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Information regarding the shape and depth of a landslide sliding surface (LSS) is fundamental for the estimation of the volume of the unstable masses, which in turn is of primary importance for the assessment of landslide magnitude and risk scenarios as well as in refining stability analyses. To assess an LSS is not an easy task and is generally time-consuming and expensive. In this work, a method existing in the literature, based on the inclination of movement vectors along a cross-section to estimate the depth and geometry LSSs, is used for the first time while exploiting satellite interferometric data. Given the advent of satellite interferometric data and the related increasing availability of spatially dense and accurate measurements, we test the effectiveness of this method—here named the vector inclination method (VIM)—to four case landslides located in Italy characterized by different types of movement, kinematics and volume. Geotechnical and geophysical information of the LSS is used to validate the method. Our results show that each of the presented cases provides useful insight into the validity of VIM using satellite interferometric data. The main advantages of VIM applied to satellite interferometry are that it enables estimation of the LSS with a theoretical worldwide coverage, as well as with no need for onsite instrumentation or even direct access; however, a good density of measurement points in both ascending and descending geometry is necessary. The combined use of VIM and traditional investigations can provide a more accurate LSS model.
Emanuele Intrieri; William Frodella; Federico Raspini; Federica Bardi; Veronica Tofani. Using Satellite Interferometry to Infer Landslide Sliding Surface Depth and Geometry. Remote Sensing 2020, 12, 1462 .
AMA StyleEmanuele Intrieri, William Frodella, Federico Raspini, Federica Bardi, Veronica Tofani. Using Satellite Interferometry to Infer Landslide Sliding Surface Depth and Geometry. Remote Sensing. 2020; 12 (9):1462.
Chicago/Turabian StyleEmanuele Intrieri; William Frodella; Federico Raspini; Federica Bardi; Veronica Tofani. 2020. "Using Satellite Interferometry to Infer Landslide Sliding Surface Depth and Geometry." Remote Sensing 12, no. 9: 1462.
A big challenge in terms or landslide risk mitigation is represented by the increasing of the resiliency of society exposed to the risk. Among the possible strategies to reach this goal, there is the implementation of early warning systems. This paper describes a procedure to improve early warning activities in areas affected by high landslide risk, such as those classified as Critical Infrastructures for their central role in society. This research is part of the project LEWIS (Landslides Early Warning Integrated System): An Integrated System for Landslide Monitoring, Early Warning and Risk Mitigation along Lifelines. LEWIS is composed of a susceptibility assessment methodology providing information for single points and areal monitoring systems, a data transmission network and a Data Collecting And Processing Center (DCPC), where readings from all monitoring systems and mathematical models converge and which sets the basis for warning and intervention activities. In this paper we will focus on the interaction between an areal monitoring tool (a ground-based interferometric radar) and the DCPC, and how issues such as big data transfer, real-time warning, line of sight correction and data validation in emergency conditions have been dealt with.
Emanuele Intrieri; Federica Bardi; Riccardo Fanti; Giovanni Gigli; Francesco Fidolini; Nicola Casagli; Sandra Costanzo; Antonio Raffo; Giuseppe Di Massa; Giovanna Capparelli; Pasquale Versace. Big data managing in a landslide Early Warning System: experience from a ground-based interferometric radar application. 2017, 2017, 1 -22.
AMA StyleEmanuele Intrieri, Federica Bardi, Riccardo Fanti, Giovanni Gigli, Francesco Fidolini, Nicola Casagli, Sandra Costanzo, Antonio Raffo, Giuseppe Di Massa, Giovanna Capparelli, Pasquale Versace. Big data managing in a landslide Early Warning System: experience from a ground-based interferometric radar application. . 2017; 2017 ():1-22.
Chicago/Turabian StyleEmanuele Intrieri; Federica Bardi; Riccardo Fanti; Giovanni Gigli; Francesco Fidolini; Nicola Casagli; Sandra Costanzo; Antonio Raffo; Giuseppe Di Massa; Giovanna Capparelli; Pasquale Versace. 2017. "Big data managing in a landslide Early Warning System: experience from a ground-based interferometric radar application." 2017, no. : 1-22.
