Central Alpine Fault, NZ 2010

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Overview

GNS logo Lidar data was collected across the Franz Josef to Whataroa areas of the Alpine Fault for GNS Science between 7/7/2010 and 7/8/2010, with specific flight line parameters applied for the dense native forest and stepping fault pattern in this region.
Platform: Airborne Lidar
Survey Area: 59.17 km2
Point Density: 4.37 pts/m2
Survey Date: 07/07/2010 - 07/08/2010
Full Metadata
Data Citation     Copied
Use License: CC BY 4.0
Funder: GNS     Collector: NZAM

Other Available Data Products:     Point Cloud Bulk Download (Sign in required)
1a. Select area of data to download or process  
  Usage Heat Map
 

1. Coordinates & Classification

Horizontal Coordinates: NZTM2000 NZGD2000 Meters [EPSG: 2193]
Vertical Coordinates: Lyttleton 1937 [EPSG: 5763]
Units: meter

Data Selection Coordinates:       Manually enter selection coordinates (in the horizontal coordinate system listed above)  
  Choose Return Classification    
  Ground        
  Vegetation        

2. Point Cloud Data Download

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

3A. DEM Generation (TIN)  

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

3B. DEM Generation (Local Gridding)  

Gridding Method
     Calculate Zmin grid
     Calculate Zmax grid
     Calculate Zmean grid
     Calculate Zidw grid
     Calculate standard deviation
     Calculate point count
Gridding Parameters
  Grid Resolution (Default = 1 meter)
  Radius value (Default = 1.4142 meter)
  Grid Format
  Null Filling

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  

7. Hydrologic Terrain Analysis Products (tauDEM)  

This tauDEM is an advanced processing service. It is available for registered users, who understand these resource intensive algorithms and its products.
In order to access or enable this service, please log in or request an account.

Job Description

These options allow users to describe and keep track of their jobs. Information entered below is recorded along with other job parameters in your personal lidar job archive accessed via myOpenTopo (available only to registered OpenTopography users).

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Data Citation     |     Use License: CC BY 4.0