The aim of the study was to elaborate a methodology for forest mapping based on high resolution satellite data, relevant for reporting on forest cover and spatial pattern changes in Europe. The Carpathians were selected as a case study area and mapped using 24 Landsat scenes, processed independently with a supervised approach combining image segmentation, knowledge-based rules to extract a training set and the maximum likelihood decision rule. Validation was done with available very high resolution imagery. Overall accuracies per scene ranged from 93 to 96%. The labelling disagreement in overlapping areas of adjacent scenes was 6.8% on average.
The proposed methodology is easily applicable to other regions in Europe. It allows an accurate forest-non-forest map to be obtained in a quick and cost effective manner, spatially more detailed than the currently available European data sets.
KOZAK Jacek;
ESTREGUIL Christine;
OSTAPOWICZ Katarzyna;
2009-01-29
ELSEVIER SCIENCE BV
JRC43570
0303-2434,
http://dx.doi.org/10.1016/j.jag.2007.04.003,
https://publications.jrc.ec.europa.eu/repository/handle/JRC43570,
10.1016/j.jag.2007.04.003,
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