10 results on '"López-Vinielles, Juan"'
Search Results
2. Automatic Classification of Active Deformation Areas Based on Synthetic Aperture Radar Data and Environmental Covariates Using Machine Learning—Application in SE Spain †.
- Author
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Rivera-Rivera, Jhonatan, Béjar-Pizarro, Marta, Aguilera, Héctor, Guardiola-Albert, Carolina, Husillos, César, Ezquerro, Pablo, Barra, Anna, Mateos, Rosa María, Cuevas-González, María, Sarro, Roberto, Monserrat, Oriol, Martínez-Corbella, Mónica, Crosetto, Michele, and López-Vinielles, Juan
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SYNTHETIC aperture radar ,HYDROGEOLOGY ,HAZARDS ,TIME series analysis ,MACHINE learning - Abstract
Deformation processes, both natural (e.g., subsidence, landslides, active tectonics) and induced (e.g., associated with mining, construction. groundwater exploitation), result in significant socioeconomic losses worldwide. Accurate detection and classification of these processes are crucial for effective risk management. In this study, we present a novel approach for the automatic classification of deformation processes using Interferometric Synthetic Aperture Radar (InSAR) data and machine learning techniques. Specifically, we use a decision tree-based classification algorithm to train a model capable of recognizing and distinguishing different types of deformation processes using time series of displacements, grouped into Active Deformation Areas (ADAs). We test this methodology in a large area in SE Spain. Our results demonstrate promising performance, with an Area Under the Curve (AUC) > 0.95, identifying several covariates of morphometric, geological, hydrogeological, and geotechnical nature as key factors. This automatic classification of InSAR data holds significant implications for risk management associated with ground deformation, providing a potentially valuable tool for decision makers in urban planning and land management officials. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
3. Updating Active Deformation Inventory Maps in Mining Areas by Integrating InSAR and LiDAR Datasets
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Universidad de Alicante. Departamento de Ingeniería Civil, Hu, Liuru, Tomás, Roberto, Tang, Xinming, López-Vinielles, Juan, Herrera García, Gerardo, Li, Tao, Liu, Zhiwei, Universidad de Alicante. Departamento de Ingeniería Civil, Hu, Liuru, Tomás, Roberto, Tang, Xinming, López-Vinielles, Juan, Herrera García, Gerardo, Li, Tao, and Liu, Zhiwei
- Abstract
Slope failures, subsidence, earthworks, consolidation of waste dumps, and erosion are typical active deformation processes that pose a significant hazard in current and abandoned mining areas, given their considerable potential to produce damage and affect the population at large. This work proves the potential of exploiting space-borne InSAR and airborne LiDAR techniques, combined with data inferred through a simple slope stability geotechnical model, to obtain and update inventory maps of active deformations in mining areas. The proposed approach is illustrated by analyzing the region of Sierra de Cartagena-La Union (Murcia), a mountainous mining area in southeast Spain. Firstly, we processed Sentinel-1 InSAR imagery acquired both in ascending and descending orbits covering the period from October 2016 to November 2021. The obtained ascending and descending deformation velocities were then separately post-processed to semi-automatically generate two active deformation areas (ADA) maps by using ADATool. Subsequently, the PS-InSAR LOS displacements of the ascending and descending tracks were decomposed into vertical and east-west components. Complementarily, open-access, and non-customized LiDAR point clouds were used to analyze surface changes and movements. Furthermore, a slope stability safety factor (SF) map was obtained over the study area adopting a simple infinite slope stability model. Finally, the InSAR-derived maps, the LiDAR-derived map, and the SF map were integrated to update a previously published landslides’ inventory map and to perform a preliminary classification of the different active deformation areas with the support of optical images and a geological map. Complementarily, a level of activity index is defined to state the reliability of the detected ADA. A total of 28, 19, 5, and 12 ADAs were identified through ascending, descending, horizontal, and vertical InSAR datasets, respectively, and 58 ADAs from the LiDAR change detection map. The subse
- Published
- 2023
4. Assessment of the Socio-Economic Impacts of Extreme Weather Events on the Coast of Southwest Europe during the Period 2009–2020.
