Landslide inventories can benefit from the contribution of multi-temporal satellite measures of ground deformation derived through innovative remote sensing technologies. Space-borne Synthetic Aperture Radar Interferometry (InSAR) and Persistent Scatterer Interferometry (PSI) are powerful tools for the detection, measurement and monitoring of very slow surface displacements with centimetre and millimetre precision, respectively. PSI techniques analyze long temporal series of satellite SAR data, and provide annual velocities and time series of ground deformation for dense grids of point-wise targets, the so-called Persistent Scatterers (PS). We exploit PSI measures for the identification of landslide-induced ground displacements at regional scale, and for the assessment and/or updating of the boundaries, state of activity and intensity (in terms of deformation velocity) of extremely slow and very slow landslides. The evaluation of these parameters plays a fundamental role for the improvement of landslide inventories, subsequent hazard and risk mapping, and for the consequent reduction of landslide impacts on the elements at risk. We selected the test site of Northern Calabria, a 3,900 km2 area located in southern Italy and extensively affected by landslide hazard. To analyze the deformation history and detect ground displacements of the area, 154 SAR images acquired by RADARSAT satellite in 2003-2010 along ascending and descending orbits were selected, and then processed by e-GEOS with the Persistent Scatterer Pairs (PSP) technique. RADARSAT data usually guarantee a very high spatial density of PS targets (up to 100-150 PS/km2) and a better revisiting time (24 days) with respect to ERS and ENVISAT analyses, improving significantly the chance of detecting landslide motions. The pre-existing landslide inventories of Northern Calabria (i.e. PAI – Piano per l’Assetto Idrogeologico, Hydrogeological Setting Plan, and IFFI – Inventario dei Fenomeni Franosi in Italia, Landslide Inventory in Italy), which originally included more than 850 phenomena, were merged together and then updated through the integration of ancillary data (e.g. topographic, geological, land use maps), conventional photo-interpretation of aerial and satellite optical images, and the advanced radar-interpretation of 2003-2010 PSI measures. To evaluate the state of activity and intensity of those landslides covered by PSI data, we used an innovative approach based on the exploitation of activity matrixes and intensity scales, combining the information coming from the pre-existing inventories with 2003-2010 average velocities. This approach allowed the identification of new landslides (not previously mapped through conventional geomorphologic studies), the modification of boundaries of pre-mapped phenomena, and also the assessment (or updating) of their state of activity and intensity. Radar-interpretation gave a fundamental contribution for landslide mapping in particular in urban and suburban contexts, where very high density of radar benchmarks was identified. The case study of Northern Calabria highlighted the reliability of the PSI-based approach for the updating of landslide inventories, confirming also its exportability to similar geological and geomorphologic scenarios. This work was carried out within the SAFER (Services and Applications For Emergency Response) project, funded by the European Commission within the 7th Framework Programme under the Global Monitoring for Environment and Security (EC GMES FP7) initiative.

Improving landslide inventories with multi-temporal measures of ground displacements retrieved through Persistent Scatterer Interferometry / Bianchini S.; Cigna F.; Casagli N.. - STAMPA. - Putting Science into practice, the second World Landslide Forum:(2011), pp. 62-62. (Intervento presentato al convegno The Second World Landslide Forum - WLF2 tenutosi a Rome, Italy nel 3-9 October 2011).

Improving landslide inventories with multi-temporal measures of ground displacements retrieved through Persistent Scatterer Interferometry

Bianchini S.;Cigna F.;Casagli N.
2011

Abstract

Landslide inventories can benefit from the contribution of multi-temporal satellite measures of ground deformation derived through innovative remote sensing technologies. Space-borne Synthetic Aperture Radar Interferometry (InSAR) and Persistent Scatterer Interferometry (PSI) are powerful tools for the detection, measurement and monitoring of very slow surface displacements with centimetre and millimetre precision, respectively. PSI techniques analyze long temporal series of satellite SAR data, and provide annual velocities and time series of ground deformation for dense grids of point-wise targets, the so-called Persistent Scatterers (PS). We exploit PSI measures for the identification of landslide-induced ground displacements at regional scale, and for the assessment and/or updating of the boundaries, state of activity and intensity (in terms of deformation velocity) of extremely slow and very slow landslides. The evaluation of these parameters plays a fundamental role for the improvement of landslide inventories, subsequent hazard and risk mapping, and for the consequent reduction of landslide impacts on the elements at risk. We selected the test site of Northern Calabria, a 3,900 km2 area located in southern Italy and extensively affected by landslide hazard. To analyze the deformation history and detect ground displacements of the area, 154 SAR images acquired by RADARSAT satellite in 2003-2010 along ascending and descending orbits were selected, and then processed by e-GEOS with the Persistent Scatterer Pairs (PSP) technique. RADARSAT data usually guarantee a very high spatial density of PS targets (up to 100-150 PS/km2) and a better revisiting time (24 days) with respect to ERS and ENVISAT analyses, improving significantly the chance of detecting landslide motions. The pre-existing landslide inventories of Northern Calabria (i.e. PAI – Piano per l’Assetto Idrogeologico, Hydrogeological Setting Plan, and IFFI – Inventario dei Fenomeni Franosi in Italia, Landslide Inventory in Italy), which originally included more than 850 phenomena, were merged together and then updated through the integration of ancillary data (e.g. topographic, geological, land use maps), conventional photo-interpretation of aerial and satellite optical images, and the advanced radar-interpretation of 2003-2010 PSI measures. To evaluate the state of activity and intensity of those landslides covered by PSI data, we used an innovative approach based on the exploitation of activity matrixes and intensity scales, combining the information coming from the pre-existing inventories with 2003-2010 average velocities. This approach allowed the identification of new landslides (not previously mapped through conventional geomorphologic studies), the modification of boundaries of pre-mapped phenomena, and also the assessment (or updating) of their state of activity and intensity. Radar-interpretation gave a fundamental contribution for landslide mapping in particular in urban and suburban contexts, where very high density of radar benchmarks was identified. The case study of Northern Calabria highlighted the reliability of the PSI-based approach for the updating of landslide inventories, confirming also its exportability to similar geological and geomorphologic scenarios. This work was carried out within the SAFER (Services and Applications For Emergency Response) project, funded by the European Commission within the 7th Framework Programme under the Global Monitoring for Environment and Security (EC GMES FP7) initiative.
2011
Putting Science into practice, The second World Landslide Forum Abstracts
The Second World Landslide Forum - WLF2
Rome, Italy
Bianchini S.; Cigna F.; Casagli N.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/597801
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact