A global regression method for thermal sharpening of urban land surface temperatures from MODIS and Landsat

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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Bibliographic Details
Main Authors: WANG, James. W., CHOW, Winston T. L., WANG, Yi-Chen
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2020
Subjects:
Impervious surface
Normalized differences
Regression method
Spatial resolution
Statistical scheme
Thermal infrared sensors
Urban applications
Urban land surface temperature
Environmental Sciences
Political Science
Urban Studies and Planning
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

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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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