遥感高分辨率土壤水分和蒸散:弥合科学与社会之间的差距

IF 4.6 1区 地球科学 Q2 ENVIRONMENTAL SCIENCES
Jingyi Huang, Vinit Sehgal, Laura V. Alvarez, Luca Brocca, Shuohao Cai, Rui Cheng, Xinghua Cheng, Jinyang Du, Bassil El Masri, K. Arthur Endsley, Yilin Fang, Jie Hu, Mahesh Jampani, Md Golam Kibria, Gerbrand Koren, Lingcheng Li, Laibao Liu, Jiafu Mao, Hernan A. Moreno, Angela Rigden, Mingjie Shi, Xiaoying Shi, Yaoping Wang, Xi Zhang, Joshua B. Fisher
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引用次数: 0

摘要

本文综述了高分辨率遥感土壤湿度(SM)和蒸散发(ET)产品和建模的现状,以及SM和ET之间的耦合关系。卫星无源微波产品的SM降尺度方法利用了人工智能和高分辨率遥感技术的进步,包括可见光、近红外、热红外和合成孔径雷达传感器。遥感ET在时空分辨率上不断进步,从MODIS到ECOSTRESS再到Hydrosat等。这些进展使人们能够对反映土地覆盖和土地利用在田间尺度(3-30 m,每日)上的生物-地球-物理控制和SM与ET之间的耦合反馈机制有新的认识。尽管如此,最先进的科学产品仍有其挑战和局限性,我们将详细介绍数据、检索算法和应用程序。我们描述了这些数据在推进10个应用领域的作用:干旱评估、粮食安全、精准农业、土壤盐渍化、野火建模、沙尘监测、洪水预报、城市水、能源和生态系统管理、生态水文和生物多样性保护。我们讨论了未来的科学进步应侧重于开发开放获取、高分辨率(3-30米)、次每日SM和ET产品,从而能够在更精细的尺度上评估水文过程,并彻底改变世界上数据有限地区的社会应用,特别是全球南方的社会经济发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Remotely Sensed High-Resolution Soil Moisture and Evapotranspiration: Bridging the Gap Between Science and Society
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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来源期刊
Water Resources Research
Water Resources Research 环境科学-湖沼学
CiteScore
8.80
自引率
13.00%
发文量
599
审稿时长
3.5 months
期刊介绍: Water Resources Research (WRR) is an interdisciplinary journal that focuses on hydrology and water resources. It publishes original research in the natural and social sciences of water. It emphasizes the role of water in the Earth system, including physical, chemical, biological, and ecological processes in water resources research and management, including social, policy, and public health implications. It encompasses observational, experimental, theoretical, analytical, numerical, and data-driven approaches that advance the science of water and its management. Submissions are evaluated for their novelty, accuracy, significance, and broader implications of the findings.
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