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Land cover stratification using Landsat Thematic Mapper data in Sahelian and Sudanian woodland and wooded grasslandA standard methodology for thematic mapping of natural vegetation using remotely sensed imagery and digital image processing was modified to account for the spatial and spectral properties of semi-arid landscapes, and tested in study areas in the Sahelian and Sudanian zones, Mali. A principal components transformation of registered wet and dry season Landsat TM images produced a set of synthetic spectral channels differentiating vegetation cover between seasons, and allowed areas with annual grass growth to be distinguished from areas with woody cover. The transformed data were statistically clustered and clusters were assigned to vegetation type and density categories. In a separate step, the images were manually interpreted to differentiate broad soil classes. Four statistics were compared to evaluate the accuracy of the maps based on sample points from air photos. For the relatively detailed categories initially defined, map accuracies were substandard; however, when vegetation density classes were aggregated, overall accuracy was around 90 percent, and class accuracy was greater than 80 percent for most classes. This method is suitable for stratification and inventory of woody biomass at a regional scale in semi-arid woodland and wooded grassland.
Document ID
19930068602
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Franklin, J.
(San Diego State Univ. CA, United States)
Date Acquired
August 16, 2013
Publication Date
January 1, 1991
Publication Information
Publication: Journal of Arid Environments
ISSN: 0140-1963
Subject Category
Earth Resources And Remote Sensing
Accession Number
93A52599
Funding Number(s)
CONTRACT_GRANT: NGT-05-010-804
CONTRACT_GRANT: NAGW-788
Distribution Limits
Public
Copyright
Other

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