Granite Dells Terrestrial Laser Scanning Dataset

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DOI: https://doi.org/10.5069/G9Z60KZ8
OT Collection ID: OT.122010.26912.1
OT Collection Name: Granite Dells Terrestrial Laser Scanning Dataset
Short Name: GD_TLS
Collection Platform: Terrestrial Laser Scanner
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    Point Cloud Data   Bulk Download     opentopoID: OTLAS.122010.26912.1
    Collection Overview: Precariously balanced rocks (PBRs) are pedestal rocks that are used as negative indicators for earthquake-generated strong ground motions to physically validate seismic hazard analyses. To help understand the geologic and geomorphic settings in which PBRs form, terrestrial laser scanning was used to scan a small population of PBRs that are preserved on hillslopes adjacent to a small stream channel.

    Dataset Acknowledgement: Haddad, D. E., 2010. Geologic and geomorphic characterization of precariously balanced rocks. MS thesis, Arizona State University, Tempe, Arizona, 207 pp.

    Data acquisition was supported by a National Science Foundation grant: EAR 0651098 Collaborative Research: Facility Support: Building the INTERFACE Facility for Cm-Scale, 3D Digital Field Geology and partially by the Extreme Ground Motion Program administered by the Southern California Earthquake Center (SCEC).

    Dataset Citation: Granite Dells Terrestrial Laser Scanning Dataset. Distributed by OpenTopography. https://doi.org/10.5069/G9Z60KZ8 . Accessed: 2024-04-26

    Use License: Not Provided

    Dataset Keywords: TLS, Arizona, Prescott, lidar

    Survey Date: 09/11/2009

    Publication Date: 12/01/2010
    Total number of points: 4,977,725 pts

    Area: 0.01 km2

    Point Density: 497.77 pts/m2

    Classifications:
    Class 0 - Never classified4,977,725


    Coordinate System:
    Horizontal: WGS84 / UTM Zone 12N Meters [EPSG: 26912]
    Vertical: NAVD88 (GEOID 03) [EPSG: 5703]

    Units: meter

    Survey Report: Reports

    LAS Validation Data Report: GD_TLS.html
    Tile index in shapefile format: Download

    Dataset Extent in GeoJSON format:   GD_TLS.json

    Dataset Spatial Bounds: North: 34.6032°     South: 34.602337°     East: -112.419503°     West: -112.420542°