Currently, the world is facing high competition and market risks in improving yield, crop
illness, and crop water stress. This could potentially be addressed by technological …

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 …

Abstract Launched in January 2015, the National Aeronautics and Space Administration
(NASA) Soil Moisture Active Passive (SMAP) observatory was designed to provide frequent …

The National Aeronautics and Space Administration Soil Moisture Active Passive (SMAP)
mission has been validating its soil moisture (SM) products since the start of data production …

Abstract The “trapezoid” or “triangle” model constitutes the most popular approach to remote
sensing (RS) of surface soil moisture based on coupled thermal (ie, land surface …

Soil moisture (SM) is an important biophysical parameter by which to evaluate water
resource potential, especially for agricultural activities under the pressure of global warming …

Large-scale crop monitoring and yield estimation are important for both scientific research
and practical applications. Satellite remote sensing provides an effective means for regional …

Empirical thresholds indicating the meteorological conditions leading to shallow landslide
triggering are one of the most important components of landslide early warning systems …

Climatology (mean seasonal cycle) errors often cause large differences between soil
moisture products. However, relatively little work has been done to objectively evaluate soil …

Abstract The Consistent Artificial Intelligence (AI)-based Soil Moisture (CASM) dataset is a
global, consistent, and long-term, remote sensing soil moisture (SM) dataset created using …