Impervious surface estimation using remote sensing images and gis : how accurate is the estimate at subdivision level?

Impervious surface has long been accepted as a key environmental indicator linking development to its impacts on water. Many have suggested that there is a direct correlation between degree of imperviousness and both quantity and quality of water. Quantifying the amount of impervious surface, howeve...

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Main Author: Majid, M. Rafee
Format: Article
Language:English
Published: Faculty of Built Environment, UTM 2006
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Online Access:http://eprints.utm.my/id/eprint/655/2/Impervious_Surface_Estimation_Using%282006%29M._Rafee_Ma.pdf
http://eprints.utm.my/id/eprint/655/
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Institution: Universiti Teknologi Malaysia
Language: English
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spelling my.utm.6552010-08-17T05:30:03Z http://eprints.utm.my/id/eprint/655/ Impervious surface estimation using remote sensing images and gis : how accurate is the estimate at subdivision level? Majid, M. Rafee G Geography (General) Impervious surface has long been accepted as a key environmental indicator linking development to its impacts on water. Many have suggested that there is a direct correlation between degree of imperviousness and both quantity and quality of water. Quantifying the amount of impervious surface, however, remains difficult and tedious especially in urban areas. Lately more efforts have been focused on the application of remote sensing and GIS technologies in assessing the amount of impervious surface and many have reported promising results at various pixel levels. This paper discusses an attempt at estimating the amount of impervious surface at subdivision level using remote sensing images and GIS techniques. Using Landsat ETM+ images and GIS techniques, a regression tree model is first developed for estimating pixel imperviousness. GIS zonal functions are then used to estimate the amount of impervious surface for a sample of subdivisions. The accuracy of the model is evaluated by comparing the model-predicted imperviousness to digitized imperviousness at the subdivision level. The paper then concludes with a discussion on the convenience and accuracy of using the method to estimate imperviousness for large areas. Faculty of Built Environment, UTM 2006 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/655/2/Impervious_Surface_Estimation_Using%282006%29M._Rafee_Ma.pdf Majid, M. Rafee (2006) Impervious surface estimation using remote sensing images and gis : how accurate is the estimate at subdivision level? Jurnal Alam Bina, 8 (1). pp. 21-42. ISSN 1511-1369 http://fabserver.utm.my/Publication-Journal.html
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic G Geography (General)
spellingShingle G Geography (General)
Majid, M. Rafee
Impervious surface estimation using remote sensing images and gis : how accurate is the estimate at subdivision level?
description Impervious surface has long been accepted as a key environmental indicator linking development to its impacts on water. Many have suggested that there is a direct correlation between degree of imperviousness and both quantity and quality of water. Quantifying the amount of impervious surface, however, remains difficult and tedious especially in urban areas. Lately more efforts have been focused on the application of remote sensing and GIS technologies in assessing the amount of impervious surface and many have reported promising results at various pixel levels. This paper discusses an attempt at estimating the amount of impervious surface at subdivision level using remote sensing images and GIS techniques. Using Landsat ETM+ images and GIS techniques, a regression tree model is first developed for estimating pixel imperviousness. GIS zonal functions are then used to estimate the amount of impervious surface for a sample of subdivisions. The accuracy of the model is evaluated by comparing the model-predicted imperviousness to digitized imperviousness at the subdivision level. The paper then concludes with a discussion on the convenience and accuracy of using the method to estimate imperviousness for large areas.
format Article
author Majid, M. Rafee
author_facet Majid, M. Rafee
author_sort Majid, M. Rafee
title Impervious surface estimation using remote sensing images and gis : how accurate is the estimate at subdivision level?
title_short Impervious surface estimation using remote sensing images and gis : how accurate is the estimate at subdivision level?
title_full Impervious surface estimation using remote sensing images and gis : how accurate is the estimate at subdivision level?
title_fullStr Impervious surface estimation using remote sensing images and gis : how accurate is the estimate at subdivision level?
title_full_unstemmed Impervious surface estimation using remote sensing images and gis : how accurate is the estimate at subdivision level?
title_sort impervious surface estimation using remote sensing images and gis : how accurate is the estimate at subdivision level?
publisher Faculty of Built Environment, UTM
publishDate 2006
url http://eprints.utm.my/id/eprint/655/2/Impervious_Surface_Estimation_Using%282006%29M._Rafee_Ma.pdf
http://eprints.utm.my/id/eprint/655/
http://fabserver.utm.my/Publication-Journal.html
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