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Open AccessArticle

Flood Hazard Assessment Supported by Reduced Cost Aerial Precision Photogrammetry

1
TIDOP Research Group, University of Salamanca, Avda. de los Hornos Caleros, 50, 05003 Ávila, Spain
2
Department of Mining Technology, Topography and Structures, University of Leon, Avda. Astorga, s/n, 24401 Ponferrada (León), Spain
3
Department of Cartographic and Land Engineering, University of Salamanca, Avda. de los Hornos Caleros, 50, 05003 Ávila, Spain
4
Independent Hydrological Consultant, Rua Luis de Camões Lt 2, CV Dta, 2655-301 Ericeira, Portugal
5
Institute for Regional Development (IDR), University of Castilla-La Mancha, Campus Universitario s/n, 02071 Albacete, Spain
*
Author to whom correspondence should be addressed.
Remote Sens. 2018, 10(10), 1566; https://doi.org/10.3390/rs10101566
Received: 10 July 2018 / Revised: 21 September 2018 / Accepted: 25 September 2018 / Published: 1 October 2018
(This article belongs to the Special Issue Remote Sensing of Inland Waters and Their Catchments)
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. View Full-Text
Keywords: flood risk assessment; RC-APP technique; ground filtering algorithm; cloth simulation filtering (CSF) algorithm; vertical DTM-uncertainty flood risk assessment; RC-APP technique; ground filtering algorithm; cloth simulation filtering (CSF) algorithm; vertical DTM-uncertainty
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MDPI and ACS Style

Zazo, S.; Rodríguez-Gonzálvez, P.; Molina, J.-L.; González-Aguilera, D.; Agudelo-Ruiz, C.A.; Hernández-López, D. Flood Hazard Assessment Supported by Reduced Cost Aerial Precision Photogrammetry. Remote Sens. 2018, 10, 1566.

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