Validation of Data Collection Methods for Survey Stockpiles Measurement

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.