2017
DOI: 10.17850/njg97-4-03
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Relating 3D surface displacement from satellite- and ground-based InSAR to structures and geomorphology of the Jettan rockslide, northern Norway

Abstract: This study combines remote sensing data from ground-and satellite-based radar to calculate 3D displacement vectors for the Jettan rockslide, Troms, northern Norway. Using 3D displacement vectors, aspect data and strain rates in conjunction with structure (foliation, faults, fractures), geomorphological elements (ridges, scarps, terraces, depressions), topography and borehole data, we identify zones undergoing displacement, e.g., extension and compression, displacement into-or out-of-the-slope and/or various de… Show more

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Cited by 10 publications
(13 citation statements)
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References 22 publications
(37 reference statements)
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“…We interpret morphostructure and failure mechanisms based on a 0.5-m resolution aerial laser scanning (ALS) digital elevation model (DEM) (Kartverket 2019a), geological maps (Zwaan 1988;Zwaan et al 1998Zwaan et al , 2006Quenardel and Zwaan 2008) and extensive data sets (Nordvik et al 2010;Husby 2011;Rasmussen 2011;Hannus 2012;Bunkholt et al , 2013aBlikra and Christiansen 2014;Böhme et al 2016aBöhme et al , 2019Bredal 2016;Eriksen et al 2017b;Eriksen 2017;Eriksen et al 2017a;Andresen 2018) including field data collected sporadically by the authors from 1969 and intensely from 2008. We compared the structural setting to kinematic information using (1) in situ differential Global Navigation Satellite Systems (dGNSS) measurements when available and (2) synthetic aperture radar interferometry (InSAR) measurements based on 2015-2018 Sentinel-1 satellite images (free and open InSAR Norway mapping service insar.no; NGU 2019b) processed with a persistent scatterer interferometry algorithm (Ferretti et al 2000(Ferretti et al , 2001.…”
Section: Datamentioning
confidence: 99%
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“…We interpret morphostructure and failure mechanisms based on a 0.5-m resolution aerial laser scanning (ALS) digital elevation model (DEM) (Kartverket 2019a), geological maps (Zwaan 1988;Zwaan et al 1998Zwaan et al , 2006Quenardel and Zwaan 2008) and extensive data sets (Nordvik et al 2010;Husby 2011;Rasmussen 2011;Hannus 2012;Bunkholt et al , 2013aBlikra and Christiansen 2014;Böhme et al 2016aBöhme et al , 2019Bredal 2016;Eriksen et al 2017b;Eriksen 2017;Eriksen et al 2017a;Andresen 2018) including field data collected sporadically by the authors from 1969 and intensely from 2008. We compared the structural setting to kinematic information using (1) in situ differential Global Navigation Satellite Systems (dGNSS) measurements when available and (2) synthetic aperture radar interferometry (InSAR) measurements based on 2015-2018 Sentinel-1 satellite images (free and open InSAR Norway mapping service insar.no; NGU 2019b) processed with a persistent scatterer interferometry algorithm (Ferretti et al 2000(Ferretti et al , 2001.…”
Section: Datamentioning
confidence: 99%
“…Areas without any InSAR information do not correspond to stable parts but to areas where no displacement information can be retrieved due to geometrical effects or decorrelation due to vegetation, snow, wet or quickly changing surfaces. For more information about the potential and limitations of InSAR for the characterisation of RSDs, see Barboux et al (2015), Carlà et al (2019), Eriksen et al (2017a), Frattini et al (2018), Lauknes et al (2010) and Schlögel et al (2016).…”
Section: Datamentioning
confidence: 99%
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