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Mateos, Rosa María, Sarro, Roberto, Díez-Herrero, Andrés, Reyes-Carmona, Cristina, López-Vinielles, Juan, Ezquerro, Pablo, Martínez-Corbella, Mónica, Bru, Guadalupe, Luque, Juan Antonio, Barra, Anna, Martín, Pedro, Millares, Agustín, Ortega, Miguel, López, Alejandro, Galve, Jorge Pedro, Azañón, José Miguel, Pereira, Susana, Santos, Pedro Pinto, Zêzere, José Luís, and Reis, Eusébio
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EXTREME weather ,COASTS ,URBAN growth ,DAMAGES (Law) ,EMERGENCY management ,CYCLONES - Abstract
Coastal regions in Southwest Europe have experienced major interventions and transformations of the territory with unprecedented urban development, primarily related to growing tourism activity. The coast is the place where marine and terrestrial processes converge, making it highly vulnerable to the effects of climate change. However, the lack of information on the frequency of these extreme weather events and their impacts on the coast hampers an accurate analysis of the consequences of global change. This paper provides a detailed analysis of the extreme weather events (EWE) that have affected the Atlantic and Mediterranean coasts of Southwest Europe during the period from 1 January 2009 to 28 February 2020, as well as a quantification of their impacts: fatalities, injuries and economic damage. Official sources from France, Portugal and Spain were consulted, along with technical reports, scientific articles, etc., to generate a unified database. A total of 95 significant extreme events have caused 168 fatalities, 137 injuries and almost €4000 M in direct economic losses. Cyclone Xynthia (February 2010) on the French Atlantic coast stands out, having caused 47 fatalities, 79 injuries and substantial economic losses valued at €3000 M. The study shows a slight upward trend in the number of events recorded, especially during the last three years of the analysis, as well as in human losses and damages. The results reveal a higher exposure of the Mediterranean coast of Southwest Europe when compared to the Atlantic, especially the Spanish Mediterranean coast, with 61% of the fatalities recorded there during the study period. This is primarily due to a model of exponential tourism growth on the Mediterranean coast, with an enormous urban and infrastructure development during the last decades. Traditionally, the Mediterranean coast is less prepared to reduce the effects of marine storms, extreme events that are becoming more frequent and virulent in the context of climate and global change. This work highlights the need to create a continuous monitoring system–at the European level–of the impacts of extreme weather events on the coast, where 40% of the European population is concentrated. This observatory should serve as a source of information for risk mitigation policies (predictive, preventive and corrective), as well as for emergency management during disasters. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
5. Updating Active Deformation Inventory Maps in Mining Areas by Integrating InSAR and LiDAR Datasets.
- Author
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Hu, Liuru, Tomás, Roberto, Tang, Xinming, López Vinielles, Juan, Herrera, Gerardo, Li, Tao, and Liu, Zhiwei
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LANDSLIDES ,MINE subsidences ,LIDAR ,GEOLOGICAL maps ,SLOPE stability ,MINES & mineral resources - Abstract
Slope failures, subsidence, earthworks, consolidation of waste dumps, and erosion are typical active deformation processes that pose a significant hazard in current and abandoned mining areas, given their considerable potential to produce damage and affect the population at large. This work proves the potential of exploiting space-borne InSAR and airborne LiDAR techniques, combined with data inferred through a simple slope stability geotechnical model, to obtain and update inventory maps of active deformations in mining areas. The proposed approach is illustrated by analyzing the region of Sierra de Cartagena-La Union (Murcia), a mountainous mining area in southeast Spain. Firstly, we processed Sentinel-1 InSAR imagery acquired both in ascending and descending orbits covering the period from October 2016 to November 2021. The obtained ascending and descending deformation velocities were then separately post-processed to semi-automatically generate two active deformation areas (ADA) maps by using ADATool. Subsequently, the PS-InSAR LOS displacements of the ascending and descending tracks were decomposed into vertical and east-west components. Complementarily, open-access, and non-customized LiDAR point clouds were used to analyze surface changes and movements. Furthermore, a slope stability safety factor (SF) map was obtained over the study area adopting a simple infinite slope stability model. Finally, the InSAR-derived maps, the LiDAR-derived map, and the SF map were integrated to update a previously published landslides' inventory map and to perform a preliminary classification of the different active deformation areas with the support of optical images and a geological map. Complementarily, a level of activity index is defined to state the reliability of the detected ADA. A total of 28, 19, 5, and 12 ADAs were identified through ascending, descending, horizontal, and vertical InSAR datasets, respectively, and 58 ADAs from the LiDAR change detection map. The subsequent preliminary classification of the ADA enabled the identification of eight areas of consolidation of waste dumps, 11 zones in which earthworks were performed, three areas affected by erosion processes, 17 landslides, two mining subsidence zone, seven areas affected by compound processes, and 23 possible false positive ADAs. The results highlight the effectiveness of these two remote sensing techniques (i.e., InSAR and LiDAR) in conjunction with simple geotechnical models and with the support of orthophotos and geological information to update inventory maps of active deformation areas in mining zones. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
6. ADAtools: Automatic Detection and Classification of Active Deformation Areas from PSI Displacement Maps
