Soil moisture (SM) is a key hydrologic state variable that is of significant importance for
numerous Earth and environmental science applications that directly impact the global …

For map**, quantifying and monitoring regional and global forest health, satellite remote
sensing provides fundamental data for the observation of spatial and temporal forest …

Core Ideas Satellites, particularly at L‐band frequency, can globally map near‐surface soil
moisture. Near‐surface moisture is extended to the root zone using models and data …

Climate change increases the occurrence and severity of droughts due to increasing
temperatures, altered circulation patterns, and reduced snow occurrence. While Europe has …

Abstract The OPtical TRApezoid Model (OPTRAM) has recently been proposed for
estimation of soil moisture using only optical remote sensing data. The model relies on a …

Core Ideas We provide an overview of the TERENO‐Rur hydrological observatory. We
present information on general physical characteristics of the Rur catchment. Ongoing …

Core Ideas Numerous studies have been conducted to develop and examine the accuracy
of the method. Cosmic‐ray neutron soil moisture estimates compare well with independent …

Soil volumetric water content (VWC) is a vital parameter to understand several
ecohydrological and environmental processes. Its cost-effective measurement can …

Germany's 2018–2020 consecutive drought events resulted in multiple sectors–including
agriculture, forestry, water management, energy production, and transport–being impacted …

Critical to the reliable application of gridded soil moisture products is a thorough assessment
of their quality at spatially compatible scales. While previous studies have attempted to …