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Interferometric processing of series of data acquired over time by synthetic aperture radar (SAR) satellites makes it possible to measure millimetric ground motions (typically induced by landslides, subsidence and earthquake or volcanic phenomena), and to monitor the stability of buildings and infrastructures. In this work, we present the first application of the interferometric SAR (InSAR) technology to high-resolution monitoring of ground deformations over an entire continent, based on full-resolution processing of the whole archive of past and future Sentinel-1 (S1) satellite acquisitions over most parts of Europe. The European Ground Motion Service (EGMS) is funded by the European Commission and forms an essential element of the Copernicus Land Monitoring Service (CLMS) managed by the European Environment Agency. Upscaling from existing national precursor services to pan-European scale will be challenging. Although low-resolution datasets have been recently produced at this scale, full-resolution processing is more complex, potentially revealing errors that would be disguised or suppressed otherwise at coarser scale. The project will utilise the most advanced persistent scatterer (PS) and distributed scatterer (DS) InSAR processing techniques, and a high-quality GNSS model, required to calibrate the InSAR products. To foster acceptance and a maximum/optimum use of the service by the growing Copernicus user community and the public at large, the EGMS will provide tools for visualization, exploration, analysis and download of the ground deformation measurements, as well as elements to promote best practice and user uptake.
Mario Costantini; Federico Minati; Francesco Trillo; Alessandro Ferretti; Fabrizio Novali; Emanuele Passera; John Dehls; Yngvar Larsen; Petar Marinkovic; Michael Eineder; Ramon Brcic; Robert Siegmund; Paul Kotzerke; Ambrus Kenyeres; Sergio Proietti; Lorenzo Solari; Henrik Andersen. European Ground Motion Service (EGMS). 2021, 1 .
AMA StyleMario Costantini, Federico Minati, Francesco Trillo, Alessandro Ferretti, Fabrizio Novali, Emanuele Passera, John Dehls, Yngvar Larsen, Petar Marinkovic, Michael Eineder, Ramon Brcic, Robert Siegmund, Paul Kotzerke, Ambrus Kenyeres, Sergio Proietti, Lorenzo Solari, Henrik Andersen. European Ground Motion Service (EGMS). . 2021; ():1.
Chicago/Turabian StyleMario Costantini; Federico Minati; Francesco Trillo; Alessandro Ferretti; Fabrizio Novali; Emanuele Passera; John Dehls; Yngvar Larsen; Petar Marinkovic; Michael Eineder; Ramon Brcic; Robert Siegmund; Paul Kotzerke; Ambrus Kenyeres; Sergio Proietti; Lorenzo Solari; Henrik Andersen. 2021. "European Ground Motion Service (EGMS)." , no. : 1.
A recent publication claims that closure phases in SAR interferometry bear no relationship to physical changes of the scatterer, but only to the statistical properties of the averaged pixels. We disprove this claim with a simple counterexample and remind the reader of cases in which closure phases indicate a clear physical content, including the exploitation of closure phases in other fields.
Francesco De Zan; Fabio Rocca; Alessandro Ferretti; Paco Lopez-Dekker; Michael Eineder. Comments on “Influence of the Statistical Properties of Phase and Intensity on Closure Phase”. IEEE Transactions on Geoscience and Remote Sensing 2020, 59, 6277 -6278.
AMA StyleFrancesco De Zan, Fabio Rocca, Alessandro Ferretti, Paco Lopez-Dekker, Michael Eineder. Comments on “Influence of the Statistical Properties of Phase and Intensity on Closure Phase”. IEEE Transactions on Geoscience and Remote Sensing. 2020; 59 (7):6277-6278.
Chicago/Turabian StyleFrancesco De Zan; Fabio Rocca; Alessandro Ferretti; Paco Lopez-Dekker; Michael Eineder. 2020. "Comments on “Influence of the Statistical Properties of Phase and Intensity on Closure Phase”." IEEE Transactions on Geoscience and Remote Sensing 59, no. 7: 6277-6278.
