Francesca Cigna

Learn More
Geoinformation derived from Earth observation (EO) plays a key role for detecting, analyzing and monitoring landslides to assist hazard and risk analysis. Within the framework of the EC-GMES-FP7 project SAFER (Services and Applications For Emergency Response) a semi-automated object-based approach for landslide detection and classification has been(More)
Authors are listed in alphabetical order. Abstract: We processed X-band COSMO-SkyMed 3-m resolution StripMap HIMAGE time series (March 2011–June 2013) with the Stanford Method for Persistent Scatterers (StaMPS), to retrieve an updated picture of the condition and structural health of the historic centre of Rome, Italy, and neighbouring quarters. Taking(More)
This work illustrates the potential of Persistent Scatterer Interferometry (PSI) using X-band SAR (Synthetic Aperture Radar) data for a detailed detection and characterization of landslide ground displacements at local scale. We present the case study of Gimigliano, located in Calabria Region (Italy) and extensively affected by past and present landslide(More)
(a) The aim of this work is to illustrate the capabilities of advanced interferometric analyses for detection and mapping of ground deformations and their suitability for geological risk management and mitigation in urban areas. Space-borne SAR (Synthetic Aperture Radar) Interferometry (InSAR) has been successfully used in the last years to measure ground(More)