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 …

Fine spatial resolution (ie,≤ 100 m) land surface temperature (LST) data are crucial to study
heterogeneous landscapes (eg, agricultural and urban). Some well-known spatiotemporal …

Land surface temperature (LST) is a key parameter when monitoring land surface
processes. However, cloud contamination and the tradeoff between the spatial and temporal …

The trade-off between spatial and temporal resolutions in remote sensing has greatly limited
the availability of concurrently high spatiotemporal land surface temperature (LST) data for …

Fine-resolution land surface temperature (LST) derived from thermal infrared remote
sensing images is a good indicator of surface water status and plays an essential role in the …

Land surface temperature (LST) captures fundamental information on the spatiotemporal
variation of energy balance at the surface. The trade-off between spatial and temporal …

Timely and accurate extraction of urban land area using the Suomi National Polar-orbiting
Partnership Visible Infrared Imaging Radiometer Suite (VIIRS) nighttime light data is …

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

Daily mean land surface temperatures (LSTs) acquired from polar orbiters are crucial for
various applications such as global and regional climate change analysis. However, thermal …

The land surface's thermal dynamics follows annual and diurnal cycles that are to a large
extent controlled by solar geometry. Therefore, annual and diurnal variations of land surface …