Land surface temperature (LST) retrieved from moderate resolution or downscaled from
coarse thermal infrared (TIR) data is one of key environment parameters. Over the last four …

Remotely sensed land surface temperature (LST) distribution has played a valuable role in
land surface processes studies from local to global scales. However, it is still difficult to …

Spatial downscaling satellite sensor-derived land surface temperature (LST) is of great
importance for various environmental applications. However, the energy balance at the land …

Land surface temperature (LST) is a critical parameter of surface energy fluxes and has
become the focus of numerous studies. LST downscaling is an effective technique for …

Statistical downscaling of land surface temperature (SDLST) algorithms with diverse scaling
factors and regression models have been used to produce high spatial resolution LSTs …

The purpose of this study is to comprehensively review of Satellite-derived Land Surface
Temperature Spatial Sharpening (SLSTSS) studies and provide appropriate solutions to …

Scarcity of water temperature data in rivers may limit a diversity of studies considering this
property, which regulates many physical, chemical, and biological processes. We present a …

Spatiotemporal fusion algorithms have the ability to obtain high-resolution land surface
temperature (LST). However, most existing fusion methods have difficulty obtaining LSTs …

The purpose of this study is to present a new approach for satellite imagery-derived Land
Surface Temperature (LST) disaggregation based on a decision level integration of various …

Land surface temperature (LST) plays a pivotal role in many environmental sectors.
Unfortunately, thermal bands produced by instruments that are onboard satellites have …