Geodetic methods comprise one class of geophysical data that are sensitive to changes in effective pressure within operating reservoirs, albeit indirectly through induced deformation. Geodetic observations, which have observation intervals that vary from seconds to days, weeks, or months, generally provide more frequent sampling compared to existing geophysical methodologies (such as seismic time-lapse monitoring), which typically invoke repeat times of months to years. These differences in sampling intervals are primarily due to the extensive effort, and hence cost, of conducting geophysical field operations, which often precludes executing a large number of surveys. Satellite-based interferometric synthetic aperture radar (InSAR) is cost effective and used in many applications, including monitoring the injection of carbon dioxide (CO2) for both long-term storage and enhanced oil production. An application to the geologic sequestration of CO2 in Algeria revealed northwest migration along a fault/fracture zone intersected by the injection well. A study in a Texas field demonstrated that enhanced oil recovery utilizing CO2 leads to observable surface deformation that may be used to characterize the sequestered CO2 and to estimate the pressure changes within the reservoir induced by injection and production.
Donald W. Vasco; Timothy H. Dixon; Alessandro Ferretti; Sergey V. Samsonov. Monitoring the fate of injected CO2 using geodetic techniques. GEOPHYSICS 2020, 39, 29 -37.
AMA StyleDonald W. Vasco, Timothy H. Dixon, Alessandro Ferretti, Sergey V. Samsonov. Monitoring the fate of injected CO2 using geodetic techniques. GEOPHYSICS. 2020; 39 (1):29-37.
Chicago/Turabian StyleDonald W. Vasco; Timothy H. Dixon; Alessandro Ferretti; Sergey V. Samsonov. 2020. "Monitoring the fate of injected CO2 using geodetic techniques." GEOPHYSICS 39, no. 1: 29-37.
We demonstrate the potential of satellite Interferometric Synthetic Aperture Radar (InSAR) to identify precursors to catastrophic slope failures. To date, early-warning has mostly relied on the availability of detailed, high-frequency data from sensors installed in situ. The same purpose could not be chased through spaceborne monitoring applications, as these could not yield information acquired in sufficiently systematic fashion. Here we present three sets of Sentinel-1 constellation images processed by means of multi-interferometric analysis. We detect clear trends of accelerating displacement prior to the catastrophic failure of three large slopes of very different nature: an open-pit mine slope, a natural rock slope in alpine terrain, and a tailings dam embankment. We determine that these events could have been located several days or weeks in advance. The results highlight that satellite InSAR may now be used to support decision making and enhance predictive ability for this type of hazard.
Tommaso Carlà; Emanuele Intrieri; Federico Raspini; Federica Bardi; Paolo Farina; Alessandro Ferretti; Davide Colombo; Fabrizio Novali; Nicola Casagli. Perspectives on the prediction of catastrophic slope failures from satellite InSAR. Scientific Reports 2019, 9, 1 -9.
AMA StyleTommaso Carlà, Emanuele Intrieri, Federico Raspini, Federica Bardi, Paolo Farina, Alessandro Ferretti, Davide Colombo, Fabrizio Novali, Nicola Casagli. Perspectives on the prediction of catastrophic slope failures from satellite InSAR. Scientific Reports. 2019; 9 (1):1-9.
Chicago/Turabian StyleTommaso Carlà; Emanuele Intrieri; Federico Raspini; Federica Bardi; Paolo Farina; Alessandro Ferretti; Davide Colombo; Fabrizio Novali; Nicola Casagli. 2019. "Perspectives on the prediction of catastrophic slope failures from satellite InSAR." Scientific Reports 9, no. 1: 1-9.
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.
Matteo Del Soldato; Lorenzo Solari; Federico Raspini; Silvia Bianchini; Andrea Ciampalini; Roberto Montalti; Alessandro Ferretti; Vania Pellegrineschi; Nicola Casagli. Monitoring Ground Instabilities Using SAR Satellite Data: A Practical Approach. ISPRS International Journal of Geo-Information 2019, 8, 307 .
AMA StyleMatteo Del Soldato, Lorenzo Solari, Federico Raspini, Silvia Bianchini, Andrea Ciampalini, Roberto Montalti, Alessandro Ferretti, Vania Pellegrineschi, Nicola Casagli. Monitoring Ground Instabilities Using SAR Satellite Data: A Practical Approach. ISPRS International Journal of Geo-Information. 2019; 8 (7):307.
Chicago/Turabian StyleMatteo Del Soldato; Lorenzo Solari; Federico Raspini; Silvia Bianchini; Andrea Ciampalini; Roberto Montalti; Alessandro Ferretti; Vania Pellegrineschi; Nicola Casagli. 2019. "Monitoring Ground Instabilities Using SAR Satellite Data: A Practical Approach." ISPRS International Journal of Geo-Information 8, no. 7: 307.
