Satellite remote sensing of global land surface temperature: Definition, methods, products, and applications
Land surface temperature (LST) is a crucial parameter that reflects land–atmosphere
interaction and has thus attracted wide interest from geoscientists. Owing to the rapid …
interaction and has thus attracted wide interest from geoscientists. Owing to the rapid …
Satellite remote sensing of surface urban heat islands: Progress, challenges, and perspectives
The surface urban heat island (SUHI), which represents the difference of land surface
temperature (LST) in urban relativity to neighboring non-urban surfaces, is usually …
temperature (LST) in urban relativity to neighboring non-urban surfaces, is usually …
A practical reanalysis data and thermal infrared remote sensing data merging (RTM) method for reconstruction of a 1-km all-weather land surface temperature
An all-weather land surface temperature (LST) dataset at moderate to high spatial
resolutions (eg 1 km) has been in urgent need, especially in areas frequently covered in …
resolutions (eg 1 km) has been in urgent need, especially in areas frequently covered in …
Generation of MODIS-like land surface temperatures under all-weather conditions based on a data fusion approach
Land surface temperature (LST) is among the most important variables in monitoring land
surface processes. LST is often retrieved from thermal infrared remote sensing data, which …
surface processes. LST is often retrieved from thermal infrared remote sensing data, which …
A method based on temporal component decomposition for estimating 1-km all-weather land surface temperature by merging satellite thermal infrared and passive …
Land surface temperature (LST) is a key variable at the land-atmosphere boundary. For
many research projects and applications an all-weather LST product at moderate spatial …
many research projects and applications an all-weather LST product at moderate spatial …
Cloudy-sky land surface temperature from VIIRS and MODIS satellite data using a surface energy balance-based method
Land surface temperature (LST) has been effectively retrieved from thermal infrared (TIR)
satellite measurements under clear-sky conditions. However, TIR satellite data are often …
satellite measurements under clear-sky conditions. However, TIR satellite data are often …
A two-step deep learning framework for mapping gapless all-weather land surface temperature using thermal infrared and passive microwave data
Blending data from thermal infrared (TIR) and passive microwave (PMW) measurements is a
promising solution for generating the all-weather land surface temperature (LST). However …
promising solution for generating the all-weather land surface temperature (LST). However …
Estimation of 1-km all-weather remotely sensed land surface temperature based on reconstructed spatial-seamless satellite passive microwave brightness …
All-weather remotely sensed land surface temperature (LST) with a 1-km resolution from
combined satellite passive microwave (MW) and thermal infrared (TIR) remote sensing data …
combined satellite passive microwave (MW) and thermal infrared (TIR) remote sensing data …
Creating a seamless 1 km resolution daily land surface temperature dataset for urban and surrounding areas in the conterminous United States
High spatiotemporal land surface temperature (LST) datasets are increasingly needed in a
variety of fields such as ecology, hydrology, meteorology, epidemiology, and energy …
variety of fields such as ecology, hydrology, meteorology, epidemiology, and energy …