Drone Based DSM Reconstruction for Flood Simulations in Small Areas: A Pilot Study

Rinaldi, Pablo R.; Larrabide, Ignacio; D‘Amato, Juan P.

doi:10.1007/978-3-030-16181-1_71

Cited by 3 publications

(3 citation statements)

References 8 publications

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“…Therefore, it concludes that micro UAVs are a useful solution for describing urban landscapes. In the literature there are more examples of the functionality of UAV images in 2D urban hydrodynamic modelling [21,22], flood risk management and emergency response [23,24], and mapping of difficult-to-access areas [25]. It is widely accepted that the UAV-derived DEM accuracy from SfM-MVS, i.e., aerial or terrestrial photogrammetry processing, is influenced by flight design and planning factors, such as GSD (ground sample distance), inclusion (or not) of oblique images, sensor and camera lens, flight pattern and georeferencing method, etc.…”

Section: Introductionmentioning

confidence: 99%

DEM Generation from Fixed-Wing UAV Imaging and LiDAR-Derived Ground Control Points for Flood Estimations

Villanueva

Martínez

Montiel

2019

Sensors

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Geospatial products, such as digital elevation models (DEMs), are important topographic tools for tackling local flood studies. This study investigates the contribution of LiDAR elevation data in DEM generation based on fixed-wing unmanned aerial vehicle (UAV) imaging for flood applications. More specifically, it assesses the accuracy of UAV-derived DEMs using the proposed LiDAR-derived control point (LCP) method in a Structure-from-Motion photogrammetry processing. Also, the flood estimates (volume and area) of the UAV terrain products are compared with a LiDAR-based reference. The applied LCP-georeferencing method achieves an accuracy comparable with other studies. In addition, it has the advantage of using semi-automatic terrain data classification and is readily applicable in flood studies. Lastly, it proves the complementarity between LiDAR and UAV photogrammetry at the local level.

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Section: Introductionmentioning

confidence: 99%

DEM Generation from Fixed-Wing UAV Imaging and LiDAR-Derived Ground Control Points for Flood Estimations

Villanueva

Martínez

Montiel

2019

Sensors

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“…The potential of UAVs systems to provide accurate data for flood modelling at fine scale and in complex environments has also been investigated (Leitão et al 2016;Langhammer et al 2017;Yalcin 2018;Rinaldi et al 2019). Their results agree on the following points:…”

Section: Data Acquisition For Numerical Flow Modellingmentioning

confidence: 65%

Geoscientists in the Sky: Unmanned Aerial Vehicles Responding to Geohazards

et al. 2020

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This article presents a review of the use of unmanned aerial vehicles (UAVs) in the context of geohazards. The pluri-disciplinary role of UAVs is outlined in numerous studies associated with mass earth movements, volcanology, flooding events and earthquakes. Scientific advances and innovations of several research teams around the world are presented from pre-events investigations to crisis management. More particularly, we emphasize the actual status of technology, methodologies and different applications that have emerged with the use of UAVs for each domain. It is shown that the deployment of UAVs in the geohazards context has experienced a tremendous increase during the last 10 years, with the development of more and more miniaturized, flexible and reliable systems. The use of such technology (UAV platform, instrumentation, methodologies) is different for each domain, depending on the spatial extent and the time scale of the observed phenomenon, but also on the practical constraints associated with the civil aviation agencies regulations (outside or within urban areas, before or during a crisis…). This paper also highlights the use of recent methodologies associated with semi-automatic/automatic segmentation or deep learning for the processing of important amounts of data provided by UAVs. Finally, although still sparse, the joint use of UAVs and satellite data is progressing and remains a challenge for future studies in the context of geohazards.

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“…Estudios recientes demuestran que los modelos digitales generados a partir de imágenes RPAS pueden ser comparables a los derivados de datos LiDAR en aplicaciones de inundaciones urbanas (Leitão et al, 2016) o fluviales (Coveney y Roberts 2017;Izumida et al 2017;. En la literatura especializada surgen ejemplos de la funcionalidad de los productos altimétricos derivados de imágenes RPAS para la modelización hidrodinámica bidimensional en subcuencas urbanas (Yalcin, 2018), y pequeñas áreas (Rinaldi et al, 2019). Otra aplicación importante que se reporta en la literatura es en la gestión del riesgo de inundación y la respuesta de emergencia (Boccardo, Chiabrando, Dutto, Tonolo, & Lingua, 2015;Hashemi-Beni, Jones, Thompson, Johnson, & Gebrehiwot, 2018), y en ríos de alta montaña de difícil acceso (Şerban et al, 2016).…”

Section: Figura 17 Control Fotogramétrico De Un Proyecto Rpas: (A) Dunclassified

Contribuciones metodológicas para la obtención de información altimétrica requerida en la evaluación local de amenazas por inundaciones a partir de nuevas tecnologías geoespaciales

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Drone Based DSM Reconstruction for Flood Simulations in Small Areas: A Pilot Study

Cited by 3 publications

References 8 publications

DEM Generation from Fixed-Wing UAV Imaging and LiDAR-Derived Ground Control Points for Flood Estimations

DEM Generation from Fixed-Wing UAV Imaging and LiDAR-Derived Ground Control Points for Flood Estimations

Geoscientists in the Sky: Unmanned Aerial Vehicles Responding to Geohazards

Contribuciones metodológicas para la obtención de información altimétrica requerida en la evaluación local de amenazas por inundaciones a partir de nuevas tecnologías geoespaciales

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