Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/15627
Authors: Polcari, Marco* 
Secreti, Valeria* 
Anderlini, Letizia* 
Albano, Matteo* 
Palano, Mimmo* 
Serpelloni, Enrico* 
Stramondo, Salvatore* 
Trasatti, Elisa* 
Pezzo, Giuseppe* 
Title: Multi-technique geodetic detection of onshore and offshore subsidence along the Upper Adriatic Sea coasts
Journal: International Journal of Applied Earth Observation and Geoinformation 
Series/Report no.: /108 (2022)
Publisher: Elsevier
Issue Date: Mar-2022
DOI: 10.1016/j.jag.2022.102756
URL: https://www.sciencedirect.com/science/article/pii/S0303243422000824
Abstract: We assess about 20 years of onshore and offshore subsidence along a sector of the Upper Adriatic Sea (Italy) coastal areas affected by natural soil compaction and intense anthropogenic activities such as aquifers exploitation and hydrocarbons extraction. Our approach is based on the synergistic use of independent remote sensing and in-situ geodetic data to detect and spatially characterise the deformation pattern by cross-validating the different available measurements. We collect extensive datasets from i) SAR images provided by Envisat, Cosmo- SkyMed and Sentinel-1 missions, ii) GNSS measurements from continuous stations managed by public institutions, local authorities and private companies and iii) Leveling surveys. The cross-validation analysis shows good agreement among all the independent datasets, thus providing a reliable assessment of the ongoing deformation. We detect an onshore and offshore subsidence peak of about 1/-1.5 cm/yr in the proximity of the coastline, close to Lido di Dante and Fiumi Uniti villages, and at the present offshore platform. The outcomes highlight how the integration of different remote sensing and in situ geodetic techniques is successful to retrieve deformation history in time and space in complex areas, where different natural and anthropogenic sources concur to the overall deformation pattern. Moreover, such approach provides a robust support to modelling studies for hazard assessment in both inland and shoreline areas.
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