Random forests (RF) is a supervised machine learning algorithm, which has recently started
to gain prominence in water resources applications. However, existing applications are …

Global surface temperature has been setting new record highs in the recent decades,
imposing increasing environmental challenges for societies and ecosystems worldwide …

The Moderate Resolution Imaging Spectroradiometer (MODIS) aboard the Terra and Aqua
satellites, which provides a very high temporal (four times per day) and spatial (1 km) …

The canopy layer urban heat island (CLUHI) and surface urban heat island (SUHI) refer to
higher canopy layer and land surface temperatures in urban areas than in rural areas …

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 …

High spatiotemporal land surface temperature (LST) datasets are increasingly needed in a
variety of fields such as ecology, hydrology, meteorology, epidemiology, and energy …

Research has revealed systematic changes in warming rates with elevation (EDW) in
mountain regions. However, weather stations on the Tibetan plateau are mostly located at …

Urban air temperature is considered a significant variable for a variety of urban issues, and
analyzing the spatial patterns of air temperature is important for urban planning and …

The new MODIS daily NDSI snow cover product version 6 (V6) is released to replace V5
with significant revisions. This study evaluates, for the first time, the accuracy of product V6 …

An accurate spatially continuous air temperature data set is crucial for multiple applications
in the environmental and ecological sciences. Existing spatial interpolation methods have …