1-20 OF 488 RESULTS FOR

unmanned aerial vehicles

Results shown limited to content with bounding coordinates.
Save search
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Journal Article

On-demand high-resolution areal scouting via unmanned aerial vehicles enables sustainable near-surface geoscience data acquisition

Ahmad Ihsan Ramdani, Pavel Golikov, Khaled Alsoqair, Valerii Serpiva, Ezzedeen Alfataierge
Journal: The Leading Edge
Published: 01 August 2024
The Leading Edge (2024) 43 (8): 494–505.
DOI: https://doi.org/10.1190/tle43080494.1
... imagery to design a detailed acquisition plan. This paper presents a concept that utilizes unmanned aerial vehicles (UAVs) to successfully and sustainably perform on-demand high-resolution areal scouting to aid near-surface geoscience data acquisition campaigns and seismic drone deployment. We share...
FIGURES | View All (10)
View PDF for article title, On-demand high-resolution areal scouting via <span class="search-highlight">unmanned</span> <span class="search-highlight">aerial</span> <span class="search-highlight">vehicles</span> enables sustainable near-surface geoscience data acquisition
Purchase
Add to Citation Manager for On-demand high-resolution areal scouting via <span class="search-highlight">unmanned</span> <span class="search-highlight">aerial</span> <span class="search-highlight">vehicles</span> enables sustainable near-surface geoscience data acquisition
Journal Article

Modeling Stratigraphic Architecture Using Small Unmanned Aerial Vehicles and Photogrammetry: Examples From the Miocene East Coast Basin, New Zealand

Nora M. Nieminski, Stephan A. Graham
Published: 01 February 2017
Journal of Sedimentary Research (2017) 87 (2): 126–132.
DOI: https://doi.org/10.2110/jsr.2017.5
...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...
FIGURES | View All (4)
View PDF for article title, Modeling Stratigraphic Architecture Using Small <span class="search-highlight">Unmanned</span> <span class="search-highlight">Aerial</span> <span class="search-highlight">Vehicles</span> and Photogrammetry: Examples From the Miocene East Coast Basin, New Zealand
Purchase
Add to Citation Manager for Modeling Stratigraphic Architecture Using Small <span class="search-highlight">Unmanned</span> <span class="search-highlight">Aerial</span> <span class="search-highlight">Vehicles</span> and Photogrammetry: Examples From the Miocene East Coast Basin, New Zealand
Journal Article

Characterizing electromagnetic interference signals for unmanned aerial vehicle geophysical surveys

Callum Walter, Alexander Braun, Georgia Fotopoulos
Journal: Geophysics
Published: 29 September 2021
Geophysics (2021) 86 (6): J21–J32.
DOI: https://doi.org/10.1190/geo2020-0895.1
...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...
FIGURES | View All (12)
View PDF for article title, Characterizing electromagnetic interference signals for <span class="search-highlight">unmanned</span> <span class="search-highlight">aerial</span> <span class="search-highlight">vehicle</span> geophysical surveys
Purchase
Add to Citation Manager for Characterizing electromagnetic interference signals for <span class="search-highlight">unmanned</span> <span class="search-highlight">aerial</span> <span class="search-highlight">vehicle</span> geophysical surveys
Journal Article

The aerodynamic assessment and shotpoint position accuracy of an unmanned aerial vehicle seismic source

Zhenning Ma, Rongyi Qian, Yu Zhao, Yinhu Huang, Zhiyong Wu, Jun Zhang, Xu Liu
Journal: Geophysics
Published: 18 February 2025
Geophysics (2025) 90 (2): P1–P12.
DOI: https://doi.org/10.1190/geo2023-0674.1
...Zhenning Ma; Rongyi Qian; Yu Zhao; Yinhu Huang; Zhiyong Wu; Jun Zhang; Xu Liu ABSTRACT An unmanned aerial vehicle (UAV) seismic source, suitable for complex terrains due to its eco-friendly, cost-effective, and efficient nature, operates by hovering and releasing impact objects to generate seismic...
FIGURES | View All (20)
View PDF for article title, The aerodynamic assessment and shotpoint position accuracy of an <span class="search-highlight">unmanned</span> <span class="search-highlight">aerial</span> <span class="search-highlight">vehicle</span> seismic source
Purchase
Add to Citation Manager for The aerodynamic assessment and shotpoint position accuracy of an <span class="search-highlight">unmanned</span> <span class="search-highlight">aerial</span> <span class="search-highlight">vehicle</span> seismic source
Journal Article

Strategies for effective unmanned aerial vehicle use in geological field studies based on cognitive science principles

