A global regression method for thermal sharpening of urban land surface temperatures from MODIS and Landsat
Land surface temperatures (LST) in urban landscapes are typically more heterogeneous than can be monitored by the spatial resolution of satellite-based thermal infrared sensors. Thermal sharpening (TS) methods permit the disaggregation of LST based on finer-grained multispectral information, but the...
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| Main Authors: | , , |
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| Format: | text |
| Language: | English |
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Institutional Knowledge at Singapore Management University
2020
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/soss_research/3048 https://ink.library.smu.edu.sg/context/soss_research/article/4305/viewcontent/urban1.pdf |
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| Institution: | Singapore Management University |
| Language: | English |