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Proceedings Paper

Spectral approach to model mountain lake catchment through landscape attributes
Author(s): Pilar Casals-Carrasco; Jordi Catalan; Babu Madhavan; Valery Gond
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Paper Abstract

This study investigates the usefulness of satellite images for the study of moutain lake ecosystems and develops an effective approach to extract landscape features of interest for the determination of the lake characteristics. A methodology is proposed taking advantage of the unique spectral features of the land cover classes defined for this study along to their statistical information to determine different band pairs which contain key information for every class. The land cover classes are extracted separately from the selected pair of bands and the class images obtained are later added together in a final classified image. This methodology is applied to ten european sites representing glacial lake districts. The GIS ArcInfo is used to integrate the information obtained from the satellite images with the lake catchments thus the final classified images are merged with the lake catchment boundary vectors of the study areas therefore every pixel is assigned to the corresponding lake catchment. Moreover different patterns were observed in the spatial distribution of the land cover classes. These patterns were analyzed and classified as different lithological classes and every lake catchment was assigned to the corresponding lithological class. At the end every studied pixel has two attributes: land cover and lithology which together give a more detailed perception of the terrain.

Paper Details

Date Published: 13 February 2004
PDF: 20 pages
Proc. SPIE 5239, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology III, (13 February 2004); doi: 10.1117/12.509950
Show Author Affiliations
Pilar Casals-Carrasco, Institut d'Estudis Espacials de Catalunya (Spain)
Jordi Catalan, Ctr. Superior de Investigaciones Cientificas (Spain)
Babu Madhavan, Pasco Corp. (Japan)
Valery Gond, CIRAD Foret (France)

Published in SPIE Proceedings Vol. 5239:
Remote Sensing for Environmental Monitoring, GIS Applications, and Geology III
Manfred Ehlers; Hermann J. Kaufmann; Ulrich Michel, Editor(s)

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