A New, Robust, and Accurate Method to Extract Tide-Coordinated Shorelines from Coastal Elevation Models

Luque, Ismael Fernández; Torres, Fernando José Aguilar; Torres, Manuel; García, José Luis Pérez; Arenas, Andrés López

doi:10.2112/jcoastres-d-11-00107.1

Cited by 11 publications

(9 citation statements)

References 14 publications

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“…The accuracy analysis showed that the standard deviation of the depth measurement error was 0.11-0.19 m for depths ranging from 0.1 to 5.57 m. The criteria for the selection of this method included the depth measurement accuracy, hydrometeorological conditions occurring during the performance of photogrammetric surveys and the measurement equipment used from among all the analysed methods [12,[57][58][59][60][61]. The third criterion is the coastline extraction component proposed by Xu et al [87] An accuracy analysis showed that the standard deviation of the error in determining the shoreline position was 1 m. The criteria for the selection of this method included the automation of the extraction process and the accuracy of determining the coastline position from among all the analysed methods [80][81][82][83][84][85][86].…”

Section: Discussionmentioning

confidence: 99%

“…Fernández Luque I. et al, 2012 [81] Visual and quantitative assessment of the proposed method on a single dataset. The use of the contour method [80,88] as the reference method.…”

Section: Author and The Year Of Publication The Manner Of Methods Val...mentioning

confidence: 99%

“…Nine methods for extracting the coastline were selected using the above-mentioned criteria, originating from seven scientific publications from the years 2011-2021 [80][81][82][83][84][85][86]. Among the analysed papers, there are those that carried out very extensive method validation using many different types of the coastline and waterbodies with different geometric and optical characteristics [87], as well as those in which the method is only tested on a single dataset [81]. Table 5 provides a cumulative list of all the discussed papers along with the main assumptions upon which the proposed method was based.…”

Section: Coastline Extraction Componentmentioning

confidence: 99%

“…Attention was also paid to the need for the creation of standardised reference methods in order to facilitate the performance of quantitative comparisons of the accuracy of particular methods. [80][81][82][83][84][85][86].…”

Section: Coastline Extraction Componentmentioning

confidence: 99%

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Integration Data Model of the Bathymetric Monitoring System for Shallow Waterbodies Using UAV and USV Platforms

Lewicka

Specht²,

Stateczny

et al. 2022

Remote Sensing

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Changes in the seafloor relief are particularly noticeable in shallow waterbodies (at depths up to several metres), where they are of significance for human safety and environmental protection, as well as for which the highest measurement accuracy is required. The aim of this publication is to present the integration data model of the bathymetric monitoring system for shallow waterbodies using Unmanned Aerial Vehicles (UAV) and Unmanned Surface Vehicles (USV). As part of this model, three technology components will be created: a hydroacoustic and optoelectronic data integration component proposed by Dąbrowski et al., a radiometric depth determination component based on optoelectronic data using the Support Vector Regression (SVR) method, and a coastline extraction component proposed by Xu et al. Thanks to them, it will be possible to cover the entire area with measurements in the coastal zone, in particular between the shallow waterbody coastline and the min. isobath recorded by the echo sounder (the area is lacking actual measurement data). Multisensor data fusion obtained using Global Navigation Satellite System (GNSS)/Inertial Navigation System (INS), Light Detection And Ranging (LiDAR), Real Time Kinematic (RTK), UAV, and USV will allow to meet the requirements provided for the International Hydrographic Organization (IHO) Special Order (horizontal position error ≤ 2 m (p = 0.95), vertical position error ≤ 0.25 m (p = 0.95)). To this end, bathymetric and photogrammetric measurements shall be carried out under appropriate conditions. The water transparency in the tested waterbody should be at least 2 m. Hydrographic surveys shall be performed in windless weather and the water level is 0 in the Douglas sea scale (no waves or sea currents). However, the mission with the use of an UAV should take place in appropriate meteorological conditions, i.e., no precipitation, windless weather (wind speed not exceeding 6–7 m/s), sunny day.

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Section: Discussionmentioning

confidence: 99%

“…Fernández Luque I. et al, 2012 [81] Visual and quantitative assessment of the proposed method on a single dataset. The use of the contour method [80,88] as the reference method.…”

Section: Author and The Year Of Publication The Manner Of Methods Val...mentioning

confidence: 99%

Section: Coastline Extraction Componentmentioning

confidence: 99%

Section: Coastline Extraction Componentmentioning

confidence: 99%

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Integration Data Model of the Bathymetric Monitoring System for Shallow Waterbodies Using UAV and USV Platforms

Lewicka

Specht²,

Stateczny

et al. 2022

Remote Sensing

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“…This contour line is the coastline. Reference [7] uses data for step-by-step operations to extract coastline and optimizes the edges of the coastline; Reference [8] uses a coastal elevation model to extract the coastline during tides; Reference [9] conducted research on the extraction of shorelines from shallow and muddy areas, while reference [10] used Monte Carlo simulation to extract shorelines and evaluate their accuracy. References [11,12] attempt to separate land and water using lidar data, but when there is vegetation cover, the boundary between land and water in the vegetation covered area cannot represent the coastline, which is far from the actual coastline.…”

Section: Introductionmentioning

confidence: 99%

A new method for the extraction of shoreline based on point cloud distribution characteristics

lv,

li,

liu

et al. 2024

International Conference on Algorithm, Imaging Processing, and Machine Vision (AIPMV 2023)

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The commonly used shoreline extraction methods need to go through the generation process of point cloud digital elevation model (DEM) with large amount of calculation and easy to introduce errors. This proposed method used the change law of the coordinate value of the point at the time of obtaining the data due to the consistent acquisition method, puts forward the algorithm, and improves the accuracy and efficiency of the algorithm, so that it can quickly and accurately extract the boundary point cloud of the coastal zone, properly process the extracted boundary point cloud and transform it into the coastline point cloud in the strict sense. Compared with the measured coastline data and the coastline data extracted by isoline tracking method, the visual and quantitative data show that the extraction effect of this method is more continuous and the accuracy is higher. It can be seen from the data table that the overall standard deviation and variance of coastline extracted by this method are reduced from 0.3726 and 0.1415 of isoline tracking method to 0.1632 and 0.0266 respectively.

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3D Coastal Monitoring from very dense UAV-Based Photogrammetric Point Clouds

Aguilar

Fernández²,

Casanova

et al. 2016

Lecture Notes in Mechanical Engineering

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A New, Robust, and Accurate Method to Extract Tide-Coordinated Shorelines from Coastal Elevation Models

Cited by 11 publications

References 14 publications

Integration Data Model of the Bathymetric Monitoring System for Shallow Waterbodies Using UAV and USV Platforms

Integration Data Model of the Bathymetric Monitoring System for Shallow Waterbodies Using UAV and USV Platforms

A new method for the extraction of shoreline based on point cloud distribution characteristics

3D Coastal Monitoring from very dense UAV-Based Photogrammetric Point Clouds

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