Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1080/01431161.2011.617396 |
Intercomparison of methods for estimating land surface temperature from a Landsat-5 TM image in an arid region with low water vapour in the atmosphere | |
Zhou, Ji1,2; Li, Jing2; Zhang, Lixin3,4; Hu, Deyong5; Zhan, Wenfeng2 | |
通讯作者 | Li, Jing |
来源期刊 | INTERNATIONAL JOURNAL OF REMOTE SENSING
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ISSN | 0143-1161 |
EISSN | 1366-5901 |
出版年 | 2012 |
卷号 | 33期号:8页码:2582-2602 |
英文摘要 | This study compares the methods for retrieving the land surface temperature (LST) (T-s) from Landsat-5 TM (Thematic Mapper) data, including the radiative transfer equation (RTE) method, the mono-window algorithm (MWA) and the generalized single-channel (GSC) method in an arid region with low atmospheric water vapour content. In addition, T-s calculated without atmospheric correction of TM band 6 is also assessed. The intercomparison is divided into two parts. The first part is applying the methods at the Biandukou site (100 degrees 58’ E, 38 degrees 16’ N, elevation = 2690 m) and the second part is applying them at Binggou (100 degrees 13’ E, 38 degrees 42’ N, elevation = 3400 m) and Arou (100 degrees 27’ E, 38 degrees 36’ N, elevation = 2960 m) sites. Results demonstrate that these methods provide acceptable accuracies at the Biandukou site. At this site, GSC generates nearly the same accuracy as RTE; MWA estimations are slightly less accurate than RTE and GSC; estimations without atmospheric correction of TM band 6 exhibit the largest errors. On the other hand, MWA is a good choice for retrieving the LST at Binggou and Arou sites. In cases where the meteorological parameters are unavailable, it is an alternative option to calculate T-s directly from TM band 6 image without atmospheric correction at these two sites. |
类型 | Article |
语种 | 英语 |
国家 | Peoples R China |
收录类别 | SCI-E |
WOS记录号 | WOS:000302162700015 |
WOS关键词 | MONO-WINDOW ALGORITHM ; REMOTE-SENSING DATA ; SATELLITE DATA ; NET-RADIATION ; EMISSIVITY ; RETRIEVAL ; FLUXES ; COVER ; AREA ; SOIL |
WOS类目 | Remote Sensing ; Imaging Science & Photographic Technology |
WOS研究方向 | Remote Sensing ; Imaging Science & Photographic Technology |
来源机构 | 北京师范大学 |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/172987 |
作者单位 | 1.Univ Elect Sci & Technol China, Inst Geospatial Informat Sci & Technol, Chengdu 610054, Peoples R China; 2.Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Acad Disaster Reduct & Emergency Management, Beijing 100875, Peoples R China; 3.Beijing Normal Univ, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China; 4.Chinese Acad Sci, Inst Remote Sensing Applicat, Beijing 100875, Peoples R China; 5.Capital Normal Univ, Coll Resources Environm & Tourism, Beijing 100037, Peoples R China |
推荐引用方式 GB/T 7714 | Zhou, Ji,Li, Jing,Zhang, Lixin,et al. Intercomparison of methods for estimating land surface temperature from a Landsat-5 TM image in an arid region with low water vapour in the atmosphere[J]. 北京师范大学,2012,33(8):2582-2602. |
APA | Zhou, Ji,Li, Jing,Zhang, Lixin,Hu, Deyong,&Zhan, Wenfeng.(2012).Intercomparison of methods for estimating land surface temperature from a Landsat-5 TM image in an arid region with low water vapour in the atmosphere.INTERNATIONAL JOURNAL OF REMOTE SENSING,33(8),2582-2602. |
MLA | Zhou, Ji,et al."Intercomparison of methods for estimating land surface temperature from a Landsat-5 TM image in an arid region with low water vapour in the atmosphere".INTERNATIONAL JOURNAL OF REMOTE SENSING 33.8(2012):2582-2602. |
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