UMP Institutional Repository

Satellite-Based Run-Off Model for Monitoring Drought in Peninsular Malaysia

Mazlan, Hashim and Nadzri M., Reba and Muhammad I., Nadzri and Amin, Pour and Mohd R., Mahmud and Abdull R., Mohd Yusoff and Mohamad Idris, Ali and Jaw, S. W. and Mohammad S., Hossain (2016) Satellite-Based Run-Off Model for Monitoring Drought in Peninsular Malaysia. Remote Sensing, 8 (8). pp. 1-26. ISSN 2072-4292

fkasa-2016-idris-Satellite-Based Run-Off.pdf
Available under License Creative Commons Attribution.

Download (1MB) | Preview


Traditional in situ observation interpolation techniques that provide rainfall data from rain gauges have limitations because they are discrete point-based data records, which may not be sufficient to assess droughts from a spatiotemporal perspective. Considering this limitation, this study has developed a run-off model—a fully satellite-based method for monitoring drought in Peninsular Malaysia. The formulation of the run-off deficit uses a water balance equation based on satellite-based rainfall and evapotranspiration data extracted respectively from calibrated TRMM multi-satellites precipitation analysis data (TMPA) and moderate resolution imaging spectroradiometer data (MODIS). The run-off deficit was calculated based on per pixel spatial scale and allowed to produce the continuous and regular run-off maps. The run-off model was tested and evaluated in a one drought year (2005) within a span of three years (2003–2005) over the Kelantan (3448 km2) and Hulu Perak (3672 km2) catchments of Peninsular Malaysia. The validation results show that (1) monthly TMPA rainfall and MODIS evapotranspiration data significantly improved after calibration; (2) satellite-based run-off data is not only strongly correlated with actual steam flow, but also with spatiotemporal variation of run-off in drought-affected forest catchments. The most severely drought-affected forest catchments that experienced the run-off deficits were Hulu Perak, Ulu Gading, Gunung Stong and Relai over Kelantan. The real time run-off change analysis shows that drought started in January and reached its peak in July of 2005. It was therefore demonstrated that this fully satellite-based run-off deficit model is as good as a conventional drought-monitoring indicator, and can provide not only drought distribution information, but it also can reflect the drought-induced impacts on stream flow, forest catchment and land-use.

Item Type: Article
Uncontrolled Keywords: Drought; run-off model; TMPA; MODIS; Malaysia
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Faculty/Division: Faculty of Civil Engineering & Earth Resources
Depositing User: Dr. Doh Shu Ing
Date Deposited: 27 Feb 2017 07:34
Last Modified: 09 Apr 2018 04:17
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item