Ground, proximal, and satellite remote sensing of soil moisture

E Babaeian, M Sadeghi, SB Jones… - Reviews of …, 2019 - Wiley Online Library
Soil moisture (SM) is a key hydrologic state variable that is of significant importance for
numerous Earth and environmental science applications that directly impact the global …

Modelling freshwater resources at the global scale: challenges and prospects

P Döll, H Douville, A Güntner, H Müller Schmied… - Surveys in …, 2016 - Springer
Quantification of spatially and temporally resolved water flows and water storage variations
for all land areas of the globe is required to assess water resources, water scarcity and flood …

Satellite soil moisture for agricultural drought monitoring: Assessment of the SMOS derived Soil Water Deficit Index

J Martínez-Fernández, A González-Zamora… - Remote Sensing of …, 2016 - Elsevier
Drought is a major cause of limited agricultural productivity and of crop yield uncertainty
throughout the world. For that reason, agricultural drought research and monitoring are of …

A spatial downscaling approach for the SMAP passive surface soil moisture product using random forest regression

W Zhao, N Sánchez, H Lu, A Li - Journal of hydrology, 2018 - Elsevier
The low-resolution characteristic of passive microwave surface soil moisture (SSM) products
greatly limits their application in many fields at regional or local scale. Aiming to overcome …

SMOS soil moisture assimilation for improved hydrologic simulation in the Murray Darling Basin, Australia

H Lievens, SK Tomer, A Al Bitar… - Remote Sensing of …, 2015 - Elsevier
This study explores the benefits of assimilating SMOS soil moisture retrievals for hydrologic
modeling, with a focus on soil moisture and streamflow simulations in the Murray Darling …

Improved water balance component estimates through joint assimilation of GRACE water storage and SMOS soil moisture retrievals

S Tian, P Tregoning, LJ Renzullo… - Water Resources …, 2017 - Wiley Online Library
The accuracy of global water balance estimates is limited by the lack of observations at large
scale and the uncertainties of model simulations. Global retrievals of terrestrial water storage …

Downscaling SMAP soil moisture using a wide & deep learning method over the Continental United States

M Xu, N Yao, H Yang, J Xu, A Hu, LGG de Goncalves… - Journal of …, 2022 - Elsevier
Soil moisture (SM) plays a critical role in drought monitoring, agricultural management, flood
forecasting, and other practical applications. However, the relatively coarse spatial …

A spatial downscaling method for SMAP soil moisture through visible and shortwave-infrared remote sensing data

F Hu, Z Wei, W Zhang, D Dorjee, L Meng - Journal of Hydrology, 2020 - Elsevier
Soil moisture (SM) plays an indispensable role in many practical applications, such as
drought monitoring, hydrologic applications and agricultural management. Passive …

An agenda for land data assimilation priorities: Realizing the promise of terrestrial water, energy, and vegetation observations from space

S Kumar, J Kolassa, R Reichle, W Crow… - Journal of Advances …, 2022 - Wiley Online Library
The task of quantifying spatial and temporal variations in terrestrial water, energy, and
vegetation conditions is challenging due to the significant complexity and heterogeneity of …