Towards an operational method for land surface temperature retrieval from Landsat 8 data
文献类型：期刊论文
| 作者 | Zhang, Zhaoming1; He, Guojin1; Wang, Mengmeng1; Long, Tengfei1; Wang, Guizhou1; Zhang, Xiaomei1; Jiao, Weili1 |
| 刊名 | Remote Sensing Letters
 |
| 出版日期 | 2016 |
| 卷号 | 7期号:3页码:279-288 |
| 关键词 | SATELLITE RADAR INTERFEROMETRY ICE-SHEET MOTION ELEVATION CHANGES MASS-BALANCE TOPOGRAPHY FLOW ANTARCTICA GREENLAND TIBET |
| 通讯作者 | He, Guojin (hegj@radi.ac.cn) |
| 英文摘要 | Land surface temperature (LST) is a key parameter in the physics of land surfaces through the processes of energy and water exchange with the atmosphere. For Landsat data with only one thermal infrared channel (Landsat 4 to Landsat 7), LST cannot actually be retrieved, and external data sources, such as meteorological observations or Moderate Resolution Imaging Spectroradiometer (MODIS) data, are needed to obtain the water vapour content parameter (an important input parameter for the LST retrieval algorithm); this results in limitations on deriving LST. However, the band designations of the Landsat 8 sensors enable the derivation of LST from the Landsat 8 data. This article demonstrates an LST retrieval methodology that makes use of only Landsat 8 image data. In this methodology, the split-window covariance-variance ratio (SWCVR) technique is introduced to derive water vapour content from Landsat 8. A comparison between the retrieved LST and the in situ LST measurements shows good accuracy, with a root mean squared error (RMSE) of 0.83 K. The fact that the proposed LST estimation method utilizing solely Landsat 8 image data does not rely on any external data is a significant advantage for the development of an operational Landsat 8 LST product generating system. © 2015 Taylor & Francis. |
| 学科主题 | Remote Sensing; Imaging Science & Photographic Technology |
| 类目[WOS] | Remote Sensing ; Imaging Science & Photographic Technology |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:20160401831285 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39345]  |
| 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. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China 2. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China |
| 推荐引用方式 GB/T 7714 | Zhang, Zhaoming,He, Guojin,Wang, Mengmeng,et al. Towards an operational method for land surface temperature retrieval from Landsat 8 data[J]. Remote Sensing Letters,2016,7(3):279-288. |
| APA | Zhang, Zhaoming.,He, Guojin.,Wang, Mengmeng.,Long, Tengfei.,Wang, Guizhou.,...&Jiao, Weili.(2016).Towards an operational method for land surface temperature retrieval from Landsat 8 data.Remote Sensing Letters,7(3),279-288. |
| MLA | Zhang, Zhaoming,et al."Towards an operational method for land surface temperature retrieval from Landsat 8 data".Remote Sensing Letters 7.3(2016):279-288. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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