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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Date
2013
Journal Title
Journal ISSN
Volume Title
Publisher
International Journal of A griculture and Forestry
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
Description
International journal of agriculture and forestry, 2013: 3 (7): 273-283
Keywords
Landsat, Indices Combination Supervised Classification, Built-up Areas