2016
DOI: 10.1117/12.2242095
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25 years of satellite InSAR monitoring of ground instability and coastal geohazards in the archaeological site of Capo Colonna, Italy

Abstract: For centuries the promontory of Capo Colonna in Calabria region, southern Italy, experienced land subsidence and coastline retreat to an extent that the archaeological ruins of the ancient Greek sanctuary are currently under threat of cliff failure, toppling and irreversible loss. Gas extraction in nearby wells is a further anthropogenic element to account for at the regional scale. Exploiting an unprecedented satellite Synthetic Aperture Radar (SAR) time series including ERS-1/2, ENVISAT, TerraSAR-X, COSMO-Sk… Show more

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Cited by 13 publications
(17 citation statements)
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References 19 publications
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“…Cigna et al (2014) stated that satellite data highlighted the "overall stability of the main monuments and archeological sites of the historic center and the absence of clear deformation patterns at local-scale." Tapete and Cigna (2012) and Cigna et al (2016) performed an interferometric analysis over the archeological site of Capo Colonna in Calabria Region, located on top of a promontory affected by both rockfalls, due to marine erosion, and land subsidence, related to gas extraction in nearby wells. Cigna et al (2016) exploited 40 artificial corner reflectors to increase the radar coherence of the area, obtaining a highest number of measurement points.…”
Section: Psi Data For Buildings Infrastructures and Cultural Heritagmentioning
confidence: 99%
“…Cigna et al (2014) stated that satellite data highlighted the "overall stability of the main monuments and archeological sites of the historic center and the absence of clear deformation patterns at local-scale." Tapete and Cigna (2012) and Cigna et al (2016) performed an interferometric analysis over the archeological site of Capo Colonna in Calabria Region, located on top of a promontory affected by both rockfalls, due to marine erosion, and land subsidence, related to gas extraction in nearby wells. Cigna et al (2016) exploited 40 artificial corner reflectors to increase the radar coherence of the area, obtaining a highest number of measurement points.…”
Section: Psi Data For Buildings Infrastructures and Cultural Heritagmentioning
confidence: 99%
“…This integrated system included satellite SAR surveys among the shallow monitoring techniques employed by ENI in their typical subsidence monitoring networks [44]. SAR was also used in research papers for high-resolution [45] and multi-temporal [46,47] assessment of land subsidence in the last 25 years.…”
Section: Study Areamentioning
confidence: 99%
“…Of these, the majority focused on InSAR datasets retrieved from one to two SAR sensor datasets. Whereas [46] provided not only the most recent assessment using COSMO-SkyMed ascending and descending (2011)(2012)(2013)(2014)(2015) and Sentinel-1A ascending (2014)(2015)(2016) data, but also a 25-year-long review of local land subsidence through the combination with other C-and X-band InSAR datasets from 1992 to 2010. Comparison of the Sentinel-1 P-SBAS outputs with past observations available in the literature allowed corroboration of the spatial patterns and the order of magnitude of the deformation rates affecting the study area.…”
Section: Coastal Land Subsidence At the Capo Colonna Promontorymentioning
confidence: 99%
See 1 more Smart Citation
“…[19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35] To further improve region investigation and monitoring accuracy of landslides, InSAR has been combined with optical remote sensing, Global Navigation Satellite System, corner reflectors, and ground-based radar. [36][37][38][39][40][41][42][43][44][45] However, due to the influence of complex regional topography and land use, improving the locating and monitoring accuracy of time series (TS)-InSAR in detecting the development of regional landslides remains a problem that urgently needs to be solved. Plank et al 46 presented a geographical information system procedure to predict the areas of layover and shadowing due to the geometric distortion of radar image caused by rugged terrain.…”
Section: Introductionmentioning
confidence: 99%