A surface soil temperature retrieval algorithm based on AMSR-E multi-frequency brightness temperatures
文献类型：期刊论文
| 作者 | Han, ML (Han, Menglei)1,2; Lu, H (Lu, Hui)1,3; Yang, K (Yang, Kun)1,3,4; Qin, J (Qin, Jun)2,5; Chen, YY (Chen, Yingying)2,4; Zhao, L (Zhao, Long)6; Lazhu (Lazhu)2; Lu, H |
| 刊名 | INTERNATIONAL JOURNAL OF REMOTE SENSING
 |
| 出版日期 | 2017 |
| 卷号 | 38期号:23页码:6735-6754 |
| 关键词 | IN-SITU OBSERVATIONS TIBETAN PLATEAU RADIOFREQUENCY INTERFERENCE MOISTURE NETWORK VALIDATION PRODUCTS MODEL GHZ SIMULATIONS RESOLUTION |
| DOI | 10.1080/01431161.2017.1363438 |
| 文献子类 | Article |
| 英文摘要 | In this study, a multi-frequency statistical algorithm is proposed for retrieving surface soil temperature (T-s) from AMSR-E (Advanced Microwave Scanning Radiometer for Earth Observation System) brightness temperature (T-B) observations. The algorithm was developed based on a regression analysis between T-B from all AMSR-E bands and the corresponding in situ T-s observed by a soil moisture and temperature network in the central Tibetan Plateau. The new algorithm effectively utilizes information from the different bands provided by AMSR-E, lessening the influence of soil moisture, vegetation, and water vapour. Further validations were conducted based on seven soil moisture and temperature observation networks distributed globally. The results showed that the new multi-frequency algorithm can produce T-s values with a mean bias of less than 2 K and a root mean square error of less than 3 K for different vegetation-covered areas of the globe. Compared with a widely used single-band inversion algorithm, the new multi-frequency algorithm has better accuracy in estimating T-s and does not suffer from considerable overestimation or underestimation across these networks, indicating good transferability. This algorithm could contribute to research relating to the land energy balance by providing consistent and independent long-term estimates of daily global T-s. Nevertheless, the new algorithm has limited ability to retrieve T-s of frozen soil, given that AMSR-E T-B values are affected by the deep soil temperature after a soil is frozen. |
| 学科主题 | 自然地理学 |
| WOS研究方向 | Remote Sensing; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000412545900015 |
| 源URL | [http://ir.itpcas.ac.cn/handle/131C11/8377]  |
| 专题 | 青藏高原研究所_图书馆 |
| 通讯作者 | Lu, H |
| 作者单位 | 1.Tsinghua Univ, Dept Earth Syst Sci, Minist Educ, Key Lab Earth Syst Modelling, Beijing 100084, Peoples R China. 2.Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Tibetan Environm Changes & Land Surface P, Beijing, Peoples R China. 3.Joint Ctr Global Change Studies, Beijing, Peoples R China. 4.CAS Ctr Excellence Tibetan Plateau Earth Syst, Beijing, Peoples R China. 5.Univ Chinese Acad Sci, Beijing, Peoples R China. 6.Southwest Univ, Sch Geog Sci, Chongqing, Peoples R China. |
| 推荐引用方式 GB/T 7714 | Han, ML ,Lu, H ,Yang, K ,et al. A surface soil temperature retrieval algorithm based on AMSR-E multi-frequency brightness temperatures[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2017,38(23):6735-6754. |
| APA | Han, ML .,Lu, H .,Yang, K .,Qin, J .,Chen, YY .,...&Lu, H.(2017).A surface soil temperature retrieval algorithm based on AMSR-E multi-frequency brightness temperatures.INTERNATIONAL JOURNAL OF REMOTE SENSING,38(23),6735-6754. |
| MLA | Han, ML ,et al."A surface soil temperature retrieval algorithm based on AMSR-E multi-frequency brightness temperatures".INTERNATIONAL JOURNAL OF REMOTE SENSING 38.23(2017):6735-6754. |
入库方式： OAI收割
来源：青藏高原研究所
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