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Investigating the Applicability of Unmanned Aerial Vehicles (UAV) Photogrammetry for the Estimation of the Volume of Stockpiles Cover

Investigating the Applicability of Unmanned Aerial Vehicles (UAV) Photogrammetry for the Estimation of the Volume of Stockpiles

Open Access
|Jan 2021

Figures & Tables

Fig. 1

Diagrammatic representation of the study area.

Table 1

Technical Parameters of DJI Mavic Air UAV.

ComponentsParameter
AircraftTake-off Weight: 430 g, GNSS (GPS + GLONASS), internal storage (8 GB), operating temperature range (0–40°), maximum flight distance (10 km), maximum wind speed resistance (29–38 kph).
Remote ControllerOperating frequency (2.400–2.4835 GHz, 5.725–5.850 GHz), operating temperature (0–40°), battery (2970 mAh).
GimbalMechanical range (Tilt: −100° to 22°, Roll: −30° to 30°, Pan: −12° to 12°), stabilization (3-axis, that is, tilt, roll and pan), controllable range (−90° to 0° as default setting, −90° to +17° as extended setting).
CameraSensor (1/2.3″ CMOS), Lens (FOV: 85°, 35 mm format equivalent to 24 mm, aperture: f/2.8, shooting range: 0.5 m to ∞), photo format (JPEG/DNG (RAW)), supported file format (FAT32).
Intelligent flight batteryCapacity (2375 mAh), voltage (11.55 v), Battery type (LiPo 3S), net weight (140 g)
Mobile device controlOperating frequency (2.400–2.4835 GHz, 5.725–5.850 GHz), maximum transmission distance (80 m) with height of 50 m.
Fig. 2

A chart of the methodology.

Fig. 3

Ground Control Point (GCP) station selection and marking.

Fig. 4

Workflow of the UAV survey and data processing.

Fig. 5a

TIN model of the stockpiles A and Bgenerated from ArcScene.

Fig. 5b

TST generated Digital Elevation Model of the stockpiles

Fig. 6

DEM generated from Agisoft.

Table 2

The calibration coefficient and correlation matrix.

ValueErrorFK1K2K3P1P2
F272.734.21.000.75−0.97−0.98−0.14−0.12
K10.2306250.00081.00−0.84−0.84−0.64−0.49
K2−0.4381330.0027−1.00−1.00−0.23−0.19
K30.2527090.0023−1.00−0.22−0.18
P1−0.003428523.9e-005−1.00−0.62
P20.003463763.2e-005−1.00
Table 3

Average camera location error.

Camera location componentError [m]
X8.35685
Y9.07843
Z3.01858
XY12.339200
Total12.703000
Table 4

Results of the comparative analysis of the volumes obtained from the TST-produced TIN and the UAV-produced DEM.

InstrumentModelStockpile 1 approx. volume [m3]Stockpile 2 approx. volume [m3]Total volume [m3]Difference between the actual volume and cumulative estimated volumeStandard deviationStandard error (degree of uncertainty)
Actual volume from mill machine2750.00
Total stationTST TIN2031.31799.412830.72−80.72±70.23+2.9%
UAVUAV DEM1902.76783.492686.25−63.74±72.23−2.3%
Table 5

Analysis of project execution time.

InstrumentInstrument setupData acquisition timeProcessing timeTotal time spent
[min]
Total Station5721587
UAV5144559
DOI: https://doi.org/10.2478/quageo-2021-0002 | Journal eISSN: 2081-6383 | Journal ISSN: 2082-2103 (formerly 0137-477X)
Language: English
Page range: 25 - 38
Submitted on: Sep 30, 2020
Published on: Jan 29, 2021
Published by: Adam Mickiewicz University
In partnership with: Paradigm Publishing Services
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© 2021 Oluibukun Gbenga Ajayi, John Ajulo, published by Adam Mickiewicz University
This work is licensed under the Creative Commons Attribution 3.0 License.