Open image in new windowIn the spring of 2013, the Parma Province (Northern Italy) was affected by a large number of landslides, as a result of heavy and persistent rainfall occurred between January and April. This resulted in the triggering of about 1400 mapped landslides, which caused severe damages. In particular, on April 6th 2013, a large landslide activated in Tizzano Val Parma municipality. It stretches from an altitude of 980 m to about 630 m a.s.l., covering an area of 0.92 km2 with a total length of 3600 m. It is constituted by two main adjacent enlarging bodies with a roto-translational kinematics, channelizing downstream the Bardea Creek, forming an earth flow. The landslide crown area destroyed a 450 m-long sector of a provincial roadway, and its retrogression tendency put at risk the Capriglio and Pianestolla villages, located in the upper watershed area of the Bardea river. Moreover, the advancing toe threatened the Antria bridge, representing the “Massese” provincial roadway transect over the Bardea Creek. This work describes the main results of the landslide mapping and monitoring activities, conducted after the landslide trigger. With the aim of supporting local authorities in the hazard assessment and risk management, an integrated analysis of various remote sensing data was developed, in order to generate a multi-temporal mapping of the landslide, whose velocity reached values of several tens of meters per day in the first month, and several meters per day from early May to mid-July 2013. Satellite and aerial post-event images were analyzed, together with the results of field surveys, to accurately map the landslide extension and evolution. Moreover, on May 2013, a GB-InSAR (Ground Based Interferometric Synthetic Aperture Radar) monitoring campaign was started in order to assess displacements of the whole landslide area and to support early warning activities. The GB-InSAR acquired until December 2013.
Federica Bardi; Federico Raspini; William Frodella; Luca Lombardi; Massimiliano Nocentini; Giovanni Gigli; Stefano Morelli; Alessandro Corsini; Nicola Casagli; Matjaž Mikoš; Željko Arbanas; Yueping Yin; Kyoji Sassa. Remote Sensing Mapping and Monitoring of the Capriglio Landslide (Parma Province, Northern Italy). Advancing Culture of Living with Landslides 2017, 231 -238.
AMA StyleFederica Bardi, Federico Raspini, William Frodella, Luca Lombardi, Massimiliano Nocentini, Giovanni Gigli, Stefano Morelli, Alessandro Corsini, Nicola Casagli, Matjaž Mikoš, Željko Arbanas, Yueping Yin, Kyoji Sassa. Remote Sensing Mapping and Monitoring of the Capriglio Landslide (Parma Province, Northern Italy). Advancing Culture of Living with Landslides. 2017; ():231-238.
Chicago/Turabian StyleFederica Bardi; Federico Raspini; William Frodella; Luca Lombardi; Massimiliano Nocentini; Giovanni Gigli; Stefano Morelli; Alessandro Corsini; Nicola Casagli; Matjaž Mikoš; Željko Arbanas; Yueping Yin; Kyoji Sassa. 2017. "Remote Sensing Mapping and Monitoring of the Capriglio Landslide (Parma Province, Northern Italy)." Advancing Culture of Living with Landslides , no. : 231-238.
This paper presents the main results of the GB-InSAR (ground based interferometric synthetic aperture radar) monitoring of the Capriglio landslide (Northern Apennines, Emilia Romagna Region, Italy), activated on 6 April 2013. The landslide, triggered by prolonged rainfall, is constituted by two main adjacent enlarging bodies with a roto-translational kinematics. They activated in sequence and subsequently joined into a large earth flow, channelizing downstream of the Bardea Creek, for a total length of about 3600 m. The displacement rate of this combined mass was quite high, so that the landslide toe evolved with velocities of several tens of meters per day (with peaks of 70–80 m/day) in the first month, and of several meters per day (with peaks of 13–14 m/day) from early May to mid-July 2013. In the crown area, the landslide completely destroyed a 450 m sector of provincial roadway S.P. 101, and its retrogression tendency exposed the villages of Capriglio and Pianestolla, located in the upper watershed area of the Bardea Creek, to great danger. Furthermore, the advancing toe seriously threatened the Antria bridge, representing the “Massese” provincial roadway S.P. 665R transect over the Bardea Creek, the only strategic roadway left able to connect the above-mentioned villages. With the final aim of supporting local authorities in the hazard assessment and risk management during the emergency phase, on 4 May 2013 aerial optical surveys were conducted to accurately map the landslide extension and evolution. Moreover, a GB-InSAR monitoring campaign was started in order to assess displacements of the whole landslide area. The versatility and flexibility of the GB-InSAR sensors allowed acquiring data with two different configurations, designed and set up to continuously retrieve information on the landslide movement rates (both in its upper slow-moving sectors and in its fast-moving toe). The first acquisition mode revealed that the Capriglio and Pianestolla villages were affected by minor displacements (at an order of magnitude of a few millimeters per month). The second acquisition mode allowed to acquire data every 28 seconds, reaching very high temporal resolution values by applying the GB-InSAR technique.
