Comparing different space-borne sensors and methods for the retrieval of land surface temperature
文献类型：期刊论文
| 作者 | Rehman, Arif U. R.; Ullah, Sami; Liu, Qijing; Khan, Muhammad Sadiq |
| 刊名 | EARTH SCIENCE INFORMATICS
 |
| 出版日期 | 2021-06 |
| 卷号 | 14期号:2页码:985-995 |
| 关键词 | Landsat-8 TIRS MODIS Radiative transfer equation Single Channel method Split window algorithm |
| ISSN号 | 1865-0473 |
| 英文摘要 | The importance of land surface temperature (LST) is increasingly recognized, and various methodologies have been proposed for the retrieval of LST using space-borne thermal infrared data. However, the selection of LST retrieval from Thermal Infrared Sensor (TIRS) of Landsat-8 based on different methods and the readily available MODIS LST products is still a challenging topic for local and global environmental studies. In this study, the potential of three different methods for retrieving LST using Landsat-8 TIRS data, including Radiative Transfer Equation (RTE), Single Channel (SC), and Split Window (SW) method in comparison with MODIS MOD11A1 LST product was evaluated. For accuracy assessment, 0 cm ground surface temperature (LSTGST) data was used. Our results almost showed same accuracy for RTEB10 with RMSE = 0.35 degrees C, followed by MODIS with RMSE = 0.36 degrees C, and SCB10 with RMSE = 0.38 degrees C. Secondly, SCmean (Mean of B-10 and B-11), and RTEmean (Mean of B-10 and B-11) generate nearly the same accuracy with RMSE = 0.53 degrees C, and RMSE = 0.54 degrees C, respectively. The other methods viz., SCB11, RTEB11, and SW method slightly showed lower accuracy with RMSE = 0.87 degrees C, RMSE = 0.88 degrees C, and RMSE = 0.91 degrees C, respectively. We found all the methods highly accurate and can be used successfully by climatologists, environmentalists, hydrologists, and urban planners concerning planning, and monitoring of the ever-increasing LST at local and global scale studies. |
| WOS研究方向 | Computer Science, Interdisciplinary Applications ; Geosciences, Multidisciplinary |
| 源URL | [http://ir.rcees.ac.cn/handle/311016/45438]  |
| 专题 | 生态环境研究中心_城市与区域生态国家重点实验室 |
| 作者单位 | 1.Beijing Forestry Univ, Coll Forestry, Beijing 100083, Peoples R China 2.Shaheed Benazir Bhutto Univ Sheringal, Dept Forestry, Dir 18050, Pakistan 3.Univ Peshawar, Natl Ctr GIS & Space Applicat, GIS & Space Applicat Geosci G SAG Lab NCE Geol, Peshawar, Pakistan 4.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China |
| 推荐引用方式 GB/T 7714 | Rehman, Arif U. R.,Ullah, Sami,Liu, Qijing,et al. Comparing different space-borne sensors and methods for the retrieval of land surface temperature[J]. EARTH SCIENCE INFORMATICS,2021,14(2):985-995. |
| APA | Rehman, Arif U. R.,Ullah, Sami,Liu, Qijing,&Khan, Muhammad Sadiq.(2021).Comparing different space-borne sensors and methods for the retrieval of land surface temperature.EARTH SCIENCE INFORMATICS,14(2),985-995. |
| MLA | Rehman, Arif U. R.,et al."Comparing different space-borne sensors and methods for the retrieval of land surface temperature".EARTH SCIENCE INFORMATICS 14.2(2021):985-995. |
入库方式： OAI收割
来源：生态环境研究中心
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