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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| Format: | Article |
| Language: | en |
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Faculty of Built Environment, UTM
2006
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| Online Access: | http://eprints.utm.my/655/2/Impervious_Surface_Estimation_Using%282006%29M._Rafee_Ma.pdf http://eprints.utm.my/655/ http://fabserver.utm.my/Publication-Journal.html |
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| _version_ | 1845470319901409280 |
|---|---|
| author | Majid, M. Rafee |
| author_facet | Majid, M. Rafee |
| author_sort | Majid, M. Rafee |
| building | UTM Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Malaysia |
| content_source | UTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| 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 |
| id | my.utm.eprints-655 |
| institution | Universiti Teknologi Malaysia |
| language | en |
| publishDate | 2006 |
| publisher | Faculty of Built Environment, UTM |
| record_format | eprints |
| spelling | my.utm.eprints-6552010-08-17T05:30:03Z http://eprints.utm.my/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/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 |
| spellingShingle | G Geography (General) Majid, M. Rafee Impervious surface estimation using remote sensing images and gis : how accurate is the estimate at subdivision level? |
| title | 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_short | 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? |
| topic | G Geography (General) |
| url | http://eprints.utm.my/655/2/Impervious_Surface_Estimation_Using%282006%29M._Rafee_Ma.pdf http://eprints.utm.my/655/ http://fabserver.utm.my/Publication-Journal.html |
| url_provider | http://eprints.utm.my/ |