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Acquisition of Data for Building Photogrammetric Virtual  Outcrop Models for the Geosciences using Remotely Piloted  Vehicles (RPVs)

Acquisition of Data for Building Photogrammetric Virtual Outcrop Models for the Geosciences using Remotely Piloted Vehicles (RPVs)

This is a Preprint and has not been peer reviewed. This is version 1 of this Preprint.

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Authors

John Howell, Magda Chmielewska, Conor Lewis, Simon Buckley, Nicole Naumann, Jessica Pugsley

Abstract

Over the past five years the use of 3D models in the Earth Sciences has become ubiquitous. These models, termed Virtual outcrops, are most commonly generated using Structure from Motion (SfM) photogrammetry, an image-based modelling method that has achieved widespread uptake and utilization. Data for these models is commonly acquired using remotely piloted aerial vehicles (RPVs), commonly called drones. The purpose of this document is to present a basic acquisition methodology, which is based on the workflows used by the authors for the acquisition of over 500 virtual outcrops over the last decade.

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DOI

https://doi.org/10.31223/X54914

Subjects

Earth Sciences, Environmental Sciences

Keywords

Digital Outcrop Model, Remote piloted vehicle, RPV, V3Geo.com, Virtual Geology, Virtual Fieldtrip

Dates

Published: 2021-09-14 17:41

Last Updated: 2021-09-15 00:41

License

CC BY Attribution 4.0 International

Additional Metadata

Conflict of interest statement:
None

Data Availability (Reason not available):
All data are available