the role of rs techniques in european land use database construction

14-10-1999

Centre for Geo-Information1

The Role of RS Techniques in European Land Use Database Construction

The Role of RS Techniques in European Land Use Database

Construction

Henk Kramer

14-10-1999



•introduction

•most important satellite sensors

•available datasets

•land use database construction

•conclusions

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introductionscanning the earth

blue

gree

nre

d

near

infr

ared

mid

infr

ared

ther

mal

infr

ared

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color photoblue, green and red

false color photogreen, red and near-infrared

different ways to look at satellite images

false colorred, near-infrared and mid-infrared

Landsat TM: blue, green, red, near-infrared and mid-infrared

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•introduction




•conclusions

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most important satellite sensors :

– NOAA AVHRR

– IRS-1C WIFS

– RESURS-01 MSU-SK

– LANDSAT TM

– SPOT XS

– IKONOS

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NOAA AVHRRspatial resolution : 1.1 kmscene size : 2399 km wide

pole to pole

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IRS-1C WIFS

spatial resolution : 188 mscene size : 810 x 810 km

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RESURS-01 MSU-SK


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Landsat TM


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SPOT XS


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IKONOS

spatial resolution : 4 m mss 1 m panscene size : 11 x 11 km

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•introduction




•conclusions

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available datasets :

– CORINE

– IGBP

– PELCOM

– pan-european

– created with RS techniques

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CORINE land cover databaseCoordination of Information on the Environment

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CORINE land cover database

methodology :

update frequency unknown

computer-assisted photointerpretation of Earth observation satellite images, with the simultaneous consultation of ancillary data

reference date :1986 - 1997, country dependend

plans for update recently announced

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Detail IGBP global land cover databaseInternational Geosphere-Biosphere

Programme

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IGBP global land cover database

multitemporal unsupervised classification of NDVI data with post-classification refinement using multi-source earth science data.


methodology :

reference date :April 1992 - March 1993

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PELCOM 1km land cover databaseConif. ForestDecid. ForestMixed Forest

Rainfed arable landIrrigated arable landPermanent cropsShrublandBarren landPerm. Ice and SnowWetlandsWater

Grassland

Urban

Pan European Land Cover Monitoring

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stratified multitemporal supervised classification of NDVI data with post-classification refinement using multi-source earth science data.


methodology :

reference date :Januari - December 1997

PELCOM 1km land cover database

Methodology makes frequent update possible

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CORINE IGBP PELCOM

3 datasets in detail

100 m raster

44 classes

focus on :

scale 1 : 100.000

1 km raster

17 classes

focus on :

scale 1 : 5 milj.

1 km raster

13 classes

focus on :

scale 1 : 2 milj.

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•introduction




•conclusions

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land use database construction

test case Paris

Landsat TM image 1984 and 1998

visual interpretation

proces :

stratified supervised classification

change detection with GIS

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multitemporal Landsat TM images

1984 1998

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visual interpretation

stratification urban-rural

1984 1998

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stratified supervised classification

1984 1998

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change detection with GIS1984

1998

GISDSS

rules

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conclusions

•RS techniques play an important role in land use database construction

•satellite information available from global to local scale

•classification of land use

•providing information for monitoring with GIS

•updating land use databases

the role of rs techniques in european land use database construction

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