基于多源信息的水资源立体监测研究综述

岩腊, 龙笛, 白亮亮, 张才金, 韩忠颖, 李兴东, 王文… - 遥感学报, 2021 - ygxb.ac.cn
水资源监测是水资源管理的基础和支撑. 随着中国最严格水资源管理制度的实施, 从水量, 水质,
用水效率3 方面的水资源管理开始向精细化和动态化管理转变. 水资源要素具有时空变异大 …

[HTML][HTML] Evaluation of 18 satellite-and model-based soil moisture products using in situ measurements from 826 sensors

HE Beck, M Pan, DG Miralles… - Hydrology and Earth …, 2021 - hess.copernicus.org
Abstract Information about the spatiotemporal variability of soil moisture is critical for many
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 …

Generation of spatially complete and daily continuous surface soil moisture of high spatial resolution

D Long, L Bai, L Yan, C Zhang, W Yang, H Lei… - Remote Sensing of …, 2019 - Elsevier
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 …

Evaluation of satellite and reanalysis estimates of surface and root-zone soil moisture in croplands of Jiangsu Province, China

L Fan, Z Xing, G De Lannoy, F Frappart, J Peng… - Remote Sensing of …, 2022 - Elsevier
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 …

Global-scale assessment and combination of SMAP with ASCAT (active) and AMSR2 (passive) soil moisture products

H Kim, R Parinussa, AG Konings, W Wagner… - Remote Sensing of …, 2018 - Elsevier
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 …

True global error maps for SMAP, SMOS, and ASCAT soil moisture data based on machine learning and triple collocation analysis

H Kim, W Crow, X Li, W Wagner, S Hahn… - Remote Sensing of …, 2023 - Elsevier
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 …

Evaluation of SMAP, SMOS, and AMSR2 soil moisture retrievals against observations from two networks on the Tibetan Plateau

Y Chen, K Yang, J Qin, Q Cui, H Lu, Z La… - Journal of …, 2017 - Wiley Online Library
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 …

A Bayesian machine learning method to explain the error characteristics of global-scale soil moisture products

H Kim, WT Crow, W Wagner, X Li, V Lakshmi - Remote Sensing of …, 2023 - Elsevier
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 …

[HTML][HTML] Generating seamless global daily AMSR2 soil moisture (SGD-SM) long-term products for the years 2013–2019

Q Zhang, Q Yuan, J Li, Y Wang, F Sun… - Earth System Science …, 2021 - essd.copernicus.org
High-quality and long-term soil moisture products are significant for hydrologic monitoring
and agricultural management. However, the acquired daily Advanced Microwave Scanning …