The Optimum Dataset method – examples of the application

¹ University of Warmia and Mazury in Olsztyn, Faculty of Geodesy, Geospatial and Civil Engineering, Institute of Geodesy, Oczapowski St. 1, Olsztyn, Poland
² Gdańsk University of Technology, Faculty of Civil and Environmental Engineering, Department of Geodesy, Narutowicza St. 11/12, Gdańsk, Poland
³ University of Warmia and Mazury in Olsztyn, Faculty of Geodesy, Geospatial and Civil Engineering, Department of Land Surveying and Geomatics, Heweliusza St. 12, Olsztyn, Poland

^* Corresponding author: annsobie@pg.edu.pl

Abstract

Data reduction is a procedure to decrease the dataset in order to make their analysis more effective and easier. Reduction of the dataset is an issue that requires proper planning, so after reduction it meets all the user’s expectations. Evidently, it is better if the result is an optimal solution in terms of adopted criteria. Within reduction methods, which provide the optimal solution there is the Optimum Dataset method (OptD) proposed by Błaszczak-Bąk (2016). The paper presents the application of this method for different datasets from LiDAR and the possibility of using the method for various purposes of the study. The following reduced datasets were presented: (a) measurement of Sielska street in Olsztyn (Airbrone Laser Scanning data – ALS data), (b) measurement of the bas-relief that is on the building in Gdańsk (Terrestrial Laser Scanning data – TLS data), (c) dataset from Biebrza river measurment (TLS data).