An enhanced single-channel algorithm for retrieving land surface temperature from Landsat series data
文献类型：期刊论文
| 作者 | Wang, Mengmeng1; Zhang, Zhaoming1; He, Guojin1; Wang, Guizhou1; Long, Tengfei1; Peng, Yan1 |
| 刊名 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
 |
| 出版日期 | 2016 |
| 卷号 | 121期号:19页码:11712-11722 |
| 关键词 | LAND-SURFACE TEMPERATURE REMOTE-SENSING SYSTEMS BIDIRECTIONAL REFLECTANCE LOSSLESS COMPRESSION TOOL EMISSIVITY ALGORITHM RADIANCE |
| 通讯作者 | He, GJ (reprint author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing, Peoples R China. |
| 英文摘要 | Land surface temperature (LST) is a critical parameter in the physics of Earth surface processes and is required for many applications related to ecology and environment. Landsat series satellites have provided more than 30years of thermal information at medium spatial resolution. This paper proposes an enhanced single-channel algorithm (SCen) for retrieving LST from Landsat series data (Landsat 4 to Landsat 8). The SCen algorithm includes three atmospheric functions (AFs), and the latitude and acquisition month of Landsat image were added to the AF models to improve LST retrieval. Performance of the SCen algorithm was assessed with both simulated and in situ data, and accuracy of three single-channel algorithms (including the monowindow algorithm developed by Qin et al., SCQin, and the generalized single-channel algorithm developed by Jimenez-Munoz and Sobrino, SCJ&S) were compared. The accuracy assessments with simulated data had root-mean-square deviations (RMSDs) for the SCen, SCJ&S, and SCQin algorithms of 1.363K, 1.858K, and 2.509K, respectively. Validation with in situ data showed RMSDs for the SCen and SCJ&S algorithms of 1.04K and 1.49K, respectively. It was concluded that the SCen algorithm is very operational, has good precision, and can be used to develop an LST product for Landsat series data. |
| 学科主题 | Meteorology & Atmospheric Sciences |
| 类目[WOS] | Meteorology & Atmospheric Sciences |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000386976100006 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39195]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Mengmeng,Zhang, Zhaoming,He, Guojin,et al. An enhanced single-channel algorithm for retrieving land surface temperature from Landsat series data[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2016,121(19):11712-11722. |
| APA | Wang, Mengmeng,Zhang, Zhaoming,He, Guojin,Wang, Guizhou,Long, Tengfei,&Peng, Yan.(2016).An enhanced single-channel algorithm for retrieving land surface temperature from Landsat series data.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,121(19),11712-11722. |
| MLA | Wang, Mengmeng,et al."An enhanced single-channel algorithm for retrieving land surface temperature from Landsat series data".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 121.19(2016):11712-11722. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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