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Universidad de Alicante. Departamento de Ingeniería Civil, Navarro, José A., Tomás, Roberto, Barra, Anna, Pagán, José Ignacio, Reyes-Carmona, Cristina, Solari, Lorenzo, López-Vinielles, Juan, Falco, Salvatore, Crosetto, Michele, Universidad de Alicante. Departamento de Ingeniería Civil, Navarro, José A., Tomás, Roberto, Barra, Anna, Pagán, José Ignacio, Reyes-Carmona, Cristina, Solari, Lorenzo, López-Vinielles, Juan, Falco, Salvatore, and Crosetto, Michele
- Abstract
This work describes the set of tools developed, tested, and put into production in the context of the H2020 project Multi-scale Observation and Monitoring of Railway Infrastructure Threats (MOMIT). This project, which ended in 2019, aimed to show how the use of various remote sensing techniques could help to improve the monitoring of railway infrastructures, such as tracks or bridges, and thus, consequently, improve the detection of ground instabilities and facilitate their management. Several lines of work were opened by MOMIT, but the authors of this work concentrated their efforts in the design of tools to help the detection and identification of ground movements using synthetic aperture radar interferometry (InSAR) data. The main output of this activity was a set of tools able to detect the areas labelled active deformation areas (ADA), with the highest deformation rates and to connect them to a geological or anthropogenic process. ADAtools is the name given to the aforementioned set of tools. The description of these tools includes the definition of their targets, inputs, and outputs, as well as details on how the correctness of the applications was checked and on the benchmarks showing their performance. The ADAtools include the following applications: ADAfinder, los2hv, ADAclassifier, and THEXfinder. The toolset is targeted at the analysis and interpretation of InSAR results. Ancillary information supports the semi-automatic interpretation and classification process. Two real use-cases illustrating this statement are included at the end of this paper to show the kind of results that may be obtained with the ADAtools.
- Published
- 2020
7. An Integration of UAV-Based Photogrammetry and 3D Modelling for Rockfall Hazard Assessment: The Cárcavos Case in 2018 (Spain).
- Author
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Gallo, Ilenia G., Martínez-Corbella, Mónica, Sarro, Roberto, Iovine, Giulio, López-Vinielles, Juan, Hérnandez, Mario, Robustelli, Gaetano, Mateos, Rosa María, and García-Davalillo, Juan Carlos
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ROCKFALL ,RISK assessment ,PHOTOGRAMMETRY ,POINT cloud - Abstract
An example of the combined use of UAV photogrammetry and rockfall numerical simulation is described. A case of fragmental rockfall occurred on 17 November 2018 in Cárcavos, a site located in the Spanish municipality of Ayna (Albacete). The event caused a great social alarm as some infrastructure was affected. By using Unmanned Aerial Vehicle (UAV) photogrammetry, a high-resolution 3D model has been generated from point cloud data, and distribution and size of the fragmented rocks (more than 600 boulders) determined. The analysis has been performed through numerical simulations to: (1) reproduce the paths followed by the real blocks; and (2) estimate the speed and energy of the blocks, together with their heights, impacts and stopping points. Accordingly, source areas have been identified, including the potential source areas and unstable blocks on the slope. In addition, the exposed elements at risk (buildings, facilities, infrastructures, etc.) have been identified, and the effectiveness of mitigation measures against future events evaluated. [ABSTRACT FROM AUTHOR]
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- 2021
- Full Text
- View/download PDF
8. Combining Satellite InSAR, Slope Units and Finite Element Modeling for Stability Analysis in Mining Waste Disposal Areas.
- Author
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López-Vinielles, Juan, Fernández-Merodo, José A., Ezquerro, Pablo, García-Davalillo, Juan C., Sarro, Roberto, Reyes-Carmona, Cristina, Barra, Anna, Navarro, José A., Krishnakumar, Vrinda, Alvioli, Massimiliano, Herrera, Gerardo, Witkowski, Wojciech T., and Chang, Ling
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MINE waste , *STRIP mining , *WASTE management , *RADAR interferometry , *SLOPE stability , *TAILINGS dams - Abstract
Slope failures pose a substantial threat to mining activity due to their destructive potential and high probability of occurrence on steep slopes close to limit equilibrium conditions, which are often found both in open pits and in waste and tailing disposal facilities. The development of slope monitoring and modeling programs usually entails the exploitation of in situ and remote sensing data, together with the application of numerical modeling, and it plays an important role in the definition of prevention and mitigation measures aimed at minimizing the impact of slope failures in mining areas. In this paper, a new methodology is presented; one that combines satellite radar interferometry and 2D finite element modeling for slope stability analysis at a regional scale, and applied within slope unit polygons. Although the literature includes many studies applying radar interferometry and modeling for slope stability analysis, the addition of slope units as input data for radar interferometry and modeling purposes has, to our knowledge, not previously been reported. A former mining area in southeast Spain was studied, and the method proved useful for detecting and characterizing a large number of unstable slopes. Out of the 1959 slope units used for the spatial analysis of the radar interferometry data, 43 were unstable, with varying values of safety factor and landslide size. Out of the 43 active slope units, 21 exhibited line of sight velocities greater than the maximum error obtained through validation analysis (2.5 cm/year). Finally, this work discusses the possibility of using the results of the proposed approach to devise a proxy for landslide hazard. The proposed methodology can help to provide non-expert final users with intelligible, clear, and easily comparable information to analyze slope instabilities in different settings, and not limited to mining areas. [ABSTRACT FROM AUTHOR]
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- 2021
- Full Text
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9. Sentinel-1 A-DInSAR Approaches to Map and Monitor Ground Displacements.
