3D ‘iDar’ Scanning
2022 SCEC Earthquake Response Workshop Lightning Talk:
These scans were all made using the free 3DScanner App on a 2020 iPad Pro.
- Demo scan: Shrine of King Taharqa, Ashmolean Museum, Oxford, UK:
This scan was digitally looted from the Ashmolean Museum using the 3D Scanner App. Total scanning + processing time = 4 minutes.
Controls:
Rotate-left mouse
Pan- right or middle mouse click
Zoom- mousewheel
Left click the numbered annotaions to see more information.
Try it in VR if you're feeling brave.
- Kura Thrust, Azerbaijan:
This scan was collected during an initial project reconnaissance trip with only 2 days total field time in the country and 45 minutes at the site. Upon our arrival at this site, the fault exposure was in the process of being destroyed by an irrigation canal project.
- Kazarman fault trench, Kyrgyzstan:
This scan was collected to use as a base for logging an excavated fault trench in Kyrgyzstan. Not needing to bring a generator and laptop into the field for processing saved a lot of time.
- 2016 Norcia, Italy earthquake ruptures:
The 2016 Norcia sequence consisted of two main surface rupturing normal-fault earthquakes. August 24 M6.0 followed by the October 30 M6.5 mainshock. There are two well preserved white bands of slickensides along the cliff. The August 24 band is the thin bright white band above the thicker October 30 band. The difference in color is attributed to varying erosion.
This scan was made in fall 2021, just before the 5th anniversary of the 2016 earthquake rupture.
- Dog Valley fault, California 3D trench tour:
This model was created by stitching photograph based structure-from-motion textures to oriented iOS laser scans. The resulting models are displayed using the Georeka software. The red translucent polygons represent the fault plane traced through several exposures. A channel margin sequence is traced and its offset measured across the fault.
See also:
Orthoimage extraction using Blender
Opentopography.org blog post about iDar
Luetzenburg, G., Kroon, A., Bjørk, A.A., 2021. Evaluation of the Apple iPhone 12 Pro LiDAR for an Application in Geosciences. Sci Rep 11, 22221. https://doi.org/10.1038/s41598-021-01763-9