This work describes a new procedure aimed to semi-automatically identify clusters of active persistent scatterers and preliminarily associate them with different potential types of deformational processes over wide areas. This procedure consists of three main modules: (i) ADAfinder, aimed at the detection of Active Deformation Areas (ADA) using Persistent Scatterer Interferometry (PSI) data; (ii) LOS2HV, focused on the decomposition of Line Of Sight (LOS) displacements from ascending and descending PSI datasets into vertical and east-west components; iii) ADAclassifier, that semi-automatically categorizes each ADA into potential deformational processes using the outputs derived from (i) and (ii), as well as ancillary external information. The proposed procedure enables infrastructures management authorities to identify, classify, monitor and categorize the most critical deformations measured by PSI techniques in order to provide the capacity for implementing prevention and mitigation actions over wide areas against geological threats. Zeri, Campiglia Marittima–Suvereto and Abbadia San Salvatore (Tuscany, central Italy) are used as case studies for illustrating the developed methodology. Three PSI datasets derived from the Sentinel-1 constellation have been used, jointly with the geological map of Italy (scale 1:50,000), the updated Italian landslide and land subsidence maps (scale 1:25,000), a 25 m grid Digital Elevation Model, and a cadastral vector map (scale 1:5,000). The application to these cases of the proposed workflow demonstrates its capability to quickly process wide areas in very short times and a high compatibility with Geographical Information System (GIS) environments for data visualization and representation. The derived products are of key interest for infrastructures and land management as well as decision-making at a regional scale.
Roberto Tomás; José Ignacio Pagán; José A. Navarro; Miguel Cano; José Luis Pastor; Adrián Riquelme; María Cuevas-González; Michele Crosetto; Anna Barra; Oriol Monserrat; Juan M. Lopez-Sanchez; Alfredo Ramón; Salvador Ivorra; Matteo Del Soldato; Lorenzo Solari; Silvia Bianchini; Federico Raspini; Fabrizio Novali; Alessandro Ferretti; Mario Costantini; Francesco Trillo; Gerardo Herrera; Nicola Casagli. Semi-Automatic Identification and Pre-Screening of Geological–Geotechnical Deformational Processes Using Persistent Scatterer Interferometry Datasets. Remote Sensing 2019, 11, 1675 .
AMA StyleRoberto Tomás, José Ignacio Pagán, José A. Navarro, Miguel Cano, José Luis Pastor, Adrián Riquelme, María Cuevas-González, Michele Crosetto, Anna Barra, Oriol Monserrat, Juan M. Lopez-Sanchez, Alfredo Ramón, Salvador Ivorra, Matteo Del Soldato, Lorenzo Solari, Silvia Bianchini, Federico Raspini, Fabrizio Novali, Alessandro Ferretti, Mario Costantini, Francesco Trillo, Gerardo Herrera, Nicola Casagli. Semi-Automatic Identification and Pre-Screening of Geological–Geotechnical Deformational Processes Using Persistent Scatterer Interferometry Datasets. Remote Sensing. 2019; 11 (14):1675.
Chicago/Turabian StyleRoberto Tomás; José Ignacio Pagán; José A. Navarro; Miguel Cano; José Luis Pastor; Adrián Riquelme; María Cuevas-González; Michele Crosetto; Anna Barra; Oriol Monserrat; Juan M. Lopez-Sanchez; Alfredo Ramón; Salvador Ivorra; Matteo Del Soldato; Lorenzo Solari; Silvia Bianchini; Federico Raspini; Fabrizio Novali; Alessandro Ferretti; Mario Costantini; Francesco Trillo; Gerardo Herrera; Nicola Casagli. 2019. "Semi-Automatic Identification and Pre-Screening of Geological–Geotechnical Deformational Processes Using Persistent Scatterer Interferometry Datasets." Remote Sensing 11, no. 14: 1675.
C.A. Bischoff; P.J. Mason; R.C. Ghail; C. Giannico; Alessandro Ferretti. Monitoring excavation-related ground deformation in London, UK using SqueeSAR™. Tunnels and Underground Cities: Engineering and Innovation meet Archaeology, Architecture and Art 2019, 5360 -5368.
AMA StyleC.A. Bischoff, P.J. Mason, R.C. Ghail, C. Giannico, Alessandro Ferretti. Monitoring excavation-related ground deformation in London, UK using SqueeSAR™. Tunnels and Underground Cities: Engineering and Innovation meet Archaeology, Architecture and Art. 2019; ():5360-5368.
