Volumetric visualization of multiple-return LIDAR data: Using voxels

Photogrammetric Engineering and Remote Sensing


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Elevation data are an important component in the visualization and analysis of geographic information. The creation and display of 3D models representing bare earth, vegetation, and surface structures have become a major focus of light detection and ranging (lidar) remote sensing research in the past few years. Lidar is an active sensor that records the distance, or range, of a laser usually fi red from an airplane, helicopter, or satellite. By converting the millions of 3D lidar returns from a system into bare ground, vegetation, or structural elevation information, extremely accurate, high-resolution elevation models can be derived and produced to visualize and quantify scenes in three dimensions. These data can be used to produce high-resolution bare-earth digital elevation models; quantitative estimates of vegetative features such as canopy height, canopy closure, and biomass; and models of urban areas such as building footprints and 3D city models.

Additional publication details

Publication type Article
Publication Subtype Journal Article
Title Volumetric visualization of multiple-return LIDAR data: Using voxels
Series title Photogrammetric Engineering and Remote Sensing
Volume 75
Issue 2
Year Published 2009
Language English
Publisher ASPRS
Contributing office(s) Earth Resources Observation and Science (EROS) Center
Description 4 p.
First page 109
Last page 112