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Article

CAPS: A New Method for the Identification of Different Surface Displacements in Landslide and Subsidence Environments through Correlation Analysis on Persistent Scatterers Time-Series from PSI

1
Dipartimento di Scienze della Terra dell’Ambiente e della Vita (DISTAV), Università degli Studi di Genova, 16132 Genova, Italy
2
Research Institute for Geo-Hydrological Protection, National Research Council, Strada delle Cacce 73, 10135 Torino, Italy
3
Dipartimento di Fisica (DIFI), Università degli Studi di Genova, 16146 Genova, Italy
4
Sistemi Informativi Territoriali, Comune di Genova, Via di Francia 3, 16149 Genova, Italy
*
Author to whom correspondence should be addressed.
Academic Editor: Gabriel Walton
Remote Sens. 2022, 14(15), 3791; https://doi.org/10.3390/rs14153791
Received: 23 June 2022 / Revised: 2 August 2022 / Accepted: 4 August 2022 / Published: 6 August 2022
(This article belongs to the Special Issue Applications of Remote Sensing in Geological Engineering)
Persistent Scatterer Interferometry (PSI) is one of the most powerful tools for identifying and monitoring areas exposed to surface deformations such as landslides or subsidence. In this work, we propose a new method that we named CAPS (Correlation Analysis on Persistent Scatterers), to extend the capability of PSI in recognizing and characterising areas influenced by complex ground deformations and differential motions. CAPS must be applied to both ascending and descending orbits separately and comprises three major steps: (i) calculating the cross-correlation matrix on detrended PS time-series; (ii) extracting PS pairs with similarity greater than a given threshold; (iii) grouping PS in families by sorting and classification. Thus, in both orbits, PS Families identify groups of PS with similar movements. This allows distinguishing sectors characterised by different displacements over time even in areas with similar LOS (Line of Sight) velocities. As test sites, we considered four different known geological scenarios: two representing landslide environments (Santo Stefano d’Aveto and Arzeno, both in Liguria, NW Italy) and two subsidence environments (Rome and Venice, urban and surrounding areas). This method proved to be versatile, applicable to different geological situations and at different scales of observation, for recognizing both regional and local differential deformations. View Full-Text
Keywords: PSI; landslide; subsidence; Venice; Rome; WSA; time-series; cross-correlation; CAPS PSI; landslide; subsidence; Venice; Rome; WSA; time-series; cross-correlation; CAPS
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MDPI and ACS Style

Balbi, E.; Ferretti, G.; Ferrando, A.; Faccini, F.; Crispini, L.; Cianfarra, P.; Scafidi, D.; Barani, S.; Tosi, S.; Terrone, M. CAPS: A New Method for the Identification of Different Surface Displacements in Landslide and Subsidence Environments through Correlation Analysis on Persistent Scatterers Time-Series from PSI. Remote Sens. 2022, 14, 3791. https://doi.org/10.3390/rs14153791

AMA Style

Balbi E, Ferretti G, Ferrando A, Faccini F, Crispini L, Cianfarra P, Scafidi D, Barani S, Tosi S, Terrone M. CAPS: A New Method for the Identification of Different Surface Displacements in Landslide and Subsidence Environments through Correlation Analysis on Persistent Scatterers Time-Series from PSI. Remote Sensing. 2022; 14(15):3791. https://doi.org/10.3390/rs14153791

Chicago/Turabian Style

Balbi, Evandro, Gabriele Ferretti, Andrea Ferrando, Francesco Faccini, Laura Crispini, Paola Cianfarra, Davide Scafidi, Simone Barani, Silvano Tosi, and Martino Terrone. 2022. "CAPS: A New Method for the Identification of Different Surface Displacements in Landslide and Subsidence Environments through Correlation Analysis on Persistent Scatterers Time-Series from PSI" Remote Sensing 14, no. 15: 3791. https://doi.org/10.3390/rs14153791

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