2016
DOI: 10.1007/s00190-016-0934-5
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Graph theory for analyzing pair-wise data: application to geophysical model parameters estimated from interferometric synthetic aperture radar data at Okmok volcano, Alaska

Abstract: Graph theory is useful for analyzing timedependent model parameters estimated from interferometric synthetic aperture radar (InSAR) data in the temporal domain. Plotting acquisition dates (epochs) as vertices and pair-wise interferometric combinations as edges defines an incidence graph. The edge-vertex incidence matrix and the normalized edge Laplacian matrix are factors in the covariance matrix for the pair-wise data. Using empirical measures of residual scatter in the pair-wise observations, we estimate the… Show more

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Cited by 17 publications
(20 citation statements)
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References 40 publications
(74 reference statements)
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“…The pairs from Environmental Satellite (Envisat) are selected using a minimum spanning tree (MST) algorithm according to orbital separation (e.g., [26]). The same data set was used in a previous deformation modeling study at Coso [27].…”
Section: Interferometric Synthetic Aperture Radar (Insar)mentioning
confidence: 99%
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“…The pairs from Environmental Satellite (Envisat) are selected using a minimum spanning tree (MST) algorithm according to orbital separation (e.g., [26]). The same data set was used in a previous deformation modeling study at Coso [27].…”
Section: Interferometric Synthetic Aperture Radar (Insar)mentioning
confidence: 99%
“…To analyze this trend, we perform time-series analysis using temporal adjustment on the set of volume changes ∆V i,j estimated from the individual InSAR pairs spanning the time intervals from t i to t j . This procedure converts the pair-wise volume changes ∆V i,j for individual interferometric pairs into a cumulative value of volume change at each point t i and t j in time [26]. As described previously, this approach implicitly assumes that the temporal dependence and spatial dependence of the deformation field are separable functions [26,39].…”
Section: Time Seriesmentioning
confidence: 99%
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“…To determine any temporal trends in the deformation, we performed time-series analysis on the estimated volume changes derived from the spatial deformation modeling. To handle the pair-wise nature of these volume changes, we used a graph-theoretic approach to the procedure known as temporal adjustment, which converts a series of individual, pair-wise volume changes ∆V i,j into cumulative volume change at individual points t i and t j in time [26,31]. We considered several different parameterizations for the temporal function f (t).…”
Section: Time-series Analysismentioning
confidence: 99%
“…Time series at San Emidio, showing cumulative volume change from temporal adjustment of volume change rates estimated from InSAR data spanning 1992 to 2010. Black lines show the modeled volume change with 68% confidence intervals (dashed lines) as estimated by temporal adjustment with a single-rate temporal function[31]. Red segments indicate measurements of observed volume change derived from individual interferometric pairs.…”
mentioning
confidence: 99%