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Physical Sciences and Mathematics
Singapore Management University
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A Global Regression Method For Thermal Sharpening Of Urban Land Surface Temperatures From Modis And Landsat, James. W. Wang, Winston T. L. Chow, Yi-Chen Wang
A Global Regression Method For Thermal Sharpening Of Urban Land Surface Temperatures From Modis And Landsat, James. W. Wang, Winston T. L. Chow, Yi-Chen Wang
Research Collection School of Social Sciences
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 there is continued debate over which spectral indices are most appropriate for urban TS, and how they should be configured in a predictive regression framework. In this study, we evaluate the stability of various TS kernels with respect to LST at different spatial (Landsat 8) and diurnal (MODIS) scales, and present a new TS method, global regression for urban thermal sharpening …