Unmanned Aerial Vehicle Surveying For Monitoring Road Construction Earthworks

Julge, Kalev; Ellmann, Artu; Köök, Romet

doi:10.7250/bjrbe.2019-14.430

Cited by 24 publications

(15 citation statements)

References 20 publications

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“…The impact of flying height is also considered, the higher flight provides larger area coverage, but with larger value of ground sample distance GSD too. However, the higher flight altitudes affect the value of GSD and level of details of the model, but it doesn't create systematic shifts (Julge et al, 2019).The lower the flight height, the more accurate the volume. The maximum difference occurred in the case of flight height 100m which was 0.26% difference (99.74% agreement) between volumes calculated by both methods, or 4.4 cm thickness over the entire surface area.…”

Section: Discussionmentioning

confidence: 99%

“…There are four most frequently used methods for volume computation for different purposes which are : (Tucci et al, 2019) (Julge et al, 2019): 1. Cross sectional method.…”

Section: Methods Of Volume Computationmentioning

confidence: 99%

“…In conclusion, the results demonstrated that the suitability of UAVbased DTM for volume computation at quarry area. (Julge, Ellmann, & Köök, 2019) used unmanned aerial vehicle for monitoring earthwork of road construction. The authors investigate the effect of different heights and the numbers of Ground Control Points were analyzed.…”

Section: Related Workmentioning

confidence: 99%

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Evaluation of Uav-based Dem for Volume Calculation

IDREES

HEETO

2020

juod

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In the latest decades, Unmanned Aerial Vehicles (UAVs) have witnessed rapid growth and it plays a vital role in different fields of engineering and architecture. This technique can also be applied in land surveying as a device in order to measure the 3D ground coordinates and Earth work. The main aim of this paper is to evaluate the accuracy of volume that obtained by using Digital Elevation Model (DEM) derived from UAVs images. In this research, three different flights were performed with DJI phantom 4 pro (25m, 50m, and 100m) with 80% forward and side overlaps at Duhok Dam. Several Ground control points (GCPs) were installed and evenly distributed throughout the study area and their coordinates were determined using GPS-RTK technique for geo-referencing. The data images captured with UAV were processed using Agisoft photoscan Professional software. GPS survey was carried out using Leica viva GS10 base, and GS15 rover for the same place. The volumes acquired by the UAV images including all three flight heights were compared to the volume obtained with GPS survey techniques which considered as a base for comparison. The results showed that the volume calculated with UAV images encountered to the base were compatible with each other with (99. 86%,99. 76% and 99. 74%) for altitudes (25,50, and 100) respectively.

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Section: Discussionmentioning

confidence: 99%

“…There are four most frequently used methods for volume computation for different purposes which are : (Tucci et al, 2019) (Julge et al, 2019): 1. Cross sectional method.…”

Section: Methods Of Volume Computationmentioning

confidence: 99%

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Evaluation of Uav-based Dem for Volume Calculation

IDREES

HEETO

2020

juod

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“…Laser scanners can be mounted on the tripod (terrestrial laser scanning, TLS) and also on moving platforms (mobile laser scanning, MLS). Nowadays, usage of TLS is quite common for a variety of civil engineering applications, including for example as-built surveys and deformation monitoring (see, e.g., [2][3][4][5]), and also for different technical infrastructure (roads, tunnels, bridges) surveys [6][7][8][9]. Today the static TLS has become a standard tool in geodesy that enables achieving sub-centimetre accuracy of the survey points.…”

Section: Introductionmentioning

confidence: 99%

Underground oil shale mine surveying using handheld mobile laser scanners

Ellmann¹,

Kanter²,

Väli³

2021

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The applicability of a handheld mobile laser scanner (MLS) in oil shale mine surveys and subsequent three-dimensional modelling of postextracted surfaces is assessed. Recommendations for optimizing the acquisition and processing of MLS data and visualization of the results are given. The resulting surface geometry accuracy is validated via terrestrial laser scanner (TLS) reference data. Typical discrepancies between TLS and MLS data points remain within 2 and 5 cm in horizontal and vertical directions, respectively. The area of pillars and volumes of the extracted material are estimated by data analysis. The results are compared with those of the conventional mining survey. The detected discrepancies evidence that the laser scanning results provide a realistic outcome due to the evenly and densely spaced points within the point cloud. The result discrepancies between the tested surveying technologies are small and fully satisfy contemporary accuracy requirements. However, the handheld mobile laser scanning appears to be the most suitable method for underground mining surveys. The survey results enable reduction of mining losses and improvementt of the design of mining geometry.

