Land Surface Temperature Retrieval From Landsat 8 Thermal Infrared Data Over Urban Areas Considering Geometry Effect: Method and Application
文献类型：期刊论文
| 作者 | Ru, Chen2; Duan, Si-Bo3; Jiang, Xiao-Guang2,4; Li, Zhao-Liang1,3; Jiang, Yazhen1; Ren, Huazhong5; Leng, Pei3; Gao, Maofang3 |
| 刊名 | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
 |
| 出版日期 | 2021-06-22 |
| 页码 | 16 |
| 关键词 | Land surface temperature Remote sensing Urban areas Earth Geometry Artificial satellites Buildings Geometry effect land surface temperature (LST) Landsat 8 local climate zone (LCZ) urban heat island (UHI) intensity (UHII) |
| ISSN号 | 0196-2892 |
| DOI | 10.1109/TGRS.2021.3088482 |
| 通讯作者 | Duan, Si-Bo(duansibo@caas.cn) ; Jiang, Xiao-Guang(xgjiang@ucas.ac.cn) |
| 英文摘要 | Accurate retrieval of land surface temperature (LST) over urban areas is of great significance for urban thermal environment monitoring. In previous studies, most of the urban LST retrieval methods were developed based on the assumption of a flat surface without considering the influence of urban 3-D geometry structure, which has a significant impact on the retrieval accuracy of LST over urban areas. In this study, a radiative transfer equation (RTE)-based single-channel method was developed to retrieve LST with urban geometry effect correction from the Landsat 8 thermal infrared (TIR) data in band 10. The increase in adjacent radiance from the surrounding pixels and the decrease in atmospheric downwelling radiance caused by urban geometry structure were taken into account in this method. Because it is difficult to directly validate the retrieval accuracy of LST over urban areas using in situ LST measurements, the performance of the RTE-based LST retrieval method was evaluated via comparing brightness temperature (BT) at the top of the atmosphere (TOA) simulated by the discrete anisotropic radiative transfer (DART) model and the urban RTE over three subregions. There is a good agreement between BT at the TOA simulated by the DART model and the urban RTE, with a root-mean-squared error (RMSE) of less than 0.25 K. The variations in LST retrieved with urban geometry effect correction over different local climate zones (LCZs) were analyzed. In general, built-up LCZs have relatively higher LST than land cover LCZs. The differences between LST retrieved without/with urban geometry effect correction over different LCZs are greater than 0.2 K. The largest average LST difference over built-up LCZs is approximately 0.9 K, whereas that over land cover LCZs is approximately 0.65 K. LST retrieved without/with urban geometry effect correction was used to calculate urban heat island intensity (UHII) in terms of the LCZ-based method. The results indicate that UHII calculated from LST with urban geometry effect correction is lower than that calculated from LST without urban geometry effect correction, with an average difference of approximately 0.5 K. |
| WOS关键词 | RADIANCE-BASED VALIDATION ; PHYSICS-BASED ALGORITHM ; LOCAL CLIMATE ZONES ; SKY-VIEW FACTOR ; HEAT-ISLAND ; EMISSIVITY SEPARATION ; CANOPY ; MODEL ; ENERGY ; WATER |
| 资助项目 | National Natural Science Foundation of China[41921001] ; National Natural Science Foundation of China[41971319] ; National Natural Science Foundation of China[41871275] ; National Key Research and Development Program of China[2018YFB0504800] |
| WOS研究方向 | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000732767600001 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Natural Science Foundation of China ; National Key Research and Development Program of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/168705]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Duan, Si-Bo; Jiang, Xiao-Guang |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 3.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Minist Agr, Key Lab Agr Remote Sensing, Beijing 100081, Peoples R China 4.Chinese Acad Sci, Aerosp Informat Res Inst, Key Lab Quantitat Remote Sensing Informat Technol, Beijing 100094, Peoples R China 5.Peking Univ, Sch Earth & Space Sci, Inst Remote Sensing & Geog Informat Syst, Beijing 100871, Peoples R China |
| 推荐引用方式 GB/T 7714 | Ru, Chen,Duan, Si-Bo,Jiang, Xiao-Guang,et al. Land Surface Temperature Retrieval From Landsat 8 Thermal Infrared Data Over Urban Areas Considering Geometry Effect: Method and Application[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2021:16. |
| APA | Ru, Chen.,Duan, Si-Bo.,Jiang, Xiao-Guang.,Li, Zhao-Liang.,Jiang, Yazhen.,...&Gao, Maofang.(2021).Land Surface Temperature Retrieval From Landsat 8 Thermal Infrared Data Over Urban Areas Considering Geometry Effect: Method and Application.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,16. |
| MLA | Ru, Chen,et al."Land Surface Temperature Retrieval From Landsat 8 Thermal Infrared Data Over Urban Areas Considering Geometry Effect: Method and Application".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2021):16. |
入库方式： OAI收割
来源：地理科学与资源研究所
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