Sokoine University of Agriculture

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.contributor.author Mwakapuja, Francis
dc.contributor.author Liwa, Evaristo
dc.contributor.author Kashaigili, Japhet
dc.date.accessioned 2017-03-14T11:35:06Z
dc.date.available 2017-03-14T11:35:06Z
dc.date.issued 2013
dc.identifier.uri https://www.suaire.sua.ac.tz/handle/123456789/1340
dc.description International journal of agriculture and forestry, 2013: 3 (7): 273-283 en_US
dc.description.abstract This 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 en_US
dc.language.iso en en_US
dc.publisher International Journal of A griculture and Forestry en_US
dc.subject Landsat en_US
dc.subject Indices Combination Supervised Classification en_US
dc.subject Built-up Areas en_US
dc.title 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 en_US
dc.type Article en_US


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