Kathryn M. Bateman, Randolph T. Williams, Thomas F. Shipley, Basil Tikoff, Terry Pavlis, Cristina G. Wilson, Michele L. Cooke, Ake Fagereng
Journal: Geosphere
Published: 04 November 2022
Geosphere (2022) 18 (6): 1958–1973.
DOI: https://doi.org/10.1130/GES02440.1
...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...
FIGURES | View All (7)
View PDF for article title, Strategies for effective <span class="search-highlight">unmanned</span> <span class="search-highlight">aerial</span> <span class="search-highlight">vehicle</span> use in geological field studies based on cognitive science principles
Add to Citation Manager for Strategies for effective <span class="search-highlight">unmanned</span> <span class="search-highlight">aerial</span> <span class="search-highlight">vehicle</span> use in geological field studies based on cognitive science principles
Journal Article

Analysis of Landslide Kinematics Using Multi-temporal Unmanned Aerial Vehicle Imagery, La Honda, California

Jordan A. Carey, Nicholas Pinter, Alexandra J. Pickering, Carol S. Prentice, Stephen B. Delong
Published: 08 November 2019
Environmental & Engineering Geoscience (2019) 25 (4): 301–317.
DOI: https://doi.org/10.2113/EEG-2228
...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...
FIGURES | View All (9)
View PDF for article title, Analysis of Landslide Kinematics Using Multi-temporal <span class="search-highlight">Unmanned</span> <span class="search-highlight">Aerial</span> <span class="search-highlight">Vehicle</span> Imagery, La Honda, California
Purchase
Add to Citation Manager for Analysis of Landslide Kinematics Using Multi-temporal <span class="search-highlight">Unmanned</span> <span class="search-highlight">Aerial</span> <span class="search-highlight">Vehicle</span> Imagery, La Honda, California
Journal Article

Multimodal surface-wave tomography to obtain S- and P-wave velocities applied to the recordings of unmanned aerial vehicle deployed sensors

Farbod Khosro Anjom, Thomas Jules Browaeys, Laura Valentina Socco
Journal: Geophysics
Published: 10 June 2021
Geophysics (2021) 86 (4): R399–R412.
DOI: https://doi.org/10.1190/geo2020-0703.1
... 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...
FIGURES | View All (22)
View PDF for article title, Multimodal surface-wave tomography to obtain S- and P-wave velocities applied to the recordings of <span class="search-highlight">unmanned</span> <span class="search-highlight">aerial</span> <span class="search-highlight">vehicle</span> deployed sensors
Purchase
Add to Citation Manager for Multimodal surface-wave tomography to obtain S- and P-wave velocities applied to the recordings of <span class="search-highlight">unmanned</span> <span class="search-highlight">aerial</span> <span class="search-highlight">vehicle</span> deployed sensors
Journal Article

Scaling laws of karst dissolution features: Evidence from three-dimensional unmanned aerial vehicle imaging and ground-penetrating radar analyses

Juliana A. G. Lopes, Walter E. Medeiros, Renato R. S. Dantas, Josibel G. Oliveira, Jr., Flávio L. Santana, Francisco H. R. Bezerra
Journal: AAPG Bulletin
Published: 01 January 2025
AAPG Bulletin (2025) 109 (1): 35–56.
DOI: https://doi.org/10.1306/09202423118
... the geometric dimensions of karst dissolution features on the surface and underground, using three-dimensional unmanned aerial vehicle and ground-penetrating radar data sets. We first confirmed that ellipsoids can effectively approximate karst dissolution features. Subsequently, we demonstrated...
FIGURES | View All (14)
View PDF for article title, Scaling laws of karst dissolution features: Evidence from three-dimensional <span class="search-highlight">unmanned</span> <span class="search-highlight">aerial</span> <span class="search-highlight">vehicle</span> imaging and ground-penetrating radar analyses
Purchase
Add to Citation Manager for Scaling laws of karst dissolution features: Evidence from three-dimensional <span class="search-highlight">unmanned</span> <span class="search-highlight">aerial</span> <span class="search-highlight">vehicle</span> imaging and ground-penetrating radar analyses
Journal Article

Unmanned Aerial Vehicle Aeromagnetic Analyses Reveal the Causative Faults and Seismogenic Mechanism of the 2021 M s 6.0 Luxian, China, Earthquake

