Satellite-derived land surface temperature: Current status and perspectives

REMOTE SENSING OF ENVIRONMENT

卷:131

Review

Li, Zhao-Liang^1,2  Tang, Bo-Hui¹  Wu, Hua¹  Ren, Huazhong³  Yan, Guangjian³  Wan, Zhengming⁴  Trigo, Isabel F.^5,6  Sobrino, Jose A.⁷ 

[1] Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China

[2] CNRS, UdS, LSIIT, Blvd Sebastien Brant,BP10413, F-67412 Illkirch Graffenstaden, France

[3] Beijing Normal Univ, Sch Geog, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China

[4] Univ Calif Santa Barbara, ERI, Santa Barbara, CA 93106 USA

[5] Inst Portugues Mar & Atmosfera, Lisbon, Portugal

[6] Univ Lisbon, Inst Dom Luiz, P-1699 Lisbon, Portugal

[7] Univ Valencia, Image Proc Lab, Valencia 46071, Spain

关键词: Land surface temperature;    Land surface emissivity;    Retrieval;    Thermal infrared;   

DOI  :  10.1016/j.rse.2012.12.008

来源: Elsevier

【 摘 要 】

Land surface temperature (LST) is one of the key parameters in the physics of land surface processes from local through global scales. The importance of LST is being increasingly recognized and there is a strong interest in developing methodologies to measure LST from space. However, retrieving LST is still a challenging task since the LST retrieval problem is ill-posed. This paper reviews the current status of selected remote sensing algorithms for estimating LST from thermal infrared (TIR) data. A brief theoretical background of the subject is presented along with a survey of the algorithms employed for obtaining LST from space-based TIR measurements. The discussion focuses on TIR data acquired from polar-orbiting satellites because of their widespread use, global applicability and higher spatial resolution compared to geostationary satellites. The theoretical framework and methodologies used to derive the LST from the data are reviewed followed by the methodologies for validating satellite-derived LST. Directions for future research to improve the accuracy of satellite-derived LST are then suggested. (c) 2012 Elsevier Inc. All rights reserved.

【 授权许可】

Free