Quantifying Channel Change in a Steep Coastal Stream, CA 2022

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DOI: https://doi.org/10.5069/G9TD9VJF
OT Collection ID: OT.072023.6339.1
OT Collection Name: Quantifying Channel Change in a Steep Coastal Stream, CA 2022
Short Name: CA22_Olsen
Collection Platform: Airborne Lidar
Metadata Download:
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    Point Cloud Data   Bulk Download     opentopoID: OTLAS.072023.6339.1

    Raster Data   Bulk Download     opentopoID: OTSDEM.072023.6339.1
    Collection Overview: NCALM logo This lidar dataset was collected as part of an NCALM Seed grant for Telemak Olsen at Western Washington University. This dataset was collected to help quantify channel change in response to a post-fire debris flow in a steep coastal stream in Big Sur, California.


    Publications associated with this dataset can be found at NCALM's Data Tracking Center



    Dataset Acknowledgement: Lidar data acquisition and processing completed by the National Center for Airborne Laser Mapping (NCALM). NCALM funding provided by NSF's Division of Earth Sciences, Instrumentation and Facilities Program. EAR-1830734

    Dataset Citation: Olsen, T. (2023). Quantifying Channel Change in a Steep Coastal Stream, CA 2022. National Center for Airborne Laser Mapping (NCALM). Distributed by OpenTopography. https://doi.org/10.5069/G9TD9VJF. Accessed: 2024-05-03

    Use License: CC BY 4.0

    Dataset Keywords: geomorphology, fire, Big Sur, topography, lidar

    Survey Date: 10/13/2022

    Publication Date: 08/14/2023
    Data Provider and Roles:
    Funder Collector Principal Investigator
    Total number of points: 600,142,020 pts

    Area: 7.09 km2

    Point Density: 84.65 pts/m2

    Classifications:
    Class 1 - Unclassified480,497,385
    Class 2 - Ground119,640,280
    Class 7 - Low Point (low noise)984
    Class 18 - High Noise3,371

    Raster Resolution: 0.5 meter

    Coordinate System:
    Horizontal: NAD83 (2011) (EPOCH:2010) / UTM Zone 10N Meters [EPSG: 6339]
    Vertical: NAVD88 (GEOID 12B) [EPSG: 5703]

    Units: meter

    Survey Report: Reports

    LAS Validation Data Report: Reports
    Tile index in shapefile format: Download

    Dataset Extent in GeoJSON format:
    Point Cloud: CA22_Olsen.geojson
    Raster: CA22_Olsen.geojson

    Dataset Spatial Bounds: North: 36.1062894638844°     South: 36.068171065618074°     East: -121.55317522117682°     West: -121.60791126888051°