Calhoun Critical Zone Observatory 2016 Leaf Off LiDAR Survey

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Overview

The National Center for Airborne Laser Mapping (NCALM) conducted a lidar survey of the Calhoun Critical Zone Observatory (CCZO) area on February 26, 2016. The survey was funded by NSF award EAR-1339015; the Calhoun CZO is funded by NSF award EAR-1331846 (P.I. Daniel deB. Richter).

Note: Lidar and DEM data have been adjusted by -0.098 meters to adjust for systematic vertical bias determined by analysis of 1251 ground check points collected at the Spartanburg airfield using a vehicle-mounted GPS antenna and receiver.


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

Platform: Airborne Lidar
Survey Area: 78.3 km2
Point Density: 45.28 pts/m2
Survey Date: 02/26/2016
Full Metadata
Data Citation     Copied
Use License: CC BY 4.0
Funder: NSF     Partner: CCZO     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) / UTM Zone 17N Meters [EPSG: 26917]
Vertical Coordinates: NAVD88 (GEOID 12A) [EPSG: 5703]
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        

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