VERTICAL ACCURACY ASSESSMENT IN MINING AREA USING MULTI-GEODETIC SENSORS (1) Rizqi Aulia, (2) Irwan Gumilar, (2) Brian Bramanto
(1) Geodesy and Geomatics Engineering Study Programme, Faculty of Earth Sciences and Technology, Institut Teknologi Bandung
(2) Geodesy Research Group,
Faculty of Earth Sciences and Technology, Institut Teknologi Bandung
Abstract
Survey activity has an important role in mining industries. The development of Mapping technology has increased rapidly in recent times that enables mining business to increase productivity in mining. The use of the terrestris method that has been used so far has several disadvantages, including the aspect of work safety and the length of processing time. The study, aims to analyze the vertical accuracy from the Unmanned Aerial Vehicle Light Detection and Ranging (UAV LiDAR) method and UAV Photogrammetry method that enable us to improve the work safety and increase the productivity. This study, focuses on assessing the vertical accuracy of each sensor used. The reference data used in this research is Terrestrial Laser Scanner (TLS) point clouds data. Based on the comparisons, the Root Mean Square (RMS) of differences for LiDAR and photogrammetry was estimated to be 5 cm and 2 cm, respectively. Thus, both UAV LiDAR and UAV photogrammetry comply with the accuracy standards for measuring Mining Pit situations and ASPRS standards (American Society for Photogrammetry and Remote Sensing (ASPRS) in 2014.
Keywords: Point Clouds, UAV LiDAR , UAV Photogrammetry, Post Processing Kinematic (PPK), RMS