Junhao Zhao, Liguo Jiao, Yu Lei, Jiyao Tu
Published: 11 August 2023
Seismological Research Letters (2023) 94 (6): 2627–2641.
DOI: https://doi.org/10.1785/0220230029
... by the northeast‐striking fault belt, but the long axis of the isoseismic line, distribution of early aftershocks and coseismic rupture plane all strike northwest, posing challenges to the seismogenic mechanism. To investigate this, we conducted a 400 km 2 unmanned aerial vehicle (UAV) aeromagnetic survey near...
FIGURES | View All (9)
View PDF for article title, <span class="search-highlight">Unmanned</span> <span class="search-highlight">Aerial</span> <span class="search-highlight">Vehicle</span> Aeromagnetic Analyses Reveal the Causative Faults and Seismogenic Mechanism of the 2021 M s 6.0 Luxian, China, Earthquake
Purchase
Add to Citation Manager for <span class="search-highlight">Unmanned</span> <span class="search-highlight">Aerial</span> <span class="search-highlight">Vehicle</span> Aeromagnetic Analyses Reveal the Causative Faults and Seismogenic Mechanism of the 2021 M s 6.0 Luxian, China, Earthquake
Includes: Supplemental Content
Journal Article

Unmanned Aerial Vehicle (Customised Octacopter Drone) based Magnetic Survey for Exploration of Mn-Fe in Sidhan Block, Jabalpur District, Madhya Pradesh, India

Abhijeet Mukherjee, Nikhil Sarwate, V.M. Tiwari, Ram Raj Mathur, C.B. Verma
Published: 01 August 2024
Jour. Geol. Soc. India (2024) 100 (8): 1208–1209.
DOI: https://doi.org/10.17491/jgsi/2024/173968
... with a Magnetic Sensor for the first time in India for Mineral Exploration using an Unmanned Aerial System. Unmanned Aerial Vehicle/Drone-based Magnetic Surveys (DMS) are an innovative method used in geophysical exploration to map subsurface magnetic properties. They offer several advantages over traditional...
FIGURES
View PDF for article title, <span class="search-highlight">Unmanned</span> <span class="search-highlight">Aerial</span> <span class="search-highlight">Vehicle</span> (Customised Octacopter Drone) based Magnetic Survey for Exploration of Mn-Fe in Sidhan Block, Jabalpur District, Madhya Pradesh, India
Add to Citation Manager for <span class="search-highlight">Unmanned</span> <span class="search-highlight">Aerial</span> <span class="search-highlight">Vehicle</span> (Customised Octacopter Drone) based Magnetic Survey for Exploration of Mn-Fe in Sidhan Block, Jabalpur District, Madhya Pradesh, India
Journal Article

Earthquake-induced building damage recognition from unmanned aerial vehicle remote sensing using scale-invariant feature transform characteristics and support vector machine classification

Ying Zhang, Hongmei Guo, Wengang Yin, Zhen Zhao, Changjiang Lu
Published: 01 May 2023
Earthquake Spectra (2023) 39 (2): 962–984.
DOI: https://doi.org/10.1177/87552930231157549
... 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...
FIGURES | View All (15)
View PDF for article title, Earthquake-induced building damage recognition from <span class="search-highlight">unmanned</span> <span class="search-highlight">aerial</span> <span class="search-highlight">vehicle</span> remote sensing using scale-invariant feature transform characteristics and support vector machine classification
Purchase
Add to Citation Manager for Earthquake-induced building damage recognition from <span class="search-highlight">unmanned</span> <span class="search-highlight">aerial</span> <span class="search-highlight">vehicle</span> remote sensing using scale-invariant feature transform characteristics and support vector machine classification
Journal Article

Fluvial architecture of the Burro Canyon Formation using unmanned aerial vehicle-based photogrammetry and outcrop-based modeling: Implications for reservoir performance, Escalante Canyon, southwestern Piceance Basin, Colorado

Sarah A. Clark, Matthew J. Pranter, Rex D. Cole, Zulfiquar A. Reza
Journal: Interpretation
Published: 26 October 2018
Interpretation (2018) 6 (4): T1117–T1139.
DOI: https://doi.org/10.1190/INT-2018-0091.1
... and petrophysical heterogeneity on reservoir performance, conventional field methods are combined with unmanned aerial vehicle-based photogrammetry to create representative outcrop-based reservoir models. Outcrop reservoir models and fluid-flow simulations compare three reservoir scenarios of the Burro Canyon...
FIGURES | View All (18)
View PDF for article title, Fluvial architecture of the Burro Canyon Formation using <span class="search-highlight">unmanned</span> <span class="search-highlight">aerial</span> <span class="search-highlight">vehicle</span>-based photogrammetry and outcrop-based modeling: Implications for reservoir performance, Escalante Canyon, southwestern Piceance Basin, Colorado
Purchase
Add to Citation Manager for Fluvial architecture of the Burro Canyon Formation using <span class="search-highlight">unmanned</span> <span class="search-highlight">aerial</span> <span class="search-highlight">vehicle</span>-based photogrammetry and outcrop-based modeling: Implications for reservoir performance, Escalante Canyon, southwestern Piceance Basin, Colorado
Image
(a) Customised Octacopter Drone-Unmanned Aerial Vehicle (UAV) from Marut. (b) Geometric-Magarrow Cesium Vapour Magnetometer. (c) UAV-based magnetic data acquisition in Sidhan Mn-Fe block (30 m AGL, 50 m spacing). (d) Flight planning in Sidhan Mn-Fe block using Mission Planner Software

