Integrating UAV and TLS Approaches for Environmental Management: A Case Study of a Waste Stockpile Area

A methodology for optimal volume computation for the environmental management of waste stockpiles was derived by integrating the terrestrial laser scanning (TLS) and unmanned aerial vehicle (UAV) technologies. Among the UAV-based point clouds generated under various flight scenarios, the most accurate point cloud was selected for analysis. The root mean square errors (RMSEs) of the TLS- and UAV-based methods were 0.202 and 0.032 m, respectively, and the volume computation yielded 41,226 and 41,526 m3, respectively. Both techniques showed high accuracy but also exhibited drawbacks in terms of their spatial features and efficiency. The TLS and UAV methods required 800 and 340 min, respectively, demonstrating the high efficiency of the UAV method. The RMSE and volume obtained using the TLS/UAV fusion model were calculated as 0.030 m and 41,232 m3, respectively. The UAV approach generally yielded high point cloud accuracy and volume computation efficiency.

Volume computation of quarries in Vietnam based on Unmanned Aerial Vehicle (UAV) data

The main objective of this study is to evaluate the accuracy of volumetric measurements carried out with the unmanned aerial vehicle (UAV) data in quarries in Vietnam. To accomplish this goal, GNSS/RTK and UAV technologies were employed to collect data at the same time in the Long Son quarry in Thanh Hoa. The data was used to establish DEMs, which were used to calculate the reserve of the quarry. The results of calculating the mine reserves showed that the difference between the two methods was 0.07%; Also, the difference in the height between the two average models was 3.5 cm. This result satisfies the requirements in the Vietnamese standards for mine surveying.