[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 …
[HTML][HTML] Remote sensing technology in the construction of digital twin basins: Applications and prospects
X Wu, G Lu, Z Wu - Water, 2023 - mdpi.com
A digital twin basin serves as a virtual representation of a physical basin, enabling
synchronous simulation, virtual–real interaction, and iterative optimization. The construction …
synchronous simulation, virtual–real interaction, and iterative optimization. The construction …
Generation of spatially complete and daily continuous surface soil moisture of high spatial resolution
Surface soil moisture (SSM), as a vital variable for water and heat exchanges between the
land surface and the atmosphere, is essential for agricultural production and drought …
land surface and the atmosphere, is essential for agricultural production and drought …
Evaluation of satellite and reanalysis estimates of surface and root-zone soil moisture in croplands of Jiangsu Province, China
High-quality and long-term surface soil moisture (SSM) and root-zone soil moisture (RZSM)
data are critical for agricultural water management of Jiangsu province, which is a major …
data are critical for agricultural water management of Jiangsu province, which is a major …
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 …
True global error maps for SMAP, SMOS, and ASCAT soil moisture data based on machine learning and triple collocation analysis
Quantifying the accuracy of the satellite-based soil moisture (SM) data is important for a
number of key applications, such as: combining satellite-based SM products for long-term …
number of key applications, such as: combining satellite-based SM products for long-term …
Evaluation of SMAP, SMOS, and AMSR2 soil moisture retrievals against observations from two networks on the Tibetan Plateau
Two soil moisture and temperature monitoring networks were established in the Tibetan
Plateau (TP) during recent years. One is located in a semihumid area (Naqu) of central TP …
Plateau (TP) during recent years. One is located in a semihumid area (Naqu) of central TP …
A Bayesian machine learning method to explain the error characteristics of global-scale soil moisture products
Estimating accurate surface soil moisture (SM) dynamics from space, and knowing the error
characteristics of these estimates, is of great importance for the application of satellite-based …
characteristics of these estimates, is of great importance for the application of satellite-based …
[HTML][HTML] Generating seamless global daily AMSR2 soil moisture (SGD-SM) long-term products for the years 2013–2019
High-quality and long-term soil moisture products are significant for hydrologic monitoring
and agricultural management. However, the acquired daily Advanced Microwave Scanning …
and agricultural management. However, the acquired daily Advanced Microwave Scanning …
Evaluation and analysis of AMSR‐2, SMOS, and SMAP soil moisture products in the Genhe area of China
High‐precision soil moisture products play an important role in estimating forest carbon
storage and carbon emissions in Genhe, China. In this paper, we evaluated the Soil …
storage and carbon emissions in Genhe, China. In this paper, we evaluated the Soil …