13 results on '"Solari, Lorenzo"'
Search Results
2. From Satellite Images to Field Survey: A Complete Scheme of Landslide InSAR Monitoring
- Author
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Del Soldato, Matteo, Solari, Lorenzo, Festa, Davide, Confuorto, Pierluigi, Bianchini, Silvia, Casagli, Nicola, Sassa, Kyoji, Series Editor, Guzzetti, Fausto, editor, Mihalić Arbanas, Snježana, editor, Reichenbach, Paola, editor, Bobrowsky, Peter T., editor, and Takara, Kaoru, editor
- Published
- 2021
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3. Sentinel-1 InSAR Data for the Continuous Monitoring of Ground Deformation and Infrastructures at Regional Scale
- Author
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Casagli, Nicola, Bianchini, Silvia, Ciampalini, Andrea, Del Soldato, Matteo, Ezquierro, Pablo, Montalti, Roberto, Shan, Monan, Solari, Lorenzo, Raspini, Federico, and Singhroy, Vernon, editor
- Published
- 2021
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4. Persistent Scatterers continuous streaming for landslide monitoring and mapping: the case of the Tuscany region (Italy)
- Author
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Raspini, Federico, Bianchini, Silvia, Ciampalini, Andrea, Del Soldato, Matteo, Montalti, Roberto, Solari, Lorenzo, Tofani, Veronica, and Casagli, Nicola
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- 2019
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5. THE SAFETY PROJECT: SENTINEL-1 FOR THE GEOLOGICAL RISKS MANAGEMENT
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Barra, Anna, Monserrat, Oriol, Solari, Lorenzo, Herrera, Gerardo, López, Carmen, Onori, Roberta, Reichenbach, Paola, González-Alonso, Elena, Mateos, Rosa María, Bianchini, Silvia, and Crosetto, Michele
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Risk ,InSAR ,Monitoring ,Sentinel-1 ,Civil Protection ,PSI ,Geohazard ,Safety - Abstract
SAFETY (Sentinel-1 for geohazards regional monitoring and forecasting - safety.cttc.es) is a two-years research project funded under the ECHO (European Civil Protection and Humanitarian Aid Operations) call “Prevention and preparedness projects in Civil Protection and marine pollution”, which started the 1st of January 2016. The mission of the project was to improve the efforts in detecting and mapping geohazards (i.e. landslide, volcanic and subsidence), by assessing their activity and evaluating their impact on built-up areas and infrastructure networks through space-borne radar data. This goal has been achieved through the use of Sentinel-1 DInSAR (Differential Synthetic Aperture Radar Interferometry) derived products and the development of software tools. The most challenging part concerned the semi-automatic generation of derived maps to be easily interpreted and exploited in the geohazard management by the Civil Protection Authorities, which are usually not familiar with DInSAR products. This work provides an overview of the project activities, describing the developed procedure, the main outcomes, and the most significant results obtained over the two test sites of the project: the Canary Islands (Spain) and the Volterra municipality (Italy). The main goal of this work is to present the potentialities of Sentinel-1 interferometry as a regular complementary input for the regional scale risk management., Grant numbers : This work has been co-funded by the European Commission through the project Safety (Ref. ECHO/SUB/2015/718679/Prev02).
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- 2018
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6. A Sentinel-1-based clustering analysis for geo-hazards mitigation at regional scale: a case study in Central Italy.
- Author
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Montalti, Roberto, Solari, Lorenzo, Bianchini, Silvia, Del Soldato, Matteo, Raspini, Federico, and Casagli, Nicola
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ATMOSPHERIC effects on remote sensing , *EARTH currents , *ROCK deformation , *GENETIC algorithms , *GEOLOGICAL mapping , *GEOLOGY databases - Abstract
In the last decade satellite remote sensing has become an effective tool for monitoring geo-hazard-induced ground motions, and has been increasingly used by the scientific community. Direct and indirect costs due to geo-hazards are currently rising, causing serious socio-economics and casualty losses. Therefore, creating a priority list turns out to be essential to highlight the most relevant ground deformations and to better focus risk management practices at regional scale. The Sentinel-1 constellation, thanks to the 6-days repeatability and the free availability of the data, allows to easily update the geo-hazard-induced ground motions, compared to other kind of satellite sensors. In this work, a hot-spot-like method is presented by filtering a large stack of Sentinel-1 images processed by means of the SqueeSAR algorithm. Three periods, with six months repetitiveness, have been analysed in order to evaluate the behaviour and evolution of deformation clusters. The target area is Tuscany Region, located in the central part of Italy and affected by a wide gamma of geohazards, ranging from landslides to large subsidence areas. The final output is a geo-database of ground motions that can be used by regional authorities to prioritize and to effectively plan local risk reduction actions. [ABSTRACT FROM AUTHOR]
- Published
- 2019
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7. Mapping Vulnerable Urban Areas Affected by Slow-Moving Landslides Using Sentinel-1 InSAR Data.
