Run-off modeling and mapping using rainfall and evapotranspiration estimates from remote sensing satellite data in Peninsular Malaysia

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Main Author: Mahmud, Mohd. Rizaludin
Format: Thesis
Published: 2011
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id my-utm-ep.32484
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spelling my-utm-ep.324842017-08-14T07:35:12Z Run-off modeling and mapping using rainfall and evapotranspiration estimates from remote sensing satellite data in Peninsular Malaysia 2011 Mahmud, Mohd. Rizaludin G Geography (General) 2011 Thesis http://eprints.utm.my/id/eprint/32484/ masters Universiti Teknologi Malaysia, Faculty of Geoinformation and Real Estate Faculty of Geoinformation and Real Estate
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
topic G Geography (General)
spellingShingle G Geography (General)
Mahmud, Mohd. Rizaludin
Run-off modeling and mapping using rainfall and evapotranspiration estimates from remote sensing satellite data in Peninsular Malaysia
description
format Thesis
qualification_level Master's degree
author Mahmud, Mohd. Rizaludin
author_facet Mahmud, Mohd. Rizaludin
author_sort Mahmud, Mohd. Rizaludin
title Run-off modeling and mapping using rainfall and evapotranspiration estimates from remote sensing satellite data in Peninsular Malaysia
title_short Run-off modeling and mapping using rainfall and evapotranspiration estimates from remote sensing satellite data in Peninsular Malaysia
title_full Run-off modeling and mapping using rainfall and evapotranspiration estimates from remote sensing satellite data in Peninsular Malaysia
title_fullStr Run-off modeling and mapping using rainfall and evapotranspiration estimates from remote sensing satellite data in Peninsular Malaysia
title_full_unstemmed Run-off modeling and mapping using rainfall and evapotranspiration estimates from remote sensing satellite data in Peninsular Malaysia
title_sort run-off modeling and mapping using rainfall and evapotranspiration estimates from remote sensing satellite data in peninsular malaysia
granting_institution Universiti Teknologi Malaysia, Faculty of Geoinformation and Real Estate
granting_department Faculty of Geoinformation and Real Estate
publishDate 2011
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