In arid and semi-arid climatic areas, lakes are extremely essential for fragile ecological
environment and regional sustainable development. Ebinur Lake is an important component …

The main objective of this work was to retrieve surface soil moisture (SSM) by using
scattering models and a support vector machine (SVM) technique driven by backscattering …

Soil water is a critical component of the water balance to make water management decisions
at multiple scales. While soil water can be sensed remotely, this is generally at coarse …

The role of soil moisture in the water, energy and carbon cycle of the Earth cannot be
understated. Soil moisture has a major impact on agriculture, land surface hydrology …

Soil moisture (SM) downscaling has been extensively investigated in recent years to
improve coarse resolution of SM products. However, available methods for downscaling are …

Spatial downscaling of remotely sensed products is one of the main ways to obtain earth
observations at fine resolution. Area-to-point (ATP) geostatistical techniques, in which …

Precipitation and surface runoff vary strongly in space and time across Morocco. The
country's water management is primarily governed at the basin level, following a …

The improved spatio-temporal resolution of the C-band Sentinel 1 Synthetic Aperture Radar
(SAR) mission has increased the number of possibilities in soil moisture retrieval studies. In …

Soil moisture (SM) data are required at high spatio-temporal resolution—typically the crop
field scale every 3–6 days—for agricultural and hydrological purposes. To provide such high …

This study assesses the impact of an improved soil moisture (SM) initialization using direct
insertion methodology for convection-resolving modelling of heavy precipitation events …