Data to accompany the study Quick and dirty (and accurate) 3D paleoseismic trench models using coded scale bars
This dataset provides supporting evidence for a method of generating geometrically accurate orthophoto mosaics of paleoseismic trenches using physical scale bars printed with coded targets. These data accompany a forthcoming study by Delano et al., 2021, Quick and dirty (and accurate) 3D paleoseismic trench models using coded scale bars. The data constrain three-dimensional models of a 46-m long, narrow trench excavation across the Teton fault (Wyoming, USA).
Files include:
BB_photos_nwall.zip: Photographs (n= 234) in .jpg format of the north wall of the Buffalo Bowl trench used to construct models.
totalstation_control_modelpointcloud.laz: Structure-from-motion model point cloud of the Buffalo Bowl north wall, controlled with total station survey points.
gnss_control_modelpointcloud.laz: Structure-from-motion model point cloud of the Buffalo Bowl north wall, controlled with GNSS survey points.
scalebar10_control_modelpointcloud.laz: Structure-from-motion model point cloud of the Buffalo Bowl north wall using 10 scale bars for model control.
BB_control_rtk_TS_surveys.csv: Coordinates of wall markers surveyed with total station and GNSS (WGS84/UTM zone 12N).
BB_checkpoints_tsmodel.txt: Checkpoint coordinates from total station model.
BB_checkpoints_GNSSmodel.txt: Checkpoint coordinates from GNSS model.
BB_checkpoints_scalebars_variable.zip: Set of 15 model checkpoint coordinates using varying combinations of scale bars to control each model.
BB_checkpoints_scale
Citation Information
Publication Year | 2022 |
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Title | Data to accompany the study Quick and dirty (and accurate) 3D paleoseismic trench models using coded scale bars |
DOI | 10.5066/P98BMZZE |
Authors | Jaime Delano, Richard Briggs, Christopher B Duross, Ryan D Gold |
Product Type | Data Release |
Record Source | USGS Asset Identifier Service (AIS) |
USGS Organization | Earthquake Hazards Program |
Rights | This work is marked with CC0 1.0 Universal |