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| Titel |
Comparing results from actual and virtual linear scanlines in fractured sandstones of the Marnoso-Arenacea Formation, Northern Apennines, Italy |
| VerfasserIn |
Angelo Borsani, Fabrizio Balsamo, Andrea Bistacchi, Kei Ogata, Fabrizio Storti, Marcos Fetter |
| Konferenz |
EGU General Assembly 2016
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| Medientyp |
Artikel
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| Sprache |
en
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 18 (2016) |
| Datensatznummer |
250123616
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| Publikation (Nr.) |
 EGU/EGU2016-2902.pdf |
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| Zusammenfassung |
| Three-dimensional photogrammetric techniques arecommonly used to generate
high-resolution digital outcrop models suitable to complement stratigraphic and
structural field studies. This is particularly true for near vertical outcrops were direct
data collection is very difficult to perform, provided that the data are reliable. To
check whether fracture attribute data acquired from photogrammetric digital outcrop
models can be effectively integrate field data, we performed a multisource data
acquisition programme on the master joint set affecting the Langhian part of the Marnoso
Arenacea Formation, a foredeep siliciclastic turbidite succession widely exposed in the
external sector of the Northern Apennines. We selected an about 90 m high vertical
cliff in a meander of the Santerno River, which was surveyed by both terrestrial
and drone-aided photogrammetry to produce two different digital outcrop models
of the same strata. Moreover, field data were collected in the same strata along
river bed exposures few hundred meters upstream. Comparison of master joint
attributes, namely orientation, spacing and height, collected along linear scanlines in
the field and in the two digital outcrop models shows quite comparable results,
particularly when FSI (Fracture Spacing Index) values are considered. Sensitivity tests of
the impact of the number of data on the statistical results from photogrammetric
scanlines, where hundreds of measurements can be collected along each scan line,
were also performed. Our results provide further support to the effectiveness of
the integration between field and photogrammetrically-obtained structural data
to study fracture densities in partially accessible exposures. Given the large data
numbers that can be collected in digital outcrop models, once validated in the field,
photogrammetric data allow robust statistical analysis to be performed on fracture attributes. |
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