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      Satellite Remote Sensing of Global Land Surface Temperature: Definition, Methods, Products, and Applications

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          Abstract

          Land surface temperature (LST) is a crucial parameter that reflects land–atmosphere interaction and has thus attracted wide interest from geoscientists. Owing to the rapid development of Earth observation technologies, remotely sensed LST is playing an increasingly essential role in various fields. This review aims to summarize the progress in LST estimation algorithms and accelerate its further applications. Thus, we briefly review the most‐used thermal infrared (TIR) LST estimation algorithms. More importantly, this review provides a comprehensive collection of the widely used TIR‐based LST products and offers important insights into the uncertainties in these products with respect to different land cover conditions via a systematic intercomparison analysis of several representative products. In addition to the discussion on product accuracy, we address problems related to the spatial discontinuity, spatiotemporal incomparability, and short time span of current LST products by introducing the most effective methods. With the aim of overcoming these challenges in available LST products, much progress has been made in developing spatiotemporal seamless LST data, which significantly promotes the successful applications of these products in the field of surface evapotranspiration and soil moisture estimation, agriculture drought monitoring, thermal environment monitoring, thermal anomaly monitoring, and climate change. Overall, this review encompasses the most recent advances in TIR‐based LST and the state‐of‐the‐art of applications of LST products at various spatial and temporal scales, identifies critical further research needs and directions to advance and optimize retrieval methods, and promotes the application of LST to improve the understanding of surface thermal dynamics and exchanges.

          Plain Language Summary

          Land surface temperature (LST) is a crucial geophysical parameter related to surface energy and water balance of the land‐atmosphere system. Satellite remote sensing provides the best way to measure LST and generate various LST products at regional and global scales. In this review, to facilitate the application of LST products in different fields, we first present the physical meaning of satellite‐derived LST. Subsequently, we summarize recent advances in LST retrieval and validation methods, with a special focus on the state‐of‐the‐art product collections, product accuracies and intercomparisons, and main problems in current LST products as well as their possible solutions. Additionally, we also review the major applications of LST products in agricultural drought monitoring, thermal environment monitoring, thermal anomaly monitoring, and climate change. Finally, we offer recommendations or perspectives to promote LST retrieval methods and their applications. This review will aid the user in gaining a thorough comprehensive understanding of satellite‐derived LST products and promoting their appropriate applications.

          Key Points

          • State‐of‐the‐art satellite‐derived land surface temperature (LST) product levels, sources, uncertainties, and differences are provided

          • Typical applications of LST products in various fields are summarized

          • Future directions for the generation and applications of LST products are recommended

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          Most cited references391

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                Author and article information

                Contributors
                Journal
                Reviews of Geophysics
                Reviews of Geophysics
                American Geophysical Union (AGU)
                8755-1209
                1944-9208
                March 2023
                January 06 2023
                March 2023
                : 61
                : 1
                Affiliations
                [1 ] Key Laboratory of Agricultural Remote Sensing Ministry of Agriculture and Rural Affairs/Institute of Agricultural Resources and Regional Planning Chinese Academy of Agricultural Sciences Beijing China
                [2 ] State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing China
                [3 ] Institute of Mountain Hazards and Environment Chinese Academy of Sciences Chengdu China
                [4 ] Institute of Remote Sensing and Geographic Information System School of Earth and Space Sciences Peking University Beijing China
                [5 ] Hebei International Joint Research Center for Remote Sensing of Agricultural Drought Monitoring Hebei GEO University Shijiazhuang China
                [6 ] Faculty of Land Resource Engineering Kunming University of Science and Technology Kunming China
                [7 ] State Key Laboratory of Remote Sensing Science Faculty of Geographical Science Beijing Land Surface Remote Sensing Data Product Engineering Technology Research Center Beijing Normal University Beijing China
                [8 ] Center for Ocean Remote Sensing of Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) Guangzhou Institute of Geography Guangdong Academy of Sciences Guangzhou China
                Article
                10.1029/2022RG000777
                66135ad6-b4e7-4446-a855-503a3a76d0fb
                © 2023

                http://creativecommons.org/licenses/by/4.0/

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