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Béjar-Pizarro, Marta, Notti, Davide, Mateos, Rosa M., Ezquerro, Pablo, Centolanza, Giuseppe, Herrera, Gerardo, Bru, Guadalupe, Sanabria, Margarita, Solari, Lorenzo, Duro, Javier, and Fernández, José
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LANDSLIDES ,BUILDING failures ,DEFORMATION potential ,LINE-of-sight radio links - Abstract
Landslides are widespread natural hazards that generate considerable damage and economic losses worldwide. Detecting terrain movements caused by these phenomena and characterizing affected urban areas is critical to reduce their impact. Here we present a fast and simple methodology to create maps of vulnerable buildings affected by slow-moving landslides, based on two parameters: (1) the deformation rate associated to each building, measured from Sentinel-1 SAR data, and (2) the building damage generated by the landslide movement and recorded during a field campaign. We apply this method to Arcos de la Frontera, a monumental town in South Spain affected by a slow-moving landslide that has caused severe damage to buildings, forcing the evacuation of some of them. Our results show that maximum deformation rates of 4 cm/year in the line-of-sight (LOS) of the satellite, affects La Verbena, a newly-developed area, and displacements are mostly horizontal, as expected for a planar-landslide. Our building damage assessment reveals that most of the building blocks in La Verbena present moderate to severe damages. According to our vulnerability scale, 93% of the building blocks analysed present high vulnerability and, thus, should be the focus of more in-depth local studies to evaluate the serviceability of buildings, prior to adopting the necessary mitigation measures to reduce or cope with the negative consequences of this landslide. This methodology can be applied to slow-moving landslides worldwide thanks to the global availability of Sentinel-1 SAR data. [ABSTRACT FROM AUTHOR]
- Published
- 2017
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8. Sentinel-1 Big Data Processing with P-SBAS InSAR in the Geohazards Exploitation Platform: An Experiment on Coastal Land Subsidence and Landslides in Italy.
- Author
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Cigna, Francesca, Tapete, Deodato, Koch, Magaly, and Solari, Lorenzo
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LAND subsidence ,BIG data ,ELECTRONIC data processing ,SYNTHETIC aperture radar ,LANDSLIDE hazard analysis ,LANDSLIDES ,LAND cover - Abstract
The growing volume of synthetic aperture radar (SAR) imagery acquired by satellite constellations creates novel opportunities and opens new challenges for interferometric SAR (InSAR) applications to observe Earth's surface processes and geohazards. In this paper, the Parallel Small BAseline Subset (P-SBAS) advanced InSAR processing chain running on the Geohazards Exploitation Platform (GEP) is trialed to process two unprecedentedly big stacks of Copernicus Sentinel-1 C-band SAR images acquired in 2014–2020 over a coastal study area in southern Italy, including 296 and 283 scenes in ascending and descending mode, respectively. Each stack was processed in the GEP in less than 3 days, from input SAR data retrieval via repositories, up to generation of the output P-SBAS datasets of coherent targets and their displacement histories. Use-cases of long-term monitoring of land subsidence at the Capo Colonna promontory (up −2.3 cm/year vertical and −1.0 cm/year east–west rate), slow-moving landslides and erosion landforms, and deformation at modern coastal protection infrastructure in the city of Crotone are used to: (i) showcase the type and precision of deformation products outputting from P-SBAS processing of big data, and the derivable key information to support value-adding and geological interpretation; and (ii) discuss potential and challenges of big data processing using cloud/grid infrastructure. [ABSTRACT FROM AUTHOR]
- Published
- 2021
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9. Vulnerability Assessment of Buildings due to Land Subsidence Using InSAR Data in the Ancient Historical City of Pistoia (Italy).
- Author
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Ezquerro, Pablo, Del Soldato, Matteo, Solari, Lorenzo, Tomás, Roberto, Raspini, Federico, Ceccatelli, Mattia, Fernández-Merodo, José Antonio, Casagli, Nicola, and Herrera, Gerardo
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LAND subsidence ,SYNTHETIC aperture radar ,URBAN planning ,LAND use - Abstract
The launch of the medium resolution Synthetic Aperture Radar (SAR) Sentinel-1 constellation in 2014 has allowed public and private organizations to introduce SAR interferometry (InSAR) products as a valuable option in their monitoring systems. The massive stacks of displacement data resulting from the processing of large C-B and radar images can be used to highlight temporal and spatial deformation anomalies, and their detailed analysis and postprocessing to generate operative products for final users. In this work, the wide-area mapping capability of Sentinel-1 was used in synergy with the COSMO-SkyMed high resolution SAR data to characterize ground subsidence affecting the urban fabric of the city of Pistoia (Tuscany Region, central Italy). Line of sight velocities were decomposed on vertical and E–W components, observing slight horizontal movements towards the center of the subsidence area. Vertical displacements and damage field surveys allowed for the calculation of the probability of damage depending on the displacement velocity by means of fragility curves. Finally, these data were translated to damage probability and potential loss maps. These products are useful for urban planning and geohazard management, focusing on the identification of the most hazardous areas on which to concentrate efforts and resources. [ABSTRACT FROM AUTHOR]
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- 2020
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10. Monitoring Ground Instabilities Using SAR Satellite Data: A Practical Approach.
