Remotely Sensed High‐Resolution Soil Moisture and Evapotranspiration: Bridging the Gap Between Science and Society

Huang, Jingyi; Sehgal, Vinit; Alvarez, Laura V.; Brocca, Luca; Cai, Shuohao; Cheng, Rui; Cheng, Xinghua; Du, Jinyang; El Masri, Bassil; Endsley, K. Arthur; Fang, Yilin; Hu, Jie; Jampani, Mahesh; Kibria, Md Golam; Koren, Gerbrand; Li, Lingcheng; Liu, Laibao; Mao, Jiafu; Moreno, Hernan A.; Rigden, Angela; Shi, Mingjie; Shi, Xiaoying; Wang, Yaoping; Zhang, Xi; Fisher, Joshua B.

doi:10.1029/2024WR037929

Title: Remotely Sensed High‐Resolution Soil Moisture and Evapotranspiration: Bridging the Gap Between Science and Society

Journal Article · Tue May 13 00:00:00 UTC 2025 · Water Resources Research

DOI: https://doi.org/10.1029/2024WR037929 · OSTI ID:2567142

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Univ. of Wisconsin, Madison, WI (United States)
Louisiana State Univ., Baton Rouge, LA (United States)
Univ. of Texas at El Paso, TX (United States)
National Research Council (CNR), Perugia (Italy)
Claremont McKenna College, Claremont, CA (United States)
Univ. of Connecticut, Storrs, CT (United States)
Univ. of Montana, Missoula, MT (United States)
Murray State University, KY (United States)
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
International Water Management Institute (IWMI‐CGIAR), Colombo (Sri Lanka)
Morehead State Univ., KY (United States)
Utrecht University (Netherlands)
Univ. of Hong Kong, Pokfulam (Hong Kong)
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Department of Earth System Science University of California Irvine CA USA
Univ. of Tennessee, Knoxville, TN (United States)
Chapman Univ., Orange, CA (United States); Hydrosat USA, Washington, DC (United States)

This paper reviews the current state of high‐resolution remotely sensed soil moisture (SM) and evapotranspiration (ET) products and modeling, and the coupling relationship between SM and ET. SM downscaling approaches for satellite passive microwave products leverage advances in artificial intelligence and high‐resolution remote sensing using visible, near‐infrared, thermal‐infrared, and synthetic aperture radar sensors. Remotely sensed ET continues to advance in spatiotemporal resolutions from MODIS to ECOSTRESS to Hydrosat and beyond. These advances enable a new understanding of bio‐geo‐physical controls and coupled feedback mechanisms between SM and ET reflecting the land cover and land use at field scale (3–30 m, daily). Still, the state‐of‐the‐science products have their challenges and limitations, which we detail across data, retrieval algorithms, and applications. We describe the roles of these data in advancing 10 application areas: drought assessment, food security, precision agriculture, soil salinization, wildfire modeling, dust monitoring, flood forecasting, urban water, energy, and ecosystem management, ecohydrology, and biodiversity conservation. We discuss that future scientific advancement should focus on developing open‐access, high‐resolution (3–30 m), sub‐daily SM and ET products, enabling the evaluation of hydrological processes at finer scales and revolutionizing the societal applications in data‐limited regions of the world, especially the Global South for socio‐economic development.

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Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)

Sponsoring Organization:: European Space Agency (ESA); European Union (EU); National Aeronautics and Space Administration (NASA); National Oceanic and Atmospheric Administration (NOAA); National Science Foundation (NSF); US Army Research Office (ARO); USDA; USDOE Laboratory Directed Research and Development (LDRD) Program; USDOE Office of Science (SC), Biological and Environmental Research (BER). Earth & Environmental Systems Science (EESS); USDOE Office of Science (SC), Biological and Environmental Research (BER). Earth & Environmental Systems Science (EESS)

Grant/Contract Number:: AC05-00OR22725; AC05-76RL01830; SC0022228

OSTI ID:: 2567142

Report Number(s):: PNNL-SA--198309

Journal Information:: Water Resources Research, Journal Name: Water Resources Research Journal Issue: 5 Vol. 61; ISSN 1944-7973; ISSN 0043-1397

Publisher:: American Geophysical Union (AGU)Copyright Statement

Country of Publication:: United States

Language:: English

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Resolution Enhancement of Remotely Sensed Land Surface Temperature: Current Status and Perspectives Mao, Qi; Peng, Jian; Wang, Yanglin Remote Sensing, Vol. 13, Issue 7 https://doi.org/10.3390/rs13071306	journal	March 2021
Evapotranspiration Acquired with Remote Sensing Thermal-Based Algorithms: A State-of-the-Art Review García-Santos, Vicente; Sánchez, Juan; Cuxart, Joan Remote Sensing, Vol. 14, Issue 14 https://doi.org/10.3390/rs14143440	journal	July 2022
Local Scale (3-m) Soil Moisture Mapping Using SMAP and Planet SuperDove Du, Jinyang; Kimball, John S.; Bindlish, Rajat Remote Sensing, Vol. 14, Issue 15 https://doi.org/10.3390/rs14153812	journal	August 2022
Retrieval of Live Fuel Moisture Content Based on Multi-Source Remote Sensing Data and Ensemble Deep Learning Model Xie, Jiangjian; Qi, Tao; Hu, Wanjun Remote Sensing, Vol. 14, Issue 17 https://doi.org/10.3390/rs14174378	journal	September 2022
Spatial Downscaling of Satellite-Based Soil Moisture Products Using Machine Learning Techniques: A Review Senanayake, Indishe P.; Pathira Arachchilage, Kalani R. L.; Yeo, In-Young Remote Sensing, Vol. 16, Issue 12 https://doi.org/10.3390/rs16122067	journal	June 2024
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Demonstrating the Potential of a Low-Cost Soil Moisture Sensor Network Briciu-Burghina, Ciprian; Zhou, Jiang; Ali, Muhammad Intizar Sensors, Vol. 22, Issue 3 https://doi.org/10.3390/s22030987	journal	January 2022
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