The use of kinematic photogrammetry and LiDAR for reconstruction of a unique object with extreme topography: a case study of Dutchman’s Cap, Baltic seacoast, Lithuania

Nowadays, the development of Unmanned Aerial Vehicle in conjunction with Photogrammetry and LiDAR technologies, has revolutionized the collection of geospatial data. These technologies enable the acquisition of very high-resolution images and dense point clouds. They also allow the generation of aer...

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Main Authors: Birutė Ruzgienė, Lina Kuklienė, Indrius Kuklys, Dainora Jankauskienė, Sérgio Lousada
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-02-01
Series:Frontiers in Remote Sensing
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Online Access:https://www.frontiersin.org/articles/10.3389/frsen.2025.1397513/full
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author Birutė Ruzgienė
Lina Kuklienė
Indrius Kuklys
Dainora Jankauskienė
Dainora Jankauskienė
Sérgio Lousada
Sérgio Lousada
Sérgio Lousada
Sérgio Lousada
Sérgio Lousada
author_facet Birutė Ruzgienė
Lina Kuklienė
Indrius Kuklys
Dainora Jankauskienė
Dainora Jankauskienė
Sérgio Lousada
Sérgio Lousada
Sérgio Lousada
Sérgio Lousada
Sérgio Lousada
author_sort Birutė Ruzgienė
collection DOAJ
description Nowadays, the development of Unmanned Aerial Vehicle in conjunction with Photogrammetry and LiDAR technologies, has revolutionized the collection of geospatial data. These technologies enable the acquisition of very high-resolution images and dense point clouds. They also allow the generation of aerial mapping products and simulations of geospatial data for territories that are difficult to access using traditional surveying methods. The paper deals with the use of kinematic remote sensing technique for the study of surface with extreme topography as is a near-vertical cliff named Olandian hat situated in the Seaside regional park on the Baltic sea coast of Lithuania. This area has been significantly eroded by the sea due to the climatic changes of the last few decades, which have caused substantial damage to the coastline. Quantitative measurements show that coastal erosion has led to a retreat of up to [X] meters over the last [Y] years. In order to preserve this unique cultural object, needs to keep an observation on a regular basis (as monitoring) for capture the real situation. Applying an appropriate way for generation of the reliable and accurate spatial models of surface with extreme topography, four data sets were processed: images gained with the camera, oriented horizontally; images gained with the camera tilted at about 50°; combining both image sets collected from camera; LiDAR data. Point clouds and orthophoto maps were generated. The evaluation of aerial mapping products showed that the best accuracy was achieved with products derived from the combined image sets, based on the metric of RMSE, with a mean RMSE of 0.048 m in X, Y, and Z directions. The spatial model generated from LiDAR data is more accurate in Z direction. Correct representation of DEM was not possible using only image data from camera horizontally oriented.
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institution Kabale University
issn 2673-6187
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publishDate 2025-02-01
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series Frontiers in Remote Sensing
spelling doaj-art-197cf4e174b141e699d767b036deef5b2025-02-06T07:09:05ZengFrontiers Media S.A.Frontiers in Remote Sensing2673-61872025-02-01610.3389/frsen.2025.13975131397513The use of kinematic photogrammetry and LiDAR for reconstruction of a unique object with extreme topography: a case study of Dutchman’s Cap, Baltic seacoast, LithuaniaBirutė Ruzgienė0Lina Kuklienė1Indrius Kuklys2Dainora Jankauskienė3Dainora Jankauskienė4Sérgio Lousada5Sérgio Lousada6Sérgio Lousada7Sérgio Lousada8Sérgio Lousada9Department of Environment and Civil Engineering, Faculty of Technologies, Klaipeda State University of Applied Sciences, Klaipeda, LithuaniaDepartment of Environment and Civil Engineering, Faculty of Technologies, Klaipeda State University of Applied Sciences, Klaipeda, LithuaniaDepartment of Environment and Civil Engineering, Faculty of Technologies, Klaipeda State University of Applied Sciences, Klaipeda, LithuaniaDepartment of Environment and Civil Engineering, Faculty of Technologies, Klaipeda State University of