The use of gigapixel photogrammetry for the understanding of landslide processes in alpine terrain

Saverio Romeo; Lucio Di Matteo; Daniel Scott Kieffer; Grazia Tosi; Aurelio Stoppini; Fabio Radicioni

doi:10.3390/geosciences9020099

The use of gigapixel photogrammetry for the understanding of landslide processes in alpine terrain

Saverio Romeo, Lucio Di Matteo^*, Daniel Scott Kieffer, Grazia Tosi, Aurelio Stoppini, Fabio Radicioni

^*Corresponding author for this work

Institute of Applied Geosciences (2210)

Research output: Contribution to journal › Article › peer-review

Abstract

The work in this paper illustrates an experimental application for geosciences by coupling new and low cost photogrammetric techniques: Gigapixel and Structure-from-Motion (SfM). Gigapixel photography is a digital image composed of billions of pixels (≥1000 megapixels) obtained from a conventional Digital single-lens reflex camera (DSLR), whereas the SfM technique obtains three-dimensional (3D) information from two-dimensional (2D) image sequences. The field test was carried out at the Ingelsberg slope (Bad Hofgastein, Austria), which hosts one of the most dangerous landslides in the Salzburg Land. The stereographic analysis carried out on the preliminary 3D model, integrated with Ground Based Synthetic Aperture Radar Interferometry (GBInSAR) data, allowed us to obtain the main fractures and discontinuities of the unstable rock mass.

Original language	English
Article number	99
Journal	Geosciences
Volume	9
Issue number	2
DOIs	https://doi.org/10.3390/geosciences9020099
Publication status	Published - 1 Feb 2019

Keywords

Gigapixel photogrammetry
Landslide
Remote sensing
Structure-from-Motion

ASJC Scopus subject areas

Earth and Planetary Sciences(all)

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10.3390/geosciences9020099

Cite this

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abstract = "The work in this paper illustrates an experimental application for geosciences by coupling new and low cost photogrammetric techniques: Gigapixel and Structure-from-Motion (SfM). Gigapixel photography is a digital image composed of billions of pixels (≥1000 megapixels) obtained from a conventional Digital single-lens reflex camera (DSLR), whereas the SfM technique obtains three-dimensional (3D) information from two-dimensional (2D) image sequences. The field test was carried out at the Ingelsberg slope (Bad Hofgastein, Austria), which hosts one of the most dangerous landslides in the Salzburg Land. The stereographic analysis carried out on the preliminary 3D model, integrated with Ground Based Synthetic Aperture Radar Interferometry (GBInSAR) data, allowed us to obtain the main fractures and discontinuities of the unstable rock mass.",

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AU - Tosi, Grazia

AU - Stoppini, Aurelio

AU - Radicioni, Fabio

PY - 2019/2/1

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N2 - The work in this paper illustrates an experimental application for geosciences by coupling new and low cost photogrammetric techniques: Gigapixel and Structure-from-Motion (SfM). Gigapixel photography is a digital image composed of billions of pixels (≥1000 megapixels) obtained from a conventional Digital single-lens reflex camera (DSLR), whereas the SfM technique obtains three-dimensional (3D) information from two-dimensional (2D) image sequences. The field test was carried out at the Ingelsberg slope (Bad Hofgastein, Austria), which hosts one of the most dangerous landslides in the Salzburg Land. The stereographic analysis carried out on the preliminary 3D model, integrated with Ground Based Synthetic Aperture Radar Interferometry (GBInSAR) data, allowed us to obtain the main fractures and discontinuities of the unstable rock mass.

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The use of gigapixel photogrammetry for the understanding of landslide processes in alpine terrain

Abstract

Keywords

ASJC Scopus subject areas

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