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Imagery and digital surface model for the Slumgullion landslide, Lake City, Colorado, June 3, 2024

This dataset contains a point cloud (Slumgullion_PointCloud.laz), 1-meter digital surface model (Slumgullion_DSM.tif), and orthoimagery (0.1-meter resolution) (Slumgullion_Ortho.tif) of the active portion of the Slumgullion landslide in Lake City, Colorado. The Slumgullion landslide is a translational slide with a continuously moving, active portion and an inactive portion. 896 photos from a Sony A7R Mark IV, RGB61 camera mounted on a Wingtra 1 GEN II fixed-wing uncrewed aerial vehicle (UAV) were collected on June 3, 2024 (Slumgullion_UAV_Images_Geotags.zip). The images were georeferenced using post-possessed kinematics (PPK) from the onboard Global Positioning System (GPS) of the aircraft with corrections from a concurrently operating base station within the study area. The point cloud and digital surface model products were created from the georeferenced photos from four UAV flights using Structure-from-Motion (SfM) photogrammetry techniques with the software Agisoft Metashape (v. 2.1.0 build 17532). Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

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Author(s) Olivia J Hoch orcid, Nikita N Avdievitch orcid, Elaine A Collins orcid, Skye Corbett orcid, Sabrina N Martinez orcid, Charles P Miles orcid, Francis K Rengers orcid
Publication Date 2025-01-31
Beginning Date of Data 2024-06-03
Ending Date of Data 2024-06-03
Data Contact
DOI https://doi.org/10.5066/P1Q8T9JF
Citation Hoch, O.J., Avdievitch, N.N., Collins, E.A., Corbett, S., Martinez, S.N., Miles, C.P., and Rengers, F.K., 2025, Imagery and digital surface model for the Slumgullion landslide, Lake City, Colorado, June 3, 2024: U.S. Geological Survey data release, https://doi.org/10.5066/P1Q8T9JF.
Metadata Contact
Metadata Date 2025-01-31
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Citations of these data No citations of these data are known at this time.
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License http://www.usa.gov/publicdomain/label/1.0/
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Harvest Source: ScienceBase
Harvest Date: 2025-02-01T05:06:43.204Z