Quantitative Characterization of Dune-Dune Interactions, CA 2022

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Overview

NCALM logo This lidar dataset was collected as part of an NCALM Seed grant for M. Colin Marvin at the Stanford University. This dataset was collected to aid the quantitative characterization of dune-dune interactions in the Rice Valley dune field in the southeastern Mojave Desert.


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

Platform: Airborne Lidar
Survey Area: 38.19 km2
Point Density: 19.22 pts/m2
Survey Date: 10/10/2022
Full Metadata
Data Citation     Copied
Use License: CC BY 4.0
Funder: NSF     Collector: NCALM

Other Available Data Products: RasterPoint Cloud Bulk Download
1a. Select area of data to download or process  
  Usage Heat Map
 

1. Coordinates & Classification

Horizontal Coordinates: NAD83 (2011) (EPOCH:2010) / UTM Zone 11N Meters [EPSG: 6340]
Vertical Coordinates: Ellipsoid
Units: meter
Data Selection Coordinates (Select an area on map)
  Manually enter selection coordinates (in the horizontal coordinate system listed above)  

  Choose Return Classification    
  Ground        
  Unclassified        
  Exclude Noise

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)  

    Calculate TIN
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  

  Generate 3D point cloud browser visualization

6. Contour Lines  

Job Description & Notification

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Data Citation     |     Use License: CC BY 4.0