- Author
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Del Soldato, Matteo, Solari, Lorenzo, Raspini, Federico, Bianchini, Silvia, Ciampalini, Andrea, Montalti, Roberto, Ferretti, Alessandro, Pellegrineschi, Vania, and Casagli, Nicola
- Subjects
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DATA - Abstract
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. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
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11. Landslide-Induced Damage Probability Estimation Coupling InSAR and Field Survey Data by Fragility Curves.
- Author
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Del Soldato, Matteo, Solari, Lorenzo, Poggi, Francesco, Raspini, Federico, Tomás, Roberto, Fanti, Riccardo, and Casagli, Nicola
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SYNTHETIC aperture radar , *CURVES , *PROBABILITY theory - Abstract
Landslides are considered to be one of the main natural geohazards causing relevant economic damages and social effects worldwide. Italy is one of the countries worldwide most affected by landslides; in the Region of Tuscany alone, more than 100,000 phenomena are known and mapped. The possibility to recognize, investigate, and monitor these phenomena play a key role to avoid further occurrences and consequences. The number of applications of Advanced Differential Interferometric Synthetic Aperture Radar (A-DInSAR) analysis for landslides monitoring and mapping greatly increased in the last decades thanks to the technological advances and the development of advanced processing algorithms. In this work, landslide-induced damage on structures recognized and classified by field survey and velocity of displacement re-projected along the steepest slope were combined in order to extract fragility curves for the hamlets of Patigno and Coloretta, in the Zeri municipality (Tuscany, northern Italy). Images using ERS1/2, ENVISAT, COSMO-SkyMed (CSK) and Sentinel-1 SAR (Synthetic Aperture Radar) were employed to investigate an approximate 25 years of deformation affecting both hamlets. Three field surveys were conducted for recognizing, identifying, and classifying the landslide-induced damage on structures and infrastructures. At the end, the damage probability maps were designed by means of the use of the fragility curves between Sentinel-1 velocities and recorded levels of damage. The results were conceived to be useful for the local authorities and civil protection authorities to improve the land managing and, more generally, for planning mitigation strategies. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
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12. Mapping Vulnerable Urban Areas Affected by Slow-Moving Landslides Using Sentinel-1 InSAR Data
- Author
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Gerardo Herrera, Rosa María Mateos, Lorenzo Solari, José M. García Fernández, Javier Duro, Margarita Sanabria, Pablo Ezquerro, Giuseppe Centolanza, Davide Notti, Marta Béjar-Pizarro, Guadalupe Bru, Ministerio de Economía y Competitividad (España), European Commission, European Space Agency, Béjar-Pizarro, Marta [0000-0001-7449-4048], Notti, Davide [0000-0002-8256-0743], Herrera, Gerardo [0000-0002-6633-9184], Solari, Lorenzo [0000-0003-3637-2669], Béjar-Pizarro, Marta, Notti, Davide, Herrera, Gerardo, and Solari, Lorenzo
- Subjects
Moderate to severe ,Geodinámica ,010504 meteorology & atmospheric sciences ,Serviceability (structure) ,building damages ,0211 other engineering and technologies ,Terrain ,02 engineering and technology ,01 natural sciences ,riesgo natural ,InSAR ,Mining engineering ,Natural hazard ,Interferometric synthetic aperture radar ,Geotechnical engineering ,Geología ,lcsh:Science ,Field campaign ,021101 geological & geomatics engineering ,0105 earth and related environmental sciences ,Landslide ,Arcos de la Frontera ,deslizamiento terreno ,Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció [Àrees temàtiques de la UPC] ,Esllavissades ,zona urbana ,daño catástrofe natural ,General Earth and Planetary Sciences ,Environmental science ,Sentinel-1 ,lcsh:Q ,provincia Cádiz ,Landslides - Abstract
Landslides are widespread natural hazards that generate considerable damage and economic losses worldwide. Detecting terrain movements caused by these phenomena and characterizing affected urban areas is critical to reduce their impact. Here we present a fast and simple methodology to create maps of vulnerable buildings affected by slow-moving landslides, based on two parameters: (1) the deformation rate associated to each building, measured from Sentinel-1 SAR data, and (2) the building damage generated by the landslide movement and recorded during a field campaign. We apply this method to Arcos de la Frontera, a monumental town in South Spain affected by a slow-moving landslide that has caused severe damage to buildings, forcing the evacuation of some of them. Our results show that maximum deformation rates of 4 cm/year in the line-of-sight (LOS) of the