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Multitemporal and Multispectral Remote Sensing Approach for Flood Detection in the Elbe‐Mulde Region 2002

Multitemporal and Multispectral Remote Sensing Approach for Flood Detection in the Elbe‐Mulde... The extreme flood event of the Elbe and Mulde Rivers in August 2002 caused, with its very sharp rise and decline of the water masses, a manifold of damage to the infrastructure as well as toxic deposits in the flooded areas. The paper gives a summary of the processing of multitemporal and multisensor remote sensing data for the purpose of monitoring this event. Methods and results for several thematic questions are presented and discussed. Procedures for the detection of flooded areas with operational satellite data (Landsat‐7 ETM, IRS) are investigated. Further studies are performed regarding the classification of moisture classes in the flood plain in relation to the high water changes, the accumulation of sediments and silts for different land use classes and the erosive impact of the flood by using data with high spatial resolution from satellite (IKONOS) and from aircraft (Daedalus‐Scanner). http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Acta hydrochimica et hydrobiologica Wiley

Multitemporal and Multispectral Remote Sensing Approach for Flood Detection in the Elbe‐Mulde Region 2002

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References (13)

Publisher
Wiley
Copyright
Copyright © 2005 Wiley Subscription Services, Inc., A Wiley Company
ISSN
0323-4320
eISSN
1521-401X
DOI
10.1002/aheh.200400599
Publisher site
See Article on Publisher Site

Abstract

The extreme flood event of the Elbe and Mulde Rivers in August 2002 caused, with its very sharp rise and decline of the water masses, a manifold of damage to the infrastructure as well as toxic deposits in the flooded areas. The paper gives a summary of the processing of multitemporal and multisensor remote sensing data for the purpose of monitoring this event. Methods and results for several thematic questions are presented and discussed. Procedures for the detection of flooded areas with operational satellite data (Landsat‐7 ETM, IRS) are investigated. Further studies are performed regarding the classification of moisture classes in the flood plain in relation to the high water changes, the accumulation of sediments and silts for different land use classes and the erosive impact of the flood by using data with high spatial resolution from satellite (IKONOS) and from aircraft (Daedalus‐Scanner).

Journal

Acta hydrochimica et hydrobiologicaWiley

Published: Dec 1, 2005

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