Arid
DOI10.1080/2150704X.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
ISSN2150-704X
EISSN2150-7058
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.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Chen, Xiuzhi]的文章
[Su, Yongxian]的文章
[Li, Yong]的文章
百度学术
百度学术中相似的文章
[Chen, Xiuzhi]的文章
[Su, Yongxian]的文章
[Li, Yong]的文章
必应学术
必应学术中相似的文章
[Chen, Xiuzhi]的文章
[Su, Yongxian]的文章
[Li, Yong]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。