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.
Platform: Airborne Lidar
Survey Area: 50.42 km2
Point Density: 49.33 pts/m2
Survey Date: 09/19/2023
Full Metadata
Data Citation     Copied
Use License: CC BY 4.0
Funder: NSF     Collector: NCALM

Other Available Data Products: RasterPoint Cloud Bulk Download
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1. Coordinates & Classification

Horizontal Coordinates: NAD83 (2011) (EPOCH:2010) / UTM Zone 15N Meters [EPSG: 6344]
Vertical Coordinates: NAVD88 (GEOID 18) [EPSG: 5703]
Units: meter
Data Selection Coordinates (Select an area on map)
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2. Point Cloud Data Download

     Point cloud data in LAZ format
    Point cloud data in LAS format
     Point cloud data in ASCII format

3A. Custom DEM Generation (TIN)  

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Gridding Parameters
  Grid Resolution (Default = 1 meter)
  Max. triangle size (Default 50 units)
  Grid Format

3B. Custom DEM Generation (Local Gridding)  

Gridding Method
     Calculate Zmin grid
     Calculate Zmax grid
     Calculate Zmean grid
     Calculate Zidw grid
     Calculate standard deviation
     Calculate point count

4. Raster Visualization  

Visualization type:
    Hillshade
    Color-relief
    Color hillshade
    Slope
    Aspect
    Roughness

5. 3D Point Cloud Visualization  

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6. Contour Lines  

7. Hydrologic Terrain Analysis Products (tauDEM)  

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Data Citation     |     Use License: CC BY 4.0