Next Article in Journal
Tensor Block-Sparsity Based Representation for Spectral-Spatial Hyperspectral Image Classification
Previous Article in Journal
Contrasting Responses of Planted and Natural Forests to Drought Intensity in Yunnan, China
Article Menu

Export Article

Open AccessArticle
Remote Sens. 2016, 8(8), 633; doi:10.3390/rs8080633

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

1
Geoscience and Digital Earth Centre (INSTeG), Research Institute for Sustainable Environment, University Teknologi Malaysia, Johor Bahru 81310, Malaysia
2
Faculty of Geoinformation and Real Estate, University Teknologi Malaysia, Johor Bahru 81310, Malaysia
3
Water Resource and Wastewater Management Centre, Research Institute for Sustainable Environment, University Teknologi Malaysia, Johor Bahru 81310, Malaysia
4
Faculty of Civil Engineering and Earth Resources, University Malaysia Pahang, Lebuhraya Tun Razak, Gambang, Kuantan, Pahang 26300, Malaysia
*
Author to whom correspondence should be addressed.
Academic Editors: Gabriel Senay, Soe Myint and Prasad S. Thenkabail
Received: 29 April 2016 / Revised: 22 July 2016 / Accepted: 26 July 2016 / Published: 1 August 2016
View Full-Text   |   Download PDF [16930 KB, uploaded 1 August 2016]   |  

Abstract

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. View Full-Text
Keywords: drought; run-off model; TMPA; MODIS; Malaysia drought; run-off model; TMPA; MODIS; Malaysia
Figures

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Hashim, M.; Reba, N.M.; Nadzri, M.I.; Pour, A.B.; Mahmud, M.R.; Mohd Yusoff, A.R.; Ali, M.I.; Jaw, S.W.; Hossain, M.S. Satellite-Based Run-Off Model for Monitoring Drought in Peninsular Malaysia. Remote Sens. 2016, 8, 633.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top