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Your search keyword '"Sarro, Roberto"' showing total 4 results
Start Over Author "Sarro, Roberto" Publication Type Conference Materials
4 results on '"Sarro, Roberto"'

1. Automatic Classification of Active Deformation Areas Based on Synthetic Aperture Radar Data and Environmental Covariates Using Machine Learning—Application in SE Spain

Author

Rivera-Rivera, Jhonatan, primary, Béjar-Pizarro, Marta, additional, Aguilera, Héctor, additional, Guardiola-Albert, Carolina, additional, Husillos, César, additional, Ezquerro, Pablo, additional, Barra, Anna, additional, Mateos, Rosa María, additional, Cuevas-González, María, additional, Sarro, Roberto, additional, Monserrat, Oriol, additional, Martínez-Corbella, Mónica, additional, Crosetto, Michele, additional, and López-Vinielles, Juan, additional

Published
2023
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2. Automatic Classification of Active Deformation Areas Based on Synthetic Aperture Radar Data and Environmental Covariates Using Machine Learning—Application in SE Spain †.

Author

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

Subjects
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
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3. ADATools: a set of tools for the analysis of terrain movement maps obtained with SAR Interferometry

Author

Monserrat, Oriol, primary, Barra, Anna, additional, Reyes-Carmona, Cristina, additional, Cuevas, María, additional, Bejar-Pizarro, Marta, additional, Navarro, José, additional, Tomas, Roberto, additional, Galve, Jorge Pedro, additional, Solari, Lorenzo, additional, Sarro, Roberto, additional, Mateos, Rosa María, additional, Azañon, José Miguel, additional, Herrera, Gerardo, additional, and Crippa, Bruno, additional

Published
2022
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4. Satellite watching to unstable slopes for a safe water management: the case of the Rules Reservoir (Southern Spain)

Author

Reyes-Carmona, Cristina, primary, Galve, Jorge Pedro, additional, Barra, Anna, additional, Moreno-Sánchez, Marcos, additional, Monserrat, Oriol, additional, Riquelme, Adrián, additional, Teixidó, Teresa, additional, Ruano, Patricia, additional, Millares, Agustín, additional, Sarro, Roberto, additional, Pérez-Peña, José Vicente, additional, Ezquerro, Pablo, additional, López-Vinielles, Juan, additional, Béjar-Pizarro, Marta, additional, Azañón, José Miguel, additional, and Mateos, Rosa María, additional

Published
2022
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