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INTEGRATING GIS INFORMATION AND REMOTELY SENSED DATA
FOR PRODUCING EUROPEAN FOREST AND LAND COVER DATA SETS*
C.G. Hoffmann and D.P. Roy
European Commission
Joint Research Centre (JRC)
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processes
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Space Applications Institute (SAI)
Environmental Mapping and Modelling Unit, T.P. 442,
1-21020 Ispra (VA), Italy
ABSTRACT
Jig and
The Environmental Mapping and Modelling Unit (EMAP) has initialised
projects to produce European forest and land cover digital maps using
NOAA-AVHRR data at an approximate scale of 1:2 Million. This paper
illustrates the complementary usage of high and low spatial resolution
remotely sensed data and geographical information system (GIS) information.
narks for
iational
ger-
Régionalisation, stratification, pixel class labelling, and classification
validation procedures are performed at a variety of spatial scales using
ancillary remotely sensed preclassified data and spatial and aspatial
information held in a GIS. Preliminary mapping results are presented. The
processing procedures described in the study could not be implemented in an
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94.
efficient and reliable manner without using GIS techniques.
for
X.
INTRODUCTION
icture for
Remotely sensed data may be analysed to infer spatio-temporal information on surface
processes at regional to global scales and consequently are an important source of information
for GIS. The current user situation is characterised by a dramatic increase in the availability
r of
*Presented at the International Society for Photogrammetry and Remote Sensing "Workshop
on New Developments in Geographic Information Systems. Milan, Italy, 6-8 March 1996.
s,