Conversion of satellite passive microwave signals to land surface "skin" temperature for extremely dry deserts
文献类型：期刊论文
| 作者 | Song, Peilin3,4; Zhao, Tianjie3; Zhang, Yongqiang2; He, Qingying1,4 |
| 刊名 | REMOTE SENSING OF ENVIRONMENT
 |
| 出版日期 | 2023-12-15 |
| 卷号 | 299页码:19 |
| ISSN号 | 0034-4257 |
| 关键词 | Passive microwave (PMW) Land surface temperature (LST) Desert area Thermal infrared (TIR) Resampling depth |
| DOI | 10.1016/j.rse.2023.113857 |
| 通讯作者 | Song, Peilin(foreverspl@xjtu.edu.cn) ; Zhao, Tianjie(zhaotj@aircas.ac.cn) |
| 英文摘要 | Satellite passive microwave (PMW) observations are important data sources for obtaining land surface temperature (LST) especially for cloudy conditions. Considering the generally poorer spatial representativeness of PMW observations, fusion of PMW-based and thermal infrared-(TIR-) based observations have been considered as an important approach to generate all-weather LST with appropriate resolution. However, the existing penetration difference between PMW-based and TIR-based observations has been an obstacle against this objective. This is especially the case for desert regions, where the penetration depth of PMW observations is larger than under other conditions and the relationship between TIR-based and PMW-based signals are thus more complicated. In this regard, this study develops an easy and high-efficiency model suitable for transforming PMW-based subsurface LST to TIR-like skin surface temperature in four regions across the world characterized by typical arid climate. The developed model employs microwave-derived surface soil moisture (SSM) and vegetation transmissivity (VT) as major inputs to quantify that "resampling depth difference" between TIR-based and PMW-based observations. Results show that the model can significantly reduce that difference (RMSE) from >10 K to around 2-5 K in the typical desert regions. The developed model is beneficial to obtaining high-resolution all-weather LST for the vast desert regions across the world in subsequent studies. |
| WOS关键词 | SOIL-MOISTURE RETRIEVAL ; VEGETATION OPTICAL DEPTH ; AMSR-E ; BRIGHTNESS TEMPERATURE ; EMISSIVITY ; ALGORITHM ; FREQUENCY ; FRACTION ; CANOPY ; SPACE |
| 资助项目 | National Natural Science Foundation of China[42001304] ; National Natural Science Foundation of China[42371330] ; National Natural Science Foundation of China[42090014] ; Open Fund of State Key Laboratory of Remote Sensing Science[OFSLRSS202117] |
| WOS研究方向 | Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| 出版者 | ELSEVIER SCIENCE INC |
| WOS记录号 | WOS:001106102700001 |
| 资助机构 | National Natural Science Foundation of China ; Open Fund of State Key Laboratory of Remote Sensing Science |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/200140]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Song, Peilin; Zhao, Tianjie |
| 作者单位 | 1.China Univ Geosci, Sch Ocean Sci, Beijing 100083, Peoples R China 2.Chinese Acad Sci, Key Lab Water Cycle & Related Land Surface Proc, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 3.Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China 4.Xi An Jiao Tong Univ, Key Lab Phys Elect & Devices, Minist Educ, Fac Elect & Informat Engn, Xian 710049, Shaanxi, Peoples R China |
| 推荐引用方式 GB/T 7714 | Song, Peilin,Zhao, Tianjie,Zhang, Yongqiang,et al. Conversion of satellite passive microwave signals to land surface "skin" temperature for extremely dry deserts[J]. REMOTE SENSING OF ENVIRONMENT,2023,299:19. |
| APA | Song, Peilin,Zhao, Tianjie,Zhang, Yongqiang,&He, Qingying.(2023).Conversion of satellite passive microwave signals to land surface "skin" temperature for extremely dry deserts.REMOTE SENSING OF ENVIRONMENT,299,19. |
| MLA | Song, Peilin,et al."Conversion of satellite passive microwave signals to land surface "skin" temperature for extremely dry deserts".REMOTE SENSING OF ENVIRONMENT 299(2023):19. |
入库方式： OAI收割
来源：地理科学与资源研究所
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