Land Surface Temperature Retrieval from Passive Microwave Satellite Observations: State-of-the-Art and Future Directions
文献类型：期刊论文
| 作者 | Duan, Si-Bo2; Han, Xiao-Jing2; Huang, Cheng2; Li, Zhao-Liang1,2; Wu, Hua1; Qian, Yonggang3; Gao, Maofang2; Leng, Pei2 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2020-08-01 |
| 卷号 | 12期号:16页码:27 |
| 关键词 | passive microwave land surface temperature retrieval validation |
| DOI | 10.3390/rs12162573 |
| 通讯作者 | Li, Zhao-Liang(lizhaoliang@caas.cn) |
| 英文摘要 | Land surface temperature (LST) is an important variable in the physics of land-surface processes controlling the heat and water fluxes over the interface between the Earth's surface and the atmosphere. Space-borne remote sensing provides the only feasible way for acquiring high-precision LST at temporal and spatial domain over the entire globe. Passive microwave (PMW) satellite observations have the capability to penetrate through clouds and can provide data under both clear and cloud conditions. Nonetheless, compared with thermal infrared data, PMW data suffer from lower spatial resolution and LST retrieval accuracy. Various methods for estimating LST from PMW satellite observations were proposed in the past few decades. This paper provides an extensive overview of these methods. We first present the theoretical basis for retrieving LST from PMW observations and then review the existing LST retrieval methods. These methods are mainly categorized into four types, i.e., empirical methods, semi-empirical methods, physically-based methods, and neural network methods. Advantages, limitations, and assumptions associated with each method are discussed. Prospects for future development to improve the performance of LST retrieval methods from PMW satellite observations are also recommended. |
| WOS关键词 | PHYSICALLY-BASED ALGORITHM ; PRECIPITABLE WATER-VAPOR ; MEASURING MISSION TRMM ; AMSR-E ; SOIL-MOISTURE ; TIBETAN PLATEAU ; BRIGHTNESS TEMPERATURES ; CLOUDY CONDITIONS ; DEPTH RETRIEVAL ; AIR-TEMPERATURE |
| 资助项目 | National Natural Science Foundation of China[41921001] ; National Natural Science Foundation of China[41871275] |
| WOS研究方向 | Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:000565436300001 |
| 出版者 | MDPI |
| 资助机构 | National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/157898]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Li, Zhao-Liang |
| 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.Chinese Acad Agr Sci, Minist Agr, Key Lab Agr Remote Sensing, Inst Agr Resources & Reg Planning, Beijing 100081, Peoples R China 3.Chinese Acad Sci, Acad Optoelect, Key Lab Quantitat Remote Sensing Informat Technol, Beijing 100094, Peoples R China |
| 推荐引用方式 GB/T 7714 | Duan, Si-Bo,Han, Xiao-Jing,Huang, Cheng,et al. Land Surface Temperature Retrieval from Passive Microwave Satellite Observations: State-of-the-Art and Future Directions[J]. REMOTE SENSING,2020,12(16):27. |
| APA | Duan, Si-Bo.,Han, Xiao-Jing.,Huang, Cheng.,Li, Zhao-Liang.,Wu, Hua.,...&Leng, Pei.(2020).Land Surface Temperature Retrieval from Passive Microwave Satellite Observations: State-of-the-Art and Future Directions.REMOTE SENSING,12(16),27. |
| MLA | Duan, Si-Bo,et al."Land Surface Temperature Retrieval from Passive Microwave Satellite Observations: State-of-the-Art and Future Directions".REMOTE SENSING 12.16(2020):27. |
入库方式： OAI收割
来源：地理科学与资源研究所
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