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Proceedings Paper

Hyperspectral remote sensing and GIS techniques application for the evaluation and monitoring of interactions between natural risks and industrial hazards
Author(s): Alessandra Marino; Giancarlo Ludovisi; Antonio Moccaldi; Fiorenzo Damiani
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Paper Abstract

The aim of this paper is to outline the potential of imaging spectroscopy and GIS techniques as tool for the management of data rich environments, as complex fluvial areas, exposed to geological, geomorphological, and hydrogeological risks. The area of study, the Pescara River Basin is characterized by the presence of important industrial sites and by the occurrence of floods, landslides and seismic events. Data were collected, during a specific flight, using an hyperspectral MIVIS sensor. Images have been processed in order to obtain updated and accurate land-cover and land-use maps that have been inserted in a specific GIS database and integrated with further information like lithology, geological structure, geomorphology, hydrogeological features, productive plants location and characters. The processing of data layers was performed, using a dedicated software, through typical GIS operators like indexing, recording, matrix analysis, proximity analysis. The interactions between natural risks, industrial installations, agricultural areas, water resources and urban settlements have been analyzed. This allowed the creation and processing of thematic layers like vulnerability, risk and impact maps.

Paper Details

Date Published: 8 February 2001
PDF: 6 pages
Proc. SPIE 4151, Hyperspectral Remote Sensing of the Land and Atmosphere, (8 February 2001); doi: 10.1117/12.417012
Show Author Affiliations
Alessandra Marino, Higher Institute for Occupational Safety and Health (Italy)
Giancarlo Ludovisi, Higher Institute for Occupational Safety and Health (Italy)
Antonio Moccaldi, Higher Institute for Occupational Safety and Health (Italy)
Fiorenzo Damiani, Higher Institute for Occupational Safety and Health (Italy)


Published in SPIE Proceedings Vol. 4151:
Hyperspectral Remote Sensing of the Land and Atmosphere
William L. Smith; Yoshifumi Yasuoka, Editor(s)

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