| dc.creator |
Mwakapuja, Francis |
|
| dc.creator |
Liwa, Evaristo |
|
| dc.creator |
Kashaigili, Japhet |
|
| dc.date |
2017-03-14T11:35:06Z |
|
| dc.date |
2017-03-14T11:35:06Z |
|
| dc.date |
2013 |
|
| dc.date.accessioned |
2022-10-25T08:52:34Z |
|
| dc.date.available |
2022-10-25T08:52:34Z |
|
| dc.identifier |
https://www.suaire.sua.ac.tz/handle/123456789/1340 |
|
| dc.identifier.uri |
http://hdl.handle.net/123456789/92744 |
|
| dc.description |
International journal of agriculture and forestry, 2013: 3 (7): 273-283 |
|
| dc.description |
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 |
|
| dc.format |
application/pdf |
|
| dc.language |
en |
|
| dc.publisher |
International Journal of A griculture and Forestry |
|
| dc.subject |
Landsat |
|
| dc.subject |
Indices Combination Supervised Classification |
|
| dc.subject |
Built-up Areas |
|
| 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 |
|
| dc.type |
Article |
|