The backscattering characteristics of wetland vegetation and water-level changes detection using multi-mode SAR: A case study

	The backscattering characteristics of wetland vegetation and water-level changes detection using multi-mode SAR: A case study
	Zhang, Meimei 1; Li, Zhen 1; Tian, Bangsen 1; Zhou, Jianmin 1; Tang, Panpan 1
刊名	INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
	2016
卷号	45 页码:1-13
关键词	REMOTELY-SENSED IMAGERY LAND-COVER INFORMATION SIMULATION
通讯作者	Li, Z (reprint author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China.
英文摘要	A full understanding of the backscattering characteristics of wetlands is necessary for the analysis of the hydrological conditions. In this study, a temporal set of synthetic aperture radar (SAR) imagery, acquired at different frequencies, polarizations and incidence angles over the coastal wetlands of the Liaohe River Delta, China, were used to characterize seasonal variations in radar backscattering coefficient for reed marshes and rice fields. The combination of SAR backscattering intensity and an optical-based normalized difference vegetation index (NDVI) for long time series can provide additional insight into vegetation structural and its hydrological states. After identifying the factors that induce the backscattering and scattering mechanism changes, detailed analysis oft-band ALOS PALSAR interferometric SAR (InSAR) imagery was conducted to study water-level changes under different environmental conditions. In addition, ENVISAT altimetry was used to validate the accuracy of the water-level changes estimated using the InSAR technique this is an effective tool instead of sparsely distributed gauge stations for the validation. Our study demonstrates that L-band SAR data with horizontal polarization is particularly suitable for the extraction of water-level changes in the study area; however, vertically-polarized C-band data may also be useful where the density of herbaceous vegetation is low at the initial stage. It is also shown that integrated analysis of the backscattering mechanism and interferometric characteristics using multi-mode SAR can considerably enhance the reliability of the water-level retrieval scheme and better capture the spatial distribution of hydrological patterns. (C) 2015 Elsevier B.V. All rights reserved.
学科主题	Remote Sensing
类目[WOS]	Remote Sensing
收录类别	SCI
语种	英语
WOS记录号	WOS:000367771500001
内容类型	期刊论文
源URL	[http://ir.radi.ac.cn/handle/183411/39170]
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.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Meimei,Li, Zhen,Tian, Bangsen,et al. The backscattering characteristics of wetland vegetation and water-level changes detection using multi-mode SAR: A case study[J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,2016,45:1-13.
APA	Zhang, Meimei,Li, Zhen,Tian, Bangsen,Zhou, Jianmin,&Tang, Panpan.(2016).The backscattering characteristics of wetland vegetation and water-level changes detection using multi-mode SAR: A case study.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,45,1-13.
MLA	Zhang, Meimei,et al."The backscattering characteristics of wetland vegetation and water-level changes detection using multi-mode SAR: A case study".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 45(2016):1-13.