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Retrieval of water depth of coastal wetlands in the yellow river delta from ALOS palsar backscattering coefficients and interferometry
Yuan, Minghuan1; Xie, C.1; Shao, Y.1; Xu, J.1; Cui, Baoshan1; Liu, L.1
刊名IEEE Geoscience and Remote Sensing Letters
2016
卷号13期号:10页码:1517-1521
英文摘要Coastal wetland ecosystems are among the most productive yet highly threatened systems in the world, and population growth and increasing economic development have resulted in extremely rapid degradation and loss of coastal wetlands. Synthetic aperture radar (SAR) has proved to be of great potential in wetland applications, such as characterizing wetland types and mapping wetland inundation extent, based on the fact that the SAR backscatter signal from the wetland depends mainly on the wetland vegetation and hydrodynamic. However, the absence of ground observations has limited calibration and validation of water depth estimated from satellite SAR data. This letter aims to explore the potential for retrieving the water depth in freshwater marshes using L-band SAR backscattering coefficients. We present an innovative approach for combining backscattering coefficients and interferometric data to estimate water depth from L-band SAR data. The technique was applied to freshwater marshes in the Yellow River Delta using an Advanced Land Observing Satellite Phased Array L-band SAR data set acquired between 2007 and 2010. It is shown that the combination of L-band backscattering coefficients and interferometric data could provide information on the hydrodynamic of the Yellow River Delta with high spatial resolution. © 2004-2012 IEEE.
学科主题Geochemistry & Geophysics; Engineering; Remote Sensing; Imaging Science & Photographic Technology
类目[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:20163502763720
内容类型期刊论文
源URL[http://ir.radi.ac.cn/handle/183411/39276]  
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. Laboratory of Radar Remote Sensing Application Technology, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing
2.100101, China
3. College of Resources and Environmental Science, Hunan Normal University, Changsha
4.480081, China
5. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing
6.100101, China
7. Chinese Academy of Surveying and Mapping, Beijing
8.100039, China
9. State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing
10.100875, China
推荐引用方式
GB/T 7714
Yuan, Minghuan,Xie, C.,Shao, Y.,et al. Retrieval of water depth of coastal wetlands in the yellow river delta from ALOS palsar backscattering coefficients and interferometry[J]. IEEE Geoscience and Remote Sensing Letters,2016,13(10):1517-1521.
APA Yuan, Minghuan,Xie, C.,Shao, Y.,Xu, J.,Cui, Baoshan,&Liu, L..(2016).Retrieval of water depth of coastal wetlands in the yellow river delta from ALOS palsar backscattering coefficients and interferometry.IEEE Geoscience and Remote Sensing Letters,13(10),1517-1521.
MLA Yuan, Minghuan,et al."Retrieval of water depth of coastal wetlands in the yellow river delta from ALOS palsar backscattering coefficients and interferometry".IEEE Geoscience and Remote Sensing Letters 13.10(2016):1517-1521.
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