A universal yet easy-to-use data-driven method for angular normalization of directional land surface temperatures acquired from polar orbiters across global cities
文献类型：期刊论文
| 作者 | Du, Huilin1; Zhan, Wenfeng1,2,3; Liu, Zihan4,5; Wang, Chenguang1; Huang, Fan6 |
| 刊名 | REMOTE SENSING OF ENVIRONMENT
 |
| 出版日期 | 2025-10-01 |
| 卷号 | 328页码:114840 |
| 关键词 | Thermal remote sensing Land surface temperature Urban thermal anisotropy Angular normalization Data-driven approach |
| ISSN号 | 0034-4257 |
| DOI | 10.1016/j.rse.2025.114840 |
| 产权排序 | 5 |
| 文献子类 | Article |
| 英文摘要 | Urban thermal anisotropy poses significant challenges for accurately retrieving land surface temperature (LST) in urban environments using wide-swath polar orbiters. Existing physical and kernel-driven models often require detailed urban structural and property information or rely on simultaneous multi-angle LST observations, limiting their applicability for normalizing directional LSTs across diverse urban settings worldwide. Here we propose a UNIversal, easy-To-usE Data-driven (UNITED) method for angular normalization of directional LSTs across global cities, integrating advanced machine learning techniques with multi-source remote sensing and reanalysis data. We applied this method to normalize directional urban LSTs from all available wide-swath polar orbiters (Aqua MODIS, Terra MODIS, Suomi-NPP VIIRS) on Google Earth Engine, leveraging their full archives of multi-angle observations (2003-2024 for MODIS and 2012-2024 for VIIRS). The method's high accuracy in normalizing these three products was rigorously validated using quasi-simultaneous, near-nadir LSTs from various satellite platforms (e.g., Landsat) across tens of millions of urban pixels worldwide under diverse spatial, temporal, and angular conditions. For example, for Aqua MODIS observations with viewing zenith angle exceeding +55 degrees, angular normalization reduces the root mean square error and bias relative to nadir VIIRS LSTs (used as the reference) from 5.71 degrees C and -4.92 degrees C to 2.43 degrees C and -0.40 degrees C, respectively, underscoring the effectiveness of the UNITED method in harmonizing directional urban LSTs. Our study holds significant implications for advancing urban thermal remote sensing. |
| URL标识 | 查看原文 |
| WOS关键词 | URBAN ; MODEL |
| WOS研究方向 | Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001508425700001 |
| 出版者 | ELSEVIER SCIENCE INC |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/214508]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 通讯作者 | Zhan, Wenfeng |
| 作者单位 | 1.Nanjing Univ, Int Inst Earth Syst Sci, Jiangsu Prov Key Lab Geog Informat Sci & Technol, Nanjing, Peoples R China; 2.Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing, Peoples R China; 3.Nanjing Univ, Frontiers Sci Ctr Crit Earth Mat Cycling, Nanjing, Peoples R China; 4.Anhui Univ, Sch Artificial Intelligence, Hefei, Peoples R China; 5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China; 6.Hohai Univ, Coll Geog & Remote Sensing, Nanjing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Du, Huilin,Zhan, Wenfeng,Liu, Zihan,et al. A universal yet easy-to-use data-driven method for angular normalization of directional land surface temperatures acquired from polar orbiters across global cities[J]. REMOTE SENSING OF ENVIRONMENT,2025,328:114840. |
| APA | Du, Huilin,Zhan, Wenfeng,Liu, Zihan,Wang, Chenguang,&Huang, Fan.(2025).A universal yet easy-to-use data-driven method for angular normalization of directional land surface temperatures acquired from polar orbiters across global cities.REMOTE SENSING OF ENVIRONMENT,328,114840. |
| MLA | Du, Huilin,et al."A universal yet easy-to-use data-driven method for angular normalization of directional land surface temperatures acquired from polar orbiters across global cities".REMOTE SENSING OF ENVIRONMENT 328(2025):114840. |
入库方式： OAI收割
来源：地理科学与资源研究所
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