Vertical Differencing [ Video Tutorial ]

State of Utah Acquired Lidar Data - Wasatch Front
Welcome Guest   ( Sign In )

Overview

The State of Utah, including the Utah Automated Geographic Reference Center, Utah Geological Survey, and the Utah Division of Emergency Management, along with local and federal partners, including Salt Lake County and local cities, the Federal Emergency Management Agency, the U.S. Geological Survey, and the U.S. Environmental Protection Agency, have funded and collected over 8380 km2 (3236 mi2) of high-resolution (0.5 or 1 meter) Lidar data across the state since 2011, in support of a diverse set of flood mapping, geologic, transportation, infrastructure, solar energy, and vegetation projects. The datasets include point cloud, first return digital surface model (DSM), and bare-earth digital terrain/elevation model (DEM) data, along with appropriate metadata (XML, project tile indexes, and area completion reports).

This 0.5-meter 2013-2014 Wasatch Front dataset includes most of the Salt Lake and Utah Valleys (Utah), and the Wasatch (Utah and Idaho), and West Valley fault zones (Utah).

Other recently acquired State of Utah data include the 2011 Utah Geological Survey Lidar dataset covering Cedar and Parowan Valleys, the east shore/wetlands of Great Salt Lake, the Hurricane fault zone, the west half of Ogden Valley, North Ogden, and part of the Wasatch Plateau in Utah.

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. Vertical Differencing Datasets and Coordinate System  

Select a dataset for vertical differencing:
  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. Error handling (optional)  

  Estimate mean uncertainty using geostatistical approach.  
  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
  Sign in
More options
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: Not Provided