Remote Sensing Monitoring of Land Surface Temperature (LST)
Sánchez, Juan Manuel (editor)
Coll, César (editor)
Niclòs, Raquel (editor)
This book is a collection of recent developments, methodologies, calibration and validation techniques, and applications of thermal remote sensing data and derived products from UAV-based, aerial, and satellite remote sensing. A set of 15 papers written by a total of 70 authors was selected for this book. The published papers cover a wide range of topics, which can be classified in five groups: algorithms, calibration and validation techniques, improvements in long-term consistency in satellite LST, downscaling of LST, and LST applications and land surface emissivity research.
KeywordsLand Surface Temperature (LST); satellite retrievals of LST; LST from GOES satellites; land surface temperature; drones; unmanned aerial vehicles; thermal remote sensing; MODIS; Bayesian Maximum Entropy; interpolation; Himalaya; air temperature; topography; Landsat; split window algorithm; TIRS; thermal; Landsat 8; stray light correction; split-window algorithm; single-channel algorithm; AMSR2; annual cycle parameters; random forest; cloudy sky LST; evapotranspiration; data fusion; field-scale; machine-learning; physical model; Sentinel-2; Sentinel-3; Downscaling; thermal infrared; disaggregation; Copernicus; hyperspectral thermal infrared; spectral smoothness; temperature-emissivity separation; sensitivity analysis; noise; land surface temperature (LST); daytime LST; nighttime LST; validation; land surface emissivity (LSE); single channel algorithm; radiative transfer equation; mono window algorithm; SURFRAD data; GK2A; split-window method; BSRN; LST; downscaling; LSA-SAF; Sentinel 2; DEM; spatial averaging biases; land surface emissivity; measurement uncertainties; emissivity box method; Fourier transform infrared spectrometer; portable spectrometer; n/a
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Publication date and placeBasel, Switzerland, 2021
Environmental science, engineering & technology