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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.

Environmental science, engineering & technology --- Land 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