气候变化领域集成服务门户(CCPortal): Characterizing marsh wetlands in the Great Lakes Basin with C-band InSAR observations

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DOI	10.1016/j.rse.2020.111750
	Characterizing marsh wetlands in the Great Lakes Basin with C-band InSAR observations
	Chen Z.; White L.; Banks S.; Behnamian A.; Montpetit B.; Pasher J.; Duffe J.; Bernard D.
发表日期	2020
ISSN	00344257
卷号	242
英文摘要	There is limited research focusing on Interferometric Synthetic Aperture Radar (InSAR) applications in the Great Lakes coastal wetlands with large water level fluctuations. In this study, we investigated the potential of using C-band SAR data to characterize marsh wetland and monitor water level changes along the coast of the Great Lakes. InSAR analysis was conducted using Radarsat-2 and Sentinel-1 data collected at Long Point, Ontario, Canada over the period of 2016–2018. Observations indicated that both backscattering coefficients and coherence from tall plants (e.g. cattail/Phragmites), short plants (e.g. grass), and water varied with different sensor modes (incidence angles and polarizations) in response to changes in phenology, disturbance, and water level. InSAR phase changes were closely related to fluctuations in water level and flow direction. We evaluated InSAR time series observations using measurements from water level loggers based on correlation and root mean square error (RMSE). It was found that correlation between InSAR measurements and water level changes in the field varied depending on the site, type of wetland vegetation, incidence angle and polarization. Although results from some sensor modes provided good correlation at a few locations, the low fringe rate and RMSE between 9 and 28 cm indicated that InSAR observations of water level changes were generally underestimated. © 2020
英文关键词	Great Lakes; InSAR; Marsh; Phragmites; Water level; Wetland
语种	英语
scopus关键词	Backscattering; Forestry; Lakes; Mean square error; Polarization; Water levels; Wetlands; Backscattering coefficients; Great lakes; Great Lakes coastal wetlands; InSAR; Interferometric synthetic aperture radars; Marsh; Phragmites; Root mean square errors; Synthetic aperture radar; backscatter; marsh; RADARSAT; Sentinel; synthetic aperture radar; time series analysis; water level; wetland; Canada; Great Lakes Basin; Long Point; Ontario [Canada]; Phragmites
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179364
作者单位	Science and Technology Branch, Environment and Climate Change Canada, Ottawa, Ontario, Canada; Canadian Wildlife Service, Environment and Climate Change Canada, Port Rowan, Ontario, Canada
推荐引用方式 GB/T 7714	Chen Z.,White L.,Banks S.,et al. Characterizing marsh wetlands in the Great Lakes Basin with C-band InSAR observations[J],2020,242.
APA	Chen Z..,White L..,Banks S..,Behnamian A..,Montpetit B..,...&Bernard D..(2020).Characterizing marsh wetlands in the Great Lakes Basin with C-band InSAR observations.Remote Sensing of Environment,242.
MLA	Chen Z.,et al."Characterizing marsh wetlands in the Great Lakes Basin with C-band InSAR observations".Remote Sensing of Environment 242(2020).