Remote Sensing Monitoring of Land Surface Temperature (LST)

• Andere auteurs: Sánchez, Juan Manuel (Redacteur), Coll, César (Redacteur), Niclòs, Raquel (Redacteur)
• Formaat: Elektronisch Hoofdstuk
• Taal: Engels
• Gepubliceerd in: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
• Onderwerpen: 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; n/a
• Online toegang: DOAB: download the publication; DOAB: description of the publication

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...