A review of spatial downscaling of satellite remotely sensed soil moisture
Satellite remote sensing technology has been widely used to estimate surface soil moisture.
Numerous efforts have been devoted to develop global soil moisture products. However …
Numerous efforts have been devoted to develop global soil moisture products. However …
Spatially enhanced passive microwave derived soil moisture: Capabilities and opportunities
Low frequency passive microwave remote sensing is a proven technology for providing soil
moisture estimates, but the coarse resolution of its data restricts the range of applications …
moisture estimates, but the coarse resolution of its data restricts the range of applications …
Soil moisture for hydrological applications: Open questions and new opportunities
Soil moisture is widely recognized as a key parameter in the mass and energy balance
between the land surface and the atmosphere and, hence, the potential societal benefits of …
between the land surface and the atmosphere and, hence, the potential societal benefits of …
Quasi-global machine learning-based soil moisture estimates at high spatio-temporal scales using CYGNSS and SMAP observations
Global soil moisture mapping at high spatial and temporal resolution is important for various
meteorological, hydrological, and agricultural applications. Recent research shows that the …
meteorological, hydrological, and agricultural applications. Recent research shows that the …
Modeling relationship between land surface temperature anomaly and environmental factors using GEE and Giovanni
AA Jamali, RG Kalkhajeh, TO Randhir, S He - Journal of Environmental …, 2022 - Elsevier
Land surface temperature (LST) and vegetation cover changes are two indicators of
landscapes in a region. The relationship between LST anomalies, elevation, vegetation, and …
landscapes in a region. The relationship between LST anomalies, elevation, vegetation, and …
Downscaling SMAP radiometer soil moisture over the CONUS using an ensemble learning method
P Abbaszadeh, H Moradkhani… - Water Resources …, 2019 - Wiley Online Library
Soil moisture plays a critical role in improving the weather and climate forecast and
understanding terrestrial ecosystem processes. It is a key hydrologic variable in agricultural …
understanding terrestrial ecosystem processes. It is a key hydrologic variable in agricultural …
Soil moisture simulation using hybrid artificial intelligent model: Hybridization of adaptive neuro fuzzy inference system with grey wolf optimizer algorithm
Accurate estimation of soil moisture content is necessary for optimal management of water
and soil resources. Soil moisture is an important variable in the hydrologic cycle, which …
and soil resources. Soil moisture is an important variable in the hydrologic cycle, which …
Drought monitoring using high spatial resolution soil moisture data over Australia in 2015–2019
Drought is one of the major hazards that could have a significant impact on agriculture. In
this study, two drought indices at high spatial resolution: Soil Water Deficit Index (SWDI) and …
this study, two drought indices at high spatial resolution: Soil Water Deficit Index (SWDI) and …
Assimilating soil moisture retrieved from Sentinel-1 and Sentinel-2 data into WOFOST model to improve winter wheat yield estimation
Crop yield estimation at a regional scale over a long period of time is of great significance to
food security. In past decades, the integration of remote sensing observations and crop …
food security. In past decades, the integration of remote sensing observations and crop …
A global 1‐km downscaled SMAP soil moisture product based on thermal inertia theory
Microwave remote sensing technology has been applied to produce soil moisture (SM)
retrievals on a global scale for various studies and applications. However, due to the …
retrievals on a global scale for various studies and applications. However, due to the …