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An iterative unmixing approach in support of fractional cover estimation in semi-arid environments

Bachmann, M. and Müller, A. and Habermeyer, M. and Dech, S. (2004) An iterative unmixing approach in support of fractional cover estimation in semi-arid environments. In: Remote Sensing for Environmental Monitoring, GIS Applications, and Geology IV, Vol. 5574, pp. 205-213. 11th SPIE International Symposium on Remote Sensing, Maspalomas, Gran Canaria, 13-16.9.2004.

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Document Type:Conference or Workshop Item (Paper)
Additional Information: LIDO-Berichtsjahr=2004,
Title:An iterative unmixing approach in support of fractional cover estimation in semi-arid environments
Authors:
AuthorsInstitution or Email of Authors
Bachmann, M.UNSPECIFIED
Müller, A.UNSPECIFIED
Habermeyer, M.UNSPECIFIED
Dech, S.UNSPECIFIED
Date:2004
Journal or Publication Title:Remote Sensing for Environmental Monitoring, GIS Applications, and Geology IV
Volume:Vol. 5574
Page Range:pp. 205-213
Editors:
EditorsEmail
Manfred Ehlers, Francesco Posa, Hermann J. Kaufmann, Ulrich Michel, Giacomo de Carolis, UNSPECIFIED
Series Name:Proceedings of SPIE
Status:Published
Keywords:Hyperspectral Remote Sensing, Semi-Arid Environments, Land Degradation, Spectral Unmixing, Fractional Cover, Dry Vegetation
Event Title:11th SPIE International Symposium on Remote Sensing, Maspalomas, Gran Canaria, 13-16.9.2004
Organizer:SPIE - The International Society for Optical Engineering
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):UNSPECIFIED
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center
Deposited By: elib DLR-Beauftragter
Deposited On:16 Sep 2005
Last Modified:06 Jan 2010 12:25

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