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 …

A hydrological model is a useful tool to study the effects of human activities and climate
change on hydrology. Accordingly, the performance of hydrological modeling is vitally …

Abstract Information about the spatiotemporal variability of soil moisture is critical for many
purposes, including monitoring of hydrologic extremes, irrigation scheduling, and prediction …

Soil moisture is a key environmental variable, important to, eg, farmers, meteorologists, and
disaster management units. Here, we present a method to retrieve surface soil moisture …

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 …

Soil moisture is a key environmental variable, important to eg, farmers, meteorologists, and
disaster management units. We fuse surface soil moisture (SSM) estimates from spatio …

Many satellite soil moisture products are today globally available in near real-time. These
observations are of paramount importance for enhancing the understanding of the …

Satellite Earth observations (EO) are an accurate and reliable data source for atmospheric
and environmental science. Their increasing spatial and temporal resolution, as well as the …

This research paper presents a systematic literature review on the use of remotely sensed
and/or global datasets in distributed hydrological modelling. The study aims to investigate …

Abstract Since 2010, SMOS (Soil Moisture and Ocean Salinity) retrievals of surface soil
moisture (SM) and vegetation optical depth (VOD) have been produced through the …