#

##

##

#

##

#

#

#

#

##

#

##

##

##

#

##

#

#

#

#

##

##

#

#

#

#

#

##

##

##

#

##

#

#

#

##

#

#

##

#

#

#

#

#

#

##

##

##

##

#

#

#

##

#

##

#

#

#

#

##

##

#

#

##

#

#

#

#

##

##

#

#

#

#

#

##

#

#

#

#

#

#

#

#

##

##

#

##

#

#

##

#

##

##

##

#

#

#

#

#

#

#

#

##

#

#

#

#

#

#

#

##

#

#

#

#

#

#

##

#

#

#

#

#

##

#

##

#

##

##

##

#

#

#

#

##

#

##

#

##

#

##

##

#

##

##

#

#

#

#

#

#

##

#

#

#

#

#

#

#

##

#

#

##

#

#

#

#

#

#

#

#

#

#

#

#

# #

# # ###

## # # # # ## # # # #

# # # # # # ##

# # #

# # # # # # # # # ## # # # #

# # # # # # # # # # ## # # # # # #

# # # # # # # # # # # # # # # # #

# # # ## # # # #

# # # # # #

# # # # ## # #

# # ## # # # #

# # # ##

# # # # # # # # # # # # # #

# ##

# # ## #

# ##

#

# # # # ## #

## # # # # # # # #

# # # # # # # # ## # # # # # # # # # # # #

# # # # ##

# # ## # # # #

# # # # #

# ## # # # # # # # # # # # # # # # # # #

# # # # # # # # # ## #

# # # # # # #

#

# # # # # # # # # # # # # ##

# # # #

# # # # # # # # # # # # # # # # # # # #

# # #

# # # #

# # # ## # # # # # # # #

# ## #

# # # # ## # #

# # # # # ## #

## # # #

# # # # # #

# # # #

# # # # # # # # # # # ## # # # #

# ## # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # ##

# # # # # # # # # # # ## #

## # # # # # # # #

# # # # # # # # # # # # # #

# # # # # # # # # # #

# # # # # ## #

# ## # # # # #

# # # ## # # # # #

# # # # # # # # # #

# # # # # # # # # #

# # # # # # # # # ## # #

# # # # # # # # # # # # # #

# # # # # # # # # # # # # #

# # # # # # # # # # # # # # #

# # # # # # # # # # # # #

# # # ## # # # # #

# # # # # # # # # # # # #

# # # # # # # ## #

# # # # # # # # # # # # #

# # # ##

# # #

# # # # #

#

# ## #

#

## ## # # ## #

## #

# # # #

##

#

# #

# # #

# #

# # #

# # #

# # # # # #

# # # #

# # # #

# # # #

# # # # # # # # # #

# #

# # # # # # # # # # # # # # #

#

# # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # ## # # #

# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #

# # # # # ## # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #

## # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #

## # # # # # # # # # # # # # # # # # # # # # # # #

# ## # # # # # # # # # # # # # # # # # #

#

# # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # #

# # # # # # # # # # # #

# # # # # # # # # # #

# # # # # # # #

# # # # #

# # # # #

# # # #

#

#

#

# #

# # # # #

#

# # # # # # # # #

# #

## # #

# # # # # # # # # #

#

#

# # # # #

#

#

##

#

#

#

## # #

# # # # # ##

#

# # # # # # # #

#

# # # ##

# # # #

#

# # # #

# # #

#

# # # # # ## #

# # # # #

#

#

# # # # # # # #

#

# # # # # # # # #

#

# # # #

## # # # #

#

# # ## #

#

# # # #

# #

#

#

#

# # # #

#

#

# # # # #

#

#

# # #

# # # # #

#

# # # # # #

# #

#

# # # # # # ## # # # ##

##

## #

#

# # # # # ## # # # # # #

#

# # ## # # # #

#

# # # # ##

#

# #

# # ## #

#

# #

# # # # #

#

# # # # #

##

# # # # #

# #

#

# #

# # # # # #

#

# # # # # # ##

#

# # ###

#

# #

# # # #

# #

#

##

#

# # # # # #

# #

# # #

##

# # # # # #

#

#

# # # # # # # # #

# # # # # #

# # # # # # #

## # # # # # #

## #

# # # # #

# # # # # # # # # # #

# ## # # # # # # # #

# # # # # # # # # # # # #

# # # ## # # # # # #

# # # # # # # # # # #

# # # # # # # # #

# # # # # # # ##

# # # # # # # # # # # # # #

# # # # ## # # # # # #

