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:

Authors	Institution or Email of Authors
Bachmann, M.
Müller, A.
Habermeyer, M.
Dech, S.

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:

Editors	Email
Manfred Ehlers, Francesco Posa, Hermann J. Kaufmann, Ulrich Michel, Giacomo de Carolis,

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

HGF - Program:

Space

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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