Prospects of Using Unmanned Aerial Vehicles in Geomagnetic Surveys

Aleshin, I. M.; Soloviev, Anatoly; Aleshin, Mikhail; Сидоров, Роман; Solovieva, E. N.; Kholodkov, K. I.

doi:10.3103/s0747923920050059

Cited by 5 publications

(3 citation statements)

References 24 publications

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“…For effective and efficient underground tunnel modelling the use of unmanned aerial vehicles (UAVs) or drones-based 3D photogrammetric modelling in inaccessible underground tunnels is a novel and promising method that has the potential to significantly increase the efficiency and accuracy of tunnel mapping and inspection. The new technology, such as unmanned aerial vehicle (UAV) photogrammetry [3][4][5][6][7][8][9], not only combines aerial and terrestrial photogrammetry to open up multiple applications in the near range domain, but it also presents low-cost alternatives to the standard human aerial photogrammetry [10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

UAV Based 3D Photogrammetric Modelling in Underground Inaccessible Tunnel

Bibish,

Toriya,

Fissha

et al. 2023

Preprint

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UAV has become powerful devices for both practitioners and researchers. In recent years, there has been a substantial growth in the usage of UAV for a wide range of applications in research and engineering. UAV are mostly utilized for image capturing techniques due to their time savings, low cost, minimum field work, and high precision. The purpose of this study is to generate an accurate and reliable 3D modelling process using UAVs photogrammetric technology; hence this study allows the techniques to evaluate the practicability of modelling and mapping inaccessible tunnels using images recorded by UAVs and photogrammetry. As a result, the approach was always employed to depict the true state of the place. This research incorporates three experiments. The first experiment is to build a 3D model using only one-directional light source and evaluate the accuracy of 3D photogrammetric model and conducted at the concrete tunnel. The second one is to build a 3D model of underground sewer tunnel using different light sources one-directional and omni-directional. The last experiment was to build 3D model using an UAV system which is developed based on first and second experiment’s result, evaluate an accuracy of 3D photogrammetric model and conducted at the tunnel named in the research as a “pedestrian tunnel. There is certain limitation in this study such as Adding a payload to a drone changed its weight distribution, which affected its stability. If the payload was not properly balanced, it caused the drone to fly unevenly, making it more difficult to control.

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Section: Introductionmentioning

confidence: 99%

UAV Based 3D Photogrammetric Modelling in Underground Inaccessible Tunnel

Bibish,

Toriya,

Fissha

et al. 2023

Preprint

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show abstract

“…The advent of UAVs for aerial magnetometry allowed for better area coverage and faster surveys over the traditional foot-borne magnetometry [Aleshin et al, 2020]. However, the data set obtained by geomagnetic survey using unmanned aerial vehicles (UAVs) is characterized by a high degree of spatial heterogeneity and anisotropy.…”

Section: Introductionmentioning

confidence: 99%

Geomagnetic Survey Interpolation with the Machine Learning Approach

Aleshin

Kholodkov

Malygin

et al. 2022

Russian Journal of Earth Sciences

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This paper portrays the method of UAV magnetometry survey data interpolation. The method accommodates the fact that this kind of data has a spatial distribution of the samples along a series of straight lines (similar to maritime tacks), which is a prominent characteristic of many kinds of UAV surveys. The interpolation relies on the very basic nearest neighbourss algorithm, although augmented with a Machine Learning approach. Such an approach enables the error of less than 5 percent by intelligently adjusting the nearest neighbours algorithm parameters. The method was pilot tested on geomagnetic data with Borok Geomagnetic Observatory UAV aeromagnetic survey data.

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“…Their continued use has resulted in a historical improvement on data acquisition and interpretation methodologies as well as in the development of surveying instruments. One example is the development of modern airborne gravity gradiometers (Zhdanov et al, 2004;Nabighian et al, 2005;Dransfield and Zeng, 2009;Jekeli, 2006) and the increased use of unmanned aerial vehicles for aeromagnetic surveys (e.g., Aleshin et al, 2020;Jiang et al, 2020;Parshin et al, 2020;Walter et al, 2020). These technological developments have yielded the assimilation of the larger potential field data sets needed to achieve higher subsurface detail for reservoir, mineral, and archaeological studies.…”

Section: Introductionmentioning

confidence: 99%

3D Convolution Conjugate Gradient Inversion of Potential Fields in Acoculco Geothermal Prospect, Mexico

Calderón

Gallardo

2022

Front. Earth Sci.

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Potential field data have long been used in geophysical exploration for archeological, mineral, and reservoir targets. For all these targets, the increased search of highly detailed three-dimensional subsurface volumes has also promoted the recollection of high-density contrast data sets. While there are several approaches to handle these large-scale inverse problems, most of them rely on either the extensive use of high-performance computing architectures or data-model compression strategies that may sacrifice some level of model resolution. We posit that the superposition and convolutional properties of the potential fields can be easily used to compress the information needed for data inversion and also to reduce significantly redundant mathematical computations. For this, we developed a convolution-based conjugate gradient 3D inversion algorithm for the most common types of potential field data. We demonstrate the performance of the algorithm using a resolution test and a synthetic experiment. We then apply our algorithm to gravity and magnetic data for a geothermal prospect in the Acoculco caldera in Mexico. The resulting three-dimensional model meaningfully determined the distribution of the existent volcanic infill in the caldera as well as the interrelation of various intrusions in the basement of the area. We propose that these intrusive bodies play an important role either as a low-permeability host of the heated fluid or as the heat source for the potential development of an enhanced geothermal system.

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Prospects of Using Unmanned Aerial Vehicles in Geomagnetic Surveys

Cited by 5 publications

References 24 publications

UAV Based 3D Photogrammetric Modelling in Underground Inaccessible Tunnel

UAV Based 3D Photogrammetric Modelling in Underground Inaccessible Tunnel

Geomagnetic Survey Interpolation with the Machine Learning Approach

3D Convolution Conjugate Gradient Inversion of Potential Fields in Acoculco Geothermal Prospect, Mexico

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