Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/16567
Authors: Famiglietti, Nicola Angelo* 
Miele, Pietro* 
Petti, Luigi* 
Guida, Domenico* 
Guadagno, Francesco Maria* 
Moschillo, Raffaele* 
Vicari, Annamaria* 
Title: What Have We Learned from the Past? An Analysis of Ground Deformations in Urban Areas of Palermo (Sicily, Italy) by Means of Multi-Temporal Synthetic Aperture Radar Interferometry Techniques
Journal: Geosciences 
Series/Report no.: /13 (2023)
Publisher: MDPI
Issue Date: 2-Oct-2023
DOI: 10.3390/geosciences13100298
Keywords: MT-InSAR; subsidence; urban areas; remote sensing; Palermo; permanent scatterers
Abstract: This study focuses on analyzing and monitoring urban subsidence, particularly in the city of Palermo, Italy. Land subsidence, induced by natural and human factors, poses threats to infrastructure and urban safety. Remote sensing (RS), specifically synthetic-aperture radar interferometry (In-SAR), is employed due to its ability to detect ground displacements over large areas with great precision. The persistent scatterer InSAR (PS-InSAR) technique is utilized to identify stable targets and track millimeter-level surface deformations. This research spans from October 2014 to October 2021, using Sentinel-1 satellite data to capture ground deformation from various angles. The findings are integrated into an accessible web app (ArcGIS) for local authorities that could be used aiding in urban planning and enhancing safety measures. This study’s results offer updated deformation maps, serving as an operational tool to support decision-making and community resilience, emphasizing risk awareness and responsible practices. This study highlights that the exponential expansion of urban areas, which does not take into account historical information, can gravely jeopardize both the integrity of urban infrastructure and the well-being of its inhabitants. In this context, remote sensing technologies emerge as an invaluable ally, used in monitoring and safeguarding the urban landscape.
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