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“…Close-range SfM vs lab measurements <2% 3,000 cm 3 [8] Hay bales UAV vs tape measure (in-situ) <5% 2 to 20 m 3 [9] Natural hill Close-range SfM vs geodetic survey 1.3% 33 m 3 [10] Stone heap Close-range SfM vs geodetic survey 5.1% 34 m 3 [7] Rock dumps Satellite imagery vs terrestrial LiDAR 2% 700 m 3 [11] Rock dumps Satellite imagery vs GNSS 5% 700 m 3 [11] Aggregate stockpile UAV vs truck ticket 2.5% 1,500 m 3 [12] Aggregate stockpile UAV vs LiDAR <1% 3,800 m 3 [13] Aggregate Stockpiles UAV: ArcGIS vs Photoscan Software <0.2% 78 to 5,500 m 3 [14] Earthwork UAV vs truck tickets 2.5% 10,500 m 3 [15] Aggregate stockpile UAV vs total station 3.4% 11,500 m 3 [16] Aggregate stockpile UAV vs plant estimate 0.7% 11,500 m 3 [16] Open pit quarry UAV vs GPS 1.1% 12,700 m 3 [17] Earthwork UAV vs GNSS 1 % 17,000 m 3 [18] Aggregate stockpile UAV vs LiDAR <3% 43,000 to 70,000 m 3 [19] Aggregate stockpile UAV vs GNSS 2.6% and 3.9% Unknown [12] 70 Despite being efficient, inexpensive, and accurate, current UAV surveys are typically limited 71 to areas of less than 1 km 2 . On the other hand, high-resolution satellite imagery can offer nearly 72 global coverage with sub-meter to meter-scale resolution [11].…”

Section: Introductionmentioning

confidence: 99%

Remote Sensing Application in Surveying Statewide Asphalt Pavement Aggregate Stockpile Inventory

Ashtiani¹,

Muench²,

Shean³

2020

Preprint

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This study introduces a remote sensing application using satellite imagery to survey a network-scale aggregate stockpile inventory. First, a real scale aggregate quarry site was surveyed using a small Unmanned Aerial Vehicle (sUAV) to produce digital terrain models that enabled analysis of aggregate pile geometry. Second, a lab experiment was designed and performed to validate the applicability of close-range Structure from Motion (SfM) photogrammetry for measuring aggregate piles' physical properties such as volume and density. The other part of the lab experiment delved into direct measurement of aggregate density under varying compaction efforts. These experimental results, in conjunction with some simplifying assumptions, enabled the calculation of aggregate stockpile volumes and estimated weights from satellite imagery. We estimated that an inventory of 4.4 and 1.1 million metric tons of crushed aggregates and Reclaimed Asphalt Pavement (RAP), respectively, stockpiled in Washington State for asphalt production in 2017. The merit of producing such database was further showcased in an example on the economic and environmental impacts of material transportation. We approximated that hauling aggregates from quarry plants to construction sites within Washington State incurs a cost of about $50 thousand to over $4 million, consumes about 0.25 to 20 TJ of energy, and emits 20 to over 1,500 tons of CO2-eq per asphalt plant annually.

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Unmanned Aerial Vehicle Surveying For Monitoring Road Construction Earthworks

Cited by 24 publications

References 20 publications

Evaluation of Uav-based Dem for Volume Calculation

Evaluation of Uav-based Dem for Volume Calculation

Underground oil shale mine surveying using handheld mobile laser scanners

Remote Sensing Application in Surveying Statewide Asphalt Pavement Aggregate Stockpile Inventory

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