Federica Bardi; Federico Raspini; William Frodella; Luca Lombardi; Massimiliano Nocentini; Giovanni Gigli; Stefano Morelli; Alessandro Corsini; Nicola Casagli. Monitoring the Rapid-Moving Reactivation of Earth Flows by Means of GB-InSAR: The April 2013 Capriglio Landslide (Northern Appennines, Italy). Remote Sensing 2017, 9, 165 .
AMA StyleFederica Bardi, Federico Raspini, William Frodella, Luca Lombardi, Massimiliano Nocentini, Giovanni Gigli, Stefano Morelli, Alessandro Corsini, Nicola Casagli. Monitoring the Rapid-Moving Reactivation of Earth Flows by Means of GB-InSAR: The April 2013 Capriglio Landslide (Northern Appennines, Italy). Remote Sensing. 2017; 9 (2):165.
Chicago/Turabian StyleFederica Bardi; Federico Raspini; William Frodella; Luca Lombardi; Massimiliano Nocentini; Giovanni Gigli; Stefano Morelli; Alessandro Corsini; Nicola Casagli. 2017. "Monitoring the Rapid-Moving Reactivation of Earth Flows by Means of GB-InSAR: The April 2013 Capriglio Landslide (Northern Appennines, Italy)." Remote Sensing 9, no. 2: 165.
Landslides are common phenomena that occur worldwide and are a main cause of loss of life and damage to property. The hazards associated with landslides are a challenging concern in many countries, including Italy. Over the last 15 years, an increasing number of applications have aimed to demonstrate the applicability of images captured by space-borne Synthetic Aperture Radar (SAR) sensors in slope instability investigations. InSAR (SAR interferometry) is currently one of the most exploited techniques for the assessment of ground displacements, and it is becoming a consolidated tool for Civil Protection institutions in addressing landslide risk. This paper presents a subset of the results obtained in Italy within the framework of SAR-based programmes and applications intended to test the potential application of C- and X-band satellite interferometry during different Civil Protection activities (namely prevention, prevision, emergency response and post-emergency phases) performed to manage landslide risk. Analysis of satellite SAR data is demonstrated to play a major role in the investigation of landslide-related events at different stages, including detection, mapping, monitoring, characterization and prediction. In addition, this paper also discusses the limitations that still exist and must be overcome in the coming years to manage the transition of satellite SAR systems towards complete operational use in landslide risk management practices.
Federico Raspini; Federica Bardi; Silvia Bianchini; Andrea Ciampalini; Chiara Del Ventisette; Paolo Farina; Federica Ferrigno; Lorenzo Solari; Nicola Casagli. The contribution of satellite SAR-derived displacement measurements in landslide risk management practices. Natural Hazards 2016, 86, 327 -351.
AMA StyleFederico Raspini, Federica Bardi, Silvia Bianchini, Andrea Ciampalini, Chiara Del Ventisette, Paolo Farina, Federica Ferrigno, Lorenzo Solari, Nicola Casagli. The contribution of satellite SAR-derived displacement measurements in landslide risk management practices. Natural Hazards. 2016; 86 (1):327-351.
Chicago/Turabian StyleFederico Raspini; Federica Bardi; Silvia Bianchini; Andrea Ciampalini; Chiara Del Ventisette; Paolo Farina; Federica Ferrigno; Lorenzo Solari; Nicola Casagli. 2016. "The contribution of satellite SAR-derived displacement measurements in landslide risk management practices." Natural Hazards 86, no. 1: 327-351.
