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DOI | 10.1029/2022RG000777 |
Satellite Remote Sensing of Global Land Surface Temperature: Definition, Methods, Products, and Applications | |
Li, Zhao-Liang; Wu, Hua; Duan, Si-Bo; Zhao, Wei; Ren, Huazhong; Liu, Xiangyang; Leng, Pei; Tang, Ronglin; Ye, Xin; Zhu, Jinshun; Sun, Yingwei; Si, Menglin; Liu, Meng; Li, Jiahao; Zhang, Xia; Shang, Guofei; Tang, Bo-Hui; Yan, Guangjian; Zhou, Chenghu | |
发表日期 | 2023 |
ISSN | 8755-1209 |
EISSN | 1944-9208 |
卷号 | 61期号:1 |
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. |
语种 | 英语 |
WOS研究方向 | Geochemistry & Geophysics |
WOS类目 | Science Citation Index Expanded (SCI-EXPANDED) |
WOS记录号 | WOS:000998878000001 |
来源期刊 | REVIEWS OF GEOPHYSICS
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/281546 |
作者单位 | Chinese Academy of Agricultural Sciences; Institute of Agricultural Resources & Regional Planning, CAAS; Ministry of Agriculture & Rural Affairs; Chinese Academy of Sciences; Institute of Geographic Sciences & Natural Resources Research, CAS; Chinese Academy of Sciences; Institute of Mountain Hazards & Environment, CAS; Peking University; Hebei GEO University; Kunming University of Science & Technology; Beijing Normal University; Guangdong Academy of Sciences; Guangzhou Institute of Geography, Guangdong Academy of Sciences |
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],2023,61(1). |
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). |
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). |
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