Due to the limited number and sparse distribution of meteorological and hydrometric stations
in most watersheds, the runoff estimation based on these stations may not be accurate …

In recent decades, several products have been proposed for estimating precipitation
amounts. However, due to the complexity of climatic conditions, topography, etc., providing …

Root zone soil moisture (RZSM) is crucial for agricultural water management and land
surface processes. The 1 km soil water index (SWI) dataset from Copernicus Global Land …

Accurate soil mapping is crucial for agriculture, land, ecosystem and environmental
management. Digital Soil Mapping (DSM) is one of the most conventional and widely used …

The mapping of ephemeral gullies (EGs) is essential for improving and managing
agriculture, but it poses challenges in terms of their identification, monitoring, and …

Vegetation primarily draws water from soil moisture (SM), with restoration in drylands often
reducing SM storage (SMS). However, anomalies have been detected in the Beijing–Tianjin …

This study explores machine learning for estimating soil moisture at multiple depths (0–5 cm,
0–10 cm, 0–20 cm, 0–50 cm, and 0–100 cm) across the coterminous United States. A …

Soil moisture is a key variable that affects ecosystem carbon and water cycles and that can
directly affect climate change. Remote sensing is the best way to obtain global soil moisture …

One of the key parameters that affects the accuracy of land surface temperature (LST)
disaggregation is the environmental variables that are fed to the disaggregation model. The …

El cultivo del plátano es una importante actividad económica y con frecuencia constituye
buena parte de los ingresos de la mayoría de los agricultores en el municipio Neira del …