Phys.org  August 6, 2024 The continuous retrieval of clear-sky land surface temperature (LST) is important for monitoring vegetation temperature and assessing water stress conditions. However, the extensive cloud cover poses challenges in accurately forecasting LST in regions characterized by diverse vegetation types and complex terrains. Researchers in China proposed a synthetic aperture radar – and digital elevation model (DEM)-integrated LST reconstruction model (SDX-LST) to assess the practicality and robustness of the SDX-LST model. To test the model, they selected areas in America spanning a wide range of longitude and latitude and having obvious differences in topography, landforms, and vegetation. According […]