Methodology for Combining Data Acquired by Unmanned Surface and Aerial Vehicles to Create Digital Bathymetric Models in Shallow and Ultra-Shallow Waters

Łubczonek, Jacek; Kazimierski, Witold; Zaniewicz, Grzegorz; Łącka, Małgorzata

doi:10.3390/rs14010105

Cited by 24 publications

(33 citation statements)

References 76 publications

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“…However, both ALB and MBES lack spectral information, limiting their further applications. The combination of ALB, MBES, and optical mapping sensors has been extensively researched and widely applied for inland water surveying [ 39 , 40 , 41 ] and coastal shallow water mapping [ 42 , 43 ]. Considering that the lightweight UAV-borne ALB system allows flexible installation, the integration of the system and optical cameras can be mounted on various UAV platforms.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of a New Lightweight UAV-Borne Topo-Bathymetric LiDAR for Shallow Water Bathymetry and Object Detection

Wang

Xing

et al. 2022

Sensors

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Airborne LiDAR bathymetry (ALB) has proven to be an effective technology for shallow water mapping. To collect data with a high point density, a lightweight dual-wavelength LiDAR system mounted on unmanned aerial vehicles (UAVs) was developed. This study presents and evaluates the system using the field data acquired from a flight test in Dazhou Island, China. In the precision and accuracy assessment, the local fitted planes extracted from the water surface points and the multibeam echosounder data are used as a reference for water surface and bottom measurements, respectively. For the bathymetric performance comparison, the study area is also measured with an ALB system installed on the manned aerial platform. The object detection capability of the system is examined with placed small cubes. Results show that the fitting precision of the water surface is 0.1227 m, and the absolute accuracy of the water bottom is 0.1268 m, both of which reach a decimeter level. Compared to the manned ALB system, the UAV-borne system provides higher resolution data with an average point density of 42 points/m2 and maximum detectable depth of 1.7–1.9 Secchi depths. In the point cloud of the water bottom, the existence of a 1-m target cube and the rough shape of a 2-m target cube are clearly observed at a depth of 12 m. The system shows great potential for flexible shallow water mapping and underwater object detection with promising results.

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Section: Discussionmentioning

confidence: 99%

Evaluation of a New Lightweight UAV-Borne Topo-Bathymetric LiDAR for Shallow Water Bathymetry and Object Detection

Wang

Xing

et al. 2022

Sensors

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“…Therefore, based on different modifications of the IDW method, it was determined that the best results were obtained for 5-8 measurement points located within a radius of 0.6 m. Based on a study by Maleika [36], it should be concluded that the IDW method enables the modification of parameters, which translates into the method fitting to obtain the best results. The next example of the IDW application is presented in an article by Lubczonek et al [1]. It is noteworthy that the IDW method was applied to data derived from an UAV and an USV.…”

Section: Idwmentioning

confidence: 99%

“…Geodetic and hydrographic measurements are increasingly carried out by Unmanned Aerial Vehicles (UAV), Unmanned Surface Vehicles (USV) or Terrestrial Laser Scanners (TLS) [1][2][3]. The use of these modern methods in coastal zone measurements enables the acquisition of high-quality bathymetric data.…”

Section: Introductionmentioning

confidence: 99%

“…In geology, the interpolation methods are used, e.g. to model geological [26] and geomorphological processes [1], as well as geological structures [27]. It is also worth noting the fact that the interpolation methods can be used to create Electronic Navigational Charts (ENC), which contain a detailed description of hydrographic structures and waterbody depths.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of Terrain Modelling Methods in the Coastal Zone

Lewicka¹

2023

Communications

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ResumeGeospatial data are increasingly used to model the terrain in the coastal zone, in particular in shallow waterbodies (with a depth of up to 1 m). In order to generate a terrain relief, it is important to choose a method for its modelling that will allow it to be accurately projected. Therefore, the aim of this publication is to analyze the terrain modelling methods in the coastal zone. For the purposes of the research, five most popular methods for terrain modelling were described: Inverse Distance Weighted (IDW), Modified Shepard's Method (MSM), Natural Neighbor Interpolation (NNI), kriging and spline. Each of the methods has been described in a uniform way in terms of: the essence of its operation, mathematical expression and application examples. The advantages and disadvantages of each of the methods for terrain modelling are also discussed. It should be stated that the choice of the method for the terrain modelling of a shallow waterbody is not unambiguous, as it depends on the type of data recorded during bathymetric and photogrammetric measurements.

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“…A digital bathymetric model represents a topographic seafloor surface. It can be generated from bathymetric surveys with a Singlebeam or Multibeam Echosounder [13]. The periodic digital bathymetric model can be used to analyze the topographical change in specific time intervals by calculating volume [14].…”

Section: Introductionmentioning

confidence: 99%

Dredging Volume Analysis Using Different Software

Abidah

Pratomo

Khomsin

2023

IOP Conf. Ser.: Earth Environ. Sci.

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Dredging is one of the seaport’s regular and necessary maintenance activities to keep the sea depth under control. The purpose of dredging is to provide safe navigation where the depth of the water column must be more profound than the ship’s draft. Periodic bathymetric surveys using an echosounder can observe changes in the topography of the seabed. Topographic changes over time can be used to calculate the volume of sedimentation. Triangular Irregular Network (TIN) is one of the methods to calculate cut and fill volume in some software. This study aims to compare the difference in the sediment volume calculation results from interpolation data with EIVA and CAD. This study uses data from Multibeam Echosounder, carried out before dredging (mc0) and after dredging (mc100). This study shows the difference in volume calculation because of dredging is 693,228.00 m3 using CAD and 701,700.633 m3 using EIVA. Statistic test for volume calculation from this software using a p-value of Friedman test shows no significant difference between these two software calculations.

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Methodology for Combining Data Acquired by Unmanned Surface and Aerial Vehicles to Create Digital Bathymetric Models in Shallow and Ultra-Shallow Waters

Cited by 24 publications

References 76 publications

Evaluation of a New Lightweight UAV-Borne Topo-Bathymetric LiDAR for Shallow Water Bathymetry and Object Detection

Evaluation of a New Lightweight UAV-Borne Topo-Bathymetric LiDAR for Shallow Water Bathymetry and Object Detection

Analysis of Terrain Modelling Methods in the Coastal Zone

Dredging Volume Analysis Using Different Software

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