中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Global Land Surface Backscatter at Ku-Band Using Merged Jason1, Envisat, and Jason2 Data Sets

文献类型:期刊论文

作者Yang, Le1; Liu, Qinhuo1; Zhao, Jing1; Bao, Lifeng1
刊名IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
出版日期2015
卷号53期号:2页码:153-159
关键词Backscatter continental surfaces leaf area index (LAI) radar altimeter
通讯作者Yang, L (reprint author), Chinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China.
英文摘要A unique method for investigating continental surfaces uses backscatter data measured by a radar altimeter at the nadir point of a satellite, in contrast to other microwave sensors designed to work at oblique angles, such as scatterometers and synthetic aperture radar. To improve the altimetry resolution over land, we generated 0.5 degrees x 0.5 degrees merged altimetry backscatter maps covering 66 degrees N to 66 degrees S over the global land surface every six days for the period from January 2002 to June 2009 by combining three altimeter data sets (Jason1, Envisat, Jason2) in the Ku-band. The four backscatter products of Envisat RA2 from different retracking algorithms were evaluated prior to merging with the Jason1 and Jason2 data. The global pattern and the seasonal variation of the merged altimetry backscatter were examined, which show the merged results have better spatial sampling for the regional to global geophysical process due to the combination of three altimeters. To understand how the altimetry backscatter is related to land surface parameters, the advanced integral equation model for bare soil and water cloud model for vegetation are used to simulate the Ku-band backscatter response to soil and vegetation parameters at an incidence of 0 degrees. Furthermore, we compared the time series of merged altimetry backscatter with the leaf area index (LAI) determined by an optical sensor and the backscatter coefficients obtained from a scatterometer (QuikSCAT) over seven selected vegetated areas over six years. The results confirm the sensitivity of ocean altimetry to vegetation. Further studies relating altimetry backscatter to geophysical parameter are needed.
研究领域[WOS]Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
收录类别SCI ; EI
语种英语
WOS记录号WOS:000342910800015
源URL[http://ir.ceode.ac.cn/handle/183411/38289]  
专题遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
作者单位1.[Yang, Le
2.Liu, Qinhuo
3.Zhao, Jing] Chinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China
4.[Bao, Lifeng] Chinese Acad Sci, State Key Lab Geodesy & Earths Dynam, Inst Geodesy & Geophys, Wuhan 430077, Peoples R China
推荐引用方式
GB/T 7714
Yang, Le,Liu, Qinhuo,Zhao, Jing,et al. Global Land Surface Backscatter at Ku-Band Using Merged Jason1, Envisat, and Jason2 Data Sets[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2015,53(2):153-159.
APA Yang, Le,Liu, Qinhuo,Zhao, Jing,&Bao, Lifeng.(2015).Global Land Surface Backscatter at Ku-Band Using Merged Jason1, Envisat, and Jason2 Data Sets.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,53(2),153-159.
MLA Yang, Le,et al."Global Land Surface Backscatter at Ku-Band Using Merged Jason1, Envisat, and Jason2 Data Sets".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 53.2(2015):153-159.

入库方式: OAI收割

来源:遥感与数字地球研究所

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