Preserving Mountains with Forest Management, CA 2020

OT Collection ID: OT.092021.6339.1
OT Collection Name: Preserving Mountains with Forest Management, CA 2020
Short Name: CA20_Graup
Collection Platform: Airborne Lidar
Metadata Download:
  • ISO 19115 (Data)
  • Plain Text
  • Download and Access Products:

    Point Cloud Data   Bulk Download     opentopoID: OTLAS.092021.6339.1

    Raster Data   Bulk Download     opentopoID: OTSDEM.092021.6339.1
    Collection Overview: NCALM logo This lidar dataset was collected as part of an NCALM Seed grant for Louis Graup at the University of California, Santa Barbara. This study used airborne lidar to study how to preserve mountians as "water towers" through forest management. The study area is near Truckee, California and covers approximately 62 km2.

    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: Graup, L. (2021). Preserving Mountains with Forest Management, CA 2020. National Center for Airborne Laser Mapping (NCALM). Distributed by OpenTopography. Accessed: 2021-11-30

    Use License: CC BY 4.0

    Dataset Keywords: lidar, california, forest, management, water, tower

    Survey Date: 11/10/2020

    Publication Date: 09/16/2021
    Data Provider and Roles:
    Funder Collector Principal Investigator
    • Louis Graup - University of California, Santa Barbara
    Total number of points: 1,524,372,485 pts

    Area: 72.65 km2

    Point Density: 20.98 pts/m2

        Class 1 - Unclassified900,903,892
        Class 2 - Ground621,987,848
        Class 7 - Low Point (low noise)1,480,745

    Raster Resolution: 1.0 meter

    Coordinates System:
        Horizontal: NAD83 (2011) (EPOCH:2010) / UTM Zone 10N [EPSG: 6339]
        Vertical: Ellipsoid

    Survey Report: CA20_Graup_metadata.pdf

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

    Dataset Extent in KMZ format: Download

    Dataset Spatial Bounds: North: 39.4781047044512°     South: 39.3903000456226°     East: -120.197285805845°     West: -120.341593839°