A generalized method for retrieving global daily mean land surface temperature from polar-orbiting thermal infrared sensor instantaneous observations
文献类型：期刊论文
| 作者 | Li, Jia-Hao; Li, Zhao-Liang; Liu, Xiangyang; Duan, Si-Bo; Si, Menglin1; Shang, Guofei3; Zhang, Xia3 |
| 刊名 | INTERNATIONAL JOURNAL OF REMOTE SENSING
 |
| 出版日期 | 2023-06-28 |
| 关键词 | daily mean land surface temperature polar-orbiting thermal infrared sensor linear regression |
| ISSN号 | 0143-1161 |
| DOI | 10.1080/01431161.2023.2225229 |
| 产权排序 | 1 |
| 文献子类 | Article ; Early Access |
| 英文摘要 | Daily mean land surface temperature (LST) is a crucial indicator for investigating global long-term climate change. The polar-orbiting thermal infrared sensor (POTIRS) can provide limited instantaneous LSTs of a single day on a global scale. Several studies have developed algorithms to derive daily mean land surface temperature (DMLST) from limited instantaneous daily LST data, but these methods are restricted to using data from a single POTIRS after 2000. This study presents a generalized method for estimating global DMLST utilizing one daytime and one night-time observation from any POTIRS since 1981. The proposed method employs a simple linear regression of two instantaneous LST measurements from different observation times (once during the day and once at night) of POTIRSs based on in situ LST measurements from 227 flux stations operating in diverse climate regions globally. The results demonstrate that this simple linear regression model provides highly accurate estimates of DMLST under all-weather conditions, with a root mean square error (RMSE) value lower than 1.7 K. Additionally, the proposed method was employed to estimate DMLST from instantaneous LST products obtained from various sensors, including Moderate Resolution Imaging Spectroradiometer aboard the Terra satellite, Advanced Very High Resolution Radiometer aboard the polar-orbiting National Oceanic and Atmospheric Administration satellite, and Meteorological Operational satellite. Validation results indicate that the DMLSTs estimated from these POTIRS products are in close agreement with the daily mean in situ LST, with RMSE values varying from 2.2 to 2.4 K. We expect that this generalized method will be useful for generating long-term and high-quality DMLST datasets. |
| WOS关键词 | URBAN HEAT ISLANDS ; IN-SITU ; BRIGHTNESS TEMPERATURE ; SATELLITE DATA ; EMISSIVITY ; VALIDATION ; PRODUCTS ; CYCLES ; ASTER |
| WOS研究方向 | Remote Sensing ; Imaging Science & Photographic Technology |
| WOS记录号 | WOS:001017686500001 |
| 出版者 | TAYLOR & FRANCIS LTD |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/194370]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China 3.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, State Key Lab Efficient Utilizat Arid & Semiarid A, Beijing 100081, Peoples R China 4.Hebei GEO Univ, Hebei Int Joint Res Ctr Remote Sensing Agr Drought, Shijiazhuang, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Jia-Hao,Li, Zhao-Liang,Liu, Xiangyang,et al. A generalized method for retrieving global daily mean land surface temperature from polar-orbiting thermal infrared sensor instantaneous observations[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2023. |
| APA | Li, Jia-Hao.,Li, Zhao-Liang.,Liu, Xiangyang.,Duan, Si-Bo.,Si, Menglin.,...&Zhang, Xia.(2023).A generalized method for retrieving global daily mean land surface temperature from polar-orbiting thermal infrared sensor instantaneous observations.INTERNATIONAL JOURNAL OF REMOTE SENSING. |
| MLA | Li, Jia-Hao,et al."A generalized method for retrieving global daily mean land surface temperature from polar-orbiting thermal infrared sensor instantaneous observations".INTERNATIONAL JOURNAL OF REMOTE SENSING (2023). |
入库方式： OAI收割
来源：地理科学与资源研究所
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