High-resolution soil moisture data is crucial in the development of hydrological applications
as it provides detailed insights into the spatiotemporal variability of soil moisture. The …

Soil moisture (SM) is a key variable driving hydrologic, climatic, and ecological processes.
Although it is highly variable, both spatially and temporally, there is limited data availability …

Long-term, high-resolution soil moisture (SM) is a vital variable for understanding the water-
energy cycle and the impacts of climate change on the Qinghai-Tibet Plateau (QTP) …

Soil temperature and soil moisture are key drivers of various soil ecological processes,
which implies a significant importance of datasets including their variations in space, depth …

Soil moisture (SM) plays a crucial role in land–atmosphere interaction systems, directly
influencing evapotranspiration, photosynthesis, and the water dynamics of the soil surface …

Plot-scale natural attenuation models provide valuable insights into localized pollutant
behavior but struggle to account for regional-scale hydrological processes. Existing …

Drought is a devastating natural disaster, during which water shortage often manifests itself
in the health of vegetation. Unfortunately, it is difficult to obtain high-resolution vegetation …

Most existing soil moisture (SM) products from earth observations and land surface models
over the Qinghai-Tibetan Plateau (QTP) have coarse resolutions or are mostly generated …

Surface soil moisture plays a pivotal role in various hydrological processes. Precisely
assessing soil moisture with high resolution is crucial for effective water resource …

Determination of soil volumetric water content θ in forest ecosystems is particularly
challenging due to deep rooting systems and unknown soil vertical and spatial …