Chicago/Turabian StyleC.A. Bischoff; P.J. Mason; R.C. Ghail; C. Giannico; Alessandro Ferretti. 2019. "Monitoring excavation-related ground deformation in London, UK using SqueeSAR™." Tunnels and Underground Cities: Engineering and Innovation meet Archaeology, Architecture and Art , no. : 5360-5368.
Christine Anna Bischoff; Richard C. Ghail; Philippa J. Mason; Alessandro Ferretti; John A. Davis. Revealing millimetre-scale ground movements in London using SqueeSAR™. Quarterly Journal of Engineering Geology and Hydrogeology 2019, 53, 3 -11.
AMA StyleChristine Anna Bischoff, Richard C. Ghail, Philippa J. Mason, Alessandro Ferretti, John A. Davis. Revealing millimetre-scale ground movements in London using SqueeSAR™. Quarterly Journal of Engineering Geology and Hydrogeology. 2019; 53 (1):3-11.
Chicago/Turabian StyleChristine Anna Bischoff; Richard C. Ghail; Philippa J. Mason; Alessandro Ferretti; John A. Davis. 2019. "Revealing millimetre-scale ground movements in London using SqueeSAR™." Quarterly Journal of Engineering Geology and Hydrogeology 53, no. 1: 3-11.
We present the continuous monitoring of ground deformation at regional scale using ESA (European Space Agency) Sentinel-1constellation of satellites. We discuss this operational monitoring service through the case study of the Tuscany Region (Central Italy), selected due to its peculiar geological setting prone to ground instability phenomena. We set up a systematic processing chain of Sentinel-1 acquisitions to create continuously updated ground deformation data to mark the transition from static satellite analysis, based on the analysis of archive images, to dynamic monitoring of ground displacement. Displacement time series, systematically updated with the most recent available Sentinel-1 acquisition, are analysed to identify anomalous points (i.e., points where a change in the dynamic of motion is occurring). The presence of a cluster of persistent anomalies affecting elements at risk determines a significant level of risk, with the necessity of further analysis. Here, we show that the Sentinel-1 constellation can be used for continuous and systematic tracking of ground deformation phenomena at the regional scale. Our results demonstrate how satellite data, acquired with short revisiting times and promptly processed, can contribute to the detection of changes in ground deformation patterns and can act as a key information layer for risk mitigation.
Federico Raspini; Silvia Bianchini; Andrea Ciampalini; Matteo Del Soldato; Lorenzo Solari; Fabrizio Novali; Sara Del Conte; Alessio Rucci; Alessandro Ferretti; Nicola Casagli. Continuous, semi-automatic monitoring of ground deformation using Sentinel-1 satellites. Scientific Reports 2018, 8, 1 -11.
AMA StyleFederico Raspini, Silvia Bianchini, Andrea Ciampalini, Matteo Del Soldato, Lorenzo Solari, Fabrizio Novali, Sara Del Conte, Alessio Rucci, Alessandro Ferretti, Nicola Casagli. Continuous, semi-automatic monitoring of ground deformation using Sentinel-1 satellites. Scientific Reports. 2018; 8 (1):1-11.
Chicago/Turabian StyleFederico Raspini; Silvia Bianchini; Andrea Ciampalini; Matteo Del Soldato; Lorenzo Solari; Fabrizio Novali; Sara Del Conte; Alessio Rucci; Alessandro Ferretti; Nicola Casagli. 2018. "Continuous, semi-automatic monitoring of ground deformation using Sentinel-1 satellites." Scientific Reports 8, no. 1: 1-11.
Long-term landslide deformation is disruptive and costly in urbanized environments. We rely on TerraSAR-X satellite images (2009-2014) and an improved data processing algorithm (SqueeSARTM) to produce an exceptionally dense Interferometric Synthetic Aperture Radar (InSAR) ground deformation time series for the San Francisco East Bay Hills. Independent and Principal Component analyses of the time series reveal four distinct spatial and temporal surface deformation patterns in the area around Blakemont landslide, which we relate to different geo-mechanical processes. Two components of time-dependent landslide deformation isolate continuous motion and motion driven by precipitation-modulated pore-pressure changes controlled by annual seasonal cycles and multi-year drought conditions. Two components capturing more widespread seasonal deformation separate precipitation-modulated soil swelling from annual cycles that may be related to groundwater level changes and thermal expansion of buildings. High-resolution characterization of landslide response to precipitation is a first step toward improved hazard forecasting.
