5 results on '"Solari, Lorenzo"'
Search Results
2. 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
- Subjects
LANDSLIDES ,TIME series analysis ,SNOWMELT ,DATA integrity - Abstract
The results of the continuous monitoring of ground deformation throughout the Tuscany region using radar images acquired by the Sentinel-1 satellite constellation of the European Space Agency (ESA) are presented here. This new monitoring approach, based on systematic imagery processing and analysis of deformation time series, is discussed at regional (for the entire Tuscany) and at local scale in the context of a case study of the Carpineta landslide, which is a large, active earth slide in the Northern Apennines (Pistoia province). The landslide registered an acceleration during the winter and spring of 2018 as a direct consequence of rainfall and snow melt. The increase in the deformation rate of the landslide, which led to the damage of several buildings, was promptly detected and monitored due to the enhanced temporal repetitiveness offered by the Sentinel-1 constellation. The results demonstrate that advances in satellite sensors, increases in computing capacity and the refinement of processing approaches and data screening tools can contribute to the development of new paradigms in satellite-based monitoring systems. Sentinel-1 data, which are systematically acquired with short revisiting times and then promptly processed, can now be used as a tool for the systematic tracking of ground deformation at the regional scale and for the continuous monitoring of slow and very slow landslides. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
- View/download PDF
3. Mapping Vulnerable Urban Areas Affected by Slow-Moving Landslides Using Sentinel-1 InSAR Data.
- Author
-
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
- Subjects
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
- Full Text
- View/download PDF
4. 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
-
Cigna, Francesca, Tapete, Deodato, Koch, Magaly, and Solari, Lorenzo
- Subjects
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
- Full Text
- View/download PDF
5. Mapping Vulnerable Urban Areas Affected by Slow-Moving Landslides Using Sentinel-1 InSAR Data
- Author
-
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
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