This work concerns a proposal of the integration of InSAR (Interferometric Synthetic Aperture Radar) data acquired by ground-based (GB) and satellite platforms. The selected test site is the Åknes rockslide, which affects the western Norwegian coast. The availability of GB-InSAR and satellite InSAR data and the accessibility of a wide literature make the landslide suitable for testing the proposed procedure. The first step consists of the organization of a geodatabase, performed in the GIS environment, containing all of the available data. The second step concerns the analysis of satellite and GB-InSAR data, separately. Two datasets, acquired by RADARSAT-2 (related to a period between October 2008 and August 2013) and by a combination of TerraSAR-X and TanDEM-X (acquired between July 2010 and October 2012), both of them in ascending orbit, processed applying SBAS (Small BAseline Subset) method, are available. GB-InSAR data related to five different campaigns of measurements, referred to the summer seasons of 2006, 2008, 2009, 2010 and 2012, are available, as well. The third step relies on data integration, performed firstly from a qualitative point of view and later from a semi-quantitative point of view. The results of the proposed procedure have been validated by comparing them to GPS (Global Positioning System) data. The proposed procedure allowed us to better define landslide sectors in terms of different ranges of displacements. From a qualitative point of view, stable and unstable areas have been distinguished. In the sector concerning movement, two different sectors have been defined thanks to the results of the semi-quantitative integration step: the first sector, concerning displacement values higher than 10 mm, and the 2nd sector, where the displacements did not exceed a 10-mm value of displacement in the analyzed period.
Federica Bardi; Federico Raspini; Andrea Ciampalini; Lene Kristensen; Line Rouyet; Tom Rune Lauknes; Regula Frauenfelder; Nicola Casagli. Space-Borne and Ground-Based InSAR Data Integration: The Åknes Test Site. Remote Sensing 2016, 8, 237 .
AMA StyleFederica Bardi, Federico Raspini, Andrea Ciampalini, Lene Kristensen, Line Rouyet, Tom Rune Lauknes, Regula Frauenfelder, Nicola Casagli. Space-Borne and Ground-Based InSAR Data Integration: The Åknes Test Site. Remote Sensing. 2016; 8 (3):237.
Chicago/Turabian StyleFederica Bardi; Federico Raspini; Andrea Ciampalini; Lene Kristensen; Line Rouyet; Tom Rune Lauknes; Regula Frauenfelder; Nicola Casagli. 2016. "Space-Borne and Ground-Based InSAR Data Integration: The Åknes Test Site." Remote Sensing 8, no. 3: 237.
Federico Raspini; Andrea Ciampalini; Silvia Bianchini; Federica Bardi; Federico Di Traglia; Giuseppe Basile; Sandro Moretti. Updated landslide inventory of the area between the Furiano and Rosmarino creeks (Sicily, Italy). Journal of Maps 2015, 12, 1010 -1019.
AMA StyleFederico Raspini, Andrea Ciampalini, Silvia Bianchini, Federica Bardi, Federico Di Traglia, Giuseppe Basile, Sandro Moretti. Updated landslide inventory of the area between the Furiano and Rosmarino creeks (Sicily, Italy). Journal of Maps. 2015; 12 (5):1010-1019.
Chicago/Turabian StyleFederico Raspini; Andrea Ciampalini; Silvia Bianchini; Federica Bardi; Federico Di Traglia; Giuseppe Basile; Sandro Moretti. 2015. "Updated landslide inventory of the area between the Furiano and Rosmarino creeks (Sicily, Italy)." Journal of Maps 12, no. 5: 1010-1019.
Landslide geodatabases, including inventories and thematic data, today are fundamental tools for national and/or local authorities in susceptibility, hazard and risk management. A well organized landslide geo-database contains different kinds of data such as past information (landslide inventory maps), ancillary data and updated remote sensing (space-borne and ground based) data, which can be integrated in order to produce landslide susceptibility maps, updated landslide inventory maps and hazard and risk assessment maps. Italy is strongly affected by landslide phenomena which cause victims and significant economic damage to buildings and infrastructure, loss of productive soils and pasture lands. In particular, the Messina Province (southern Italy) represents an area where landslides are recurrent and characterized by high magnitude, due to several predisposing factors (e.g. morphology, land use, lithologies) and different triggering mechanisms (meteorological conditions, seismicity, active tectonics and volcanic activity). For this area, a geodatabase was created by using different monitoring techniques, including remote sensing (e.g. SAR satellite ERS1/2, ENVISAT, RADARSAT-1, TerraSAR-X, COSMO-SkyMed) data, and in situ measurements (e.g. GBInSAR, damage assessment). In this paper a complete landslide geodatabase of the Messina Province, designed following the requirements of the local and national Civil Protection authorities, is presented. This geo-database was used to produce maps (e.g. susceptibility, ground deformation velocities, damage assessment, risk zonation) which today are constantly used by the Civil Protection authorities to manage the landslide hazard of the Messina Province
Andrea Ciampalini; Federico Raspini; Silvia Bianchini; William Frodella; Federica Bardi; Daniela Lagomarsino; Federico Di Traglia; Sandro Moretti; Chiara Proietti; Paola Pagliara; Roberta Onori; Angelo Corazza; Andrea Duro; Giuseppe Basile; Nicola Casagli. Remote sensing as tool for development of landslide databases: The case of the Messina Province (Italy) geodatabase. Geomorphology 2015, 249, 103 -118.
