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    Título
    Flood Hazard Assessment Supported by Reduced Cost Aerial Precision Photogrammetry
    Autor
    Zazo, Santiago
    Rodríguez-Gonzálvez, Pablo
    Molina, Jose Luis
    González-Aguilera, Diego
    Agudelo-Ruiz, Carlos Andres
    Hernandez-Lopez, David
    Facultad/Centro
    Escuela Superior y Tecnica de Ingenieros de Minas
    Área de conocimiento
    Ingeniería Cartografica, Geodesica y Fotogrametria
    Datos de la obra
    Remote Sensing 2018, 10, 1566
    Editor
    MDPI
    Fecha
    2018-10-01
    Descripción física
    1566 p.
    Abstract
    Increasing flood hazards worldwide due to the intensification of hydrological events and the development of adaptation-mitigation strategies are key challenges that society must address. To minimize flood damages, one of the crucial factors is the identification of flood prone areas through fluvial hydraulic modelling in which a detailed knowledge of the terrain plays an important role for reliable results. Recent studies have demonstrated the suitability of the Reduced Cost Aerial Precision Photogrammetry (RC-APP) technique for fluvial applications by accurate-detailed-reliable Digital Terrain Models (DTMs, up to: 100 point/m2; vertical-uncertainty: 0.06 m). This work aims to provide an optimal relationship between point densities and vertical-uncertainties to generate more reliable fluvial hazard maps by fluvial-DTMs. This is performed through hydraulic models supported by geometric models that are obtained from a joint strategy based on Structure from Motion and Cloth Simulation Filtering algorithms. Furthermore, to evaluate vertical-DTM, uncertainty is proposed as an alternative approach based on the method of robust estimators. This offers an error dispersion value analogous to the concept of standard deviation of a Gaussian distribution without requiring normality tests. This paper reinforces the suitability of new geomatic solutions as a reliable-competitive source of accurate DTMs at the service of a flood hazard assessment.
    Materia
    Cartografía
    Palabras clave
    flood risk assessment
    RC-APP technique
    Flood risk
    Assessment
    Ground filtering algorithm
    Idioma
    eng
    Tipo documental
    info:eu-repo/semantics/article
    Peer review
    SI
    URI
    http://hdl.handle.net/10612/9278
    Collections
    • Artículos de revista (post-print) [2102]
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