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 …

High-spatiotemporal-resolution land surface temperatures (LSTs) are required in various
environmental applications. However, due to the trade-off between the spatial and temporal …

Kernel-based and fusion-based methods have been widely used to downscale satellite-
derived land surface temperatures (LSTs) for obtaining LSTs with high spatiotemporal …

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

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

Normalized difference vegetation index (NDVI) carries valuable information related to the
photosynthetic activity of vegetation and is essential for monitoring phenological changes …

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

Land surface temperature (LST) products with high spatial resolution and short revisiting
cycles are crucial for environmental studies. However, due to the tradeoff between spatial …

Land surface temperature (LST) is a critical parameter for understanding climate change
and maintaining hydrological balance across local and global scales. However, existing …