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

Details

• Journal Title:
  Water Resources Research
• Personal Author:
  Huang, Jingyi ; Sehgal, Vinit ; Alvarez, Laura V. ; Brocca, Luca ; Cai, Shuohao ; Cheng, Rui ; Cheng, Xinghua ; Du, Jinyang ; Moreno, Hernan A.
• NOAA Program & Office:
  CESSRST (Cooperative Science Center for Earth System Sciences and Remote Sensing Technologies)
• Description:
  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.
• Keywords:
  Evapotranspiration Moisture Remote Sensing Soils Remote Sensing
• Source:
  Water Resources Research, 61, e2024WR037929
• DOI:
  https://doi.org/10.1029/2024WR037929
• Format:
  PDF
• Document Type:
  Journal Article
• Funding:
  Grant No. NA22SEC4810016
• License:
  https://creativecommons.org/licenses/by/4.0/
• Rights Information:
  CC BY
• Compliance:
  Submitted
• Main Document Checksum:
  urn:sha-512:7d3c1112018e5837a3b96249d161b3eb427c398b63736ca73dcdc465e0779840b6b133d0485b15fc7424236589c14b45b838e5bb17b04b9a849dac374df84fcd
• Download URL:
  https://repository.library.noaa.gov/view/noaa/72887/noaa_72887_DS1.pdf
• File Type:
  [PDF - 6.17 MB ]