A global regression method for thermal sharpening of urban land surface temperatures from MODIS and Landsat
10.1080/01431161.2019.1697009
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2020
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sg-nus-scholar.10635-1636892024-11-11T04:01:15Z A global regression method for thermal sharpening of urban land surface temperatures from MODIS and Landsat James Wang Winston Chow Yi-Chen Wang GEOGRAPHY 10.1080/01431161.2019.1697009 International Journal of Remote Sensing 41 08 2986-3009 2020-01-13T06:13:31Z 2020-01-13T06:13:31Z 2019-12-23 Article James Wang, Winston Chow, Yi-Chen Wang (2019-12-23). A global regression method for thermal sharpening of urban land surface temperatures from MODIS and Landsat. International Journal of Remote Sensing 41 (08) : 2986-3009. ScholarBank@NUS Repository. https://doi.org/10.1080/01431161.2019.1697009 01431161 https://scholarbank.nus.edu.sg/handle/10635/163689 Taylor & Francis Taylor & Francis |
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10.1080/01431161.2019.1697009 |
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GEOGRAPHY |
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GEOGRAPHY James Wang Winston Chow Yi-Chen Wang |
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Article |
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James Wang Winston Chow Yi-Chen Wang |
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James Wang Winston Chow Yi-Chen Wang A global regression method for thermal sharpening of urban land surface temperatures from MODIS and Landsat |
author_sort |
James Wang |
title |
A global regression method for thermal sharpening of urban land surface temperatures from MODIS and Landsat |
title_short |
A global regression method for thermal sharpening of urban land surface temperatures from MODIS and Landsat |
title_full |
A global regression method for thermal sharpening of urban land surface temperatures from MODIS and Landsat |
title_fullStr |
A global regression method for thermal sharpening of urban land surface temperatures from MODIS and Landsat |
title_full_unstemmed |
A global regression method for thermal sharpening of urban land surface temperatures from MODIS and Landsat |
title_sort |
global regression method for thermal sharpening of urban land surface temperatures from modis and landsat |
publisher |
Taylor & Francis |
publishDate |
2020 |
url |
https://scholarbank.nus.edu.sg/handle/10635/163689 |
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1821229202344509440 |