A Solar Radiation-Based Method for Generating Spatially Seamless and Temporally Consistent Land Surface Temperature
文献类型：期刊论文
| 作者 | Li, Manjia4,5,6; Zhao, Wei3,6 ; Yang, Yujia4,6; Wu, Tianjun2; Luo, Jiancheng1
|
| 刊名 | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
 |
| 出版日期 | 2024 |
| 卷号 | 62页码:15 |
| 关键词 | Land surface temperature Surface topography Land surface Clouds Surface treatment MODIS Surface reconstruction All-weather land surface temperature (LST) Moderate Resolution Imaging Spectroradiometer (MODIS) random forest time consistent |
| ISSN号 | 0196-2892 |
| DOI | 10.1109/TGRS.2024.3392845 |
| 通讯作者 | Zhao, Wei(zhaow@imde.ac.cn) |
| 英文摘要 | Because of the primary role of land surface temperature (LST) in the physical processes of surface energy balance (SEB) at local through global scales, dynamic, continuous, and seamless LST monitoring is constantly in urgent need. Thermal infrared (TIR) remote sensing serves as the most commonly used sources for LST retrieval owing to its relatively fine spatial-temporal resolution and presentable accuracy. However, limited by the inability to penetrate clouds, original TIR LST data suffers significantly from data missing problems. Furthermore, the view time of pixels along the scan line differs significantly for polar orbiting satellites, exerting appreciable influence on the subsequent data applications. To cope with the above setbacks simultaneously, we proposed a practical reconstruction framework based on the inner physical connection between LST and solar radiation, which was accurately expressed by random forest regression (RFR) model, with the consideration of various auxiliary environmental factors (i.e., elevation, slope, longitude, latitude, and surface reflectance). Taking the Tibetan Plateau (TP) as the study area, the proposed method was applied to generate spatially seamless and time-consistent LST products with the use of the Moderate Resolution Imaging Spectroradiometer (MODIS) Terra daytime LST product. From visual assessment, the reconstructed product exhibits ideal spatial-temporal continuity within the TP. Through the validation with in situ observations from five different stations, the results show a higher consistency with ground measurements than the LST product from the Global Land Data Assimilation System (GLDAS) and other all-weather LST product, with an average improvement on RMSE of 1.06 and 1.59 K under clear conditions, and 1.86 and 2.72 K under cloudy conditions. The validation demonstrates that the proposed method is well applicable for all-weather LST reconstruction over a large-scale area with significant surface heterogeneity, which also shows good ability to remove the temporal inconsistency induced by satellite observations. Additionally, it can be reliably generalized to different areas with similar data requirements for its sufficient effectiveness and flexibility. |
| WOS关键词 | QINGHAI-TIBET PLATEAU ; BRIGHTNESS TEMPERATURE ; DIURNAL CYCLES ; SOIL-MOISTURE ; RANDOM FOREST ; MODIS LST ; PRODUCT ; RECONSTRUCTION ; RESOLUTION |
| 资助项目 | National Natural Science Foundation of China |
| WOS研究方向 | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001214578200012 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Natural Science Foundation of China |
| 源URL | [http://ir.imde.ac.cn/handle/131551/58052]  |
| 专题 | 成都山地灾害与环境研究所_数字山地与遥感应用中心 |
| 通讯作者 | Zhao, Wei |
| 作者单位 | 1.Chinese Acad Sci, Aerosp Informat Res Inst, Beijing 100101, Peoples R China 2.Changan Univ, Sch Sci, Xian 710064, Peoples R China 3.Henan Univ, Coll Geog & Environm Sci, Kaifeng 475001, Peoples R China 4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 5.Chinese Acad Sci, Aerosp Informat Res Inst, Beijing 100101, Peoples R China 6.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610299, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Manjia,Zhao, Wei,Yang, Yujia,et al. A Solar Radiation-Based Method for Generating Spatially Seamless and Temporally Consistent Land Surface Temperature[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2024,62:15. |
| APA | Li, Manjia,Zhao, Wei,Yang, Yujia,Wu, Tianjun,&Luo, Jiancheng.(2024).A Solar Radiation-Based Method for Generating Spatially Seamless and Temporally Consistent Land Surface Temperature.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,62,15. |
| MLA | Li, Manjia,et al."A Solar Radiation-Based Method for Generating Spatially Seamless and Temporally Consistent Land Surface Temperature".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 62(2024):15. |
入库方式： OAI收割
来源：成都山地灾害与环境研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。