Abstract
Landslide inventory maps can benefit from the contribution of remote sensing technologies. We exploit PSI (Persistent Scatterer Interferometry) data extracted from ERS1/2 and RADARSAT-1 satellite images acquired in the intervals 1992–2001 and 2003–2010 respectively, for the detection and mapping of landslide ground displacements at regional scale. We propose a PSI-based procedure, based on the exploitation of activity matrices and intensity scales, combining the information coming from available pre-existing inventories and PSI average velocities. We apply this approach on the test area of Northern Calabria (Southern Italy), extended 4,410km2 and extensively affected by landslide hazard, finally updating and improving the landslide inventory of this area and assessing the spatial distribution, state of activity and intensity of 1,196 landslides, corresponding to 4.3% of the whole investigated territory.
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Acknowledgments
This work is carried out within the SAFER (Services and Applications For Emergency Response) project, funded by the European Community’s Seventh Framework Programme (FP7/2007–2013) under EC-ESA Grant Agreement n.218802. RADARSAT-1 data provided by the ESA managed GSC-DA, funded by the FP7/2007–2013 under EC-ESA Grant Agreement n.223001. RADARSAT-1 images were processed by e-GEOS with the PSP-DIFSAR technique. ERS PSI products were made available through the PST-A (Piano Straordinario di Telerilevamento Ambientale) project and the WMS service of the Italian Ministry for the Environment, Land and Sea. Access to IFFI (Inventario dei Fenomeni Franosi in Italia) was performed through the ISPRA’s WMS service, while PAI (Piano Stralcio di Bacino per l’Assetto Idrogeologico) was made available by the Italian Civil Protection Department.
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Bianchini, S., Cigna, F., Casagli, N. (2013). Improving Landslide Inventory with Persistent Scatterers in Calabria, Italy. In: Margottini, C., Canuti, P., Sassa, K. (eds) Landslide Science and Practice. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31325-7_15
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DOI: https://doi.org/10.1007/978-3-642-31325-7_15
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