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unmanned aerial vehicles

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Journal Article
Published: 01 February 2017
Journal of Sedimentary Research (2017) 87 (2): 126–132.
...Nora M. Nieminski; Stephan A. Graham Abstract: The ability to view and characterize outcrops that are difficult to study from the ground is greatly improved by aerial investigation. We describe the application of flying a small, unmanned aerial vehicle (UAV) to collect photographic data...
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Journal Article
Journal: Geophysics
Published: 29 September 2021
Geophysics (2021) 86 (6): J21–J32.
...Callum Walter; Alexander Braun; Georgia Fotopoulos ABSTRACT The development of a functional unmanned aerial vehicle (UAV) mounted aeromagnetic system requires integrating a magnetometer payload onboard a UAV platform in a manner that preserves the integrity of the total magnetic field measurements...
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Journal Article
Journal: Geosphere
Published: 04 November 2022
Geosphere (2022) 18 (6): 1958–1973.
...Kathryn M. Bateman; Randolph T. Williams; Thomas F. Shipley; Basil Tikoff; Terry Pavlis; Cristina G. Wilson; Michele L. Cooke; Ake Fagereng Abstract Field geologists are increasingly using unmanned aerial vehicles (UAVs or drones), although their use involves significant cognitive challenges...
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Journal Article
Published: 08 November 2019
Environmental & Engineering Geoscience (2019) 25 (4): 301–317.
...Jordan A. Carey; Nicholas Pinter; Alexandra J. Pickering; Carol S. Prentice; Stephen B. Delong ABSTRACT The combination of unmanned aerial vehicle (UAV) photography with structure-from-motion (SfM) digital photogrammetry provides a quickly deployable and cost-effective method for monitoring...
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Journal Article
Journal: Geophysics
Published: 10 June 2021
Geophysics (2021) 86 (4): R399–R412.
... an exploration system, facilitating the acquisition in these areas by delivering the receivers from the sky using unmanned aerial vehicles. Air dropping of the sensors in vegetated areas results in an irregular geometry for the acquisition. This irregularity can limit the application of conventional surface wave...
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Journal Article
Published: 01 May 2023
Earthquake Spectra (2023) 39 (2): 962–984.
... using unmanned aerial vehicle (UAV) remote sensing systems offer great flexibility and high efficiency with the capability to obtain high-resolution images, which can reflect actual damage to affected areas intuitively. Consequently, UAV remote sensing has become a convenient and important means...
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(a) <span class="search-highlight">Unmanned</span> <span class="search-highlight">aerial</span> <span class="search-highlight">vehicle</span> photo of a retrogressive landslide scar along t...
Published: 03 April 2023
Figure 2. (a) Unmanned aerial vehicle photo of a retrogressive landslide scar along the Göta River, in the study area, marked using the yellow line (see also Figure  1 ). (b) Wireless receivers and 3C-MEMs-based landstreamer nearly collocated (approximately 1 m parallel) and spaced 1 m from each
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<span class="search-highlight">Aerial</span> view of the landslide taken by an <span class="search-highlight">unmanned</span> <span class="search-highlight">aerial</span> <span class="search-highlight">vehicle</span> (view is f...
Published: 04 May 2017
Fig. 3. Aerial view of the landslide taken by an unmanned aerial vehicle (view is from the toe of the slide, towards the source area).
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Histogram illustrating exponential rise of <span class="search-highlight">unmanned</span> <span class="search-highlight">aerial</span> <span class="search-highlight">vehicle</span> (UAV) us...
Published: 04 November 2022
Figure 1. Histogram illustrating exponential rise of unmanned aerial vehicle (UAV) use in geological sciences. Data are the result of a disciplinary ISI Web of Science search in geoscience journals utilizing the words “UAV” or “drones” from 1999 to 2020.
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(Top) <span class="search-highlight">Unmanned</span> <span class="search-highlight">aerial</span> <span class="search-highlight">vehicle</span> (UAV) flight path (yellow) shown on satellite...
Published: 04 November 2022
Figure 3. (Top) Unmanned aerial vehicle (UAV) flight path (yellow) shown on satellite imagery as an expert geologist attempts to trace the path of the Skeleton Canyon fault (SCF; white) near its intersection with Box Canyon Road. Satellite imagery, map data: Google, Landsat/Copernicus. (Bottom
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(Top) <span class="search-highlight">Unmanned</span> <span class="search-highlight">aerial</span> <span class="search-highlight">vehicle</span> (UAV) flight path (yellow) shown on oblique s...
