A Novel Land Surface Temperature Retrieval Algorithm for SDGSAT-1 Images
文献类型:期刊论文
作者 | Li, Na1,2,8; Xu, Jianhui2; Li, Xu2; Qin, Boxiong3,4; Wang, Yunpeng1,8; Fu, Dongjie6,7; Zhong, Kaiwen2; Qin, Zhihao2,5 |
刊名 | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
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出版日期 | 2025 |
卷号 | 63页码:18 |
关键词 | Land surface temperature Spatial resolution Land surface Grasslands Sensors Remote sensing MODIS Atmospheric measurements Landsat Vegetation mapping Land surface temperature (LST) retrieval algorithms Sustainable Development Goals Science Satellite 1 (SDGSAT-1) validation |
ISSN号 | 0196-2892 |
DOI | 10.1109/TGRS.2024.3514359 |
英文摘要 | Land surface temperature (LST) is a crucial parameter influencing Earth-atmosphere interactions and energy balance processes. The Sustainable Development Goals Science Satellite 1 (SDGSAT-1) was recently launched to support the realization of the United Nations Sustainable Development Goals (SDGs), which provides worldwide three-spectrum wide-swath, high-resolution, and high-sensitivity thermal infrared (TIR) images. The objective of this study is to develop a modified three-channel split-window algorithm incorporating atmospheric water vapor content (W-TCSW) for LST retrieval from SDGSAT-1 images. This algorithm was developed from the existing split-window (SW) form. The parameters of the algorithm were determined based on the MODerate resolution atmospheric TRANsmission (MODTRAN) simulation results of 946 Thermodynamic Initial-Guess Retrieval (TIGR) atmospheric profiles. The W-TCSW algorithm was comprehensively compared with the SW and three-channel SW (TCSW) algorithms. The retrieval results of the three algorithms were validated with simulated datasets and in situ measurements from the Heihe Watershed Allied Telemetry Experimental Research (HiWATER) sites in China and the Surface Radiation Budget Network (SURFRAD) sites in USA. The SDGSAT-1 data retrieved by the W-TCSW algorithm was also intercompared with Landsat and ECOSTRESS LST products. The W-TCSW algorithm demonstrated the highest accuracy among the three retrieval algorithms (SW, TCSW, and W-TCSW). The influences of atmospheric water vapor content (AWVC) and land surface emissivity (LSE) as well as land use and land cover (LULC) on retrieval algorithms were discussed in a long-term time series. This study introduces a novel LST retrieval algorithm considering AWVC for SDGSAT-1 images and elucidates comprehensive validation and comparative assessment, expanding the application of high-spatial resolution TIR remote sensing data. |
WOS研究方向 | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
语种 | 英语 |
WOS记录号 | WOS:001381458400029 |
源URL | [http://ir.gig.ac.cn/handle/344008/81920] ![]() |
专题 | 有机地球化学国家重点实验室 |
通讯作者 | Xu, Jianhui; Wang, Yunpeng |
作者单位 | 1.Chinese Acad Sci, Guangzhou Inst Geochem, State Key Lab Organ Geochem, Guangzhou 510640, Peoples R China 2.Guangdong Acad Sci, Guangdong Engn Technol Res Ctr Remote Sensing Big, Guangzhou Inst Geog, Guangdong Open Lab Geospatial Informat Technol & A, Guangzhou 510070, Peoples R China 3.Chinese Acad Sci, Guangdong Prov Key Lab Appl Bot, South China Bot Garden, Guangzhou 510650, Peoples R China 4.Chinese Acad Sci, Key Lab Vegetat Restorat & Management Degraded Eco, South China Bot Garden, Guangzhou 510650, Peoples R China 5.Chinese Acad Agr Sci, Inst Agroresources & Reg Planning, Lab Agr Ecol, Beijing 100081, Peoples R China 6.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 7.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 8.Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing 100049, Peoples R China |
推荐引用方式 GB/T 7714 | Li, Na,Xu, Jianhui,Li, Xu,et al. A Novel Land Surface Temperature Retrieval Algorithm for SDGSAT-1 Images[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2025,63:18. |
APA | Li, Na.,Xu, Jianhui.,Li, Xu.,Qin, Boxiong.,Wang, Yunpeng.,...&Qin, Zhihao.(2025).A Novel Land Surface Temperature Retrieval Algorithm for SDGSAT-1 Images.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,63,18. |
MLA | Li, Na,et al."A Novel Land Surface Temperature Retrieval Algorithm for SDGSAT-1 Images".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 63(2025):18. |
入库方式: OAI收割
来源:广州地球化学研究所
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