J. Cohen‐Waeber; R. Bürgmann; E. Chaussard; C. Giannico; A. Ferretti. Spatiotemporal Patterns of Precipitation‐Modulated Landslide Deformation From Independent Component Analysis of InSAR Time Series. Geophysical Research Letters 2018, 45, 1878 -1887.
AMA StyleJ. Cohen‐Waeber, R. Bürgmann, E. Chaussard, C. Giannico, A. Ferretti. Spatiotemporal Patterns of Precipitation‐Modulated Landslide Deformation From Independent Component Analysis of InSAR Time Series. Geophysical Research Letters. 2018; 45 (4):1878-1887.
Chicago/Turabian StyleJ. Cohen‐Waeber; R. Bürgmann; E. Chaussard; C. Giannico; A. Ferretti. 2018. "Spatiotemporal Patterns of Precipitation‐Modulated Landslide Deformation From Independent Component Analysis of InSAR Time Series." Geophysical Research Letters 45, no. 4: 1878-1887.
Mario Costantini; Alessandro Ferretti; Federico Minati; Salvatore Falco; Francesco Trillo; Davide Colombo; Fabrizio Novali; Fabio Malvarosa; Claudio Mammone; Francesco Vecchioli; Alessio Rucci; Alfio Fumagalli; Jacopo Allievi; Maria Grazia Ciminelli; Salvatore Costabile. Analysis of surface deformations over the whole Italian territory by interferometric processing of ERS, Envisat and COSMO-SkyMed radar data. Remote Sensing of Environment 2017, 202, 250 -275.
AMA StyleMario Costantini, Alessandro Ferretti, Federico Minati, Salvatore Falco, Francesco Trillo, Davide Colombo, Fabrizio Novali, Fabio Malvarosa, Claudio Mammone, Francesco Vecchioli, Alessio Rucci, Alfio Fumagalli, Jacopo Allievi, Maria Grazia Ciminelli, Salvatore Costabile. Analysis of surface deformations over the whole Italian territory by interferometric processing of ERS, Envisat and COSMO-SkyMed radar data. Remote Sensing of Environment. 2017; 202 ():250-275.
Chicago/Turabian StyleMario Costantini; Alessandro Ferretti; Federico Minati; Salvatore Falco; Francesco Trillo; Davide Colombo; Fabrizio Novali; Fabio Malvarosa; Claudio Mammone; Francesco Vecchioli; Alessio Rucci; Alfio Fumagalli; Jacopo Allievi; Maria Grazia Ciminelli; Salvatore Costabile. 2017. "Analysis of surface deformations over the whole Italian territory by interferometric processing of ERS, Envisat and COSMO-SkyMed radar data." Remote Sensing of Environment 202, no. : 250-275.
Post-event Interferometric Synthetic Aperture Radar (InSAR) analysis on a stack of 45 C-band SAR images acquired by the ESA Sentinel-1 satellites from 9 October 2014 to 19 June 2017 allowed the identification of a clear precursory deformation signal for the Maoxian landslide (Mao County, Sichuan Province, China). The landslide occurred in the early morning of 24 June 2017 and killed more than 100 people in the village of Xinmo. Sentinel-1 images have been processed through an advanced multi-interferogram analysis capable of maximising the density of measurement points, generating ground deformation maps and displacement time series for an area of 460 km2 straddling the Minjiang River and the Songping Gully. InSAR data clearly show the precursors of the slope failure in the source area of the Maoxian landslide, with a maximum displacement rate detected of 27 mm/year along the line of sight of the satellite. Deformation time series of measurement points identified within the main scarp of the landslide exhibit an acceleration starting from April 2017. A detailed time series analysis leads to the classification of different deformation behaviours. The Fukuzono method for forecasting the time of failure appear to be applicable to the displacement data exhibiting progressive acceleration. Results suggest that satellite radar data, systematically acquired over large areas with short revisiting time, could be used not only as a tool for mapping unstable areas, but also for landslide monitoring, at least for some typologies of sliding phenomena.
Emanuele Intrieri; Federico Raspini; Alfio Fumagalli; Ping Lu; Sara Del Conte; Paolo Farina; Jacopo Allievi; Alessandro Ferretti; Nicola Casagli. The Maoxian landslide as seen from space: detecting precursors of failure with Sentinel-1 data. Landslides 2017, 15, 123 -133.
