Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1080/2150704X.2014.960610 |
Retrieving China’s surface soil moisture and land surface temperature using AMSR-E brightness temperatures | |
Chen, Xiuzhi1,2; Su, Yongxian3; Li, Yong3; Han, Liusheng3; Liao, Jishan4; Yang, Shenbin2 | |
通讯作者 | Chen, Xiuzhi |
来源期刊 | REMOTE SENSING LETTERS
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ISSN | 2150-704X |
EISSN | 2150-7058 |
出版年 | 2014 |
卷号 | 5期号:7页码:662-671 |
英文摘要 | Based on the passive microwave radiative transfer equation, we developed a single-band model for retrieving surface soil moisture (m(v)) and land surface temperature (T-s) using Aqua satellite advanced microwave scanning radiometer (AMSR-E) C-band brightness temperatures (T-b) without any ancillary data. National-scale m(v) and T-s of China in 2009 were jointly mapped. The average mv and Ts retrieval errors are 0.037 g cm(-3) and 2.00K when validated by in situ measurements and approximately 0.025 g cm(-3) and 2.34K when compared with AMSR-E L3 m(v) and moderate-resolution imaging spectroradiometer daily T-s products. In particular, most m(v) and T-s estimation errors are under 0.37 g cm(-3) and 2.00K, respectively, for regions with the microwave polarization difference index (MPDI) between 0.01 and 0.05, but increased clearly larger for those with MPDI smaller than 0.01 or larger than 0.05, which are mostly dense-vegetated regions in Southwestern China or plateaus and dry deserts such as Inner Mongolia plateau, Qinghai-Tibet Plateau, Taklimakan Desert and Turpan basin. In summary, the proposed retrieval algorithm might provide a new way to monitor m(v) and T-s conditions for penetrable vegetation canopy regions, but further investigations are still needed, especially for specific plateau, desert and frozen regions. |
类型 | Article |
语种 | 英语 |
国家 | Peoples R China ; USA |
收录类别 | SCI-E |
WOS记录号 | WOS:000342300100009 |
WOS关键词 | SATELLITE MICROWAVE OBSERVATIONS ; ALGORITHM ; WETNESS ; FIELDS ; MODEL ; INDEX |
WOS类目 | Remote Sensing ; Imaging Science & Photographic Technology |
WOS研究方向 | Remote Sensing ; Imaging Science & Photographic Technology |
来源机构 | 南京信息工程大学 |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/184703 |
作者单位 | 1.Chinese Acad Sci, South China Bot Garden, Key Lab Vegetat Restorat & Management Degraded Ec, Guangzhou 510650, Guangdong, Peoples R China; 2.Nanjing Univ Informat Sci & Technol, Coll Appl Meteorol, Jiangsu Key Lab Agr Meteorol, Nanjing 210044, Jiangsu, Peoples R China; 3.Guangzhou Inst Geog, Guangzhou 510070, Guangdong, Peoples R China; 4.Univ Notre Dame, Dept Biol Sci, Notre Dame, IN 46556 USA |
推荐引用方式 GB/T 7714 | Chen, Xiuzhi,Su, Yongxian,Li, Yong,等. Retrieving China’s surface soil moisture and land surface temperature using AMSR-E brightness temperatures[J]. 南京信息工程大学,2014,5(7):662-671. |
APA | Chen, Xiuzhi,Su, Yongxian,Li, Yong,Han, Liusheng,Liao, Jishan,&Yang, Shenbin.(2014).Retrieving China’s surface soil moisture and land surface temperature using AMSR-E brightness temperatures.REMOTE SENSING LETTERS,5(7),662-671. |
MLA | Chen, Xiuzhi,et al."Retrieving China’s surface soil moisture and land surface temperature using AMSR-E brightness temperatures".REMOTE SENSING LETTERS 5.7(2014):662-671. |
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