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Estimation of surface displacements caused by landslides in Huancabamba, Piura, using satellite images during the period 2017-2019

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In this study we analyze and estimat the surface displacements produced by landslides in the Huancabamba city and surroundings, applying subpixel correlation processes (based on Fourier transforms) to satellite optical images (SPOT 6 and Sentinel 2) for the period 2017-2019. The results show 14 area...

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Detalles Bibliográficos
Autores: Alayo Ontón, Joel Telmo, Villegas Lanza, Juan Carlos
Formato: artículo
Fecha de Publicación:2021
Institución:Universidad Nacional Mayor de San Marcos
Repositorio:Revistas - Universidad Nacional Mayor de San Marcos
Lenguaje:español
OAI Identifier:oai:ojs.csi.unmsm:article/20805
Enlace del recurso:https://revistasinvestigacion.unmsm.edu.pe/index.php/fisica/article/view/20805
Nivel de acceso:acceso abierto
Materia:Landslide
satellite images subpixel correlation
surface displacements
Deslizamiento de tierra
correlación subpíxel de imágenes satelitales
desplazamientos superficiales
Descripción
Sumario:In this study we analyze and estimat the surface displacements produced by landslides in the Huancabamba city and surroundings, applying subpixel correlation processes (based on Fourier transforms) to satellite optical images (SPOT 6 and Sentinel 2) for the period 2017-2019. The results show 14 areas of greater surface deformation, distributed in the study area. Eleven zones show displacement magnitudes between 0.17 m and 0.83 m, with propagation velocities between 0.2x10-5 mm/s and 2.8x10-5 mm/s. While 3 zones located within urban area show some instability depicted by slow but continuous displacements with magnitudes ranging from 0.10 m to 0.25 m and velocities of 1.6x10-6 mm/s and 4.9x10-6 mm/s. To validate and correlate the results, we analyze GPS displacements measured at campaign sites and morphodynamic aspects; as well as the occurrence of local and regional seismicity and precipitation rates. This study allowed to generate and provide technical information useful to identify hazardous zones in and around Huancabamba, which serves as input for the characterization of unstable and prone to landslides, contributing to disaster risk management in that locality.
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