2015
DOI: 10.3390/rs71114386
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Detecting the Source Location of Recent Summit Inflation via Three-Dimensional InSAR Observation of Kīlauea Volcano

Abstract: Starting on 21 April 2015, unusual activity on the summit of Kīlauea was detected. Rapid summit inflation and a rising lava lake in Halema'uma'u crater were interpreted as early signs of imminent magma intrusion. We explored the three-dimensional (3D) surface motion accompanying this volcanic event using the Interferometric Synthetic Aperture Radar (InSAR) stacking method. Multi-temporal COSMO-SkyMed X-band SAR data collected from ascending and descending orbits were processed for the time period encompassing … Show more

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Cited by 28 publications
(25 citation statements)
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“…Interferometric Synthetic Aperture Radar (InSAR), a rapidly developed technique, has been widely and successfully applied to monitor the surface displacements at volcanoes worldwide, such as the Etna, Kilauea, and Piton de la Fournaise (e.g., [10][11][12][13][14][15]). However, the number of InSAR studies focusing on the displacement due to the post-lava emplacement processes is very limited with respect to those focusing on the displacement associated with magmatic processes [16].…”
Section: Introductionmentioning
confidence: 99%
“…Interferometric Synthetic Aperture Radar (InSAR), a rapidly developed technique, has been widely and successfully applied to monitor the surface displacements at volcanoes worldwide, such as the Etna, Kilauea, and Piton de la Fournaise (e.g., [10][11][12][13][14][15]). However, the number of InSAR studies focusing on the displacement due to the post-lava emplacement processes is very limited with respect to those focusing on the displacement associated with magmatic processes [16].…”
Section: Introductionmentioning
confidence: 99%
“…The deformation rate was linearized by fitting the number of fringes versus time period for the interferograms. We selected 12 interferograms (Table 1) that showed the highest quality among the 27 data pairs processed within the 2014-2018 time period, and then we normalized the deformation rates to a 1 year period to perform the stacking process and therewith to increase the signal-to-noise ratio [57][58][59][60][61][62] (see Figure 2). The aim of these deformation assessments was to generate a database that supported the gravimetric and magnetic field measurements (described in the following sections); future studies might allow more rigorous exploration of the deformation rate changes by considering time series analyses, which was beyond the scope of this work.…”
Section: Insar Datamentioning
confidence: 99%
“…For this study, we did not consider the temporal decorrelation factor in order to analyze the measurement performance of the radar systems, and assumed γ temporal = 1 for both cases. This temporal decorrelation factor still gives useful information about surface change phenomena, for example, change detection [7,8,22], and is widely used in various applications of radar remote sensing.…”
Section: Estimation Of the Correlation Coefficientmentioning
confidence: 99%