Version 1
: Received: 16 January 2022 / Approved: 18 January 2022 / Online: 18 January 2022 (08:57:43 CET)
Version 2
: Received: 21 December 2022 / Approved: 22 December 2022 / Online: 22 December 2022 (12:55:14 CET)
How to cite:
Mugnai, F.; Masiero, A.; Angelini, R.; Cortesi, I. Integrating UAS Photogrammetry and Digital Image Correlation for Monitoring of Large Landslides. Preprints2022, 2022010248. https://doi.org/10.20944/preprints202201.0248.v2
Mugnai, F.; Masiero, A.; Angelini, R.; Cortesi, I. Integrating UAS Photogrammetry and Digital Image Correlation for Monitoring of Large Landslides. Preprints 2022, 2022010248. https://doi.org/10.20944/preprints202201.0248.v2
Mugnai, F.; Masiero, A.; Angelini, R.; Cortesi, I. Integrating UAS Photogrammetry and Digital Image Correlation for Monitoring of Large Landslides. Preprints2022, 2022010248. https://doi.org/10.20944/preprints202201.0248.v2
APA Style
Mugnai, F., Masiero, A., Angelini, R., & Cortesi, I. (2022). Integrating UAS Photogrammetry and Digital Image Correlation for Monitoring of Large Landslides. Preprints. https://doi.org/10.20944/preprints202201.0248.v2
Chicago/Turabian Style
Mugnai, F., Riccardo Angelini and Irene Cortesi. 2022 "Integrating UAS Photogrammetry and Digital Image Correlation for Monitoring of Large Landslides" Preprints. https://doi.org/10.20944/preprints202201.0248.v2
Abstract
This paper shows the results of applying high-resolution Unmanned Aircraft System (UAS) photogrammetric surveying on a large landslide. A real case study, where permanently installing GCPs could be complex, where natural shaped and formed land pose severe limitations in deploying ground targets with optimal geometric configuration. We analysed performances in terms of survey accuracy obtained by performing photogrammetric surveys through the Zenmuse P1 DJI optical camera and Phantom 4 Pro 2. In combination with DJI Matrice 300 UAS, the P1 camera allows direct georeferencing through GNSS observations in RTK mode. Photogrammetric surveys, performed through different georeferencing methods, have been compared. Several targets have been permanently installed on the ground over the maximum vegetation height to guarantee long-lasting reference over the years in the area, which is characterised by a diffuse short vegetation coverage. Multitemporal UAS surveys have been then compared using Digital Image Correlation (DIC) algorithms, and deformation maps have been produced. Afterwards, DIC results were compared with observations made by the GNSS ground-based permanent receivers resulting in a standard deviation of 0,077 m. Through results analysis, good accordance between ground-based GNSS observations and DIC analysis on the photogrammetric surveys have been identified for the same time span. To conclude, this type of landslide presents a moderate deformation speed; in such a case, effective deformations monitoring could be achieved using pseudo-direct georeferencing, which permitted a 0.24 m accuracy on the whole tested area.
Keywords
Digital Image Correlation (DIC); Unmanned Aerial System (UAS); GNSS; monitoring
Subject
Engineering, Civil Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Commenter: Francesco Mugnai
Commenter's Conflict of Interests: Author
2) First picture was improved
3) Missing cross referfences were fixed