Application of photogrammetry with droness to characterize landslides.
DOI:
https://doi.org/10.46380/rias.v1i2.30Keywords:
photogrammetry, risk, slippageAbstract
The objective of the research presented is to identify and characterize the landslide in which the populated center of «Rangra» is located by remote perception. The methodology used consists of carrying out drones flights at control points in order to preserve the real relief of the area; Capture images and obtain a mosaic to identify secondary scarps, the crown of the landslide, the flanks, among others. Likewise, from this processing, the Digital Elevation Map was obtained, preparing profiles (slopes) in favor of the gravity and direction of the landslide. This serves as input for the design of the Slip Risk Assessment at a resolution of approximately 3 cm, representing reality as best as possible.
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Blanco, F. (2012). Determinación de la potencialidad de generar movimientos en masa. En A. Martínez (Ed), Manejo de riesgos de desastres ante eventos meteorológicos extremos en el valle del Mantaro, Volumen 2. (pp. 73-79). Instituto Geofísico del Perú. https://n9.cl/i0y3s
Desinventar. (2018). Base de datos DESINVENTAR. https://www.desinventar.org/es/database
Digital Global. (2018). Imágenes de satélite. https://www.digitalglobe.com/products/satellite-imagery
Martínez, A. (2012). Manejo de desastres ante eventos meteorológicos extremos en el valle del Mantaro. Resultados del proyecto MAREMEX-Mantaro, Volumen 2. Instituto Geofísico del Perú. http://repositorio.igp.gob.pe/handle/IGP/2735
Moreno, M. (2014). Umbrales de Precipitación en la generación de deslizamientos e inundaciones en los centros poblados de Jarpa, Rangra y Chamisería – Región Junín. [Tesis de grado, Universidad Nacional Federico Villarreal]. http://repositorio.unfv.edu.pe/handle/UNFV/714
Moreno, M. (2018). Evaluación de Riesgos por Deslizamientos por lluvias intensas en el centro poblado de Rangra, Distrito de Quilcas – Departamento de Junín. [Documento inédito].
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Copyright (c) 2020 Christian Ayala Jesus, Marco Andrés Moreno Tapia
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0)
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