# # # # # # # # # # # #

# ## # # # # # # # # #

# # # # # # # # # #

# ##

##

## #

# # # #

# # # #

# # #

# #

#

##

#

#

#

##

####

#

#

###

#

#

##

##

#

#

#

#

#

##

#

##

##

#

#

##

#

#

#

##

#

#

##

#

#

###

#

#

#

#

#

#

#

#

##

#

#

##

#

###

#

##

#

##

#

#

#

#

#

#

##

#

#

###

###

##

#

###

#

###

###

##

##

#

###

#

###

##

##

##

#

#

#

#

##

####

####

###

###

#

###

#

###

##

#

#

##

###

##

###

#

###

##

####

##

##

#

#

##

##

##

#

# #

#

##

###

#

#

#

#

#

#

#

#

###

#

##

#

#

#

##

#

#

##

#

#

###

#

##

#

###

#

#

#

##

#

#

#

#

#

#

#

#

#

#

#

#

#

# ##

##

# # #

# ## #

#

#

#

#

##

#

#

#

###

#

#

#

#

#

#

#

###

#

##

#

#

#

#

##

#

#

#

#

###

#

##

##

#

#

#

## #

#

#

#

#

#

#

#

#

#

#

##

##

#

###

#

###

##

###

#

##

#

###

#

##

#

#

###

#

#

#####

#

#

#####

#

###

#

#

###

##

##

#

#####

#

#

###

#

##

##

#

#

###

#

###

#

##

##

#

###

##

###

##

#

##

#

#

#

#

##

#

#

##

##

##

#

#

##

#

#

#

##

#

#

###

##

#

#

#

#

##

#

##

#

##

##

#

#

##

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

###

#

#

#

###

#

##

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

##

#

#

#

#

#

###

#

#

###

##

#

#

###

##

#

#

###

##

#

#

##

##

#

#

#

#

#

#

#

#

#

#

#

##

##

##

#

#

##

##

#

#

##

##

##

#

##

##

###

#

#

#

#

##

###

##

##

###

##

##

###

##

#

#

#

#

#

#

###

#

#

#

#

#

#

#

#

#

##

##

#

###

##

#

###

###

###

###

## #

###

#

##

#

#

##

#

###

#

#

##

##

#

#

##

#

###

#

##

#

#

#

###

#

#

##

#

# #

# # ##

#

##

# ## # # # #

# # # # # # ## # # # # # # # # # #

# # # # # # #

# # # # # # # # #

# # # # # # # # ## # # # # # # # # #

# # # # # # #

# # # # # #

# # # # # # # ## # # # # # ## # # # # # #

# # # # # ## #

# # # # ## # # ## # # #

# # # # # ## # # # # # # # # # ## # # # # # # # # # # ## # # # # # # # # # ## # # # # # # # # # # # ## # # # # # # # # # # # # ## # # # # # # # # # # # ## # # # # # # # # # # # # # ## # # # # # # # # # # # # #

# ## # # # # # # # # # # # # # #

# # ## # # # # # # # # # # # # # #

# ## # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # ##

# # # # # # # # # # # # # # ## # # # # # # # # # # # # # ## # # # # # # # # # ## # # # # #

# # # # ## # # ## # # # # # # # # ## # # # # # # # # # # # # # ## # # # # # # # # # # # # # # #

# # ## # # # # # # # # # #

# # # # # # # # # # # # # # # # # # ## # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # ## # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # ## # # # # # # # # # # # # # # # # # ## # # # # # # # # # # # # # # # # # ## # # # # # # # # # # # # # # ## # # # # # # # # # # # # # ## # # # # # # # # # # # # ## # # # # # # # # # # # ## # # # # # # # # # # ## # # # # # # # # ## # # # # # # # ## # # # # # # # # ## # # # # # # # # ## # # # # # # # ## # # # # # # # # # ## # # # # # # # # # # ## # # # # # # # # # # # ## # # # # # # # # # # ## # # # # # # # # ## # # # # # # # # # # # ## # # # # # # # # # # # # ## # # # # # # # # # # # # # ## # # # # # # # # # # # # # # ## # # # # # # # # # # # # # # ## # # # # # # # # # # # # # # # ## # # # # # # # # # # # # # # ## # # # # # # # # # # # # # # # ## # # # # # # # # # # # # ## # # # # # # # # # # ## # # # # # # # # # ## # # # # # # # ## # # # # # # # ## # # # # # # # ## # # # # # # # ## # # # # # # #

