Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/1967
AuthorsDell’Acqua, F.* 
Gamba, P.* 
Casella, V.* 
Zucca, F.* 
Benediktsson, J. A.* 
Wilkinson, G.* 
Galli, A.* 
Malinverni, E. S.* 
Jones, G.* 
Greenhill, D.* 
Ripke, L.* 
TitleHySenS data exploitation for urban land cover analysis
Issue DateFeb-2006
Series/Report no.49/1
URIhttp://hdl.handle.net/2122/1967
Keywordshyperspectral remote sensing
urban land use
vegetation distribution
classification
Subject Classification05. General::05.09. Miscellaneous::05.09.99. General or miscellaneous 
AbstractThis paper addresses the use of HySenS airborne hyperspectral data for environmental urban monitoring. It is 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.
Appears in Collections:Annals of Geophysics

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