5 results on '"Solari, Lorenzo"'
Search Results
2. A Methodology to Detect and Update Active Deformation Areas Based on Sentinel-1 SAR Images.
- Author
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Barra, Anna, Solari, Lorenzo, Béjar-Pizarro, Marta, Monserrat, Oriol, Bianchini, Silvia, Herrera, Gerardo, Crosetto, Michele, Sarro, Roberto, González-Alonso, Elena, María Mateos, Rosa, Ligüerzana, Sergio, López, Carmen, and Moretti, Sandro
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SYNTHETIC aperture radar , *INTERFEROMETRY , *LANDSLIDES , *LAND subsidence ,GRAN Canaria (Canary Islands) - Abstract
This work is focused on deformation activity mapping and monitoring using Sentinel-1 (S-1) data and the DInSAR (Differential Interferometric Synthetic Aperture Radar) technique. The main goal is to present a procedure to periodically update and assess the geohazard activity (volcanic activity, landslides and ground-subsidence) of a given area by exploiting the wide area coverage and the high coherence and temporal sampling (revisit time up to six days) provided by the S-1 satellites. The main products of the procedure are two updatable maps: the deformation activity map and the active deformation areas map. These maps present two different levels of information aimed at different levels of geohazard risk management, from a very simplified level of information to the classical deformation map based on SAR interferometry. The methodology has been successfully applied to La Gomera, Tenerife and Gran Canaria Islands (Canary Island archipelago). The main obtained results are discussed. [ABSTRACT FROM AUTHOR]
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- 2017
- Full Text
- View/download PDF
3. Monitoring Ground Instabilities Using SAR Satellite Data: A Practical Approach.
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Del Soldato, Matteo, Solari, Lorenzo, Raspini, Federico, Bianchini, Silvia, Ciampalini, Andrea, Montalti, Roberto, Ferretti, Alessandro, Pellegrineschi, Vania, and Casagli, Nicola
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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]
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- 2019
- Full Text
- View/download PDF
4. Landslide-Induced Damage Probability Estimation Coupling InSAR and Field Survey Data by Fragility Curves.
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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
- View/download PDF
5. 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
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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
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