Published: 04 November 2022
Figure 4. (Top) Unmanned aerial vehicle (UAV) flight path (yellow) shown on oblique satellite imagery as an expert geologist traverses perpendicular to the strike of two exposed faults (Skeleton Canyon fault “SCF” and an unnamed fault in white) near their inferred intersection. Satellite imagery
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(Top) <span class="search-highlight">Unmanned</span> <span class="search-highlight">aerial</span> <span class="search-highlight">vehicle</span> (UAV) flight path (yellow) shown on oblique s...
Published: 04 November 2022
Figure 5. (Top) Unmanned aerial vehicle (UAV) flight path (yellow) shown on oblique satellite imagery illustrating an expert geologist using the UAV to gain elevation to better observe the relationship between two faults (white; Painted Canyon fault “PCF”). Satellite imagery, map data: Google
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Schematic illustrations of <span class="search-highlight">unmanned</span> <span class="search-highlight">aerial</span> <span class="search-highlight">vehicle</span> (UAV) strategies to miti...
Published: 04 November 2022
Figure 6. Schematic illustrations of unmanned aerial vehicle (UAV) strategies to mitigate difficulties associated with rapidly changing scale and view direction. UAV motion/orientation axes and camera pose schematics depict constant (solid line/arrow) or variable (dashed line/arrow) values
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Pseudo-3D 200 MHz GPR cube. In (a), the <span class="search-highlight">unmanned</span> <span class="search-highlight">aerial</span> <span class="search-highlight">vehicle</span> image showi...
Published: 28 October 2022
Figure 6. Pseudo-3D 200 MHz GPR cube. In (a), the unmanned aerial vehicle image showing: the perimeter of the surveyed cube (in red), the location of the studied GPR section shown in (d) (in blue), and the locations of field scanlines to measure fracture apertures (in orange). In (b
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<span class="search-highlight">UNMANNED</span> <span class="search-highlight">AERIAL</span> <span class="search-highlight">VEHICLE</span> SURVEY DATA MODELING PARAMETERS AND RESULTS
Published: 05 June 2020
TABLE 1. UNMANNED AERIAL VEHICLE SURVEY DATA MODELING PARAMETERS AND RESULTS
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(A) Downward-looking <span class="search-highlight">unmanned</span> <span class="search-highlight">aerial</span> <span class="search-highlight">vehicle</span> (UAV) image taken on 27 Octobe...
Published: 01 February 2021
Figure 10. (A) Downward-looking unmanned aerial vehicle (UAV) image taken on 27 October 2016 showing channel infill post-fire and pre-storm. (B) Similar downward-looking UAV image taken on 21 December 2016 showing where channel infill was excavated and deposition of the debris flow fan overlying
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Lake Peak <span class="search-highlight">unmanned</span> <span class="search-highlight">aerial</span> <span class="search-highlight">vehicle</span> (UAV) survey site ( Figs. 6  and  8B ). T...
Published: 05 June 2020
Figure 9. Lake Peak unmanned aerial vehicle (UAV) survey site ( Figs. 6 and 8B ). Two surveys using manual flight mode were combined for generation of a surface model along the fault scarp. (A) UAV digital elevation model (5 cm resolution)–derived shaded relief (lighting direction from
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<span class="search-highlight">Unmanned</span> <span class="search-highlight">aerial</span> <span class="search-highlight">vehicle</span> (drone) images of: ( a ) from centre of CLO looking...
Published: 25 June 2019
Fig. 2. Unmanned aerial vehicle (drone) images of: ( a ) from centre of CLO looking southward of part of central embayment and southern embayment; ( b ) looking northward of northern embayment (BGS©UKRI).
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<span class="search-highlight">Unmanned</span> <span class="search-highlight">aerial</span> <span class="search-highlight">vehicle</span> (drone) image looking westward of central embayment...
Published: 25 June 2019
Fig. 3. Unmanned aerial vehicle (drone) image looking westward of central embayment of CLO. Note: Seaside Road (BGS©UKRI)
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Simplified <span class="search-highlight">unmanned</span> <span class="search-highlight">aerial</span> <span class="search-highlight">vehicle</span> data collection parameters programmed in...
Published: 02 October 2018
Figure 3. Simplified unmanned aerial vehicle data collection parameters programmed into the eBee autopilot: 90% overlap between successive images (blue rectangles to the left), 75% sidelap between flight lines (blue rectangles at the top), and a second flight (gray lines) programmed to fly