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The contribution of satellite SAR-derived displacement measurements in landslide risk management practices

Author

Listed:
  • Federico Raspini

    (University of Firenze)

  • Federica Bardi

    (University of Firenze)

  • Silvia Bianchini

    (University of Firenze)

  • Andrea Ciampalini

    (University of Firenze)

  • Chiara Ventisette

    (University of Firenze)

  • Paolo Farina

    (Academic Spin-off of the University of Florence)

  • Federica Ferrigno

    (University of Firenze)

  • Lorenzo Solari

    (University of Firenze)

  • Nicola Casagli

    (Academic Spin-off of the University of Florence)

Abstract

Landslides are common phenomena that occur worldwide and are a main cause of loss of life and damage to property. The hazards associated with landslides are a challenging concern in many countries, including Italy. Over the last 15 years, an increasing number of applications have aimed to demonstrate the applicability of images captured by space-borne Synthetic Aperture Radar (SAR) sensors in slope instability investigations. InSAR (SAR interferometry) is currently one of the most exploited techniques for the assessment of ground displacements, and it is becoming a consolidated tool for Civil Protection institutions in addressing landslide risk. This paper presents a subset of the results obtained in Italy within the framework of SAR-based programmes and applications intended to test the potential application of C- and X-band satellite interferometry during different Civil Protection activities (namely prevention, prevision, emergency response and post-emergency phases) performed to manage landslide risk. Analysis of satellite SAR data is demonstrated to play a major role in the investigation of landslide-related events at different stages, including detection, mapping, monitoring, characterization and prediction. In addition, this paper also discusses the limitations that still exist and must be overcome in the coming years to manage the transition of satellite SAR systems towards complete operational use in landslide risk management practices.

Suggested Citation

  • Federico Raspini & Federica Bardi & Silvia Bianchini & Andrea Ciampalini & Chiara Ventisette & Paolo Farina & Federica Ferrigno & Lorenzo Solari & Nicola Casagli, 2017. "The contribution of satellite SAR-derived displacement measurements in landslide risk management practices," 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. 86(1), pages 327-351, March.
    • Handle: RePEc:spr:nathaz:v:86:y:2017:i:1:d:10.1007_s11069-016-2691-4
    DOI: 10.1007/s11069-016-2691-4
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    References listed on IDEAS

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    1. Atanu Bhattacharya & Kriti Mukherjee & Manoj Kuri & Malte Vöge & M. Sharma & M. Arora & Rejinder Bhasin, 2015. "Potential of SAR intensity tracking technique to estimate displacement rate in a landslide-prone area in Haridwar region, India," 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. 79(3), pages 2101-2121, December.
    2. Maxx Dilley & Robert S. Chen & Uwe Deichmann & Arthur L. Lerner-Lam & Margaret Arnold, 2005. "Natural Disaster Hotspots: A Global Risk Analysis," World Bank Publications - Books, The World Bank Group, number 7376.
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