(a) Customised Octacopter Drone-Unmanned Aerial Vehicle (UAV) from Marut. ...

Published: 01 August 2024
Fig. 2. (a) Customised Octacopter Drone-Unmanned Aerial Vehicle (UAV) from Marut. (b) Geometric-Magarrow Cesium Vapour Magnetometer. (c) UAV-based magnetic data acquisition in Sidhan Mn-Fe block (30 m AGL, 50 m spacing). (d) Flight planning in Sidhan Mn-Fe block using Mission Planner
Image
Unmanned aerial vehicle–based photogrammetric model and field photographs of the study area in the Bighorn Basin, Wyoming, USA (see Fig. 1). (A) Locations of field-documented sandstones in photogrammetric panels. The red dashed line indicates how the composite section of Figure 3F was constructed. Trenched sections (white bars) include Deer Creek Amphitheater (DCA), Purple Butte (PB), Upper Deer Creek (UDC), and Creek Star Hill (CSH). (B) Field photograph showing the floodplain-rich nature of the studied stratigraphy. (C) Field photograph comparing sinuous and braided channel deposits viewed from a distance. Locations of panels B and C are approximated in panel A.

Unmanned aerial vehicle–based photogrammetric model and field photographs o...

Published: 02 May 2024
Figure 2. Unmanned aerial vehicle–based photogrammetric model and field photographs of the study area in the Bighorn Basin, Wyoming, USA (see Fig. 1 ). (A) Locations of field-documented sandstones in photogrammetric panels. The red dashed line indicates how the composite section of Figure 3F
Image
Aerial view of the landslide taken by an unmanned aerial vehicle (view is from the toe of the slide, towards the source area).

Aerial view of the landslide taken by an unmanned aerial vehicle (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).
Image
Geological structures, earthquakes, unmanned aerial vehicle (UAV) aeromagnetic survey area, and shale gas extraction platforms near the Ms 6.0 earthquake epicenter in Luxian. The relocated earthquake data (including foreshocks and aftershocks that occurred between 1 January 2020 and 22 October 2021) were provided by L. H. Fang and X. W. Li (Li et al., 2022). The inset map in the upper left corner shows the topography of the larger region, with historical earthquakes (≥M 3 since 1970, from the China Earthquake Networks Center [CENC]) indicated by dots. The color version of this figure is available only in the electronic edition.

Geological structures, earthquakes, unmanned aerial vehicle (UAV) aeromagne...

Published: 11 August 2023
Figure 1. Geological structures, earthquakes, unmanned aerial vehicle (UAV) aeromagnetic survey area, and shale gas extraction platforms near the M s  6.0 earthquake epicenter in Luxian. The relocated earthquake data (including foreshocks and aftershocks that occurred between 1 January
Image
(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 other used to acquire the data set presented in this study. (c) The 5 kg sledgehammer vertical impact used as the seismic source and shot locations placed along the receiver line (collocated with the receivers). This study mainly focuses on retrieving shear-wave reflections from the wireless data that were connected to vertical-component geophones.

(a) Unmanned aerial vehicle 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
Image
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.

Histogram illustrating exponential rise of unmanned aerial vehicle (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.
Image
(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, map data: Google, Landsat/Copernicus. (Bottom) Image of the two target faults as observed using the UAV’s onboard camera/video feed. Thickness of the unnamed fault is ~10 m; 33°36’43.04”N, 116°01’36.10” W.

(Top) Unmanned aerial vehicle (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
Image
(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, Landsat/Copernicus). (Bottom) Image of two intersecting faults as observed using the UAV’s onboard camera/video feed. In the upper panel, the height of the cliff face in the foreground is ~220 m. In the lower panel, the maximum thickness of Mecca Formation in the image is ~40 m; 33°37’03.03” N, 115°59’57.00” W.

(Top) Unmanned aerial vehicle (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