AMA StyleEmanuele Intrieri, Federico Raspini, Alfio Fumagalli, Ping Lu, Sara Del Conte, Paolo Farina, Jacopo Allievi, Alessandro Ferretti, Nicola Casagli. The Maoxian landslide as seen from space: detecting precursors of failure with Sentinel-1 data. Landslides. 2017; 15 (1):123-133.
Chicago/Turabian StyleEmanuele Intrieri; Federico Raspini; Alfio Fumagalli; Ping Lu; Sara Del Conte; Paolo Farina; Jacopo Allievi; Alessandro Ferretti; Nicola Casagli. 2017. "The Maoxian landslide as seen from space: detecting precursors of failure with Sentinel-1 data." Landslides 15, no. 1: 123-133.
Whenever fluids are injected or extracted from a reservoir, pore pressure and stress field change both in the reservoir and in the overburden. According to geomechanics, such variation in stress or pore pressure can produce a reservoir compaction, trigger pre-existing faults or even generate new ones. Al these events will translate into surface deformation, which turns to be a valuable information to better understand the subsurface phenomena. In the last few years, the analysis of multi-temporal SAR data sets represents an important layer of information, for reservoir monitoring and management, thanks to the possibility to provide surface deformation data with millimetre precision over large areas. In order to help decision makers in analyzing different scenarios and planning specific actions it is important to update ground displacement measurements every new satellite acquisition.
A. Rucci; Alessandro Ferretti; S. Del Conte. InSAR for Ground Displacement Continous Monitoring. EAGE/SEG Research Workshop 2017 2017, 1 .
AMA StyleA. Rucci, Alessandro Ferretti, S. Del Conte. InSAR for Ground Displacement Continous Monitoring. EAGE/SEG Research Workshop 2017. 2017; ():1.
Chicago/Turabian StyleA. Rucci; Alessandro Ferretti; S. Del Conte. 2017. "InSAR for Ground Displacement Continous Monitoring." EAGE/SEG Research Workshop 2017 , no. : 1.
Simona Alberti; Alessandro Ferretti; Gabriele Leoni; Claudio Margottini; Daniele Spizzichino. Surface deformation data in the archaeological site of Petra from medium-resolution satellite radar images and SqueeSAR™ algorithm. Journal of Cultural Heritage 2017, 25, 10 -20.
AMA StyleSimona Alberti, Alessandro Ferretti, Gabriele Leoni, Claudio Margottini, Daniele Spizzichino. Surface deformation data in the archaeological site of Petra from medium-resolution satellite radar images and SqueeSAR™ algorithm. Journal of Cultural Heritage. 2017; 25 ():10-20.
Chicago/Turabian StyleSimona Alberti; Alessandro Ferretti; Gabriele Leoni; Claudio Margottini; Daniele Spizzichino. 2017. "Surface deformation data in the archaeological site of Petra from medium-resolution satellite radar images and SqueeSAR™ algorithm." Journal of Cultural Heritage 25, no. : 10-20.
The availability of long time series of interferometric data acquired all over the world from several synthetic aperture radar (SAR) satellite missions makes possible to perform a worldwide analysis of ground surface deformations and infrastructure stability by SAR interferometry. When this technology is applied to large areas, several problems have to be faced to handle huge amounts of data. In this work, we present the first example in the world of persistent scatterer (PS) SAR interferometry analysis at national scale (the whole Italian territory), performed with ERS, Envisat and COSMO-SkyMed SAR data acquired from 1992 till 2014. Moreover, we discuss the complementarity of high resolution SAR systems like COSMO-SkyMed, with the new Sentinel-1 SAR satellite, which has lower resolution but larger swath. Based on these characteristics, we explore the possible worldwide extension of our national experience.
M. Costantini; F. Minati; M. G. Ciminelli; Alessandro Ferretti; F. Novali; S. Costabile. SAR interferometry analysis of very large areas: Results over the entire Italian territory. 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2016, 2070 -2073.
AMA StyleM. Costantini, F. Minati, M. G. Ciminelli, Alessandro Ferretti, F. Novali, S. Costabile. SAR interferometry analysis of very large areas: Results over the entire Italian territory. 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). 2016; ():2070-2073.
