EVALUATING the QUALITY of PHOTOGRAMMETRIC POINT-CLOUDS in CHALLENGING GEO-ENVIRONMENTS - A CASE STUDY in AN ALPINE VALLEY

Karantanellis E, Arav R, Dille A, Lippl S, Marsy G, Torresani L, Oude Elberink S (2020)

Publication Type: Conference contribution

Publication year: 2020

Publisher: International Society for Photogrammetry and Remote Sensing

Book Volume: 43

Pages Range: 1099-1105

Conference Proceedings Title: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

Event location: Nice FR

DOI: 10.5194/isprs-archives-XLIII-B2-2020-1099-2020

Abstract

Precise and accurate three-dimensional geospatial data has become increasingly available thanks to advances in both Terrestrial Laser Scanning (TLS) and Structure-from-Motion Photogrammetry (SfM). These tools provide valuable information for mapping geomorphological features and detect surface changes in mountainous environments. The exploitation of 3D point-clouds has been proven tremendously useful in the field of geosciences. It remains, however, controversial whether cost efficient photogrammetry can provide as accurate and reliable geospatial information as the significantly more expensive laser scanning or not. In this study, a rockfall case site in the territory of Obergurgl, Austria, is investigated in order to provide answers to the above question in a complex environment. The analysis includes different terrestrial photogrammetry configurations aiming to comprehensively define the strengths and limitations of terrestrial photogrammetry over TLS. The latter constitutes an optimized methodology that provides guidelines for costly future assessments as part of the site investigation phase in geohazard management. There are no doubts that compared to traditional and conventional surveying methods TLS and Photogrammetry both offer products much faster and with a much higher data density. In the current study, we show that when photogrammetry is applied following a well-defined optimized strategy, it can be potentially an adequate alternative to more costly TLS datasets for mass movement assessment and monitoring purposes.

Authors with CRIS profile

Stefan Lippl Institut für Geographie

Involved external institutions

Aristotle University of Thessaloniki GR Greece (GR) Technion - Israel Institute of Technology IL Israel (IL) University of Padua / Universita degli Studi di Padova IT Italy (IT) University of Twente NL Netherlands (NL) University of Savoy Mont Blanc / Université Savoie Mont Blanc FR France (FR)

How to cite

APA:

Karantanellis, E., Arav, R., Dille, A., Lippl, S., Marsy, G., Torresani, L., & Oude Elberink, S. (2020). EVALUATING the QUALITY of PHOTOGRAMMETRIC POINT-CLOUDS in CHALLENGING GEO-ENVIRONMENTS - A CASE STUDY in AN ALPINE VALLEY. In Nicolas Paparoditis, Clement Mallet, Florent Lafarge, Fabio Remondino, Isabella Toschi, Takashi Fuse (Eds.), International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives (pp. 1099-1105). Nice, FR: International Society for Photogrammetry and Remote Sensing.

MLA:

Karantanellis, E., et al. "EVALUATING the QUALITY of PHOTOGRAMMETRIC POINT-CLOUDS in CHALLENGING GEO-ENVIRONMENTS - A CASE STUDY in AN ALPINE VALLEY." Proceedings of the 2020 24th ISPRS Congress - Technical Commission II, Nice Ed. Nicolas Paparoditis, Clement Mallet, Florent Lafarge, Fabio Remondino, Isabella Toschi, Takashi Fuse, International Society for Photogrammetry and Remote Sensing, 2020. 1099-1105.

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