Multi-temporal classification of land cover using Landsat7 imagery in Madiama, Mali

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dc.contributorOffice of Agriculture and Food Securityen
dc.contributorBureau for Global Programsen
dc.contributorU.S. Agency for International Developmenten
dc.contributor.authorBertelsen, Michaelen
dc.contributor.authorHeatwole, Conrad D.en
dc.contributor.authorMoore, Keith M.en
dc.contributor.authorBadini, Oumaren
dc.contributor.departmentSustainable Agriculture and Natural Resource Management (SANREM) Knowledgebaseen
dc.coverage.spatialMadiamaen
dc.coverage.spatialMalien
dc.coverage.spatialWest Africaen
dc.date.accessioned2016-04-19T18:07:19Zen
dc.date.available2016-04-19T18:07:19Zen
dc.date.issued2001en
dc.description.abstractMulti-temporal imagery from the Landsat7 satellite (ETM+) was classified using unsupervised and supervised techniques to develop a land use / land cover map of the Madiama Commune in Mali. The desired outcome of the imagery classification is to identify the basic land uses in the region, and to make inferences on overall land suitability and productivity as a resource for the commune. Since different land uses/land covers are best represented at different dates, radiometric information from different images is expected to improve classification in a difficult environment. Imagery from three dates (April 2000, August 2000, and October 2000) provide coverage of primary phenological periods in the region. Combining multiple dates improved the accuracy of the classification compared to single-date classifications. Additional field data is required to provide an adequate basis for classification and for evaluation of alternative techniques.en
dc.format.mimetypeapplication/pdfen
dc.identifier192en
dc.identifier.citationPaper presented at the SANREM CRSP Research Scientific Synthesis Conference, Athens, GA, 28-30 November 2001en
dc.identifier.other192_Bertelsen.pdfen
dc.identifier.urihttp://hdl.handle.net/10919/65276en
dc.language.isoen_USen
dc.subjectModelingen
dc.subjectLandsat7 satellite (etm+)en
dc.subjectLand suitabilityen
dc.subjectLand productivityen
dc.subjectVegetative stagesen
dc.subjectSupervised classification schemesen
dc.subjectUnsupervised classification schemesen
dc.subjectLand use/land cover mapen
dc.subjectFarm/Enterprise Scale Watersheden
dc.titleMulti-temporal classification of land cover using Landsat7 imagery in Madiama, Malien
dc.typePresentationen
dc.type.dcmitypeTexten

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