[HTML][HTML] Validation practices for satellite soil moisture retrievals: What are (the) errors?

A Gruber, G De Lannoy, C Albergel, A Al-Yaari… - Remote sensing of …, 2020 - Elsevier
This paper presents a community effort to develop good practice guidelines for the validation
of global coarse-scale satellite soil moisture products. We provide theoretical background, a …

Investigating soil moisture–climate interactions in a changing climate: A review

SI Seneviratne, T Corti, EL Davin, M Hirschi… - Earth-Science …, 2010 - Elsevier
Soil moisture is a key variable of the climate system. It constrains plant transpiration and
photosynthesis in several regions of the world, with consequent impacts on the water …

Soil moisture experiment in the Luan River supporting new satellite mission opportunities

T Zhao, J Shi, L Lv, H Xu, D Chen, Q Cui… - Remote Sensing of …, 2020 - Elsevier
Abstract The Soil Moisture Experiment in the Luan River (SMELR) was conducted from 2017
to 2018 in the semi-arid Luan River watershed located in the North of China. One of the …

Upscaling sparse ground‐based soil moisture observations for the validation of coarse‐resolution satellite soil moisture products

WT Crow, AA Berg, MH Cosh, A Loew… - Reviews of …, 2012 - Wiley Online Library
The contrast between the point‐scale nature of current ground‐based soil moisture
instrumentation and the ground resolution (typically> 102 km2) of satellites used to retrieve …

Machine learning techniques for downscaling SMOS satellite soil moisture using MODIS land surface temperature for hydrological application

PK Srivastava, D Han, MR Ramirez, T Islam - Water resources …, 2013 - Springer
Many hydrologic phenomena and applications such as drought, flood, irrigation
management and scheduling needs high resolution satellite soil moisture data at a …

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 …

Catchment scale soil moisture spatial–temporal variability

L Brocca, T Tullo, F Melone, T Moramarco… - Journal of …, 2012 - Elsevier
The characterization of the spatial–temporal variability of soil moisture is of paramount
importance in many scientific fields and operational applications. However, due to the high …

Assimilation of surface-and root-zone ASCAT soil moisture products into rainfall–runoff modeling

L Brocca, T Moramarco, F Melone… - … on Geoscience and …, 2011 - ieeexplore.ieee.org
Nowadays, the availability of soil moisture estimates from satellite sensors offers a great
chance to improve real-time flood forecasting through data assimilation. In this paper, two …

Land data assimilation: Harmonizing theory and data in land surface process studies

X Li, F Liu, C Ma, J Hou, D Zheng, H Ma… - Reviews of …, 2024 - Wiley Online Library
Data assimilation plays a dual role in advancing the “scientific” understanding and serving
as an “engineering tool” for the Earth system sciences. Land data assimilation (LDA) has …

The soil moisture active passive experiments (SMAPEx): Toward soil moisture retrieval from the SMAP mission

R Panciera, JP Walker, TJ Jackson… - IEEE transactions on …, 2013 - ieeexplore.ieee.org
NASA's Soil Moisture Active Passive (SMAP) mission will carry the first combined
spaceborne L-band radiometer and Synthetic Aperture Radar (SAR) system with the …