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Digital Outcrop Model Reconstruction and Interpretation

Authors: Bistacchi, Andrea; Mittempergher, Silvia; Martinelli, Mattia;

Digital Outcrop Model Reconstruction and Interpretation

Abstract

Collecting quantitative and extensive datasets in the field is fundamental in structural geology, stratigraphy, and sedimentology, rock mechanics, and in other fields of the Earth and planetary sciences. Digital Outcrop Models (DOMs) provide a 3D framework for collecting these large datasets and can be obtained from laser scanning or photogrammetric surveys, carried out either with an avionic platform (airplane, helicopter, drone) or with terrestrial methods. In this chapter we review best-practice methods for collecting DOMs, focusing particularly on terrestrial and drone photogrammetric surveys and on critical issues that determine their efficiency, reliability, and accuracy. Then we compare the two main formats for DOMs: point clouds (PC-DOMs) and textured surfaces (TS-DOMs). Finally, we outline typical goals and workflows for the geological interpretation of DOMs on PC- and TS-DOMs, either from laser scanning or photogrammetric surveys.

Country
Italy
Keywords

Data acquisition; Digital outcrop models; Geological interpretation; Photo quality; Photogrammetric surveys; Point clouds; Textured surfaces;

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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