The work is focused on the exploitation of the results of a DInSAR analysis applied to ERS-ENVISAT and CSM data. The derived data are adopted to implement a multilevel analysis approach to investigate built-up areas at wide and local scales. The adopted analysis is aimed at performing: a territorial analysis to evaluate the distribution of large-scale deformation processes; an aggregated analysis applied at settlement scale to identify critical areas by providing building classification maps; a single structure damage assessment, using semi-quantitative and quantitative models to evaluate the stability of a structure and the potential damage scenarios.
Monitoring urban area by means of long term DInSAR time series / Marsella, Maria; Bonano, Manuela; Junior Valentino D'aranno, Peppe; Manunta, Michele; Ojha, Chandrakanta; Scifoni, Silvia; Scutti, Marianna; Sonnessa, Alberico. - ELETTRONICO. - 2015-:(2015), pp. 7325983.1183-7325983.1186. (Intervento presentato al convegno IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 tenutosi a Milano, Italy nel July 26-31, 2015) [10.1109/IGARSS.2015.7325983].
Monitoring urban area by means of long term DInSAR time series
Alberico Sonnessa
2015-01-01
Abstract
The work is focused on the exploitation of the results of a DInSAR analysis applied to ERS-ENVISAT and CSM data. The derived data are adopted to implement a multilevel analysis approach to investigate built-up areas at wide and local scales. The adopted analysis is aimed at performing: a territorial analysis to evaluate the distribution of large-scale deformation processes; an aggregated analysis applied at settlement scale to identify critical areas by providing building classification maps; a single structure damage assessment, using semi-quantitative and quantitative models to evaluate the stability of a structure and the potential damage scenarios.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
