DEM Generation from LiDAR Ground Points Using Cloud Compare and QGIS3

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This project involved generating a Digital Elevation Model (DEM) for a segment of the Lower Colorado River near Yuma, Arizona, using publicly available LiDAR data and open-source geospatial tools. The goal was to demonstrate a full workflow from raw point cloud to georeferenced elevation model.

The workflow involved:

  • Downloading and preprocessing USGS LiDAR data in CloudCompare
  • Filtering ground-classified points and rendering a grayscale elevation PNG
  • Manually georeferencing the image in QGIS using terrain features visible in Google Earth Pro
  • Generating a rasterized elevation layer and applying DEM symbology
  • Running statistical summaries and styling the output for interpretation

Applications & Skills Demonstrated
This project showcases the ability to turn raw LiDAR data into meaningful terrain outputs using open-source tools, applicable to:

  • Floodplain analysis and flood risk mapping
  • Habitat and riparian zone restoration planning
  • Preliminary terrain modeling for civil infrastructure projects