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Nicola Angelo Famiglietti, Pietro Miele, Luigi Petti, Domenico Guida, Francesco Maria Guadagno, Raffaele Moschillo and Annamaria Vicari
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 synthe...
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Augusto Montisci and Maria Cristina Porcu
The proposed method is a neural-network-based tool for the early warning of ground settlement hazard in urban areas. On the basis of the analysis of MT-InSAR data through an unsupervised learning, the method can find precursors of similar time-evolving p...
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Richard Czikhardt, Juraj Papco, Matus Bakon, Pavel Liscak, Peter Ondrejka and Marian Zlocha
Multi-temporal synthetic aperture radar interferometry techniques (MT-InSAR) are nowadays a well-developed remote sensing tool for ground stability monitoring of areas afflicted by natural hazards. Its application capability has recently been emphasized ...
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