Land Cover Map for Portugal using VEGETATION data
نویسندگان
چکیده
In this work we begin by performing a Principal Component Analysis (PCA) on NDVI computed over clear-sky pixels from VEGETATION data. Two techniques (i.e. ISODATA and Fuzzy Clustering) are applied to the two retained Principal Components and used to produce a land cover map over Portugal. Quality of performed classifications is assessed based on a confusion matrix, using as reference the Corine Land Cover Map. Obtained results seem to be quite reasonable, namely in the case of forests and crops and show to be comparable with other classifications such as GLC2000.
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