Drones as tools for monitoring beach topography changes in the Ligurian Sea (NW Mediterranean)

Casella, Elisa; Rovere, Alessio; Pedroncini, Andrea; Stark, C. P.; Casella, Marco; Ferrari, Marco; Firpo, Marco

doi:10.1007/s00367-016-0435-9

Cited by 154 publications

(117 citation statements)

References 51 publications

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“…Limited by the meteorological conditions (wind speed inferior to 70-80 km/h and no rain) and the study area size (typically of the order of 1km²), UAV and photogrammetric process present advantage to generate 3D point cloud and Digital Surface Model (DSM) with accuracy closed to LiDAR DSM (Haala, 2009). Several studies have demonstrated the performance of this survey process on coastal areas (Casella et al, 2016;Gonçalves and Henriques, 2015;Casella et al, 2014;Mancini et al, 2013) with a vertical accuracy of the DEM around +/-10 cm.…”

Section: Introductionmentioning

confidence: 96%

Accuracy Assessment of Coastal Topography Derived From Uav Images

Long

Millescamps

Pouget

et al. 2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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To monitor coastal environments, Unmanned Aerial Vehicle (UAV) is a low-cost and easy to use solution to enable data acquisition with high temporal frequency and spatial resolution. Compared to Light Detection And Ranging (LiDAR) or Terrestrial Laser Scanning (TLS), this solution produces Digital Surface Model (DSM) with a similar accuracy. To evaluate the DSM accuracy on a coastal environment, a campaign was carried out with a flying wing (eBee) combined with a digital camera. Using the Photoscan software and the photogrammetry process (Structure From Motion algorithm), a DSM and an orthomosaic were produced. Compared to GNSS surveys, the DSM accuracy is estimated. Two parameters are tested: the influence of the methodology (number and distribution of Ground Control Points, GCPs) and the influence of spatial image resolution (4.6 cm vs 2 cm). The results show that this solution is able to reproduce the topography of a coastal area with a high vertical accuracy (< 10 cm). The georeferencing of the DSM require a homogeneous distribution and a large number of GCPs. The accuracy is correlated with the number of GCPs (use 19 GCPs instead of 10 allows to reduce the difference of 4 cm); the required accuracy should be dependant of the research problematic. Last, in this particular environment, the presence of very small water surfaces on the sand bank does not allow to improve the accuracy when the spatial resolution of images is decreased.

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Section: Introductionmentioning

confidence: 96%

Accuracy Assessment of Coastal Topography Derived From Uav Images

Long

Millescamps

Pouget

et al. 2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…La metodología de reconocimiento (Hudson, 1997) que consiste en la colocación de varillas de 3/8 de pulgadas con una longitud no mayor a 40 centímetros, utilizada durante la presente investigación dio resultados satisfactorios requiriendo bajos recursos para llevarla a cabo, sin embargo, es necesario tener puntos de referencia en sectores cercanos para hacer el replanteo de nuevos sitios si los puntos colocados se pierden por la erosión o por intervenciones antrópicas o de animales. El uso de drones o UAV (Vehículos Aéreos no Tripulados) facilitaría la obtención de resultados ya que pueden usarse para obtener modelos de elevación y comparar los cambios en el tiempo (Casella et al, 2016).…”

Section: Discusión Y Conclusiones De Resultadosunclassified

Estudio de denudación en piroclastos Tierra Blanca Joven dentro el área metropolitana de San Salvador

Vásquez¹,

Chávez²,

Gracias³

2017

Rev. Geol. Amér. Central

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Severe problems of denudation are happening in Tierra Blanca Joven pyroclasts within the Metropolitan Area of San Salvador, affecting infrastructure and housing projects. This leads to necessary and constant mitigation works. To understand the behavior and characteristics of these pyroclasts a monitoring program began. This was made through the installation in some sectors of 3/8 inch rods to recognize changes of erosion and sedimentation. With the help of remote sensors, historical changes were identified in the drainages. For this area a map of erodibility with the Universal Equation of Soil Loss was obtained. The results show the importance and influence of climatic factors, tectonic, human actions and changes of the base level of drainage. This can be used to build criteria for research and propose protection zones in the river drainage system. The monitoring probes to be useful and is necessary to improve it.

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“…SfM workflows are well-established [19,30,31] and are minimally elaborated here. Detailed processing steps, including optimization parameters, are presented in Table A1 and distributed in the published data [20].…”

Section: Structure-from-motionmentioning

confidence: 99%

“…Unmanned Aerial Systems (UAS; sometimes referred to as drones) coupled with Structure-fromMotion (SfM) photogrammetry offer a rapidly mobilized, and underutilized coastal surveying alternative that can provide high-resolution aerial coverage to quickly assess storm impacts and monitor recovery [17,19]. In this study, we evaluate the ability of these systems to map and measure coastal features in areas with sandy shores and semi-vegetated dunes.…”

Section: Introductionmentioning

confidence: 99%

UAS-SfM for Coastal Research: Geomorphic Feature Extraction and Land Cover Classification from High-Resolution Elevation and Optical Imagery

et al. 2017

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Abstract:The vulnerability of coastal systems to hazards such as storms and sea-level rise is typically characterized using a combination of ground and manned airborne systems that have limited spatial or temporal scales. Structure-from-motion (SfM) photogrammetry applied to imagery acquired by unmanned aerial systems (UAS) offers a rapid and inexpensive means to produce high-resolution topographic and visual reflectance datasets that rival existing lidar and imagery standards. Here, we use SfM to produce an elevation point cloud, an orthomosaic, and a digital elevation model (DEM) from data collected by UAS at a beach and wetland site in Massachusetts, USA. We apply existing methods to (a) determine the position of shorelines and foredunes using a feature extraction routine developed for lidar point clouds and (b) map land cover from the rasterized surfaces using a supervised classification routine. In both analyses, we experimentally vary the input datasets to understand the benefits and limitations of UAS-SfM for coastal vulnerability assessment. We find that (a) geomorphic features are extracted from the SfM point cloud with near-continuous coverage and sub-meter precision, better than was possible from a recent lidar dataset covering the same area; and (b) land cover classification is greatly improved by including topographic data with visual reflectance, but changes to resolution (when <50 cm) have little influence on the classification accuracy.

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Drones as tools for monitoring beach topography changes in the Ligurian Sea (NW Mediterranean)

Abstract: Drones as tools for coastal monitoring: multi-temporal analysis of beach 2 topography.

Cited by 154 publications

References 51 publications

Accuracy Assessment of Coastal Topography Derived From Uav Images

Accuracy Assessment of Coastal Topography Derived From Uav Images

Estudio de denudación en piroclastos Tierra Blanca Joven dentro el área metropolitana de San Salvador

UAS-SfM for Coastal Research: Geomorphic Feature Extraction and Land Cover Classification from High-Resolution Elevation and Optical Imagery

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