# # # ## # # # # #

# # # # # # # # ## # # # # # # # # ## # # # # # # # # ## # # # # # # # ## # # # # ## # # # ## # # # ## # # # ## # # #

# # # #

# #

# #

#

# ## #

# # #

# # # # # #

# # # # # ## # # #

# # # # # # # # # # # # # #

# # # # # # # # ## # # # # # # # # #

# # # # # # ## # # # # # #

# # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # ## # # # # # # #

# # # # # # ## # # # # # # # # #

# # # # # ## # # # # # # # # # #

# # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # #

## # # # # # # # # #

# # # # # # ##

# # # # # # ##

# # # # # # # # # #

# # # # # # # #

# # #

# # # # # # # # #

# # # # # # #

# # # # # # #

# # # # # # # # #

# # # # # # # # # #

# # # # # # # #

# # # ## # #

# # # # # #

# # # # # # #

# # ##

# # # # # # # # # #

# # # ##

# # # # # # # #

## # # # # #

# # ## # # # # #

# # # # # # # # #

## # # # # # # #

# # # # # # # #

# # # # # # # # #

# # # # # # # #

# # # # # # # # #

# # # # # # # # # #

# # # # # # # # # # #

# # # # # #

# # # # ## # # # #

## # # # # #

# # # # # # # # # # #

# # # # # # # # # #

# # # # # #

#

# # #

# # # #

#

# # # #

#

#

# # ## #

# # ## # #

# # # # # # #

# # # # # # #

# # # # # # # #

# # # # # # # #

# # # # # #

# # # # # # # #

# ## # # # # #

# # # # # # # # # #

# ## # # # # #

# # # # # # # # # #

# # # # # # ## #

# # # # # # # # # #

# # # # # # # # #

# # # # # # #

# # # # # # # # #

# # # # #

#

# # # # # # # #

# # # # # # # #

# # # # # # ##

# # # # # # # # #

# # # # # # #

# # # # # # # #

# # # # # # # # #

# # # # # # # # #

# # # # # # # # # # #

# # # # # # # # # # # #

# # # # # # # # # #

#

# # #

# #

# # # ## # # # ## # # # # # #

#

# # # # ## # # #

#

# # # # ## # # #

# # # #

# # # # # # # # # #

# # # # # # # # # # # # # # # #

# # # # # # # # # # # #

# # # # # # # # # # # # # #

## # # # # # # # # # # # # # #

# # # # # # # # # # # # # #

## # # # # # # # # #

# #

# # ## # # # # ## # # # # # ## # # # # # # # #

# # # # # # # ## # # # # # # ## # # # # # #

# # # # # ##

# # ## # # # # # ## # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # # # # # # # #

# # # # # # # # # # # # # # # # #

# # # ## # # # # # # # # # # # # # # # #

#

# # # # # # # # # # # # # # # # # ## # # # # # # # # # # # ## # # # # # # ## # # # #

Validation results

Display of LUCAS points on IMAGE2000

Interpretation of point from satellite image and field photographs

Creation of error matrix

Overall accuracy: 87.0% ± 0.8%

CLC - a success story

• Number of downloads from EEA web site

• Applications

• Value of downstream applications

Corine land cover downloads from http://dataservice.eea.eu.int

0

500

1000

1500

2000

2500

3000

CLC2000

Use of Corine Land Cover Breakdown per economic sector

Agriculture14%

Dem ography2%

Education8%

Forestry9%

Health1%

OthersSector6%

Environm ent34%

Energy3%

Transport3%

Tourism1%

Research14%

Physical Planning

5%

Investment cost CLC2000: 13 Meuro

Estimated revenues generated by underpinning downstream activities using CLC: 250 Meuro*

*Based on analysis of 500 activities out of 5658 registered users

State & outlook of Europe’s Environment

Urban aglomerations

Example: Population density (based on CLC and Eurostat)

+

=

Source: EEA, JRC (2005)

Main annual conversions between agriculture and forests/ dry semi-natural land in ha/year

