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Detecting land cover changes through remote sensing and GIS techniques

TitleDetecting land cover changes through remote sensing and GIS techniques
Publication TypePresentazione a Congresso
Year of Publication2005
AuthorsCatani, F., Ermini L., Kukavicic M., Moretti S., and Righini Gaia
Conference NameProceedings, 31st International Symposium on Remote Sensing of Environment, ISRSE 2005: Global Monitoring for Sustainability and Security
Keywordsgeographic information systems, Hue saturation values, Image fusion, Image fusion techniques, Land cover, Landslide hazard, Landslides, monitoring, Panchromatic/multispectral, Photointerpretation, Principal component analysis, Principal Components, Remote sensing, Remote sensing and GIS, Risk assessment, Satellite images, Sustainable development
Abstract

This note concerns the updating of the land cover map of the Arno River basin (9.000 km2) developed in the frame of a research project aimed at landslide risk assessment. The land cover map has been produced through the analysis of panchromatic/multispectral Landsat ETM+ images and TERRA-ASTER data; those data were integrated and compared with B/W and color ortho-photos. To improve photointerpretation and to obtain a higher resolution of the multispectral data, some image fusion techniques have been applied to Landsat data, such as Hue Saturation Value (HSV), Color Normalized (CN) and Principal Component Substitution (PCS). The land cover data base of the CORINE Land cover Project have been updated and improved to a scale 1:50.000.
URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84879736500&partnerID=40&md5=ee6aa41b96ac049385c8ec33035fa48d
Citation KeyCatani2005