Data to accompany the study Quick and dirty (and accurate) 3D paleoseismic trench models using coded scale bars
September 16, 2022
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
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 |
---|---|
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 |
Related
Quick and dirty (and accurate) 3-D paleoseismic trench models using coded scale bars
Structure‐from‐motion (SfM) modeling has dramatically increased the speed of generating geometrically accurate orthophoto mosaics of paleoseismic trenches, but some aspects of this technique remain time and labor intensive. Model accuracy relies on control points to establish scale, reduce distortion, and orient 3D models. Traditional SfM methods use total station or Global Navigation...
Authors
Jaime Delano, Richard W. Briggs, Christopher DuRoss, Ryan D. Gold
Ryan D Gold, Ph.D.
Director, Geologic Hazards Science Center
Director, Geologic Hazards Science Center
Email
Phone
Related
Quick and dirty (and accurate) 3-D paleoseismic trench models using coded scale bars
Structure‐from‐motion (SfM) modeling has dramatically increased the speed of generating geometrically accurate orthophoto mosaics of paleoseismic trenches, but some aspects of this technique remain time and labor intensive. Model accuracy relies on control points to establish scale, reduce distortion, and orient 3D models. Traditional SfM methods use total station or Global Navigation...
Authors
Jaime Delano, Richard W. Briggs, Christopher DuRoss, Ryan D. Gold
Ryan D Gold, Ph.D.
Director, Geologic Hazards Science Center
Director, Geologic Hazards Science Center
Email
Phone