Applied Sciences, Klaipeda, LithuaniaFaculty of Environment and Civil Engineering, Latvia University of Life Sciences and Technologies, Jelgava, LatviaDepartment of Civil Engineering and Geology (DECG), Faculty of Exact Sciences and Engineering (FCEE), University of Madeira (UMa), Funchal, PortugalCITUR—Madeira—Research Centre for Tourism Development and Innovation, Funchal, PortugalVALORIZA—Research Centre for Endogenous Resource Valorization, Polytechnic Institute of Portalegre (IPP), Portalegre, PortugalResearch Group on Environment and Spatial Planning (MAOT), University of Extremadura, Badajoz, SpainRISCO—Civil Engineering Department of University of Aveiro, Aveiro, PortugalNowadays, the development of Unmanned Aerial Vehicle in conjunction with Photogrammetry and LiDAR technologies, has revolutionized the collection of geospatial data. These technologies enable the acquisition of very high-resolution images and dense point clouds. They also allow the generation of aerial mapping products and simulations of geospatial data for territories that are difficult to access using traditional surveying methods. The paper deals with the use of kinematic remote sensing technique for the study of surface with extreme topography as is a near-vertical cliff named Olandian hat situated in the Seaside regional park on the Baltic sea coast of Lithuania. This area has been significantly eroded by the sea due to the climatic changes of the last few decades, which have caused substantial damage to the coastline. Quantitative measurements show that coastal erosion has led to a retreat of up to [X] meters over the last [Y] years. In order to preserve this unique cultural object, needs to keep an observation on a regular basis (as monitoring) for capture the real situation. Applying an appropriate way for generation of the reliable and accurate spatial models of surface with extreme topography, four data sets were processed: images gained with the camera, oriented horizontally; images gained with the camera tilted at about 50°; combining both image sets collected from camera; LiDAR data. Point clouds and orthophoto maps were generated. The evaluation of aerial mapping products showed that the best accuracy was achieved with products derived from the combined image sets, based on the metric of RMSE, with a mean RMSE of 0.048 m in X, Y, and Z directions. The spatial model generated from LiDAR data is more accurate in Z direction. Correct representation of DEM was not possible using only image data from camera horizontally oriented.https://www.frontiersin.org/articles/10.3389/frsen.2025.1397513/fullaccuracy evaluationextreme topographyimage processingLiDARorthophotosurface modeling
spellingShingle Birutė Ruzgienė
Lina Kuklienė
Indrius Kuklys
Dainora Jankauskienė
Dainora Jankauskienė
Sérgio Lousada
Sérgio Lousada
Sérgio Lousada
Sérgio Lousada
Sérgio Lousada
The use of kinematic photogrammetry and LiDAR for reconstruction of a unique object with extreme topography: a case study of Dutchman’s Cap, Baltic seacoast, Lithuania
Frontiers in Remote Sensing
accuracy evaluation
extreme topography
image processing
LiDAR
orthophoto
surface modeling
title The use of kinematic photogrammetry and LiDAR for reconstruction of a unique object with extreme topography: a case study of Dutchman’s Cap, Baltic seacoast, Lithuania
title_full The use of kinematic photogrammetry and LiDAR for reconstruction of a unique object with extreme topography: a case study of Dutchman’s Cap, Baltic seacoast, Lithuania
title_fullStr The use of kinematic photogrammetry and LiDAR for reconstruction of a unique object with extreme topography: a case study of Dutchman’s Cap, Baltic seacoast, Lithuania
title_full_unstemmed The use of kinematic photogrammetry and LiDAR for reconstruction of a unique object with extreme topography: a case study of Dutchman’s Cap, Baltic seacoast, Lithuania
title_short The use of kinematic photogrammetry and LiDAR for reconstruction of a unique object with extreme topography: a case study of Dutchman’s Cap, Baltic seacoast, Lithuania
title_sort use of kinematic photogrammetry and lidar for reconstruction of a unique object with extreme topography a case study of dutchman s cap baltic seacoast lithuania
topic accuracy evaluation
extreme topography
image processing
LiDAR
orthophoto
surface modeling
url https://www.frontiersin.org/articles/10.3389/frsen.2025.1397513/full
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