中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 地理科学与资源研究所
  3. 中国科学院地理科学与资源研究所
  4. 资源与环境信息系统国家重点实验室
  5. 外文论文
Satellite-derived land surface temperature: Current status and perspectives

文献类型：期刊论文

作者Li, Zhao-Liang1,2; Tang, Bo-Hui1; Wu, Hua1; Ren, Huazhong3; Yan, Guangjian3; Wan, Zhengming4; Trigo, Isabel F.5,6; Sobrino, Jose A.7
刊名REMOTE SENSING OF ENVIRONMENT
出版日期2013-04-15
卷号131页码:14-37
关键词Land surface temperature Land surface emissivity Retrieval Thermal infrared
ISSN号0034-4257
DOI10.1016/j.rse.2012.12.008
产权排序1
文献子类Review
英文摘要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.
WOS关键词THERMAL-INFRARED DATA ; SPLIT-WINDOW ALGORITHM ; TRACK SCANNING RADIOMETER ; HIGH-RESOLUTION RADIOMETER ; NEURAL-NETWORK TECHNIQUE ; IN-FLIGHT VALIDATION ; EMISSIVITY RETRIEVAL ; ATMOSPHERIC CORRECTION ; SINGLE-CHANNEL ; WATER-VAPOR
WOS研究方向Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000315546900002
出版者ELSEVIER
公开日期2014-12-24
源URL[http://192.168.22.105/handle/311030/30424]  
专题资源与环境信息系统国家重点实验室_外文论文
作者单位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.Trigo, Isabel F.] Inst Portugues Mar & Atmosfera, Lisbon, Portugal
6.Trigo, Isabel F.] Univ Lisbon, Inst Dom Luiz, P-1699 Lisbon, Portugal
7.Sobrino, Jose A.] Univ Valencia, Image Proc Lab, Valencia 46071, Spain
推荐引用方式
GB/T 7714		 Li, Zhao-Liang,Tang, Bo-Hui,Wu, Hua,et al. Satellite-derived land surface temperature: Current status and perspectives[J]. REMOTE SENSING OF ENVIRONMENT,2013,131:14-37.
APA Li, Zhao-Liang.,Tang, Bo-Hui.,Wu, Hua.,Ren, Huazhong.,Yan, Guangjian.,...&Sobrino, Jose A..(2013).Satellite-derived land surface temperature: Current status and perspectives.REMOTE SENSING OF ENVIRONMENT,131,14-37.
MLA Li, Zhao-Liang,et al."Satellite-derived land surface temperature: Current status and perspectives".REMOTE SENSING OF ENVIRONMENT 131(2013):14-37.

入库方式： OAI收割

来源：地理科学与资源研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。