[HTML][HTML] Evaluation of 18 satellite-and model-based soil moisture products using in situ measurements from 826 sensors
Abstract Information about the spatiotemporal variability of soil moisture is critical for many
purposes, including monitoring of hydrologic extremes, irrigation scheduling, and prediction …
purposes, including monitoring of hydrologic extremes, irrigation scheduling, and prediction …
Multi-layer high-resolution soil moisture estimation using machine learning over the United States
The lack of proper understanding of multi-layer soil moisture (SM) profile (signals) remains a
persistent challenge in sustainable agricultural water management and food security …
persistent challenge in sustainable agricultural water management and food security …
Version 4 of the SMAP level‐4 soil moisture algorithm and data product
Abstract The NASA Soil Moisture Active Passive (SMAP) mission Level‐4 Soil Moisture (L.
4_SM) product provides global, 3‐hourly, 9‐km resolution estimates of surface (0–5 cm) and …
4_SM) product provides global, 3‐hourly, 9‐km resolution estimates of surface (0–5 cm) and …
Global-scale assessment and combination of SMAP with ASCAT (active) and AMSR2 (passive) soil moisture products
Global-scale surface soil moisture (SSM) products retrieved from active and passive
microwave remote sensing provide an effective method for monitoring near-real-time SSM …
microwave remote sensing provide an effective method for monitoring near-real-time SSM …
Global soil moisture data derived through machine learning trained with in-situ measurements
R Orth - Scientific Data, 2021 - nature.com
While soil moisture information is essential for a wide range of hydrologic and climate
applications, spatially-continuous soil moisture data is only available from satellite …
applications, spatially-continuous soil moisture data is only available from satellite …
A machine learning-based approach for surface soil moisture estimations with google earth engine
Due to its relation to the Earth's climate and weather and phenomena like drought, flooding,
or landslides, knowledge of the soil moisture content is valuable to many scientific and …
or landslides, knowledge of the soil moisture content is valuable to many scientific and …
Estimating surface soil moisture from satellite observations using a generalized regression neural network trained on sparse ground-based measurements in the …
This study attempted to develop a point-surface collaborative inversion (PSCI) method for
the estimation of regional surface soil moisture (SSM) using a generalized regression neural …
the estimation of regional surface soil moisture (SSM) using a generalized regression neural …
Global evaluation of SMAP/Sentinel-1 soil moisture products
SMAP/Sentinel-1 soil moisture is the latest SMAP (Soil Moisture Active Passive) product
derived from synergistic utilization of the radiometry observations of SMAP and radar …
derived from synergistic utilization of the radiometry observations of SMAP and radar …
Global scale map** of subsurface scattering signals impacting ASCAT soil moisture retrievals
Soil moisture retrievals from the Advanced Scatterometer (ASCAT) have so far relied on the
assumption that soil backscatter increases monotonically with soil moisture content …
assumption that soil backscatter increases monotonically with soil moisture content …
Intercomparison of electromagnetic scattering models for delay-Doppler maps along a CYGNSS land track with topography
JD Campbell, R Akbar, A Bringer… - … on Geoscience and …, 2022 - ieeexplore.ieee.org
A comparison of three different electromagnetic scattering models for land surface delay-
Doppler maps (DDMs) obtained from global navigation satellite system reflectometry (GNSS …
Doppler maps (DDMs) obtained from global navigation satellite system reflectometry (GNSS …