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Monsoon flood boundary delineation and damage assessment using space borne imaging radar and Landsat dataSpace-borne synthetic aperture radar (SAR) data acquired by the Shuttle Imaging Radar-B (SIR-B) Program and Landsat Multispectral Scanner Subsystem (MSS) Data from Landsat 4 were used to map flood boundaries for the assessment of flood damage in the Peoples Republic of Bangladesh. The cloud penetrating capabilities of the L-band radar provided a clear picture of the hydrologic conditions of the surface during a period of inclement weather at the end of the wet phase of the 1984 monsoon. The radar image data were digitally processed to geometrically rectify the pixel geometry and were filtered to subdue radar image speckle effects. Contrast enhancement techniques and density slicing were used to create discrete land-cover categories corresponding to surface conditions present at the time of the Shuttle overflight. The radar image classification map was digitally registered to a spectral signature classification map of the area derived from Landsat MSS data collected two weeks prior to the SIR-B mission. Classification accuracy comparisons were made between the radar and MSS classification maps, and flood boundary and flood damage assessment measurements were made with the merged data by adding the classifications and inventorying the land-cover classes inundated at the time of flooding.
Document ID
19870052193
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Imhoff, Marc L.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Vermillion, C.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Story, M. H.
(Science Applications Research Corp. Lanham, MD, United States)
Choudhury, A. M.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Gafoor, A.
(Space Research and Remote Sensing Organization of Bangladesh Dhaka, United States)
Date Acquired
August 13, 2013
Publication Date
April 1, 1987
Publication Information
Publication: Photogrammetric Engineering and Remote Sensing
Volume: 53
ISSN: 0099-1112
Subject Category
Earth Resources And Remote Sensing
Accession Number
87A39467
Distribution Limits
Public
Copyright
Other

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