[HTML][HTML] A roadmap for high-resolution satellite soil moisture applications–confronting product characteristics with user requirements
Soil moisture observations are of broad scientific interest and practical value for a wide
range of applications. The scientific community has made significant progress in estimating …
range of applications. The scientific community has made significant progress in estimating …
Soil moisture and sea surface salinity derived from satellite-borne sensors
J Boutin, S Yueh, R Bindlish, S Chan, D Entekhabi… - Surveys in …, 2023 - Springer
The monitoring of soil moisture and sea surface salinity over the Earth has been profoundly
enhanced during the last thirteen years due to a new generation of satellite sensors. L-band …
enhanced during the last thirteen years due to a new generation of satellite sensors. L-band …
Pan-tropical soil moisture mapping based on a three-layer model from CYGNSS GNSS-R data
In this paper, an effective schematic is developed for estimating soil moisture (SM) from
CYclone Global Navigation Satellite System (CYGNSS) data. Here, a three-layer model of …
CYclone Global Navigation Satellite System (CYGNSS) data. Here, a three-layer model of …
High spatio-temporal resolution CYGNSS soil moisture estimates using artificial neural networks
This paper presents a learning-based, physics-aware soil moisture (SM) retrieval algorithm
for NASA's Cyclone Global Navigation Satellite System (CYGNSS) mission. The goal of the …
for NASA's Cyclone Global Navigation Satellite System (CYGNSS) mission. The goal of the …
Description of the UCAR/CU soil moisture product
Currently, the ability to use remotely sensed soil moisture to investigate linkages between
the water and energy cycles and for use in data assimilation studies is limited to passive …
the water and energy cycles and for use in data assimilation studies is limited to passive …
Sentinel-1 soil moisture at 1 km resolution: a validation study
This study presents an assessment of a pre-operational soil moisture product at 1 km
resolution derived from satellite data acquired by the European Radar Observatory Sentinel …
resolution derived from satellite data acquired by the European Radar Observatory Sentinel …
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 …
Machine learning-based CYGNSS soil moisture estimates over ISMN sites in CONUS
Soil moisture (SM) derived from satellite-based remote sensing measurements plays a vital
role for understanding Earth's land and near-surface atmosphere interactions. Bistatic …
role for understanding Earth's land and near-surface atmosphere interactions. Bistatic …
An advanced change detection method for time-series soil moisture retrieval from Sentinel-1
The feasibility of soil moisture retrieval from C-band Sentinel-1 data has been widely
acknowledged, with pre-operational 1-km products currently available at regional and/or …
acknowledged, with pre-operational 1-km products currently available at regional and/or …
Deep learning-based soil moisture retrieval in conus using cygnss delay–doppler maps
National Aeronautics and Space Administration's Cyclone Global Navigation Satellite
System (CYGNSS) mission has gained significant attention within the land remote sensing …
System (CYGNSS) mission has gained significant attention within the land remote sensing …