Control of steepland landscape morphology in Idaho Batholith

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Overview

NCALM logo This lidar dataset was collected as part of an NCALM Seed grant for William Struble at the University of Oregon. This project was designed to understand the control of steepland landscape morphology by debris flows in the Idaho Batholith. The survey area covers roughly 73 km 2 near Cascade, ID


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

Platform: Airborne Lidar
Survey Area: 72.78 km2
Point Density: 13.17 pts/m2
Survey Date: 09/18/2018 - 09/19/2018
Full Metadata
Data Citation
Use License: CC BY 4.0
Funder: NSF     Collector: NCALM

Other Available Data Products:     Raster,     Point Cloud Bulk Download (Sign in required)
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1. Coordinates & Classification

Horizontal Coordinates: NAD83 (2011) (EPOCH:2010) / UTM Zone 11N Meters [EPSG: 6340]
Vertical Coordinates: NAVD88 [EPSG: 5703]
Units: meter

Data Selection Coordinates:       Manually enter selection coordinates (in the horizontal coordinate system listed above)  
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  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. 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  

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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.
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Job Description

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Data Citation     |     Use License: CC BY 4.0