Effective River system management is essential for conserving water resources, improving
agricultural productivity, and sustaining ecological health. Remote sensing is crucial for …

Remote sensing holds significant advantages in large-scale soil moisture (SM) monitoring,
providing numerous satellite SM products with valuable spatio-temporal insights and timely …

Surface soil moisture (SSM) is a vital component in terrestrial hydrological processes. As a
type of important microwave remote sensing-based SSM dataset, the Soil Moisture Active …

Soil moisture (SM) is a critical variable affecting ecosystem carbon and water cycles and
their feedback to climate change. In this study, we proposed a convolutional neural network …

Soil moisture (SM) and groundwater (GW) depletion triggered by anthropogenic and natural
climate change are influencing food security via crop production per capita decrease in the …

Environmental changes over time and across different regions profoundly affect agriculture,
forestry, water management, public health, and ecosystems. Therefore, monitoring these …

Downscaling of soil moisture data is important for high resolution hydrological modeling.
Most downscaling studies in the literature have used spatially discontinuous land surface …

Soil strength is an important factor for assessing the vehicle trafficability in the wilds and
making reliable off-road path planning. Rating Cone index (RCI) has been widely used as …

Purpose Accurate assessment of soil moisture content (SMC) is crucial for applications in
climate science, hydrology, ecology, and agriculture. However, conventional SMC …

Soil moisture is a critical component of the global land-surface hydrological cycle,
significantly impacting fields such as meteorology, agriculture, and water resource …