Laytonville, CA lidar 2015

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Overview

NCALM logo This dataset was collected by NCALM for PI Dr. William Dietrich. The requested survey area consisted of a polygon located 12 km south of Laytonville, CA. The polygon encloses approximately 46.5 square km.


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

Platform: Airborne Lidar
Survey Area: 77.94 km2
Point Density: 19.18 pts/m2
Survey Date: 06/25/2015
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)
1a. Select area of data to download or process  
  Usage Heat Map
 

1. Coordinates & Classification

Horizontal Coordinates: NAD83 (2011) / UTM Zone 10N Meters [EPSG: 26910]
Vertical Coordinates: NAVD88 (GEOID 12A) [EPSG: 5703]
Units: meter

Data Selection Coordinates:       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. 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

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Data Citation     |     Use License: CC BY 4.0