Method for accuracy assessment of topo-bathymetric surface models based on geospatial data recorded by UAV and USV vehicles

Geospatial data obtained using Unmanned Aerial Vehicles (UAVs) and Unmanned Surface Vehicles (USVs) 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 met...

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Main Author: Oktawia Lewicka
Format: Article
Language:English
Published: Polish Academy of Sciences 2023-10-01
Series:Metrology and Measurement Systems
Subjects:
Online Access:https://journals.pan.pl/Content/129008/PDF/art05_int_LR.pdf
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author Oktawia Lewicka
author_facet Oktawia Lewicka
author_sort Oktawia Lewicka
collection DOAJ
description Geospatial data obtained using Unmanned Aerial Vehicles (UAVs) and Unmanned Surface Vehicles (USVs) 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 modelling that will allow it to be accurately projected. Therefore, the aim of this article is to present a method for accuracy assessment of topo-bathymetric surface models based on geospatial data recorded by UAV and USV vehicles. Bathymetric and photogrammetric measurements were carried out on the waterbody adjacent to the public beach in Gdynia (Poland) in 2022 using a DJI Phantom 4 RTK UAV and an AutoDron USV. The geospatial data integration process was performed in the Surfer software. As a result, Digital Terrain Models (DTMs) in the coastal zone were developed using the following terrain modelling methods: Inverse Distance to a Power (IDP), Inverse Distance Weighted (IDW), kriging, the Modified Shepard’s Method (MSM) and Natural Neighbour Interpolation (NNI). The conducted study does not clearly indicate any of the methods, as the selection of the method is also affected by the visualization of the generated model. However, having compared the accuracy measures of the charts and models obtained, it was concluded that for this type of data, the kriging (linear model) method was the best. Very good results were also obtained for the NNI method. The lowest value of the Root Mean Square Error (RMSE) (0.030 m) and the lowest value of the Mean Absolute Error (MAE) (0.011 m) were noted for the GRID model interpolated with the kriging (linear model) method. Moreover, the NNI and kriging (linear model) methods obtained the highest coefficient of determination value (0.999). The NNI method has the lowest value of the R68 measure (0.009 m), while the lowest value of the R95 measure (0.033 m) was noted for the kriging (linear model) method.
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spelling doaj.art-6107809b9a40453aa77f56a007c8fec92023-10-27T10:33:56ZengPolish Academy of SciencesMetrology and Measurement Systems2300-19412023-10-01vol. 30No 3461480https://doi.org/10.24425/mms.2023.146421Method for accuracy assessment of topo-bathymetric surface models based on geospatial data recorded by UAV and USV vehiclesOktawia Lewicka0Department of Geodesy and Oceanography, Gdynia Maritime University, ul. Morska 81-87, 81-225 Gdynia, PolandGeospatial data obtained using Unmanned Aerial Vehicles (UAVs) and Unmanned Surface Vehicles (USVs) 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 modelling that will allow it to be accurately projected. Therefore, the aim of this article is to present a method for accuracy assessment of topo-bathymetric surface models based on geospatial data recorded by UAV and USV vehicles. Bathymetric and photogrammetric measurements were carried out on the waterbody adjacent to the public beach in Gdynia (Poland) in 2022 using a DJI Phantom 4 RTK UAV and an AutoDron USV. The geospatial data integration process was performed in the Surfer software. As a result, Digital Terrain Models (DTMs) in the coastal zone were developed using the following terrain modelling methods: Inverse Distance to a Power (IDP), Inverse Distance Weighted (IDW), kriging, the Modified Shepard’s Method (MSM) and Natural Neighbour Interpolation (NNI). The conducted study does not clearly indicate any of the methods, as the selection of the method is also affected by the visualization of the generated model. However, having compared the accuracy measures of the charts and models obtained, it was concluded that for this type of data, the kriging (linear model) method was the best. Very good results were also obtained for the NNI method. The lowest value of the Root Mean Square Error (RMSE) (0.030 m) and the lowest value of the Mean Absolute Error (MAE) (0.011 m) were noted for the GRID model interpolated with the kriging (linear model) method. Moreover, the NNI and kriging (linear model) methods obtained the highest coefficient of determination value (0.999). The NNI method has the lowest value of the R68 measure (0.009 m), while the lowest value of the R95 measure (0.033 m) was noted for the kriging (linear model) method.https://journals.pan.pl/Content/129008/PDF/art05_int_LR.pdfterrain modellingcoastal zonegeospatial dataunmanned aerial vehicle (uav)unmannedsurface vehicle (usv)
spellingShingle Oktawia Lewicka
Method for accuracy assessment of topo-bathymetric surface models based on geospatial data recorded by UAV and USV vehicles
Metrology and Measurement Systems
terrain modelling
coastal zone
geospatial data
unmanned aerial vehicle (uav)
unmannedsurface vehicle (usv)
title Method for accuracy assessment of topo-bathymetric surface models based on geospatial data recorded by UAV and USV vehicles
title_full Method for accuracy assessment of topo-bathymetric surface models based on geospatial data recorded by UAV and USV vehicles
title_fullStr Method for accuracy assessment of topo-bathymetric surface models based on geospatial data recorded by UAV and USV vehicles
title_full_unstemmed Method for accuracy assessment of topo-bathymetric surface models based on geospatial data recorded by UAV and USV vehicles
title_short Method for accuracy assessment of topo-bathymetric surface models based on geospatial data recorded by UAV and USV vehicles
title_sort method for accuracy assessment of topo bathymetric surface models based on geospatial data recorded by uav and usv vehicles
topic terrain modelling
coastal zone
geospatial data
unmanned aerial vehicle (uav)
unmannedsurface vehicle (usv)
url https://journals.pan.pl/Content/129008/PDF/art05_int_LR.pdf
work_keys_str_mv AT oktawialewicka methodforaccuracyassessmentoftopobathymetricsurfacemodelsbasedongeospatialdatarecordedbyuavandusvvehicles