Accurate estimation of spatially distributed air temperature (Ta) is useful for a wide range of
disciplines such as hydrology, meteorology and ecology. Moderate Resolution Imaging …

Air temperature (Ta) is an essential climatological component that controls and influences
various earth surface processes. In this study, we make the first attempt to employ deep …

Recently, several methods have been introduced and applied to estimate daily air surface
temperature (Ta) using MODIS land surface temperature data (MODIS LST). Among these …

Temperature changes over the Tibetan Plateau (TP) exhibit a dependence on altitude, as
observed from meteorological station data and Moderate Resolution Imaging …

Air temperature (Ta) stations have limited spatial coverage, particularly in rural areas. Since
temperature can vary greatly both spatially and temporally, Ta stations are often inadequate …

The Carnegie-Ames-Stanford Approach (CASA) model is widely used to estimate vegetation
net primary productivity (NPP) at regional scale. However, the CASA is still driven by multi …

Land surface temperature (LST) is an essential parameter in land–atmosphere interaction.
However, it is still poorly understood about the effects of seasonal LST on the interannual …

Near surface air temperature (NSAT) is a primary descriptor of terrestrial environmental
conditions. In recent decades, many efforts have been made to develop various methods for …

Recently, remotely sensed land surface temperature (LST) data have been used to estimate
air temperatures because of the sparseness of station measurements in remote …

It is well known that remote sensing techniques hold the potential to explore the spatial
estimation of air temperature (T a) with fine spatial and temporal resolution across the world …