Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Marta Béjar Pizarro"'
Autor:
Guillermo Tamburini-Beliveau, Javier A. Grosso-Heredia, Marta Béjar-Pizarro, Raúl Pérez-López, Juan Portela, Martín Cismondi-Duarte, Oriol Monserrat
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract The exploitation of both conventional and unconventional hydrocarbons may lead to still not well-known environmental consequences such as ground deformation and induced/triggered seismicity. Identifying and characterizing these effects is fu
Externí odkaz:
https://doaj.org/article/4c82fae6aea841dd852ac95178de9eeb
Autor:
Jhonatan Rivera-Rivera, Marta Béjar-Pizarro, Héctor Aguilera, Carolina Guardiola-Albert, César Husillos, Pablo Ezquerro, Anna Barra, Rosa María Mateos, María Cuevas-González, Roberto Sarro, Oriol Monserrat, Mónica Martínez-Corbella, Michele Crosetto, Juan López-Vinielles
Publikováno v:
Environmental Sciences Proceedings, Vol 28, Iss 1, p 15 (2023)
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 clas
Externí odkaz:
https://doaj.org/article/7a17070e7eaf4e59953302f5a6f7bbdb
Autor:
Guillermo Tamburini‑Beliveau, Javier A. Grosso‑Heredia, Marta Béjar‑Pizarro, Raúl Pérez‑López, Juan Portela, Martín Cismondi‑Duarte, Oriol Monserrat
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-2 (2023)
Externí odkaz:
https://doaj.org/article/47df731bebc8428fb1c022a6c2095167
Autor:
Lorenzo Solari, Anna Barra, Gerardo Herrera, Silvia Bianchini, Oriol Monserrat, Marta Béjar-Pizarro, Michele Crosetto, Roberto Sarro, Sandro Moretti
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 9, Iss 1, Pp 152-174 (2018)
The detection of active movements that could threat the infrastructures and the population is one of the main priorities of the risk management chain. Interferometric Synthetic Aperture Radar (InSAR) techniques represent one of the most useful answer
Externí odkaz:
https://doaj.org/article/a129bab661544f5e8484d2fa092c8bb8
Autor:
Héctor Aguilera, Jhonatan Steven Rivera Rivera, Carolina Guardiola-Albert, Marta Béjar-Pizarro
In response to the call for collaboration, we aim to develop landslide susceptibility maps for the benchmark study area using Ensemble Machine Learning. Ensemble Learning has proven succesful for landslide susceptibility mapping in highly susceptible
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1973d7790f2f7b95c0b4c09eddf60e44
https://doi.org/10.5194/egusphere-egu23-16251
https://doi.org/10.5194/egusphere-egu23-16251
Autor:
Pablo Ezquerro Martín, Marta Béjar-Pizarro, Rosa María Mateos, Carolina Guardiola-Albert, Mónica Martínez-Corbella, Raúl Pérez López, Roberto Sarro, Héctor Aguilera-Alonso, Oriol Monserrat, Anna Barra, María Cuevas, Eleftheria Poyiadji, Jose Luis Zezere, Lidia Quental
Copernicus European Ground Motion Service (EGMS) currently provides a big amount of ground-motion data at national scale. This useful information is usually underused by management Authorities and decision-makers due to the difficulties to manage it.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2980c46befb1d1c18175c8c57118260c
https://doi.org/10.5194/egusphere-egu23-17362
https://doi.org/10.5194/egusphere-egu23-17362
Autor:
Anna Barra, María Cuevas-González, Riccardo Palamà, Qi Gao, Saeedeh Shahbazi, Marta Béjar Pizarro, Pablo Ezquerro, Guadalupe Bru Cruz, Michele Crosetto, Oriol Monserrat
The aim of this work is to present RASTOOL (EGMS RASTOOL: European ground motion risk assessment tool), a project co-financed by the EU-Union Civil Protection Mechanism. The Copernicus European Ground Motion Service (EGMS) represents a remarkable sou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00c6d36bdf23a13550f763b786cec0f6
https://doi.org/10.5194/egusphere-egu23-7576
https://doi.org/10.5194/egusphere-egu23-7576
Autor:
Jhonatan Steven Rivera Rivera, Héctor Aguilera Alonso, Juliana Arias Patiño, Carolina Guardiola Albert, Marta Béjar Pizarro
Ground deformation caused by groundwater exploitation leads to significant socio-economic losses worldwide. Driving factors such as population growth and climate change will increase these losses, especially in arid regions where droughts are becomin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76dbda3db02499a5fd4206d8b918f1f3
https://doi.org/10.5194/egusphere-egu23-15915
https://doi.org/10.5194/egusphere-egu23-15915
Autor:
Marcos Moreno-Sánchez, Jorge Pedro Galve, José Miguel Azañón, José Vicente Pérez-Peña, Marta Béjar-Pizarro, Agustín Millares, Adrián Riquelme, Anna Barra, Juan López-Vinielles, Cristina Reyes-Carmona, Pablo Ezquerro, Roberto Sarro, Patricia Ruano, Rosa María Mateos, Teresa Teixidó, Oriol Monserrat
Publikováno v:
RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)
Digital.CSIC. Repositorio Institucional del CSIC
instname
Universidad de Alicante (UA)
Digital.CSIC. Repositorio Institucional del CSIC
instname
When an active landslide is first identified in an artificial reservoir, a comprehensive study has to be quickly conducted to analyse the possible hazard that it may represent to such a critical infrastructure. This paper presents the case of the El
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1663426ef29df2fbb900958e6e2e4870
https://doi.org/10.1007/s10346-021-01728-z
https://doi.org/10.1007/s10346-021-01728-z
Publikováno v:
Remote Sensing, Vol 7, Iss 5, Pp 5300-5328 (2015)
In this work, the analysis of TerraSAR-X satellite images combining both conventional and advanced Differential Synthetic Aperture Radar Interferometry (DInSAR) approaches has proven to be effective to detect and monitor fast evolving mining subsiden
Externí odkaz:
https://doaj.org/article/e6e9f74812134bffafd78751d840963b