DEM Error Retrieval by Analyzing Time Series of Differential Interferograms

Bombrun, Lionel; Trouvé, Emmanuël; Vasile, Gabriel; Mars, Jérôme

doi:10.1109/lgrs.2009.2026434

Cited by 5 publications

(2 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Here, the displacement phase ϕ disp is the 'signal part' (Bombrun et al 2009), which DInSAR attempts to isolate, and the topographic phase ϕ topo is caused by topography, which is proportional to the perpendicular baseline and the height over the reference surface. Furthermore the noise can be considered random, and Equation (2) then is simplified as:…”

Section: Modified Four-pass Dinsar Methodsmentioning

confidence: 99%

Modified four-pass differential SAR interferometry for estimating mountain glacier surface velocity fields

Liu

Guo

Yue³

et al. 2015

Remote Sensing Letters

View full text Add to dashboard Cite

Conventional four-pass differential synthetic aperture radar interferometry (DInSAR) assumes that there are no significant changes in the ground during the period between the acquisition times of SAR images for topographic DInSAR pairs. This assumption can rarely be satisfied for glacial areas due to their continuous movement. This letter proposes a modified four-pass DInSAR method without an external digital elevation model (DEM), taking into account glacier movement between the acquisition times of SAR images used to form topographic DInSAR pairs. An explicit expression of theoretical formulas for a modified four-pass DInSAR technique was derived for the first time, revealing that four-pass DInSAR considering ground movement of topographic pairs was equivalent to that of conventional four-pass DInSAR with a spatially varying nominal wavelength. Then the proposed method was tested with four Advanced Land Observing Satellite (ALOS) SAR images covering Dongkemadi glacier located on the Tibetan Plateau, China. An experiment with real data showed that the proposed method could obtain glacial flow patterns efficiently, and that the difference between two-pass DInSAR and the proposed method is a result of DEM bias and glacial thinning. The approach presented in this letter proved to be appropriate for monitoring glacial motion and provides a valuable tool for glacier studies, without the need of an external DEM. ARTICLE HISTORY

show abstract

Section: Modified Four-pass Dinsar Methodsmentioning

confidence: 99%

Modified four-pass differential SAR interferometry for estimating mountain glacier surface velocity fields

Liu

Guo

Yue³

et al. 2015

Remote Sensing Letters

View full text Add to dashboard Cite

show abstract

“…Confidential manuscript submitted to: Remote Sensing of Environment InSAR data are degraded by various error and noise sources. The error caused by DEM uncertainty can be reduced by a number of methods correcting for interferograms (e.g., Berardino et al, 2002;Bombrun et al, 2009) or deformation time series (e.g., Fattahi & Amelung, 2013;Pepe et al, 2011). In order to reduce the effect of satellite orbital errors (ramps), polynomial models based on network-sense (Biggs et al, 2007;Cavalié et al, 2008;Jolivet et al, 2012;Lin et al, 2010) or GPS data (e.g., Neely et al, 2020;Tong et al, 2013) can be used.…”

Section: Introductionmentioning

confidence: 99%