Lawrenceville, IL: Detecting Tectonically Deformed Shorelines

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Overview

NCALM Seed. PI: Darryl Granger, Purdue University. The survey area contains seven polygons located 10 km west and 7 kilometers north of Lawrenceville, Illinois. This area was flown and completed on October 1, 2005 and covers an area of 72 square kilometers.


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

Platform: Airborne Lidar
Survey Area: 72 km2
Point Density: 1.61 pts/m2
Survey Date: 10/01/2005
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 (CORS96) / UTM Zone 16N Meters [EPSG: 26916]
Vertical Coordinates: NAVD88 (GEOID 03) [EPSG: 5703]
Units: meter

Data Selection Coordinates:       Manually enter selection coordinates (in the horizontal coordinate system listed above)  
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  Ground        
  Unclassified        

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.
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Job Description

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Data Citation     |     Use License: CC BY 4.0