0 5 10 15 20 25 30

Withdrawal of farming withoutsignificant woodland creation

Withdrawal of farming with woodlandcreation

Conversion from wetlands toagriculture

Conversion from dry semi-natural &natural land to agriculture

Conversion from forest to agriculture

CORRESPONDANCE BETWEEN LAND COVER CHANGES (CLC LEVEL 3) AND THE LAND COVER FLOWS

132 133 141 142 211 212 213 221 222 223

Dump sites Construction

sites Green urban

areas

Sport and leisure

facilities

Non-irrigated arable land

Permanently irrigated land

Rice fields Vineyards Fruit trees and berry

plantations Olive groves

243 Land principally occupied by agriculture w ith significant areas of natural vegetation

Extension of dumpsites

ConstructionDevelopment of green urban areas

Extension of sport and leisure facilities

Intensive conversion of marginal land to agriculture






244 Agro-forestry areasExtension of dumpsites



Intensif ication of agriculture



Planting of vineyards, fruit and olive trees over arable & pasture



311 Broad-leaved forestExtension of dumpsites



Intensive conversion of forest to agriculture






312 Coniferous forestExtension of dumpsites









313 Mixed forestExtension of dumpsites









321 Natural grasslandExtension of dumpsites









322 Moors and heathlandExtension of dumpsites









Land cover change accounts: from maps to statistics

LCF1 Urban land management

LCF2 Urban residential sprawl

LCF3 Sprawl of economic sites and infrastructures

LCF4 Agriculture internal conversions

LCF5 Conversion from other land cover to agriculture

LCF6 Withdrawal of farming

LCF7 Forests creation and management

LCF8 Water bodies creation and management

LCF9 Changes due to natural & multiple causes

Land cover 1990 & 2000 and land cover change are first converted to a grid (below, 1x1 km)

Individual changes are grouped by land cover flows that describe processes

CLC products

1. Ortho-rectified satellite images for the reference year 2006 (+/- 1 year);

2. European mosaic based on ortho-rectified satellite imagery (IMAGE2006);

3. Corine land cover changes 2000-2006;

4. Corine land cover map 2006 (CLC2006);

5. High resolution built-up areas including degree of soil sealing 2006;

The national and regional perspective• Denmark: NERI• http://www.dmu.dk/Udgivelser/Kort_og_Geodata/C

LC2000/• Some regions/countries extend the CLC:

–Andalusia (87000 sq Km, South of Spain)• Better thematic accuracy (CORINE compliant)

• 1:25.000 , no MMU

• Better update frequency (4 years)

• Downdated to 1956

• In general it’s a success: co-ownership, involvement of technical teams, multipurpose

http://www.dmu.dk/Udgivelser/Kort_og_Geodata/CLC2000/

http://www.dmu.dk/Udgivelser/Kort_og_Geodata/CLC2000/

CHANGES ANALYSIS EU 1990-2006

Example

Land cover change

• CLC 1990-2006 available for all EU27 countries except SE, GR, UK, FI

• 3,321,035 square Km• 114,417 square Km changed (aproximately the

size of Bulgaria) for the period 1990-2006 3.45% changed–only 25% are “main land use” changes,–75% are internal conversions

“Main land use” changes

25% of the total changes0.86% of the territory

EU27: 36,200 sq Km (like NL)Per year: 2,300 sq Km (like LU)

Facts

Urban sprawl per year in the EU: 1100 square Km equals to Moscow urban agglomeration area (source UN)

Internal conversions

75% of the total changes2.58% of the territory85540 square Km (bigger than AT)5346 square Km / year (2 times LU)

Most of the internal conversions happened:1st Forest and semi natural2nd Agriculture

Facts

Total turnover 1990-2006

Trends

Change rates differ by Biogeographical Regions

Mediterranean

• Bigger LC change pressure• Patterns are the same, but agriculture competes

with urban for the space

Trends 1990 – 2000 – 2006 (*)

(*) 100% = status in 1990; the lines show the relative increase (trend) for the 2 periods, 1990-2000, 2000-2006

• Urbanisation: same trend, above 0.5% yearly increase• Forest and semi-natural are stable• Wetlands don’t disappear as quickly as in the previous period; strong trend change (from 0.22% yearly loss to 0.06% yearly loss)• Water bodies are created at a slower pace (0.19% yearly increase to 0.08%)

Urban sprawl – trends analysis

Same rate: 0.5% yearly increaseFor EU27 that means aprox. 1100 sq Km per year the surface of Moscow’s urban agglomeration or Ruhr’s region big urban agglomeration

In 2000-2006 more recycling of other urban areas Bigger pressure on forests and seminatural areas

For both time steps, 80% or more is happening in agriculture or already existing artificial areas

Green urban areas– trends analysis

• GUAs grew at a 1% relative increase rate (for both periods) slightly above 100 sq Km a year (75 times London Hyde Park a year)

• In 1990-2006 artificial areas increased by 8%, whereasGreen urban areas increased by 16%

• In the period 1990-2000, green urban areas grew mainly on agricultural areas

• In the period 2000-2006, the recycling of other artificial to green areas was doubled, but they also more forest and semi natural areas were taken

Trends in the coast: 1975 to 2006 (30 years of changes)

•Artificialisation has a constant growth rate: 0.5% relative increase each year

•Water bodies were created in 1975-2000

•Agriculture shows a constant decline•Wetlands and forest and semi-natural decreased heavily (around 10%) in 1975-1990; it has slowed down

Denmark

2682615 Hectares

Denmark changes 1990-2006

Urban Atlas

GlobCORINE

Thank you!

[email protected]

spatial analysis at eea and corine land cover

Documents