2019 Ridgecrest, CA Post-Earthquake Lidar Collection

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Overview

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Airborne lidar survey of surface ruptures and ground failure features associated with the 4 and 5 July 2019 Ridgecrest Earthquake sequence. As of 06/12/2020: This new release adds data over Naval Air Weapons Station China Lake and now covers the main surface fault ruptures of both the M 6.4 and M 7.1 Ridgecrest earthquake sequence. In addition, all data have now been classified by NCALM


For additional information about this dataset see:
Hudnut, K.W., B. Brooks, K. Scharer, J.L. Hernandez, T.E. Dawson, M.E. Oskin, R. Arrowsmith, C.A. Goulet, K. Blake, M.L. Boggs, S. Bork, C.L. Glennie, J.C. Fernandez-Diaz, A. Singhania, D. Hauser, S. Sorhus (2020), Airborne Lidar and Electro-Optical Imagery Along Surface Ruptures of the 2019 Ridgecrest Earthquake Sequence, Southern California, in press, Seismological Research Letters (preprint available upon request)


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

Platform: Airborne Lidar
Survey Area: 784.42 km2
Point Density: 33.13 pts/m2
Survey Date: 07/27/2019 - 08/02/2019
Full Metadata
Data Citation     Copied
Use License: CC BY 4.0
Funders: NSF, USGS-NEHRP     Partner: SCEC     Collector: NCALM

Other Available Data Products: RasterPoint Cloud Bulk Download
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1. Coordinates & Classification

Horizontal Coordinates: WGS84 / UTM Zone 11N Meters [EPSG: 32611]
Vertical Coordinates: WGS84 [EPSG: 4326]
Units: meter
Data Selection Coordinates (Select an area on map)
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  Choose Return Classification    
  Ground        
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2. Point Cloud Data Download

     Point cloud data in LAZ format
    Point cloud data in LAS format
     Point cloud data in ASCII format

3A. Custom DEM Generation (TIN)  

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Gridding Parameters
  Grid Resolution (Default = 1 meter)
  Max. triangle size (Default 50 units)
  Grid Format

3B. Custom DEM Generation (Local Gridding)  

Gridding Method
     Calculate Zmin grid
     Calculate Zmax grid
     Calculate Zmean grid
     Calculate Zidw grid
     Calculate standard deviation
     Calculate point count

4. Raster Visualization  

Visualization type:
    Hillshade
    Color-relief
    Color hillshade
    Slope
    Aspect
    Roughness

5. 3D Point Cloud Visualization  

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6. Contour Lines  

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Data Citation     |     Use License: CC BY 4.0