Urban heat evolution in a tropical area utilising landsat imagery
Cloud cover is the main limitation of using remote sensing to study Land Use and Land Cover (LULC) change, and Land Surface Temperature (LST) in tropical area like Malaysia. In order to study LULC change and its effect on LST, the Landsat images were utilized within Geographical Information System (...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier BV
2016
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| Online Access: | http://psasir.upm.edu.my/id/eprint/53204/ http://psasir.upm.edu.my/id/eprint/53204/1/Urban%20heat%20evolution%20in%20a%20tropical%20area%20utilising%20landsat%20imagery.pdf |
| _version_ | 1848852223911526400 |
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| author | Amanollahi, Jamil Tzanis, Chris Ramli, Mohammad Firuz Abdullah, Ahmad Makmom |
| author_facet | Amanollahi, Jamil Tzanis, Chris Ramli, Mohammad Firuz Abdullah, Ahmad Makmom |
| author_sort | Amanollahi, Jamil |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Cloud cover is the main limitation of using remote sensing to study Land Use and Land Cover (LULC) change, and Land Surface Temperature (LST) in tropical area like Malaysia. In order to study LULC change and its effect on LST, the Landsat images were utilized within Geographical Information System (GIS) with the aim of removing the effect of cloud cover and image's gaps on the Digital Number (DN) of the pixels. 5356 points according to pixels coordinate which represent the 960 m to 960 m area were created in GIS environment and matched with thermal bands of the study area in remote sensing environment. The DNs of these points were processed to extract LST and imported in GIS environment to derive the temperature maps. Temperature was found to be generally higher in 2010 than in 2000. The comparison of the highest temperature area in the temperature maps with ground stations data showed that the topographical characteristics of the area, and the wind speed, and direction influence the occurrence of Urban Heat Island (UHI) effect. This study concludes that integration of remote sensing data and GIS is a useful tool in urban LST detection in tropical area.
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| first_indexed | 2025-11-15T10:34:40Z |
| format | Article |
| id | upm-53204 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:34:40Z |
| publishDate | 2016 |
| publisher | Elsevier BV |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-532042017-10-27T03:27:42Z http://psasir.upm.edu.my/id/eprint/53204/ Urban heat evolution in a tropical area utilising landsat imagery Amanollahi, Jamil Tzanis, Chris Ramli, Mohammad Firuz Abdullah, Ahmad Makmom Cloud cover is the main limitation of using remote sensing to study Land Use and Land Cover (LULC) change, and Land Surface Temperature (LST) in tropical area like Malaysia. In order to study LULC change and its effect on LST, the Landsat images were utilized within Geographical Information System (GIS) with the aim of removing the effect of cloud cover and image's gaps on the Digital Number (DN) of the pixels. 5356 points according to pixels coordinate which represent the 960 m to 960 m area were created in GIS environment and matched with thermal bands of the study area in remote sensing environment. The DNs of these points were processed to extract LST and imported in GIS environment to derive the temperature maps. Temperature was found to be generally higher in 2010 than in 2000. The comparison of the highest temperature area in the temperature maps with ground stations data showed that the topographical characteristics of the area, and the wind speed, and direction influence the occurrence of Urban Heat Island (UHI) effect. This study concludes that integration of remote sensing data and GIS is a useful tool in urban LST detection in tropical area. Elsevier BV 2016-01 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/53204/1/Urban%20heat%20evolution%20in%20a%20tropical%20area%20utilising%20landsat%20imagery.pdf Amanollahi, Jamil and Tzanis, Chris and Ramli, Mohammad Firuz and Abdullah, Ahmad Makmom (2016) Urban heat evolution in a tropical area utilising landsat imagery. Atmospheric Research, 167. pp. 175-182. ISSN 0169-8095 http://www.elsevier.com/locate/issn/01698095 10.1016/j.atmosres.2015.07.019 |
| spellingShingle | Amanollahi, Jamil Tzanis, Chris Ramli, Mohammad Firuz Abdullah, Ahmad Makmom Urban heat evolution in a tropical area utilising landsat imagery |
| title | Urban heat evolution in a tropical area utilising landsat imagery |
| title_full | Urban heat evolution in a tropical area utilising landsat imagery |
| title_fullStr | Urban heat evolution in a tropical area utilising landsat imagery |
| title_full_unstemmed | Urban heat evolution in a tropical area utilising landsat imagery |
| title_short | Urban heat evolution in a tropical area utilising landsat imagery |
| title_sort | urban heat evolution in a tropical area utilising landsat imagery |
| url | http://psasir.upm.edu.my/id/eprint/53204/ http://psasir.upm.edu.my/id/eprint/53204/ http://psasir.upm.edu.my/id/eprint/53204/ http://psasir.upm.edu.my/id/eprint/53204/1/Urban%20heat%20evolution%20in%20a%20tropical%20area%20utilising%20landsat%20imagery.pdf |