Validation of Data Collection Methods for Survey Stockpiles Measurement

  • Martina HULANOVÁ Department of Geodesy and Mine Surveying, Faculty of Mining and Geology, VŠB – Technical University of Ostrava, 17. listopadu 15, 708 00, Ostrava – Poruba, Czech Republic
  • Lukáš KUTIL Department of Geodesy and Mine Surveying, Faculty of Mining and Geology, VŠB – Technical University of Ostrava, 17. listopadu 15, 708 00, Ostrava – Poruba, Czech Republic
  • Marcela STANICZKOVÁ Department of Geodesy and Mine Surveying, Faculty of Mining and Geology, VŠB – Technical University of Ostrava, 17. listopadu 15, 708 00, Ostrava – Poruba, Czech Republic
  • Pavel ČERNOTA Department of Geodesy and Mine Surveying, Faculty of Mining and Geology, VŠB – Technical University of Ostrava, 17. listopadu 15, 708 00, Ostrava – Poruba, Czech Republic
  • Hana STAŇKOVÁ Department of Geodesy and Mine Surveying, Faculty of Mining and Geology, VŠB – Technical University of Ostrava, 17. listopadu 15, 708 00, Ostrava – Poruba, Czech Republic
DOI: https://doi.org/10.29227/IM-2023-02-68
Keywords: stockpiles, laser scanning, drone, iPhone, measuring, volume calculation

Abstract

The paper focuses on validating data collection methods for surveying stockpiles, critical in industries like construction and mining,
ranging from traditional manual approaches to advanced technologies such as LiDAR and drones. The study assesses accuracy and
reliability, considering factors like equipment precision and data processing. It examines various measurement techniques and devices,
comparing their accuracy, usability, and results. This work underscores the importance of reliable data in fostering efficiency and
sustainability across industries.

Published
2024-02-19
How to Cite
HULANOVÁ, M., KUTIL, L., STANICZKOVÁ, M., ČERNOTA, P., & STAŇKOVÁ, H. (2024). Validation of Data Collection Methods for Survey Stockpiles Measurement. Test, 2(2 (52), 141–146. https://doi.org/10.29227/IM-2023-02-68
Issue
Vol 2 No 2 (52) (2023): Inzynieria Mineralna
Section
ARTICLES

Copyright (c) 2024 Martina HULANOVÁ,Lukáš KUTIL,Marcela STANICZKOVÁ,Pavel ČERNOTA,Hana STAŇKOVÁ

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

This journal permits and encourages authors to post items submitted to the journal on personal websites or institutional repositories both prior to and after publication, while providing bibliographic details that credit, if applicable, its publication in this journal.