Chicago/Turabian StyleM. Costantini; F. Minati; M. G. Ciminelli; Alessandro Ferretti; F. Novali; S. Costabile. 2016. "SAR interferometry analysis of very large areas: Results over the entire Italian territory." 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) , no. : 2070-2073.
Satellite interferometric synthetic aperture radar (InSAR) data have proven effective and valuable in the analysis of urban subsidence phenomena based on multi-temporal radar images. Results obtained by processing data acquired by different radar sensors, have shown the potential of InSAR and highlighted the key points for an operational use of this technology, namely: (1) regular acquisition over large areas of interferometric data stacks; (2) use of advanced processing algorithms, capable of estimating and removing atmospheric disturbances; (3) access to significant processing power for a regular update of the information over large areas. In this paper, we show how the operational potential of InSAR has been realized thanks to the recent advances in InSAR processing algorithms, the advent of cloud computing and the launch of new satellite platforms, specifically designed for InSAR analyses (e.g. Sentinel-1a operated by the ESA and ALOS2 operated by JAXA). The processing of thousands of SAR scenes to cover an entire nation has been performed successfully in Italy in a project financed by the Italian Ministry of the Environment. The challenge for the future is to pass from the historical analysis of SAR scenes already acquired in digital archives to a near real-time monitoring program where up to date deformation data are routinely provided to final users and decision makers.
Alessandro Ferretti; D. Colombo; A. Fumagalli; F. Novali; A. Rucci. InSAR data for monitoring land subsidence: time to think big. Proceedings of the International Association of Hydrological Sciences 2015, 372, 331 -334.
AMA StyleAlessandro Ferretti, D. Colombo, A. Fumagalli, F. Novali, A. Rucci. InSAR data for monitoring land subsidence: time to think big. Proceedings of the International Association of Hydrological Sciences. 2015; 372 ():331-334.
Chicago/Turabian StyleAlessandro Ferretti; D. Colombo; A. Fumagalli; F. Novali; A. Rucci. 2015. "InSAR data for monitoring land subsidence: time to think big." Proceedings of the International Association of Hydrological Sciences 372, no. : 331-334.
Pre- event and event landslide deformations have been detected and measured for the landslide that occurred on 3 December 2013 on the south-western slope of the Montescaglioso village (Basilicata Region, southern Italy). In this paper, ground displacements have been mapped through an integrated analysis based on a series of high resolution SAR (Synthetic Aperture Radar) images acquired by the Italian constellation of satellites COSMO-SkyMed. Analysis has been performed by exploiting both phase (through multi-image SAR interferometry) and amplitude information (through speckle tracking techniques) of the satellite images. SAR Interferometry, applied to images taken before the event, revealed a general pre-event movement, in the order of a few mm/yr, in the south-western slope of the Montescaglioso village. Highest pre-event velocities, ranging between 8 and 12 mm/yr, have been recorded in the sector of the slope where the first movement of the landslide took place. Speckle tracking, applied to images acquired before and after the event, allowed the retrieval of the 3D deformation field produced by the landslide. It also showed that ground displacements produced by the landslide have a dominant SSW component, with values exceeding 10 m for large sectors of the landslide area, with local peaks of 20 m in its central and deposit areas. Two minor landslides with a dominant SSE direction, which were detected in the upper parts of the slope, likely also occurred as secondary phenomena as consequence of the SSW movement of the main Montescaglioso landslide.
Federico Raspini; Andrea Ciampalini; Sara Del Conte; Luca Lombardi; Massimiliano Nocentini; Giovanni Gigli; Alessandro Ferretti; Nicola Casagli. Exploitation of Amplitude and Phase of Satellite SAR Images for Landslide Mapping: The Case of Montescaglioso (South Italy). Remote Sensing 2015, 7, 14576 -14596.
AMA StyleFederico Raspini, Andrea Ciampalini, Sara Del Conte, Luca Lombardi, Massimiliano Nocentini, Giovanni Gigli, Alessandro Ferretti, Nicola Casagli. Exploitation of Amplitude and Phase of Satellite SAR Images for Landslide Mapping: The Case of Montescaglioso (South Italy). Remote Sensing. 2015; 7 (11):14576-14596.
Chicago/Turabian StyleFederico Raspini; Andrea Ciampalini; Sara Del Conte; Luca Lombardi; Massimiliano Nocentini; Giovanni Gigli; Alessandro Ferretti; Nicola Casagli. 2015. "Exploitation of Amplitude and Phase of Satellite SAR Images for Landslide Mapping: The Case of Montescaglioso (South Italy)." Remote Sensing 7, no. 11: 14576-14596.
