Automated mapping of the intertidal beach bathymetry from video images

Uunk, Laura; Wijnberg, Kathelijne Mariken; Morelissen, Robin

doi:10.1016/j.coastaleng.2009.12.002

Cited by 66 publications

(52 citation statements)

References 20 publications

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“…Vousdoukas et al [47] obtained vertical RMS errors of 0.26 m using empirical formulations based on tidal and wave runup levels on the beach. Similarly, Uunk et al [36] mentioned elevation RMS errors between 0.28 and 0.34 m, the highest values being observed with a completely automated method. These uncertainties may in fact result from the underlying empirical relationships relating shoreline elevations to offshore wave characteristics and water levels [42].…”

Section: Comparing Video-to Lidar-based Topographymentioning

confidence: 99%

“…Most studies suggest using a longer averaging period, usually 10 min TIMEX [4,28,36,39,43,65,68] to 15 min [69]. The methodological choice of long period time-averaged images is based on the time period of wave groups and the fact that a longer exposure enables a more complete "storage" of the processes on the beach such as wave breaking [21] that generate foam at the shoreline or over bars.…”

Section: Shoreline Detection and Elevation Analysesmentioning

confidence: 99%

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LiDAR Validation of a Video-Derived Beachface Topography on a Tidal Flat

et al. 2017

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Increasingly used shore-based video stations enable a high spatiotemporal frequency analysis of shoreline migration. Shoreline detection techniques combined with hydrodynamic conditions enable the creation of digital elevation models (DEMs). However, shoreline elevations are often estimated based on nearshore process empirical equations leading to uncertainties in video-based topography. To achieve high DEM correspondence between both techniques, we assessed video-derived DEMs against LiDAR surveys during low energy conditions. A newly installed video system on a tidal flat in the St. Lawrence Estuary, Atlantic Canada, served as a test case. Shorelines were automatically detected from time-averaged (TIMEX) images using color ratios in low energy conditions synchronously with mobile terrestrial LiDAR during two different surveys. Hydrodynamic (waves and tides) data were recorded in-situ, and established two different cases of water elevation models as a basis for shoreline elevations. DEMs were created and tested against LiDAR. Statistical analysis of shoreline elevations and migrations were made, and morphological variability was assessed between both surveys. Results indicate that the best shoreline elevation model includes both the significant wave height and the mean water level. Low energy conditions and in-situ hydrodynamic measurements made it possible to produce video-derived DEMs virtually as accurate as a LiDAR product, and therefore make an effective tool for coastal managers.

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Section: Comparing Video-to Lidar-based Topographymentioning

confidence: 99%

Section: Shoreline Detection and Elevation Analysesmentioning

confidence: 99%

LiDAR Validation of a Video-Derived Beachface Topography on a Tidal Flat

et al. 2017

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“…This method requires the use of an image rectification procedure for measuring the observed relief changes. In combination with manual mapping by a conventional survey or DGPS, it may be a promising method for data collection for future computations (Uunk et al 2010). However, single cameras are used for collecting information and predicting dune-beach changes related to extreme storm surges or to management for touristic purposes.…”

Section: Other Visualisation Methodsmentioning

confidence: 99%

“…This is a fully automated procedure to derive mainly beach width and elevation changes on video images or movies collected on a daily basis (Holland et al 1997;Uunk et al 2010). In order to obtain quantitative information from these images, several devices must be used.…”

Section: Other Visualisation Methodsmentioning

confidence: 99%

A review of field methods to survey coastal dunes—experience based on research from South Baltic coast

Łabuz

2016

J Coast Conserv

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The aim of this paper is to compare the usefulness of equipment employed for foredune ground surveys in different environmental conditions based on literature and field experience from the Polish coast. This article contains a description of recently used methods of coastal dunes monitoring for management and scientific purposes. It presents issues of coastal dunes mapping that are a part of long-term research conducted along the Polish coast since 1997. The employed methods and techniques are briefly described and evaluated. Subsequently, a description and assessment of these field surveys is provided. The description of techniques is focused on the aim of the research and on the types of morphological coastal forms and vegetation cover. Those full descriptions may allow the choice of a proper method for field investigation suited to the researcher's need. The precision of measurement techniques and collected data is presented. Those data fulfill the need for geomorphologic investigation in coastal dune areas. The described experiences are based on 20 years of investigation of coastal dunes on the Polish Baltic coast, with additional data originating from other field investigations of many global coastal areas.

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“…Thus, despite their high accuracy, these techniques cannot be understood as efficient tools to monitor dynamics with the frequency required by natural spaces. Some examples are: the Airborne Light Detection and Ranging (LiDAR) and the Terrestrial Laser Scanner (TLS) that allow to obtain high accuracy dense point clouds; the geodetics Global Positioning Systems (GPS) capable of defining a light Digital Elevation Model; the video imaging systems that enable to recreate the intertidal beach bathymetry (Uunk et al, 2010); and the remote sensing techniques that allow an accurate datum-based shoreline detection (Almonacid-Caballer et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Modelling Landscape Morphodynamics by Terrestrial Photogrammetry: An Application to Beach and Fluvial Systems

Sánchez-García¹,

Balaguer-Beser²,

Taborda³

et al. 2016

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

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ABSTRACT:Beach and fluvial systems are highly dynamic environments, being constantly modified by the action of different natural and anthropic phenomena. To understand their behaviour and to support a sustainable management of these fragile environments, it is very important to have access to cost-effective tools. These methods should be supported on cutting-edge technologies that allow monitoring the dynamics of the natural systems with high periodicity and repeatability at different temporal and spatial scales instead the tedious and expensive field-work that has been carried out up to date. The work herein presented analyses the potential of terrestrial photogrammetry to describe beach morphology. Data processing and generation of high resolution 3D point clouds and derived DEMs is supported by the commercial Agisoft PhotoScan. Model validation is done by comparison of the differences in the elevation among the photogrammetric point cloud and the GPS data along different beach profiles. Results obtained denote the potential that the photogrammetry 3D modelling has to monitor morphological changes and natural events getting differences between 6 and 25 cm. Furthermore, the usefulness of these techniques to control the layout of a fluvial system is tested by the performance of some modeling essays in a hydraulic pilot channel.

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Automated mapping of the intertidal beach bathymetry from video images

Cited by 66 publications

References 20 publications

LiDAR Validation of a Video-Derived Beachface Topography on a Tidal Flat

LiDAR Validation of a Video-Derived Beachface Topography on a Tidal Flat

A review of field methods to survey coastal dunes—experience based on research from South Baltic coast

Modelling Landscape Morphodynamics by Terrestrial Photogrammetry: An Application to Beach and Fluvial Systems

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