Cobertura LiDAR-Fotogramétrica, batimetría y levantamiento de infraestructuras como soporte al análisis de riesgos de inundación en la subcuenca del río Genil

[EN] Floods are the natural disasters that affect the most people in the Atlantic Area. In this sense, the AA-Floods project is developed with the objective of developing and highlighting new tools, plans and regulations that improve the management and response to floods. The importance of quality a...

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Detalles Bibliográficos
Autores: Vales-Bravo, J. J., Méndez-Caballero, E. M., Prieto-Molina, R., Granado-Ruíz, L., Pino-Serrato, I., Sañudo-Costoya, E., García-Alén Lores, G., Pello-Rodríguez, A. M., Zabala-Ordóñez, A., Ortega-Díaz, E.
Tipo de recurso: artículo
Fecha de publicación:2024
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:español
OAI Identifier:oai:riunet.upv.es:10251/202442
Acceso en línea:https://riunet.upv.es/handle/10251/202442
Access Level:acceso abierto
Palabra clave:LiDAR
Fotogrametría
GNSS
Batimetría
Modelización hidráulica
Dron
Photogrammetry
Drone
Bathymetry
Hydraulic modeling
Descripción
Sumario:[EN] Floods are the natural disasters that affect the most people in the Atlantic Area. In this sense, the AA-Floods project is developed with the objective of developing and highlighting new tools, plans and regulations that improve the management and response to floods. The importance of quality altimetric information for the evaluation of flood danger is based on the fact that it requires knowledge, as detailed and precise as possible, of the relief and the heights of the elements located above the ground. To this end, the acquisition of LIDAR coverage with a density of 21 points/m² and photogrammetric coverage has been carried out to obtain Orthophotographs of 0.10 m for the generation of altimetric products with great positional accuracy and high precision in the study areas of the Genil River basin. Likewise, the bathymetric survey of the Genil River bed has been carried out and the final Topobathymetric Model has been obtained. Furthermore, for the adequate development of hydraulic modeling and determination of flood zones, it is necessary to take into consideration all those structural elements close to the channel that affect flood risk. To achieve this, a combination of geomatic techniques has been used: Classic Topography, GNSS, Lasergrammetry (LST) and Drone Photogrammetry. Analysis of flood areas has been carried out with these improved information sources, contrasting them with analysis of information sources used by the National Mapping System of flood areas. The flood sheet results for the different return periods have been contrasted with the 2010 flood sheets mapped by direct observation using Satellite Radar (SAR) technology.