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 …
[HTML][HTML] A 1 km daily soil moisture dataset over China using in situ measurement and machine learning
High-quality gridded soil moisture products are essential for many Earth system science
applications, while the recent reanalysis and remote sensing soil moisture data are often …
applications, while the recent reanalysis and remote sensing soil moisture data are often …
The influence of soil moisture on convective activity: a review
W Liu, Q Zhang, C Li, L Xu, W **ao - Theoretical and Applied Climatology, 2022 - Springer
Soil moisture (SM) influences the initiation and development of convective systems and
consequently the generation and development of precipitation through land–air interaction …
consequently the generation and development of precipitation through land–air interaction …
Improving Jakarta's katulampa barrage extreme water level prediction using satellite-based long short-term memory (LSTM) neural networks
Jakarta, the capital region of Indonesia, is experiencing recurring floods, with the most
extensive recording loss as high as 350 million dollars. Katulampa Barrage's observation of …
extensive recording loss as high as 350 million dollars. Katulampa Barrage's observation of …
Soil moisture influences on Sierra Nevada dead fuel moisture content and fire risks
Dead fuel moisture influences the risk of fire ignition events, with implications for fire
hazards, risk mitigation, and the design of prescribed burning activities. Because direct fuel …
hazards, risk mitigation, and the design of prescribed burning activities. Because direct fuel …
Identifying relative strengths of SMAP, SMOS-IC, and ASCAT to capture temporal variability
This study evaluates the relative strengths of three remotely sensed soil moisture (SM)
products to capture temporal variability at a global scale, the products being the Soil …
products to capture temporal variability at a global scale, the products being the Soil …
[HTML][HTML] On the relation between antecedent basin conditions and runoff coefficient for European floods
The event runoff coefficient (ie the ratio between event runoff and precipitation that
originated the runoff) is a key factor for understanding basin response to precipitation …
originated the runoff) is a key factor for understanding basin response to precipitation …
Generation of global 1-km daily soil moisture product from 2000 to 2020 using ensemble learning
Motivated by the lack of long-term global soil moisture products with both high spatial and
temporal resolutions, a global 1-km daily spatiotemporally continuous soil moisture product …
temporal resolutions, a global 1-km daily spatiotemporally continuous soil moisture product …
Characterizing satellite soil moisture drydown: A bivariate filtering approach
Drying of soil impacts land energy and water balance, influences the sustainability of
vegetation growth, and modulates hydrological extremes including floods. While satellite soil …
vegetation growth, and modulates hydrological extremes including floods. While satellite soil …
A deep learning data fusion model using sentinel-1/2, SoilGrids, SMAP, and GLDAS for soil moisture retrieval
We develop a deep learning–based convolutional-regression model that estimates the
volumetric soil moisture content in the top∼ 5 cm of soil. Input predictors include Sentinel-1 …
volumetric soil moisture content in the top∼ 5 cm of soil. Input predictors include Sentinel-1 …