satellite, affects La Verbena, a newly-developed area, and displacements are mostly horizontal, as expected for a planar-landslide. Our building damage assessment reveals that most of the building blocks in La Verbena present moderate to severe damages. According to our vulnerability scale, 93% of the building blocks analysed present high vulnerability and, thus, should be the focus of more in-depth local studies to evaluate the serviceability of buildings, prior to adopting the necessary mitigation measures to reduce or cope with the negative consequences of this landslide. This methodology can be applied to slow-moving landslides worldwide thanks to the global availability of Sentinel-1 SAR data., Geohazards InSAR laboratory and Modelling Group, Departamento de Investigación y Prospectiva Geocientífica, Instituto Geológico y Minero de España, España, Istituto di ricerca per la protezione idrogeologica, Italia, Unidad de Granada, Instituto Geológico y Minero de España, España, Dares Technology, España, Earth Observation and Geohazards Expert Group, EuroGeoSurveys, Bélgica, Instituto de Geociencias, Consejo Superior de Investigaciones Científicas, España, Instituto de Geociencias, Universidad Complutense de Madrid, España, Dipartimento di Scienze della Terra, Università degli Studi di Firenze, Italia
- Published
- 2017
13. From satellite interferometry displacements to potential damage maps: A tool for risk reduction and urban planning.
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Barra, Anna, Reyes-Carmona, Cristina, Herrera, Gerardo, Galve, Jorge Pedro, Solari, Lorenzo, Mateos, Rosa María, Azañón, Jose Miguel, Béjar-Pizarro, Marta, López-Vinielles, Juan, Palamà, Riccardo, Crosetto, Michele, Sarro, Roberto, Cuervas-Mons, José, and Monserrat, Oriol
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URBAN planning , *CONTINENTAL drift , *GENTRIFICATION , *GROUND motion , *INTERFEROMETRY , *RECEIVER operating characteristic curves , *URBAN growth , *FLOOD damage - Abstract
Persistent Scatterer Interferometry (PSI) is a consolidated tool for detecting and monitoring ground surface displacements. The availability of satellite data with free access policy and high monitoring capabilities (in terms of resolution and acquisition frequency) is increasing. Moreover, the first continental displacement map of Europe will be freely available in quarter one 2022 by the latest Copernicus Service, the European Ground Motion Service (EGMS). The EGMS will provide ground displacement maps, updated every year, delivering valuable information to a wide range of users, such as public or governmental institutions, industry, academia, and citizens. This vast amount of information needs semi-automatic tools and methodologies to derive user-oriented products that can be easily used by land use and urban planning decision-makers, who are often unfamiliar with PSI. This work proposes a semi-automatic procedure to identify damage prone areas in urban environments from wide-area PSI displacement maps. The proposed method identifies the most significant Active Deformation Areas (ADAs) to calculate three products based on the displacement intensity gradient: the Gradient Intensity Map, the Gradient Vectors and Time Series, and the Potential Damage Map. These products allow identifying buildings and urban structures exposed to potential damage, which could be followed by a more detailed building-based vulnerability and risk assessment. The methodology has been applied to an area of the province of Granada (Andalucía, Spain) but it can be applied to any other urban environment where PSI displacement maps are available. To demonstrate the advantages and limitations of the proposed method, results are discussed in five coastal resorts (Cerro Gordo, Punta de la Mona, Marina del Este, Alfa Mar, and Monte de los Almendros), strongly affected by slope movements. The methodology allowed to derive 175 ADAs from about 200,000 measurement points. About 15% of the resulting area has been found to correspond to high or very high gradient intensity class, and 192 out of 633 buildings have been identified to be prone to moderate or high potential damage. A damage prediction test has been realized through Receiver Operating Characteristic (ROC) analysis, based on a damage inventory map derived from field surveys. The results demonstrate the effectiveness of the methodology to localize damaged or potentially damaged buildings, substantially reducing the time of analysis. • A step towards the automatic exploitation of satellite interferometric (InSAR) data. • Automatic exploitation of PSI to support a multi-scale geohazard risk management. • A methodology for the automatic exploitation of EGMS continental displacement maps. • Potential Damage Maps based on spatial gradients of velocity and angular distortion. • Regional scale detection of coastal landsides causing damages in Granada Region. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
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