An Approach of Mapping Quarries in Vietnam Using Low-Cost Unmanned Aerial Vehicles

Long, Nguyễn Quốc; Nam, Bui Xuan; Cuong, Cao Xuan; Canh, Le Van

doi:10.21177/1998-4502-2019-11-2-199-210

Cited by 6 publications

(9 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Also, the accuracy of DSM increases asymptotically with an increasing number of Submission date: 06-03-2020 | Review date: 22-09-2020 GCPs until a certain density of GCPs is reached (Gindraux et al, 2017). It is shown that the cm-level accuracy can be achieved with no less than five GCPs in most terrain conditions (Lee & Choi, 2015;Nguyen Quoc Long et al, 2019;Siebert & Teizer, 2014) and this requires even more than ten GCPs with complex terrain such as that in open-pit mining sites(Dieu Tien Bui et al, 2017). However, GCP acquisition is impeded by site access difficulties or hazardous circumstances (Ekaso et al, 2020), so a large number of GCPs could reduce the mine surveying efficiency.…”

Section: Introductionmentioning

confidence: 98%

See 1 more Smart Citation

Experimental Investigation on the Performance of DJI Phantom 4 RTK in the PPK Mode for 3D Mapping Open-Pit Mines

Canh

Cuong

Long

et al. 2020

View full text Add to dashboard Cite

Open-pit coal mines’ terrain is often complex and quickly and frequently changes. Therefore, topographic surveys of open-pit mines are undertaken on a daily basis. While these tasks are very time-consuming and costly with traditional methods such as total station and GNSS, the unmanned aerial vehicle (UAV) based method can be more efficient. This method is a combination of the “Structure from motion” (SfM) photogrammetry technique and UAV photogrammetry which has been widely used in topographic surveying. With an increasing popularity of RTK-enabled drones, it is becoming even more powerful method. While the important role of ground control points (GCP) in the accuracy of digital surface model (DSM) generated from images acquired by “traditional” UAVs (not RTK-enabled drones) has been proved in many previous studies, it is not clear in the case of RTK-enabled drones, especially for complex terrain in open-pit coal mines. In this study, we experimentally investigated the influence of GCP regarding its numbers and distribution on the accuracy of DSM generation from images acquired by RTK-enabled drones in open-pit coal mines. In addition, the Post Processing Kinematic (PPK) mode was executed over a test field with the same flight altitude. DSM generation was performed with several block control configurations: PPK only, PPK with one GCP, and PPK with two GCPs. Several positions of GCPs were also examined to test the optimal locations for placing GCPs to achieve accurate DSMs. The results show that the horizontal and vertical accuracy given by PPK only were 9.3 and 84.4 cm, respectively. However, when adding at least one GCP, the accuracy was significantly improved in both horizontal and vertical components, with RMSE for XY and Z ranging between 3.8 and 9.8 cm (with one GCP) and between 3.0 and 5.7 cm (with two GCPs), respectively. Also, the GCPs placed in the deep areas of the open-pit mine could ensure the cm-level accuracy.

show abstract

Section: Introductionmentioning

confidence: 98%

“…Mine surveying is one of the most critical tasks in openpit mines (Nguyen Quoc Long et al, 2019). Surveying engineering, topological survey, and volumetric computation are undertaken on a daily basis (Le Van Canh et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Experimental Investigation on the Performance of DJI Phantom 4 RTK in the PPK Mode for 3D Mapping Open-Pit Mines

Canh

Cuong

Long

et al. 2020

View full text Add to dashboard Cite

show abstract

“…With the advanced development of unmanned aerial vehicle (UAV) technology in recent years, UAV has been applied in different mining activities including pit and dump manage-ment (Padró et al, 2019), stockpile computation (Le, 2020;Raeva et al, 2016), blast-induced ground vibration (X.-N. Bui et al, 2020), and 3D mapping open-pit mines (D. T. Bui et al, 2017; N. Q. Long et al, 2019;Nghia, 2020). In the field of mining environment management, it is noted that UAV carrying modular gas sensors is an effective monitoring system of air quality (Rohi et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

3D Spatial Interpolation Methods for Open-Pit Mining Air Quality with Data Acquired by Small UAV Based Monitoring System

Long¹,

Cuong

Canh

et al. 2020

View full text Add to dashboard Cite

Open-pit mining activities, including blasting, drilling, loading, and transport, often result in the direct emission of particulates and gases into the atmosphere. Occupational exposure to these pollutants is considered as the risk for health, especially the risk of developing respiratory diseases. An air quality monitoring system and spatial analysis are necessary to identify these potential hazards. In this study, we propose an air quality monitoring system that integrates gas and dust sensors into a small multi-rotor copter or unmanned aerial vehicle (UAV). Different spatial interpolation methods including trilinear interpolation, nearest neighbour, and natural neighbour applied to the monitoring data (CO, SO2, PM2.5, CO2) from our system to derive air concentration levels in the atmosphere of open-pit coal mines were also examined. The results show that the UAV based air quality monitoring system performed efficiently and safely in conditions of deep open-pit coal mines. In addition, for the estimation of the concentration level of gases and dust in unsampled points, trilinear interpolation performed with the most accurate result, followed by natural neighbor and nearest neighbor.

show abstract

“…Application of UAV data in mapping has been studied and used by many scientists. With the advanced development of UAV technology in recent years, UAV has been applied in different mining activities including blast-induced ground vibration (Bui et al, 2020), mapping open-pit mines (Long et al, 2019;Bui et al, 2017;Nghia, 2020), stockpile computation (Canh, 2020), and pollution monitoring (Bui et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Method of Defining the Parameters for UAV Point Cloud Classification Algorithm

Quy¹,

Hien²,

Long³

et al. 2020

View full text Add to dashboard Cite

Image data from Drones/Unmanned Aerial Vehicles (UAVs) has been studied and used extensively for establishing maps. The process of UAV data provides three main products including (Digital Surface Model) DSM, Point cloud and Ortho-photos, in which point cloud is a valuable data source in building 3D models and topographic surfaces as well. However, processing point cloud separately to achieve secondary products has not been received much attention from researchers. This study determines parameters to develop a method for classifying point cloud data constructed from UAV images. Consequently, A 3D surface of the ground is built by applying a developed algorithm for the point cloud data for an open-pit mine. The temporal or non-ground objects such as trees, houses, vehicles are automatically subtracted from the point cloud by the algorithms. According to this line, it is possible to calculate and analyze the amount of reserves, the exploited volume to evaluate the efficiency for each mine during operation with the support of UAV integrated camera.

show abstract

An Approach of Mapping Quarries in Vietnam Using Low-Cost Unmanned Aerial Vehicles

Cited by 6 publications

References 0 publications

Experimental Investigation on the Performance of DJI Phantom 4 RTK in the PPK Mode for 3D Mapping Open-Pit Mines

Experimental Investigation on the Performance of DJI Phantom 4 RTK in the PPK Mode for 3D Mapping Open-Pit Mines

3D Spatial Interpolation Methods for Open-Pit Mining Air Quality with Data Acquired by Small UAV Based Monitoring System

Method of Defining the Parameters for UAV Point Cloud Classification Algorithm

Contact Info

Product

Resources

About