Land cover stratification using Landsat Thematic Mapper data in Sahelian and Sudanian woodland and wooded grassland

J. Franklin

Research output: Contribution to journalArticle

22 Citations (Scopus)

Abstract

A 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 Thematic Mapper 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 (using unsupervised classification) and clusters were assigned to vegetation type and density categories. In a separate step, the images were manually interpreted to differentiate broad soil classes. This method is suitable for stratification and inventory of woody biomass at a regional scale in semi-arid woodland and wooded grassland. -from Author

Original languageEnglish (US)
Pages (from-to)141-163
Number of pages23
JournalJournal of Arid Environments
Volume20
Issue number2
StatePublished - 1991
Externally publishedYes

Fingerprint

wooded grasslands
Landsat
land cover
Landsat thematic mapper
woodland
stratification
grassland
thematic mapping
unsupervised classification
Mali
digital images
digital image
vegetation cover
image processing
wet season
vegetation types
vegetation type
dry season
imagery
grass

ASJC Scopus subject areas

  • Earth-Surface Processes
  • Ecology

Cite this

Land cover stratification using Landsat Thematic Mapper data in Sahelian and Sudanian woodland and wooded grassland. / Franklin, J.

In: Journal of Arid Environments, Vol. 20, No. 2, 1991, p. 141-163.

Research output: Contribution to journalArticle

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