ORIGINAL ARTICLE
Investigating diverse photogrammetric techniques in the hazard assessment of historical sites of the Museum of the Coal Basin Area in Będzin, Poland
1
Faculty of Geodesy and Cartography, Warsaw University of Technology, Pl. Politechniki 1, 00-661, Warsaw, Poland
A - Research concept and design; B - Collection and/or assembly of data; C - Data analysis and interpretation; D - Writing the article; E - Critical revision of the article; F - Final approval of article
Submission date: 2024-02-26
Final revision date: 2024-07-30
Acceptance date: 2024-08-19
Publication date: 2024-09-23
Corresponding author
Krzysztof Karsznia
Faculty of Geodesy and Cartography, Warsaw University of Technology, Pl. Politechniki 1, 00-661, Warsaw, Poland
Faculty of Geodesy and Cartography, Warsaw University of Technology, Pl. Politechniki 1, 00-661, Warsaw, Poland
Reports on Geodesy and Geoinformatics 2024;118:70-81
KEYWORDS
TOPICS
Engineering surveyingGeomaticsDeformation monitoringSensor fusion3D measurements and Reality Modeling
ABSTRACT
Assessing the condition of historical sites at risk requires an interdisciplinary approach based on combining multiple measurement technologies. Due to the dynamic development of technology, non-invasive remote sensing methods are gaining significant importance. Among these techniques is photogrammetry based on images taken from unmanned aerial vehicles (UAVs) and those taken with a smartphone. In the study, the authors specified the possibilities and limitations of using remote photogrammetric methods to build accurate digital models of the walls of historic buildings with cracks in them. Point clouds, TIN grids, and façade orthophotos were examined. Statistical analysis was used to determine the repeatability of the data. Two parameters were identified that affect the accuracy of the data: the first – the direction of the segment between two points in the façade plane, and the second – the distance of the segment between two points in the plane of the façade. The study showed that the average accuracy of crack width measurements on the data acquired with the DJI Mavic 3 Enterprise RTK is 1 mm. Testing of crack width measurements using a Samsung Galaxy S20 FE smartphone showed an average absolute error of 0.24 mm. Based on the results, it was concluded that the images acquired using mobile devices can be used to determine changes in crack widths on walls.
ACKNOWLEDGEMENTS
All works were carried out in collaboration between the Warsaw University of Technology and the Museum of the Coal Basin Area in Będzin, Poland.
The authors also want to thank Mr. Piotr Rozenbajgier from NaviGate Sp. z o.o. for his significant contribution to the paper by providing UAV flights and data processing.
FUNDING
The presented material is part of the research conducted under the grants of the Scientific Council of the Discipline of Civil Engineering, Geodesy, and Transport, Warsaw University of Technology, titled “Evaluation and modelling of geometric changes in the structures of historical buildings located in endangered areas” (Karsznia K.) and “Application of modern 3D modelling tools to determine the technical condition of historic buildings” (Świerczyńska E.).
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