AMA StyleAndrea Ciampalini, Federico Raspini, Silvia Bianchini, William Frodella, Federica Bardi, Daniela Lagomarsino, Federico Di Traglia, Sandro Moretti, Chiara Proietti, Paola Pagliara, Roberta Onori, Angelo Corazza, Andrea Duro, Giuseppe Basile, Nicola Casagli. Remote sensing as tool for development of landslide databases: The case of the Messina Province (Italy) geodatabase. Geomorphology. 2015; 249 ():103-118.
Chicago/Turabian StyleAndrea Ciampalini; Federico Raspini; Silvia Bianchini; William Frodella; Federica Bardi; Daniela Lagomarsino; Federico Di Traglia; Sandro Moretti; Chiara Proietti; Paola Pagliara; Roberta Onori; Angelo Corazza; Andrea Duro; Giuseppe Basile; Nicola Casagli. 2015. "Remote sensing as tool for development of landslide databases: The case of the Messina Province (Italy) geodatabase." Geomorphology 249, no. : 103-118.
Landslide geo-databases including inventories and thematic data, are today fundamental tools for national and/or local authorities in susceptibility, hazard and risk management. A well organized landslide geo-database contains different kind of data such as past information (landslide inventory maps), ancillary data and updated remote sensing (space-borne and ground based) data, which can be integrated in order to produce landslide susceptibility maps, updated landslide inventory maps and hazard and risk assessment maps. The Italian region is strongly affected by landslides phenomena which cause victims and relevant economic damages to buildings and infrastructures, loss of productive soils and pasture lands. In particular, the Messina Province (southern Italy) represents an area where landslides are recurrent and characterized by high magnitude, due to several predisposing factors (morphology, land use, lithologies) and different triggering mechanisms (meteorological conditions, seismicity, active tectonics and volcanic activity). For this area, a geo-database was created including different monitoring techniques, comprising remote sensing (e.g. SAR satellite ERS1/2, ENVISAT, RADARSAT-1, TerraSAR-X, COSMO-SkyMed) data, and in situ measurements (e.g. GBInSAR, damage assessment). In this paper a complete landslide geo-database of the Messina Province, designed following the requirements of the local and national Civil Protection Authorities is presented. This geo-database was used to produce maps (e.g. susceptibility, ground deformation velocities, damages assessment, risk zonation) which today are constantly used by the Civil Protection authorities to manage the landslide hazard of the Messina Province
Andrea Ciampalini; Federico Raspini; Silvia Bianchini; William Frodella; Federica Bardi; Daniela Lagomarsino; Federico Di Traglia; Sandro Moretti; Chiara Proietti; Paola Pagliara; Roberta Onori; Angelo Corazza; Andrea Duro; Giuseppe Basile; Nicola Casagli. The landslide geodatabase of the Messina Province: a tool in the civil protection emergency cycle. Rendiconti Online della Società Geologica Italiana 2015, 35, 70 -73.
AMA StyleAndrea Ciampalini, Federico Raspini, Silvia Bianchini, William Frodella, Federica Bardi, Daniela Lagomarsino, Federico Di Traglia, Sandro Moretti, Chiara Proietti, Paola Pagliara, Roberta Onori, Angelo Corazza, Andrea Duro, Giuseppe Basile, Nicola Casagli. The landslide geodatabase of the Messina Province: a tool in the civil protection emergency cycle. Rendiconti Online della Società Geologica Italiana. 2015; 35 ():70-73.
Chicago/Turabian StyleAndrea Ciampalini; Federico Raspini; Silvia Bianchini; William Frodella; Federica Bardi; Daniela Lagomarsino; Federico Di Traglia; Sandro Moretti; Chiara Proietti; Paola Pagliara; Roberta Onori; Angelo Corazza; Andrea Duro; Giuseppe Basile; Nicola Casagli. 2015. "The landslide geodatabase of the Messina Province: a tool in the civil protection emergency cycle." Rendiconti Online della Società Geologica Italiana 35, no. : 70-73.