High-quality gridded soil moisture products are essential for many Earth system science
applications, while the recent reanalysis and remote sensing soil moisture data are often …

Soil moisture is an essential climate variable of the Earth system. Understanding its
spatiotemporal dynamics is essential for predicting weather patterns and climate variability …

This study examines the effect of land cover, vegetation health, climatic forcings, elevation
heat loads, and terrain characteristics (LVCET) on land surface temperature (LST) …

The application of machine learning (ML) and remote sensing (RS) in soil and water
conservation has become a powerful tool. As analytical tools continue to advance, the …

The accurate monitoring of the spatio-temporal distribution of surface soil moisture (SSM) is
crucial to understanding Earth's water cycle. The machine learning regression (MLR) …

This study developed a random forest approach for downscaling the coarse-resolution (36
km) soil moisture measured by The National Aeronautics and Space Administration (NASA) …

Quantification of land surface–atmosphere fluxes of carbon dioxide (CO 2) and their trends
and uncertainties is essential for monitoring progress of the EU27+ UK bloc as it strives to …

Soil moisture (SM) is a critical component of the land surface hydrological cycle, significantly
impacting various sectors such as hydrology, meteorology, and agriculture. Accurate, high …

Desert grassland is an essential component of the northern grasslands of China,
representing an ecosystem that transitions from grassland to desert. However, it is a fragile …

The retrieval of soil moisture (SM) using the Global Navigation Satellite System-
Reflectometry (GNSS-R) technique has become a prominent topic in recent years. Although …