An atmospheric influence correction method for longwave radiation-based in-situ land surface temperature
文献类型：期刊论文
| 作者 | Ma, Jin1; Zhou, Ji1,2; Gottsche, Frank-Michael6; Wang, Ziwei1; Wu, Hua5; Tang, Wenbin1; Li, Mingsong4; Liu, Shaomin3 |
| 刊名 | REMOTE SENSING OF ENVIRONMENT
 |
| 出版日期 | 2023-08-01 |
| 卷号 | 293页码:17 |
| ISSN号 | 0034-4257 |
| 关键词 | Near-surface atmosphere Land surface temperature Atmospheric radiative transfer simulation Vertical profiles Ground station |
| DOI | 10.1016/j.rse.2023.113611 |
| 通讯作者 | Zhou, Ji(jzhou233@uestc.edu.cn) |
| 英文摘要 | Obtaining in-situ land surface temperature (LST) with thermal infrared or longwave radiometers for validating satellite LST, namely the radiation-based method, is one of the most widely used approaches. Due to the rela-tively short path lengths, the near-surface atmosphere contribution is generally ignored in radiation-based in-situ LST measuring for narrowband radiometers. However, it is necessary to investigate the influence for broadband radiometers. In this study, nine stations in China are selected to quantify the atmospheric influence. Furthermore, a correction method combining the Radiative Transfer Equation and Multi-Layer Meteorological Parameters (RTE-MLMP) is proposed to correct the influence on radiation-based in-situ LST. Results show that the influence follows diurnal patterns and seasonal differences. Depending on the station, ignoring the near-surface atmo-sphere influence can cause in-situ LST to be overestimated (underestimated) by up to 3.11 (1.21) K at nighttime (daytime). For the RTE-MLMP method, the key is to estimate the near-surface atmospheric transmittance (TNS) and radiance (LNS) and to establish equations for each station. Results show that the mean and standard deviation (STD) of the error are both lower than 0.001 for the estimated TNS, and lower than 0.1 W/m2 and 0.6 W/m2 for the estimated LNS, respectively. Then, the in-situ LST is corrected with the estimated TNS and LNS. The resulting LST mean and STD of its error are both lower than 0.1 K, which is significantly lower than ignoring the near -surface atmospheric influence. Our further analysis suggests that single-layer meteorological parameters can only be used when the installation height difference between the meteorological sensor and the long-wave radiometer is within 3 m. Since the correction method relies on readily available meteorological data, further research should focus on the generalizable coefficients or strategy for atmospheric correction to enhance the accuracy of radiation-based in-situ measured LST. |
| WOS关键词 | PRODUCTS |
| 资助项目 | National Natural Science Foundation of China[42201417] ; National Natural Science Foundation of China[42271387] ; China Postdoctoral Science Foundation[2022M710604] ; Sichuan Province Innovative Talent Funding Project for Postdoctoral Fellows[BX202219] |
| WOS研究方向 | Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| 出版者 | ELSEVIER SCIENCE INC |
| WOS记录号 | WOS:001010789500001 |
| 资助机构 | National Natural Science Foundation of China ; China Postdoctoral Science Foundation ; Sichuan Province Innovative Talent Funding Project for Postdoctoral Fellows |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/194775]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zhou, Ji |
| 作者单位 | 1.Univ Elect Sci & Technol China, Sch Resources & Environm, Chengdu 611731, Peoples R China 2.2006, Xiyuan Ave,West Hitech Zone, Chengdu 611731, Sichuan, Peoples R China 3.Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China 4.Univ Elect Sci & Technol China, Yangtze Delta Reg Inst Huzhou, Huzhou 313001, Peoples R China 5.Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 6.Karlsruhe Inst Technol, Inst Meteorol & Climate Res IMK Atmospher Trace Ga, D-76344 Eggenstein Leopoldshafen, Germany |
| 推荐引用方式 GB/T 7714 | Ma, Jin,Zhou, Ji,Gottsche, Frank-Michael,et al. An atmospheric influence correction method for longwave radiation-based in-situ land surface temperature[J]. REMOTE SENSING OF ENVIRONMENT,2023,293:17. |
| APA | Ma, Jin.,Zhou, Ji.,Gottsche, Frank-Michael.,Wang, Ziwei.,Wu, Hua.,...&Liu, Shaomin.(2023).An atmospheric influence correction method for longwave radiation-based in-situ land surface temperature.REMOTE SENSING OF ENVIRONMENT,293,17. |
| MLA | Ma, Jin,et al."An atmospheric influence correction method for longwave radiation-based in-situ land surface temperature".REMOTE SENSING OF ENVIRONMENT 293(2023):17. |
入库方式： OAI收割
来源：地理科学与资源研究所
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