3D Differencing [ Video Tutorial ]

Characterizing Alluvial Channel Bank Erosion with Lidar, TX 2023
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Overview

NCALM logo This lidar dataset was collected as part of an NCALM Seed grant for Mariel Nelson at the University of Texas at Austin. This dataset was collected to help characterize alluvial channel bank erosion with time-lapse airborne and UAV lidar. The dataset was collected northeast of Houston, TX, over the Trinity River.
Reference Dataset
Total points: pts
Survey Area: km2
Point Density: pts/m2
Compare Dataset  
Total points: pts
Survey Area: km2
Point Density: pts/m2
Select area of data to process  
 

1. 3D Differencing Datasets and Coordinate System  


  Reference dataset:
  Compare dataset:  
Dataset:
Survey Date:
Horizontal Coordinates:
Vertical Coordinates:
Units:
Data Selection Coordinates (Select an area on map)
  Manually enter selection coordinates (in the horizontal coordinate system listed above)  

  Choose Return Classification    
  Ground

2. DEM Generation (TIN)  

  Grid Resolution (Default = 1.0 meter)
  Max. triangle size (Default 50 units)

3. Window Size  

Window Size  

4. Visualization  

  Generate additional hillshade images from DEMs for reference and compare datasets.

Altitude of the light:  (in range: [0-90] degrees)
Azimuth of the light:  (in range: [0-360] degrees)

Job Description & Notification

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

Email address
for notification upon completion of processing
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Data Citation     |     Use License: CC BY 4.0