Alam, M. and Hussain, R.R. and Islam, A.B.M.S. (2016) Impact assessment of rainfall-vegetation on sedimentation and predicting erosion-prone region by GIS and RS. Geomatics, Natural Hazards and Risk, 7 (2). pp. 667-679. ISSN 1947-5705, DOI https://doi.org/10.1080/19475705.2014.942387.
Full text not available from this repository.Abstract
Water reservoirs are facing universal sedimentation problems worldwide. Land covers, whether natural or manmade, eventually change, and the vegetation cover and rainfall have a great effect on the sediment load. Traditional techniques for analysing this problem are time-consuming and spatially limited. Remote sensing (RS) provides a convenient way to observe land cover changes, and geographic information system (GIS) provides tools for geographic analysis. This study demonstrates a GIS-based methodology for calculating the impact of vegetation and rainfall on the sediment load using remotely sensed data. Moderate resolution imaging spectroradiometer data were used to observe temporal changes in the vegetation-cover area of the watershed surface. The total drainage area for the reservoir was calculated from shuttle radar topographic mission data. The annual rainfall amount was used to compute the annual available rainwater for the watershed, and the impact of the annual available rainwater on the vegetation-covered area was determined. In addition, areas that were adding sedimentation to the reservoir were identified. An inverse relationship between the rainfall and vegetation cover was observed, clearly showing the triggering of erosion.
| Item Type: | Article |
|---|---|
| Funders: | UNSPECIFIED |
| Uncontrolled Keywords: | Erosion; Image reconstruction; Radiometers; Rain; Remote sensing; Reservoirs (water); Sedimentation; Vegetation; Watersheds |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
| Divisions: | Faculty of Engineering |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 09 Nov 2017 02:44 |
| Last Modified: | 09 Nov 2017 02:44 |
| URI: | http://eprints.um.edu.my/id/eprint/18184 |
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