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known that hyperspectral data can help to characterize some of the relations between soil composition, vegetation
characteristics, and natural/artificial materials in urbanized areas. During the project we collected DAIS and
ROSIS data over the urban test area of Pavia, Northern Italy, though due to a late delivery of ROSIS data only
DAIS data was used in this work. Here we show results referring to an accurate characterization and classification
of land cover/use, using different supervised approaches, exploiting spectral as well as spatial information.
We demonstrate the possibility to extract from the hyperspectral data information which is very useful for environmental
characterization of urban areas.
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