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derived from EUROSTAT for NUTS 2. While not all
validation data for Belgium, France, Germany and Holland
were available and in addition only NUTS 2 regions with
less than 10% cloud coverage were selected, it was
possible to examine the surface area coverage correlation
of cropland in 27 regions (R2-0.71) and of forest in 20
regions (R2=0.75).
Percent Crop Area Regression : Belgium-France-Germany-Holland
60
1
50
1
40
1
AVHRR % = 0.89 EUROSTAT% + 2.56 (R2= 0.71)
T T T T T T T
0 10 20 30 40 50 60
ESTIMATED AVHRR CLASSIFICATION PERCENTAGE CROP AREAS
EUROSTAT NUTS-2 PERCENTAGE CROP AREAS
Figure 2: Regression showing the surface percent crop area
coverage in 27 NUTS 2 regions.
Percent Forest Area Regression : Belgium-France-Germany
40
1
30
1
20
1
10
L
AVHRR % = 0.73 EUROSTAT% + 1.47 (R2 = 0.75)
T T T T
10 20 30 40
ESTIMATED AVHRR CLASSIFICATION PERCENTAGE FOREST AREAS
EUROSTAT NUTS-2 PERCENTAGE FOREST AREAS
Figure 3: Regression showing the surface percent forest
arca coverage in 20 NUTS 2 regions.
CONCLUSION
This paper has illustrated the complementary usage of
remote sensing data and GIS information in the production
of a digital European land cover map at an approximate
scale of 1:2million. The high repetitive rate on which each
process has to be carried out and the large amount of data
requires the efficient integration of diverse data sets and a
reduction in user interaction. The proposed methodology
indicates that a high degree of automatization can be
implemented but that some user interaction particularly in
the assignment of land cover classes is and should still be
required. The processing procedures described in this study
could not be implemented in an efficient, reliable or timely
Manner without the use of GIS techniques.
357
ACKNOWLEDGEMENTS
The author would like to thank J. Mégier and S. Folving for
their assistance and contribution, the representatives of the
MARS project for furnishing the data, D. Roy for the
provision of the compositing algorithms and last but not
least A. Stein for the invaluable technical assistance.
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