- Author
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Krishnakumar, Vrinda, Qiu, Zhiwei, Monserrat, Oriol, Barra, Anna, López-Vinielles, Juan, Reyes-Carmona, Cristina, Gao, Qi, Cuevas-González, Maria, Palamà, Riccardo, Crippa, Bruno, and Gili, Jose Antonio
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SYNTHETIC aperture radar ,DEFORMATION potential ,TERRAIN mapping ,PERFORMANCE standards ,INTERFEROMETRY - Abstract
Persistent scatterer interferometry (PSI) is a group of advanced interferometric synthetic aperture radar (SAR) techniques used to measure and monitor terrain deformation. Sentinel-1 has improved the data acquisition throughout and, compared to previous sensors, increased considerably the differential interferometric SAR (DInSAR) and PSI deformation monitoring potential. The low density of persistent scatterer (PS) in non-urban areas is a critical issue in DInSAR and has inspired the development of alternative approaches and refinement of the PS chains. This paper proposes two different and complementary data-driven procedures to obtain terrain deformation maps. These approaches aim to exploit Sentinel-1 highly coherent interferograms and their short revisit time. The first approach, called direct integration (DI), aims at providing a very fast and straightforward approach to screen-wide areas and easily detects active areas. This approach fully exploits the coherent interferograms from consecutive images provided by Sentinel-1, resulting in a very high sampling density. However, it lacks robustness and its usability lays on the operator experience. The second method, called persistent scatterer interferometry geomatics (PSIG) short temporal baseline, provides a constrained application of the PSIG chain, the CTTC approach to the PSI. It uses short temporal baseline interferograms and does not assume any deformation model for point selection. It is also quite a straightforward approach, which improves the performances of the standard PSIG approach, increasing the PS density and providing robust measurements. The effectiveness of the approaches is illustrated through analyses performed on different test sites. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
10. Sentinel-1 DInSAR for Monitoring Active Landslides in Critical Infrastructures: The Case of the Rules Reservoir (Southern Spain).
- Author
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Reyes-Carmona, Cristina, Barra, Anna, Galve, Jorge Pedro, Monserrat, Oriol, Pérez-Peña, José Vicente, Mateos, Rosa María, Notti, Davide, Ruano, Patricia, Millares, Agustín, López-Vinielles, Juan, and Azañón, José Miguel
- Subjects
LANDSLIDES ,RADAR interferometry ,SYNTHETIC aperture radar ,RESERVOIRS ,WATER depth ,IMAGE analysis - Abstract
Landslides in reservoir contexts are a well-recognised hazard that may lead to dangerous situations regarding infrastructures and people's safety. Satellite-based radar interferometry is proving to be a reliable method to monitor the activity of landslides in such contexts. Here, we present a DInSAR (Differential Interferometric Synthetic Aperture Radar) analysis of Sentinel-1 images that exemplifies the usefulness of the technique to recognize and monitor landslides in the Rules Reservoir (Southern Spain). The integration of DInSAR results with a comprehensive geomorphological study allowed us to understand the typology, evolution and triggering factors of three active landslides: Lorenzo-1, Rules Viaduct and El Arrecife. We could distinguish between rotational and translational landslides and, thus, we evaluated the potential hazards related to these typologies, i.e., retrogression (Lorenzo-1 and Rules Viaduct landslides) or catastrophic slope failure (El Arrecife Landslide), respectively. We also observed how changes in the water level of the reservoir influence the landslide's behaviour. Additionally, we were able to monitor the stability of the Rules Dam as well as detect the deformation of a highway viaduct that crosses a branch of the reservoir. Overall, we consider that other techniques must be applied to continue monitoring the movements, especially in the El Arrecife Landslide, in order to avoid future structural damages and fatalities. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
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