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A surface soil temperature retrieval algorithm based on AMSR-E multi-frequency brightness temperatures
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
Source PublicationINTERNATIONAL JOURNAL OF REMOTE SENSING
2017
Volume38Issue:23Pages:6735-6754
DOI10.1080/01431161.2017.1363438
AbstractIn 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.
Subject Area自然地理学
WOS IDWOS:000412545900015
Language英语
Indexed BySCI
KeywordIN-SITU OBSERVATIONS TIBETAN PLATEAU RADIOFREQUENCY INTERFERENCE MOISTURE NETWORK VALIDATION PRODUCTS MODEL GHZ SIMULATIONS RESOLUTION
WOS Research AreaRemote Sensing; Imaging Science & Photographic Technology
WOS SubjectRemote Sensing; Imaging Science & Photographic Technology ; Remote Sensing; Imaging Science & Photographic Technology
Cooperation Status国内
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Document Type期刊论文
Identifierhttp://ir.itpcas.ac.cn/handle/131C11/8377
Collection图书馆
Corresponding AuthorLu, H
Affiliation1.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.
Recommended Citation
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.
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