Abstract: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 Weigh… Show more
“…GRID models are created as a result of interpolation, i.e., the process of estimating an unknown value between known values using specific interpolation methods. Then, GRID nodes are generated, which form a structure of regular rectangles (usually squares) with a fixed resolution [2]. In total, 28,990 points of the land surface recorded by the UAV and 5136 points of the seabed terrain recorded by the USV were used to create a grid of squares.…”
Section: Topo-bathymetric Data Integration Modelsmentioning
confidence: 99%
“…To generate topo-bathymetric models of the coastal zone, we decided to use the most commonly used terrain interpolation methods, among which, the following can be distinguished [2,38]:…”
Section: Topo-bathymetric Data Integration Modelsmentioning
confidence: 99%
“…The coastal zone is an area that includes the sea coast and adjacent parts of the land and sea, where the mutual interaction of these environments is clearly marked [1][2][3]. Based on data provided by the General Bathymetric Chart of the Oceans (GEBCO), it appears that the coastal zone is one of the most dynamically changing regions on Earth [4], in particular, in the coastal zone [5,6].…”
The coastal zone is an area that includes the sea coast and adjacent parts of the land and sea, where the mutual interaction of these environments is clearly marked. Hence, the modelling of the land and seabed parts of the coastal zone is crucial and necessary in order to determine the dynamic changes taking place in this area. The accurate determination of the terrain in the coastal zone is now possible thanks to the use of Unmanned Aerial Vehicles (UAVs) and Unmanned Surface Vehicles (USVs). The aim of this article is to present land and seabed surface modelling in the coastal zone using UAV/USV-based data integration. Bathymetric and photogrammetric measurements were carried out on the waterbody adjacent to a public beach in Gdynia (Poland) in 2022 using the DJI Phantom 4 Real Time Kinematic (RTK) UAV and the AutoDron USV. As a result of geospatial data integration, topo-bathymetric models in the coastal zone were developed using the following terrain-modelling methods: Inverse Distance to a Power (IDP), kriging, Modified Shepard’s Method (MSM) and Natural Neighbour Interpolation (NNI). Then, the accuracies of the selected models obtained using the different interpolation methods, taking into account the division into land and seabed parts, were analysed. Research has shown that the most accurate method for modelling both the land and seabed surfaces of the coastal zone is the kriging (linear model) method. The differences between the interpolated and measurement values of the R95 measurement are 0.032 m for the land part and 0.034 m for the seabed part. It should also be noted that the data interpolated by the kriging (linear model) method showed a very good fit to the measurement data recorded by the UAVs and USVs.
“…GRID models are created as a result of interpolation, i.e., the process of estimating an unknown value between known values using specific interpolation methods. Then, GRID nodes are generated, which form a structure of regular rectangles (usually squares) with a fixed resolution [2]. In total, 28,990 points of the land surface recorded by the UAV and 5136 points of the seabed terrain recorded by the USV were used to create a grid of squares.…”
Section: Topo-bathymetric Data Integration Modelsmentioning
confidence: 99%
“…To generate topo-bathymetric models of the coastal zone, we decided to use the most commonly used terrain interpolation methods, among which, the following can be distinguished [2,38]:…”
Section: Topo-bathymetric Data Integration Modelsmentioning
confidence: 99%
“…The coastal zone is an area that includes the sea coast and adjacent parts of the land and sea, where the mutual interaction of these environments is clearly marked [1][2][3]. Based on data provided by the General Bathymetric Chart of the Oceans (GEBCO), it appears that the coastal zone is one of the most dynamically changing regions on Earth [4], in particular, in the coastal zone [5,6].…”
The coastal zone is an area that includes the sea coast and adjacent parts of the land and sea, where the mutual interaction of these environments is clearly marked. Hence, the modelling of the land and seabed parts of the coastal zone is crucial and necessary in order to determine the dynamic changes taking place in this area. The accurate determination of the terrain in the coastal zone is now possible thanks to the use of Unmanned Aerial Vehicles (UAVs) and Unmanned Surface Vehicles (USVs). The aim of this article is to present land and seabed surface modelling in the coastal zone using UAV/USV-based data integration. Bathymetric and photogrammetric measurements were carried out on the waterbody adjacent to a public beach in Gdynia (Poland) in 2022 using the DJI Phantom 4 Real Time Kinematic (RTK) UAV and the AutoDron USV. As a result of geospatial data integration, topo-bathymetric models in the coastal zone were developed using the following terrain-modelling methods: Inverse Distance to a Power (IDP), kriging, Modified Shepard’s Method (MSM) and Natural Neighbour Interpolation (NNI). Then, the accuracies of the selected models obtained using the different interpolation methods, taking into account the division into land and seabed parts, were analysed. Research has shown that the most accurate method for modelling both the land and seabed surfaces of the coastal zone is the kriging (linear model) method. The differences between the interpolated and measurement values of the R95 measurement are 0.032 m for the land part and 0.034 m for the seabed part. It should also be noted that the data interpolated by the kriging (linear model) method showed a very good fit to the measurement data recorded by the UAVs and USVs.
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