2021
DOI: 10.1130/gsatg506a.1
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Virtual Outcrops in a Pocket: The Smartphone as a Fully Equipped Photogrammetric Data Acquisition Tool

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Cited by 15 publications
(8 citation statements)
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“…The commonness of smartphones nowadays, together with advances in sensor technologies, opens new possibilities for scientific applications as well as low-cost, crowd-sourced observations in mapping surface changes and the participation of citizens in science 19 21 . SfM MVS smartphone photogrammetry takes advantage of the build in accelerometer, magnetometer, gyroscope and GNSS antennas for model scaling and registration.…”
Section: Introductionmentioning
confidence: 99%
“…The commonness of smartphones nowadays, together with advances in sensor technologies, opens new possibilities for scientific applications as well as low-cost, crowd-sourced observations in mapping surface changes and the participation of citizens in science 19 21 . SfM MVS smartphone photogrammetry takes advantage of the build in accelerometer, magnetometer, gyroscope and GNSS antennas for model scaling and registration.…”
Section: Introductionmentioning
confidence: 99%
“…Howell & Burnham, 2021). The most significant advancement in recent years is related to more accessible and user-friendly workflows that generate high-resolution photorealistic 3D digital representations of outcrops and landscapes using Unmanned Aerial Vehicles (UAV) (Nesbit et al, 2018) and smart phones (Corradetti et al, 2021). Cawood et al (2017) compare methods of digital outcrop model creation from lidar with ground based and UAV generated photogrammetry, contrasting the relative errors in bed geometry of a well exposed syncline.…”
Section: Digital and Virtual Outcropsmentioning
confidence: 99%
“…In recent years, geological surveying in the field has benefited from the new digital revolution, reaching a mature procedure that continuously improves in its efficiency [17][18][19]. The available technology allows for the easy acquisition of spatial data, using different methodological approaches and data sources at variable scales [20].…”
Section: Introductionmentioning
confidence: 99%