Next Article in Journal
Anomalous Urban Mobility Pattern Detection Based on GPS Trajectories and POI Data
Next Article in Special Issue
Multi-Aspect Analysis of Object-Oriented Landslide Detection Based on an Extended Set of LiDAR-Derived Terrain Features
Previous Article in Journal
Modeling the Vagueness of Areal Geographic Objects: A Categorization System
Previous Article in Special Issue
Shallow Landslide Susceptibility Mapping in Sochi Ski-Jump Area Using GIS and Numerical Modelling
Open AccessArticle

Monitoring Ground Instabilities Using SAR Satellite Data: A Practical Approach

Department of Earth Sciences, University of Firenze, Via La Pira 4, 50121 Firenze, Italy
Department of Earth Sciences, University of Pisa, Via S. Maria 53, 56126 Pisa, Italy
TRE-ALTAMIRA, Ripa di Porta Ticinese 79, 20143 Milano, Italy
Genio civile Valdarno centrale e tutela delle acque, Piazza della Resistenza 54, 51100 Pistoia, Italy
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2019, 8(7), 307;
Received: 17 May 2019 / Revised: 25 June 2019 / Accepted: 12 July 2019 / Published: 17 July 2019
(This article belongs to the Special Issue Geospatial Approaches to Landslide Mapping and Monitoring)
Satellite interferometric data are widely exploited for ground motion monitoring thanks to their wide area coverage, cost efficiency and non-invasiveness. The launch of the Sentinel-1 constellation opened new horizons for interferometric applications, allowing the scientists to rethink the way in which these data are delivered, passing from a static view of the territory to a continuous streaming of ground motion measurements from space. Tuscany Region is the first worldwide example of a regional scale monitoring system based on satellite interferometric data. The processing chain here exploited combines a multi-interferometric approach with a time-series data mining algorithm aimed at recognizing benchmarks with significant trend variations. The system is capable of detecting the temporal changes of a wide variety of phenomena such as slow-moving landslides and subsidence, producing a high amount of data to be interpreted in a short time. Bulletins and reports are derived to the hydrogeological risk management actors at regional scale. The final output of the project is a list of potentially hazardous and accelerating phenomena that are verified on site by field campaign by completing a sheet survey in order to qualitatively estimate the risk and to suggest short-term actions to be taken by local entities. Two case studies, one related to landslides and one to subsidence, are proposed to highlight the potential of the monitoring system to early detect anomalous ground changes. Both examples represent a successful implementation of satellite interferometric data as monitoring and risk management tools, raising the awareness of local and regional authorities to geohazards. View Full-Text
Keywords: Sentinel-1; InSAR; satellite monitoring; landslide; subsidence; civil protection Sentinel-1; InSAR; satellite monitoring; landslide; subsidence; civil protection
Show Figures

Graphical abstract

MDPI and ACS Style

Del Soldato, M.; Solari, L.; Raspini, F.; Bianchini, S.; Ciampalini, A.; Montalti, R.; Ferretti, A.; Pellegrineschi, V.; Casagli, N. Monitoring Ground Instabilities Using SAR Satellite Data: A Practical Approach. ISPRS Int. J. Geo-Inf. 2019, 8, 307.

AMA Style

Del Soldato M, Solari L, Raspini F, Bianchini S, Ciampalini A, Montalti R, Ferretti A, Pellegrineschi V, Casagli N. Monitoring Ground Instabilities Using SAR Satellite Data: A Practical Approach. ISPRS International Journal of Geo-Information. 2019; 8(7):307.

Chicago/Turabian Style

Del Soldato, Matteo; Solari, Lorenzo; Raspini, Federico; Bianchini, Silvia; Ciampalini, Andrea; Montalti, Roberto; Ferretti, Alessandro; Pellegrineschi, Vania; Casagli, Nicola. 2019. "Monitoring Ground Instabilities Using SAR Satellite Data: A Practical Approach" ISPRS Int. J. Geo-Inf. 8, no. 7: 307.

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Search more from Scilit
Back to TopTop