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 slowmoving 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.

The use of DInSAR data for the analysis of building damage induced by slow-moving landslides

Borrelli L;Fornaro G
2015

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 slowmoving 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.
2015
Istituto di Ricerca per la Protezione Idrogeologica - IRPI
Istituto per il Rilevamento Elettromagnetico dell'Ambiente - IREA
Slow-moving
landslides
DInSAR data
Building Damage
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/228519
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