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DOI | 10.1029/2018JD029330 |
A Practical Single-Channel Algorithm for Land Surface Temperature Retrieval: Application to Landsat Series Data | |
Wang, Mengmeng1; Zhang, Zhengjia1; Hu, Tian2,3,4; Liu, Xiuguo1 | |
2019-01-16 | |
发表期刊 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES |
ISSN | 2169-897X |
EISSN | 2169-8996 |
出版年 | 2019 |
卷号 | 124期号:1页码:299-316 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China; Australia |
英文摘要 | The single-channel (SC) algorithm has been widely used to retrieve land surface temperature from Landsat series data for its simplicity and requirement of only one thermal infrared channel. The main error sources of the existing SC algorithms are the linearization of the Planck's function and atmospheric correction. This paper proposed a practical SC (PSC) algorithm to retrieve land surface temperature from Landsat series data aiming at avoiding the aforementioned error sources. The sensitivity of the PSC algorithm to the input parameters was analyzed. The performance of the proposed PSC algorithm was compared with the most commonly used SC algorithm (the generalized SC, GSC) using a simulation data set and satellite measurements. Results showed that the PSC algorithm was less sensitive to uncertainties in the input parameters than the GSC algorithm. When validated with the simulation data set, the root-mean-square error (RMSE) of the PSC algorithm was 1.23K, with an improvement by 0.57K compared with the GSC algorithm. For the validation with 71 clear-sky Landsat 8 images, the RMSE of the PSC algorithm was 1.77K when using the measurements from U.S. surface radiation budget network as real values. Compared with the GSC algorithm, the RMSE improvement for the PSC algorithm was 0.47K. We conclude that the PSC algorithm is more accurate than the GSC algorithm and the sensitivity to input parameters in the PSC algorithm is weaker than in the GSC algorithm. |
英文关键词 | land surface temperature Landsat series data single-channel algorithm Planck' s function atmospheric correction |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000456689100019 |
WOS关键词 | SPLIT-WINDOW ALGORITHM ; WATER-VAPOR RETRIEVAL ; EQUATION ; NETWORK ; SEA |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/33918 |
专题 | 气候变化 |
作者单位 | 1.China Univ Geosci Wuhan, Fac Informat Engn, Wuhan, Hubei, Peoples R China; 2.Griffith Univ, Environm Futures Res Inst, Sch Environm & Sci, Nathan, Qld, Australia; 3.Australia Natl Univ, Fenner Sch Environm & Soc, Canberra, ACT, Australia; 4.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Wang, Mengmeng,Zhang, Zhengjia,Hu, Tian,et al. A Practical Single-Channel Algorithm for Land Surface Temperature Retrieval: Application to Landsat Series Data[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2019,124(1):299-316. |
APA | Wang, Mengmeng,Zhang, Zhengjia,Hu, Tian,&Liu, Xiuguo.(2019).A Practical Single-Channel Algorithm for Land Surface Temperature Retrieval: Application to Landsat Series Data.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,124(1),299-316. |
MLA | Wang, Mengmeng,et al."A Practical Single-Channel Algorithm for Land Surface Temperature Retrieval: Application to Landsat Series Data".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 124.1(2019):299-316. |
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