Underground gas storage in depleted hydrocarbon reservoirs, aquifers or salt caverns can be responsible for surface deformation phenomena. Monitoring surface displacements can support safe reservoir management and provide valuable constraints for modeling the dynamic behavior of a reservoir and help achieve more effective reservoir exploitation with obvious economic benefits. Satellite InSAR represents one of the most valuable and cost-effective techniques, capable of providing high precision and high areal density displacement measurements over long periods of time.
A. Tamburini; S. Del Conte; Alessandro Ferretti; A. Rucci. Monitoring Surface Deformation with Satellite InSAR - A Tool for Time Lapse Analysis of UGS. The Third Sustainable Earth Sciences Conference and Exhibition 2015, 1 .
AMA StyleA. Tamburini, S. Del Conte, Alessandro Ferretti, A. Rucci. Monitoring Surface Deformation with Satellite InSAR - A Tool for Time Lapse Analysis of UGS. The Third Sustainable Earth Sciences Conference and Exhibition. 2015; ():1.
Chicago/Turabian StyleA. Tamburini; S. Del Conte; Alessandro Ferretti; A. Rucci. 2015. "Monitoring Surface Deformation with Satellite InSAR - A Tool for Time Lapse Analysis of UGS." The Third Sustainable Earth Sciences Conference and Exhibition , no. : 1.
SAR Interfeometry (InSAR) provides high precision ground displacement measurements remotely, using Synthetic Aperture Radar (SAR) images acquired from satellites. Thanks to its effective provision of extensive information over wide areas with high acquisition frequency, InSAR monitoring is used routinely in the management of numbers of Enhanced Oil Recovery (EOR) projects. These include heavy oil Cyclic Steam Stimulation (CSS), Steam Flooding (SF) and Steam Assisted Gravity Drainage (SAGD) in Alberta and California. Steam injection recovery is generally operated in shallow reservoirs with low caprock thickness, where measuring the surface effects of pressure variations at depth is extremely useful to assess steam chest expansion and enhance safety. InSAR monitoring provides low-cost effective measurements over large areas and is capable of highlighting zones of excessive pressure or subsidence, as well as to control the integrity and safety of operations and infrastructures. This paper presents an overview of InSAR technologies and their recent enhancements. Some examples of InSAR application in EOR heavy oil projects are reported in order to highlight the advantages offered by these monitoring techniques in reservoir management and recovery optimization.
S.. Del Conte; S.. Cespa; A.. Rucci; Alessandro Ferretti. InSar Monitoring In Heavy Oil Operations. All Days 2015, 1 .
AMA StyleS.. Del Conte, S.. Cespa, A.. Rucci, Alessandro Ferretti. InSar Monitoring In Heavy Oil Operations. All Days. 2015; ():1.
Chicago/Turabian StyleS.. Del Conte; S.. Cespa; A.. Rucci; Alessandro Ferretti. 2015. "InSar Monitoring In Heavy Oil Operations." All Days , no. : 1.
The availability of long time series of interferometric data acquired all over the world from several synthetic aperture radar (SAR) satellite missions makes possible to perform a worldwide assessment of the terrain and infrastructure stability by persistent scatterer (PS) SAR interferometry techniques. This technology is computationally demanding, in particular because it requires a 3D processing. When applied to large areas, several problems have to be faced to handle huge amounts of data. In this work, we present a significant example of PS big data processing performed at national scale (the whole Italian territory) with ERS, Envisat and COSMO-SkyMed data. The main challenges and results related to this project are discussed, and the possible worldwide extension with Sentinel data is suggested.
M. Costantini; F. Minati; M. G. Ciminelli; Alessandro Ferretti; S. Costabile. Nationwide ground deformation monitoring by persistent scatterer interferometry. 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2015, 1472 -1475.
AMA StyleM. Costantini, F. Minati, M. G. Ciminelli, Alessandro Ferretti, S. Costabile. Nationwide ground deformation monitoring by persistent scatterer interferometry. 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). 2015; ():1472-1475.
Chicago/Turabian StyleM. Costantini; F. Minati; M. G. Ciminelli; Alessandro Ferretti; S. Costabile. 2015. "Nationwide ground deformation monitoring by persistent scatterer interferometry." 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) , no. : 1472-1475.