Point Classification for Hazard Applications: Mammoth Lakes, CA

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Overview

NCALM logo This lidar dataset was collected as part of an NCALM Seed grant for Rob Sare at Stanford University. The project was designed to obtain point classification using multispectral lidar and SfM for earthquake and volcano hazards applications. The survey area covers two separate regions - Horseshoe Lake and Hilton Creek Fault near Mammoth Lakes, CA.


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

Platform: Airborne Lidar
Survey Area: 24.21 km2
Point Density: 8.57 pts/m2
Survey Date: 09/22/2018 - 09/23/2018
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)
1a. Select area of data to download or process  
  Usage Heat Map
 

1. Coordinates & Classification

Horizontal Coordinates: NAD83 / UTM Zone 11N Meters [EPSG: 26911]
Vertical Coordinates: Ellipsoid (GRS80) [EPSG: 6269]
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  

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).

Job title (up to 150 characters)
Job description (up to 750 characters)
Enter your e-mail address
for notification upon completion of processing
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By accessing data via OpenTopography you agree to acknowledge OpenTopography and the dataset source in publications, presentations, and other materials produced using these data:
Data Citation     |     Use License: CC BY 4.0