Raster Vertical Differencing [ Video Tutorial ]

Quantifying Channel Change in a Steep Coastal Stream, CA 2022
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Overview

NCALM logo This lidar dataset was collected as part of an NCALM Seed grant for Telemak Olsen at Western Washington University. This dataset was collected to help quantify channel change in response to a post-fire debris flow in a steep coastal stream in Big Sur, California.


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

Reference Dataset
Raster Resolution:
Survey Area: km2
Compare Dataset  
Raster Resolution:
Survey Area: km2
Select area of data to process  
 

1. Vertical 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)  

  Grid Resolution (Default = 1 meter)

2. Layer Types

Reference dataset:
Digital Terrain Model (DTM)
Digital Surface Model (DSM)
Compare dataset:

3. Error handling (optional)  

  Estimate mean uncertainty using geostatistical approach.     (Requires Digital Terrain Model (DTM) option from "Layer Types" step above.)
  User-defined Minimum Level of Detection  

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