Usage of indices for extraction of built-up areas and vegetation features from Landsat TM image: a case of Dar es salaam and Kisarawe peri-urban areas, Tanzania

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dc.creatorMwakapuja, Francis
dc.creatorLiwa, Evaristo
dc.creatorKashaigili, Japhet
dc.date2017-03-14T11:35:06Z
dc.date2017-03-14T11:35:06Z
dc.date2013
dc.date.accessioned2022-10-25T08:52:34Z
dc.date.available2022-10-25T08:52:34Z
dc.descriptionInternational journal of agriculture and forestry, 2013: 3 (7): 273-283
dc.descriptionThis paper address the use of Indices Co mbination with Supervision Classification methods to extract urban built-up areas, vegetation and water features fro m Landsat Thematic Mapper (TM7) imagery covering Dar es Salaam and Kisarawe peri-urban areas. The study uses three indices; Normalized Difference Bu ilt-up Index (NDBI), Modified Normalized Difference Water Index (MNDWI), and Soil Adjusted Vegetation Index (SA VI) to reduce the seven bands Landsat TM7 image into three thematic-oriented bands. Data correlation, spectral confusion and redundancy between original mu ltispectral bands were significantly reduced upon application of the techniques. As a result, the spectral signatures of the three urban land-use classes are mo re distinguishable in the new co mposite image than in the original seven-band image since the spectral clusters of the classes are well separated. Through a supervised classification on the newly formed image, the urban built-up areas, vegetation and water features were finally extracted effect ively; with the accuracy of 82.05 percent attained. The results show that the technique is effective and reliable and can be considered for use in other areas with similar characteristics
dc.formatapplication/pdf
dc.identifierhttps://www.suaire.sua.ac.tz/handle/123456789/1340
dc.identifier.urihttp://hdl.handle.net/123456789/92744
dc.languageen
dc.publisherInternational Journal of A griculture and Forestry
dc.subjectLandsat
dc.subjectIndices Combination Supervised Classification
dc.subjectBuilt-up Areas
dc.titleUsage of indices for extraction of built-up areas and vegetation features from Landsat TM image: a case of Dar es salaam and Kisarawe peri-urban areas, Tanzania
dc.typeArticle

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