Mostrar el registro sencillo del ítem
dc.contributor | Escuela de Ingenierias Industrial, Informática y Aeroespacial | es_ES |
dc.contributor.author | García Gutiérrez, Adrián | |
dc.contributor.author | Gonzalo de Grado, Jesús | |
dc.contributor.author | Rubio Sierra, Carlos | |
dc.contributor.author | Corvino, María Michela | |
dc.contributor.other | Ingenieria Aeroespacial | es_ES |
dc.date | 2024-04-30 | |
dc.date.accessioned | 2024-05-06T07:16:23Z | |
dc.date.available | 2024-05-06T07:16:23Z | |
dc.identifier.citation | García-Gutiérrez, A.; Gonzalo, J.; Rubio, C.; Corvino, M.M.. (2024). Estimating Landfill Landslide Probability Using SAR Satellite Products: A Novel Approach. Remote Sensing, 16(9):1618. https://doi.org/ 10.1016/j.aprim.2018.05.013 | es_ES |
dc.identifier.issn | 2072-4292 | |
dc.identifier.uri | https://hdl.handle.net/10612/20325 | |
dc.description.abstract | [EN] This article presents a methodology for evaluating the susceptibility of landfill areas to develop landslides by analyzing Synthetic Aperture Radar (SAR) satellite products. The deformation velocity of the landfills is computed through the Persistent Scatterer Method on SAR imagery. These data, combined with a deformation model based on the shallow water equations (SWE), form the foundation for a Monte Carlo experiment that extrapolates the current state of the landfill into the future. The results of this simulation are then employed to determine the probability of a landslide occurrence. In order to validate the methodology effectiveness, a case study is conducted on a landfill in Zaldibar, Spain, revealing its effectiveness in estimating the probability of landfill landslides. This innovative approach emerges as an asset in large landfill management, acting as a proactive tool for identifying high-risk sites and preventing potential landslides, ultimately safeguarding human life and the environment. By providing insights into landslide probabilities, this study enhances decision-making processes and facilitates the development of intervention strategies in the domain of landfill risk assessment and management. | es_ES |
dc.language | eng | es_ES |
dc.publisher | MDPI | es_ES |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Aeronáutica | es_ES |
dc.subject | Ingeniería aeroespacial | es_ES |
dc.subject.other | SAR | es_ES |
dc.subject.other | Landslide | es_ES |
dc.subject.other | Landfill | es_ES |
dc.subject.other | Monitoring | es_ES |
dc.subject.other | Satellite | es_ES |
dc.title | Estimating Landfill Landslide Probability Using SAR Satellite Products: A Novel Approach | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.identifier.doi | https://doi.org/10.3390/rs16091618 | |
dc.description.peerreviewed | SI | es_ES |
dc.relation.projectID | Contract No. 4000138806/22/I-DT-bgh (EOP—Future EO Open Call for Proposals) | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |
dc.journal.title | Remote Sensing | es_ES |
dc.volume.number | 16 | es_ES |
dc.issue.number | 9 | es_ES |
dc.page.initial | 1 | es_ES |
dc.page.final | 19 | es_ES |
dc.type.hasVersion | info:eu-repo/semantics/publishedVersion | es_ES |
dc.subject.unesco | 3301 Ingeniería y Tecnología Aeronáuticas | es_ES |
dc.description.project | European Space Agency | es_ES |
Ficheros en el ítem
Este ítem aparece en la(s) siguiente(s) colección(ones)
-
Artículos [5241]