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dc.contributor.authorZazo del Dedo, Santiago 
dc.contributor.authorRodríguez-Gonzálvez, Pablo
dc.contributor.authorMolina González, José Luis 
dc.contributor.authorGonzález Aguilera, Diego 
dc.contributor.authorAgudelo-Ruiz, Carlos
dc.contributor.authorHernández-López, David
dc.date.accessioned2021-06-01T09:10:46Z
dc.date.available2021-06-01T09:10:46Z
dc.date.issued2018
dc.identifier.citationRodríguez-Gonzálvez, P., Zazo, S., Molina, J. L., Gonzalez-Aguilera, D., Agudelo-Ruiz, C. A., & Hernández-López, D. (2018). Flood Hazard Assessment Supported by Reduced Cost Aerial Precision Photogrammetry. Remote Sesing, 10(10), 1566. https://doi.org/10.3390/rs10101566es_ES
dc.identifier.urihttp://hdl.handle.net/10366/146611
dc.description.abstract[EN]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.es_ES
dc.language.isoenges_ES
dc.publisherMDPI AGes_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectCloth simulation filtering (CSF) algorithmes_ES
dc.subjectFlood risk assessmentes_ES
dc.subjectGround filtering algorithmes_ES
dc.subjectRC-APP techniquees_ES
dc.subjectVertical DTM-uncertaintyes_ES
dc.titleFlood Hazard Assessment Supported by Reduced Cost Aerial Precision Photogrammetryes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publishversionhttps://doi.org/10.3390/rs10101566es_ES
dc.subject.unesco2511.03 Cartografía de Sueloses_ES
dc.identifier.doi10.3390/rs10101566
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.essn2072-4292
dc.journal.titleRemote Sensinges_ES
dc.volume.number10es_ES
dc.issue.number10es_ES
dc.page.initial1566es_ES
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones_ES


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internacional