Effects of LIDAR Point Density on Bare Earth Extraction and DEM Creation

Abstract

Data density has a crucial impact on the accuracy of Digital Elevation Models (DEMs). In this study, DEMs were created from a high point-density LIDAR dataset using the bare earth extraction module in Quick Terrain Modeler. Lower point-density LIDAR collects were simulated by randomly selecting points from the original dataset at a series of decreasing percentages. The DEMs created from the lower resolution datasets are compared to the original DEM. Results show a decrease in DEM accuracy as the resolution of the LIDAR dataset is reduced. Some analysis is made of the types of errors encountered in the lower resolution DEMs. It is also noted that the percentage of points classified as bare earth decreases as the resolution of the LIDAR dataset is reduced

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2009
Accession Number
ADA534534

Entities

People

  • Angela M. Puetz
  • Brian Anderson
  • R. C. Olsen

Organizations

  • Naval Postgraduate School

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Accuracy
  • Aerial Photography
  • Algorithms
  • Errors
  • Extraction
  • Filtration
  • Forests
  • Information Operations
  • Laser Radar
  • Mathematics
  • National Parks
  • Physics Laboratories
  • Point Clouds
  • Remote Sensing
  • Three Dimensional

Readers

  • Atmospheric Remote Sensing.
  • Mathematics or Statistics
  • Neural Network Machine Learning.