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Abstract
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.
| 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 |
| Google Analytic Metrics | Metrics page |