Unmanned Aerial Vehicle Use for Wood Chips Pile Volume Estimation

Mokroš, Martin; Tabačák, M.; Lieskovský, M.; Fabrika, M.

doi:10.5194/isprsarchives-xli-b1-953-2016

Cited by 3 publications

(4 citation statements)

References 6 publications

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“…Since the high accuracy of UAV photogrammetry or oblique photography, many types of research have been conducted. Mokroš et al 1 used poles for scale reference and done monocular 3D reconstruction with a single UAV, obtaining a volume error about 10% between values calculated from global navigation satellite system (GNSS) data under an average reconstruction density of 75; 300 points per m 3 . In the work of Nesbit and Hugenholtz, 3 the steep part of structure from motion reconstruction results from UAVs are enhanced by incorporating oblique images.…”

Section: Uav Photogrammetrymentioning

confidence: 99%

“…Densely reconstruct the entire pile with oblique photography, photogrammetry, or light detection and ranging (LiDAR) to get the detailed mesh, and then compute the volume of mesh. 1,2 However, these approaches require either intensive human resource or high computational power, causing high time usage in volume calculation. For better illustration, a 11; 500m 3 pile requires more than 3 h to measure with a TST 2 ; for dense reconstruction approaches, a typical landfill base of approximately 53; 628m 2 can take more than 1 day for a modern computer to reconstruct.…”

Section: Introductionmentioning

confidence: 99%

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Aerial–ground collaborative 3D reconstruction for fast pile volume estimation with unexplored surroundings

Liu

et al. 2020

International Journal of Advanced Robotic Systems

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Fast and accurate pile volume estimation is a very important basic problem in mining, waste sorting, and waste disposing industry. Nevertheless, for rapid changing or badly conditioned piles like stockpiles or landfills, conventional approaches involving massive measurements may not be applicable. To solve these problems, in this work, by utilizing unmanned aerial vehicles and unmanned ground vehicles equipped with a camera, we propose a collaborative framework to estimate volumes of free-formed piles accurately in short time. Compensating aerial- and ground views enable the reconstruction of piles with steep sides that is hard to be observed by single unmanned aerial vehicle. With the help of red-green-blue image sequences captured by unmanned aerial vehicles, we are able to distinguish piles from the ground in reconstructed point clouds and automatically eliminate concave on the ground while estimating pile volume. In the experiments, we compared our method to state-of-the-art dense reconstruction photogrammetry approaches. The results show that our approach for pile volume estimation has proved its feasibility for industrial use and its availability to free-formed piles on a different scale, providing high-accuracy estimation results in short time.

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Section: Uav Photogrammetrymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Aerial–ground collaborative 3D reconstruction for fast pile volume estimation with unexplored surroundings

Liu

et al. 2020

International Journal of Advanced Robotic Systems

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“…Mokroš et al [19] used a commercial low-cost quadcopter (DJI Phantom 3 Professional) to fly at an altitude of ~20 meters in order to estimate the volume of wood chips pile. After comparing the results with the volume resulted with a GNSS (Global Navigation Satellite System) device, the authors concluded that the use of UAVS does not lead to significantly different results (10.4% more volume estimated via drone method) and the time to collect data is significantly lower (12-20 times less) with the advantage of documentation through ortho mosaic [19].…”

Section: Precision Forestry and Sustainable Forest Planning Managementmentioning

confidence: 99%

The Use of Drones in Forestry

Banu¹,

Borlea²,

Banu³

2016

JESE-B

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Recently, drones have found applicability in a variety of study fields, one of these being forestry, where an increasing interest is given to this segment of technology, especially due to the high-resolution data that can be collected flexibly in a short time and at a relatively low price. Also, drones have an important role in filling the gaps of common data collected using manned aircraft or satellite remote sensing, while having many advantages both in research and in various practical applications particularly in forestry as well as in land use in general. This paper aims to briefly describe the different approaches of applications of UAVs (Unmanned Aircraft Vehicles) in forestry, such as forest mapping, forest management planning, canopy height model creation or mapping forest gaps. These approaches have great potential in the near future applications and their quick implementation in a variety of situations is desirable for the sustainable management of forests.

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“…Geodetic ranging poles were used to determine the scale. Agisoft PhotoScan Professional software was used to determine the volume and surface of the woodchip piles [18][19].…”

Section: Materials and Experimental Pilesmentioning

confidence: 99%

Biological Risks from Long-Term Storage of Wood Chips

Lieskovský¹,

Gejdoš²,

Messingerová³

et al. 2017

Pol. J. Environ. Stud.

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Renewable energy sources based on wood are becoming increasingly important and popular. However, their increased consumption is inevitably connected with questioning their quality [1][2]. Quality is in specific cases determined by the method of production and the storage process [3][4]. The quality of wood chips is at present evaluated according to the calorific value and moisture content, which are often influenced, besides the wood species itself, by weather conditions and storage method [5][6][7][8][9]. The increased number of plants using wood chips as a source of energy is connected with raising the question of health and safety hazards associated with the production and storage of wood chips. The factors most hazardous for human health are represented by the hazards associated with the activity of fungi and moulds in Pol. J. Environ. Stud. Vol. 26, No. 6 (2017), 2633-2641 AbstractThe aim of our study was to monitor and analyze the main biological hazards connected to the long-term storage of wood chips for energy production. The analysis was carried out in four high-capacity storage yards of the town heating plants in the Banská Bystrica self-governing region in Slovakia. Five samples were taken from each pile of a rectangular shape and volume over 4,000 m 3 ; the sampling was carried out at the beginning of the monitoring period and at the end of the monitoring period (after one year). Thirtyfour species of microscopic fungi were identified (18 at the beginning of the monitoring period and 16 at the end of the monitoring period). Thirty-three of them can potentially cause severe diseases. Fungi of the genus Aspergillus, causing severe diseases, were identified as the most abundant. The research confirmed that if the length of storage time is more than a year, the potential hazards for human health increase due to the increasing number of spore-forming pathogens. Following the monitoring of atmospheric conditions the highest increase of harmful spores was recorded at the average annual temperature of 10ºC and precipitation of over 1,000 mm a year.

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Unmanned Aerial Vehicle Use for Wood Chips Pile Volume Estimation

Cited by 3 publications

References 6 publications

Aerial–ground collaborative 3D reconstruction for fast pile volume estimation with unexplored surroundings

Aerial–ground collaborative 3D reconstruction for fast pile volume estimation with unexplored surroundings

The Use of Drones in Forestry

Biological Risks from Long-Term Storage of Wood Chips

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