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Application of SEASAT-1 Synthetic Aperture Radar (SAR) data to enhance and detect geological lineaments and to assist LANDSAT landcover classification mappingDigital SEASAT-1 synthetic aperture radar (SAR) data were used to enhance linear features to extract geologically significant lineaments in the Appalachian region. Comparison of Lineaments thus mapped with an existing lineament map based on LANDSAT MSS images shows that appropriately processed SEASAT-1 SAR data can significantly improve the detection of lineaments. Merge MSS and SAR data sets were more useful fo lineament detection and landcover classification than LANDSAT or SEASAT data alone. About 20 percent of the lineaments plotted from the SEASAT SAR image did not appear on the LANDSAT image. About 6 percent of minor lineaments or parts of lineaments present in the LANDSAT map were missing from the SEASAT map. Improvement in the landcover classification (acreage and spatial estimation accuracy) was attained by using MSS-SAR merged data. The aerial estimation of residential/built-up and forest categories was improved. Accuracy in estimating the agricultural and water categories was slightly reduced.
Document ID
19830021505
Acquisition Source
Legacy CDMS
Document Type
Contractor Report (CR)
Authors
Sekhon, R. (Computer Sciences Corp. Silver Spring, MD, United States)
Date Acquired
September 4, 2013
Publication Date
September 1, 1981
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
CSC/TM-81/6238
NAS 1.26:172893
NASA-CR-172893
E83-10365
Accession Number
83N29776
Funding Number(s)
CONTRACT_GRANT: NAS5-24350
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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