中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Satellite Remote Sensing of Global Land Surface Temperature: Definition, Methods, Products, and Applications

文献类型:期刊论文

作者Li, Zhao-Liang1; Wu, Hua8; Duan, Si-Bo1; Zhao, Wei7; Ren, Huazhong6; Liu, Xiangyang1; Leng, Pei1; Tang, Ronglin; Ye, Xin6; Zhu, Jinshun6
刊名REVIEWS OF GEOPHYSICS
出版日期2023-03-01
卷号61期号:1页码:77
ISSN号8755-1209
DOI10.1029/2022RG000777
通讯作者Duan, Si-Bo(duansibo@caas.cn) ; Zhao, Wei(zhaow@imde.ac.cn)
英文摘要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.
WOS关键词URBAN HEAT-ISLAND ; SPLIT-WINDOW ALGORITHM ; THERMAL INFRARED DATA ; HIGH SPATIOTEMPORAL RESOLUTION ; EMISSIVITY SEPARATION ALGORITHM ; POLAR ORBITING SATELLITES ; RADIANCE-BASED VALIDATION ; SOIL-MOISTURE RETRIEVAL ; ENERGY-BALANCE MODELS ; KERNEL-DRIVEN MODELS
资助项目National Natural Science Foundation of China ; Central Public-interest Scientific Institution Basal Research Fund ; [41921001] ; [41671370] ; [Y2021XK26]
WOS研究方向Geochemistry & Geophysics
语种英语
出版者AMER GEOPHYSICAL UNION
WOS记录号WOS:000998878000001
资助机构National Natural Science Foundation of China ; Central Public-interest Scientific Institution Basal Research Fund
源URL[http://ir.igsnrr.ac.cn/handle/311030/194750]  
专题中国科学院地理科学与资源研究所
通讯作者Duan, Si-Bo; Zhao, Wei
作者单位1.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Key Lab Agr Remote Sensing, Minist Agr & Rural Affairs, Beijing, Peoples R China
2.Guangdong Acad Sci, Guangzhou Inst Geog, Ctr Ocean Remote Sensing Southern Marine Sci Engn, Guangzhou, Peoples R China
3.Beijing Normal Univ, Fac Geog Sci, Beijing Land Surface Remote Sensing Data Prod Engn, State Key Lab Remote Sensing Sci, Beijing, Peoples R China
4.Kunming Univ Sci & Technol, Fac Land Resource Engn, Kunming, Peoples R China
5.Hebei GEO Univ, Hebei Int Joint Res Ctr Remote Sensing Agr Drought, Shijiazhuang, Peoples R China
6.Peking Univ, Inst Remote Sensing & Geog Informat Syst, Sch Earth & Space Sci, Beijing, Peoples R China
7.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu, Peoples R China
8.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Li, Zhao-Liang,Wu, Hua,Duan, Si-Bo,et al. Satellite Remote Sensing of Global Land Surface Temperature: Definition, Methods, Products, and Applications[J]. REVIEWS OF GEOPHYSICS,2023,61(1):77.
APA Li, Zhao-Liang.,Wu, Hua.,Duan, Si-Bo.,Zhao, Wei.,Ren, Huazhong.,...&Zhou, Chenghu.(2023).Satellite Remote Sensing of Global Land Surface Temperature: Definition, Methods, Products, and Applications.REVIEWS OF GEOPHYSICS,61(1),77.
MLA Li, Zhao-Liang,et al."Satellite Remote Sensing of Global Land Surface Temperature: Definition, Methods, Products, and Applications".REVIEWS OF GEOPHYSICS 61.1(2023):77.

入库方式: OAI收割

来源:地理科学与资源研究所

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