Abstract
The paper aims at checking the contribution that DInSAR data, processed via different algorithms, can provide to the analysis of damages recorded to buildings located in slow-moving landslide affected areas. For this purpose, an urban area in Calabria region, southern Italy, was selected due to the availability of both DInSAR data since 1992 and historic information concerning damage data recorded via municipal ordinances. The combination of DInSAR data and the results of supplementary damage surveys allowed the preliminary investigation of a cause (maximum velocity)—effect (damage) relationship which, once validated, can be valuably used for damage analysis and forecasting.
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References
Amodio Morelli L, Bonardi G, Colonna V, Dietrich D, Giunta G, Ippolito F, Liguori V, Lorenzoni S, Paglionico A, Perrone V, Piccarreta G, Russo M, Scandone P, Zanetti-Lorenzoni E, Zuppetta A (1976) L’Arco Calabro-Peloritano nell’orogene appenninico-maghrebide. Memorie della Società Geologica Italiana 17:1–60
Antronico L, Borrelli L, Peduto D, Fornaro G, Gullà G, Paglia L, Zeni G (2013) Conventional and innovative techniques for the monitoring of displacements in landslide affected area. In: Margottini C et al (eds) Landslide science and practice, vol 2., Early warning, instrumentation and monitoringSpringer, Berlin, pp 125–131
Burland JB, Broms BB, de Mello VFB (1977) Behaviour of foundations and structures. In: SOA Report. Proceedings of 9th International Conference on SMFE, Tokyo, vol 2, pp 495–546
Cascini L, Fornaro G, Peduto D (2010) Advanced low- and full resolution DInSAR map generation for slow-moving landslide analysis at different scales. Eng Geol 112:29–42
Cascini L, Peduto D, Pisciotta G, Arena L, Ferlisi S, Fornaro G (2013) The combination of DInSAR and facility damage data for the updating of slow-moving landslide inventory maps at medium scale. Nat Hazards Earth Syst Sci 13:1527–1549
Ferretti A, Prati C, Rocca F (2001) Permanent scatterers in SAR interferometry. IEEE Trans Geosci Remote Sens 39:8–20
Fornaro G, Pauciullo A, Serafino F (2009) Deformation monitoring over large areas with multipass differential SAR interferometry: a new approach based on the use of spatial differences. Int J Remote Sens 30:1455–1478
Gullà G (2001) Relazione geotecnica-Progettazione esecutiva per la rete nazionale di monitoraggio frane-Sezione territoriale della Regione Calabria. CNR-IRPI - Presidenza del Consiglio dei Ministri-Segretariato Generale, Dipartimento per i Servizi Tecnici Nazionali-Servizio Geologico Nazionale, P.O. Assistenza Tecnica del Q.C.S. Obiettivo 1-1994–1999 (Unpublished report, in Italian)
Mansour MF, Morgenstern NR, Martin CD (2011) Expected damage from displacement of slow-moving slides. Landslides 7:117–131
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Ferlisi, S., Peduto, D., Gullà, G., Nicodemo, G., Borrelli, L., Fornaro, G. (2015). The Use of DInSAR Data for the Analysis of Building Damage Induced by Slow-Moving Landslides. In: Lollino, G., et al. Engineering Geology for Society and Territory - Volume 2. Springer, Cham. https://doi.org/10.1007/978-3-319-09057-3_325
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DOI: https://doi.org/10.1007/978-3-319-09057-3_325
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