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InSAR Monitoring of Italian Coastline Revealing Natural and Anthropogenic Ground Deformation Phenomena and Future Perspectives

Author

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  • Marco Polcari

    (Istituto Nazionale di Geofisica e Vulcanologia, Via di Vigna Murata 605, 00143 Rome, Italy)

  • Matteo Albano

    (Istituto Nazionale di Geofisica e Vulcanologia, Via di Vigna Murata 605, 00143 Rome, Italy)

  • Antonio Montuori

    (Agenzia Spaziale Italiana, Via del Politecnico s.n.c., 00133 Rome, Italy)

  • Christian Bignami

    (Istituto Nazionale di Geofisica e Vulcanologia, Via di Vigna Murata 605, 00143 Rome, Italy)

  • Cristiano Tolomei

    (Istituto Nazionale di Geofisica e Vulcanologia, Via di Vigna Murata 605, 00143 Rome, Italy)

  • Giuseppe Pezzo

    (Istituto Nazionale di Geofisica e Vulcanologia, Via di Vigna Murata 605, 00143 Rome, Italy)

  • Sergio Falcone

    (Istituto Nazionale di Geofisica e Vulcanologia, Via di Vigna Murata 605, 00143 Rome, Italy)

  • Carmelo La Piana

    (Istituto Nazionale di Geofisica e Vulcanologia, Via di Vigna Murata 605, 00143 Rome, Italy)

  • Fawzi Doumaz

    (Istituto Nazionale di Geofisica e Vulcanologia, Via di Vigna Murata 605, 00143 Rome, Italy)

  • Stefano Salvi

    (Istituto Nazionale di Geofisica e Vulcanologia, Via di Vigna Murata 605, 00143 Rome, Italy)

  • Salvatore Stramondo

    (Istituto Nazionale di Geofisica e Vulcanologia, Via di Vigna Murata 605, 00143 Rome, Italy)

Abstract

In this work, we use X and C-band SAR data provided by the COSMO-SkyMed and ENVISAT missions to detect and measure some ground deformation phenomena along six coastal areas of Italy. In particular, we exploit multi-temporal interferometric synthetic aperture radar (InSAR), i.e., small baseline subsets (SBAS) and interferometric point target analysis (IPTA) methods, to retrieve the deformation rate maps and time series for each investigated area. Multi-temporal InSAR analysis revealed local subsidence and uplifting effects in Ravenna Coastal Areas, Fiumicino, Campi Flegrei, Sibari Plain, Augusta Bay, and Taranto Gulf. Our work is meant as a demonstrator to show how InSAR-based analysis can provide a detailed understanding of the coastal hazards. Such analysis also opens up new monitoring scenarios such as the possibility of designing a near real-time surveillance service based on Sentinel-1 SAR data.

Suggested Citation

  • Marco Polcari & Matteo Albano & Antonio Montuori & Christian Bignami & Cristiano Tolomei & Giuseppe Pezzo & Sergio Falcone & Carmelo La Piana & Fawzi Doumaz & Stefano Salvi & Salvatore Stramondo, 2018. "InSAR Monitoring of Italian Coastline Revealing Natural and Anthropogenic Ground Deformation Phenomena and Future Perspectives," Sustainability, MDPI, vol. 10(9), pages 1-14, September.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:9:p:3152-:d:167611
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    References listed on IDEAS

    as
    1. F. Raspini & S. Bianchini & S. Moretti & C. Loupasakis & D. Rozos & J. Duro & M. Garcia, 2016. "Advanced interpretation of interferometric SAR data to detect, monitor and model ground subsidence: outcomes from the ESA-GMES Terrafirma project," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 83(1), pages 155-181, October.
    2. Antonella Marsico & Stefania Lisco & Valeria Lo Presti & Fabrizio Antonioli & Alessandro Amorosi & Marco Anzidei & Giacomo Deiana & Giovanni De Falco & Alessandro Fontana & Giorgio Fontolan & Massimo , 2017. "Flooding scenario for four Italian coastal plains using three relative sea level rise models," Journal of Maps, Taylor & Francis Journals, vol. 13(2), pages 961-967, November.
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    Cited by:

    1. Bo Hu & Bangxin Chen & Jing Na & Jianqun Yao & Zhimin Zhang & Xiangfeng Du, 2022. "Urban Surface Deformation Management: Assessing Dangerous Subsidence Areas through Regional Surface Deformation, Natural Factors, and Human Activities," Sustainability, MDPI, vol. 14(17), pages 1-20, August.
    2. Fengyan Wang & Qing Ding & Lei Zhang & Mingchang Wang & Qing Wang, 2019. "Analysis of Land Surface Deformation in Chagan Lake Region Using TCPInSAR," Sustainability, MDPI, vol. 11(18), pages 1-20, September.

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