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Abstract
Elevation data is rapidly becoming an important tool for the visualization and analysis of geographic information. The creation and display of three-dimensional models representing bare earth, vegetation, and structures have become major requirements for geographic research in the past few years. Light Detection and Ranging (lidar) has been increasingly accepted as an effective and accurate technology for acquiring high-resolution elevation data for bare earth, vegetation, and structures. Lidar is an active remote sensing system that records the distance, or range, of a laser fi red from an airborne or space borne platform such as an airplane, helicopter or satellite to objects or features on the Earth’s surface. By converting lidar data into bare ground topography and vegetation or structural morphologic information, extremely accurate, high-resolution elevation models can be derived to visualize and quantitatively represent scenes in three dimensions. In addition to high-resolution digital elevation models (Evans et al., 2001), other lidar-derived products include quantitative estimates of vegetative features such as canopy height, canopy closure, and biomass (Lefsky et al., 2002), and models of urban areas such as building footprints and three-dimensional city models (Maas, 2001).
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | CLICK: The new USGS center for LIDAR information coordination and knowledge |
| Series title | Photogrammetric Engineering and Remote Sensing |
| Volume | 72 |
| Issue | 6 |
| Year Published | 2006 |
| Language | English |
| Publisher | ASPRS |
| Contributing office(s) | Earth Resources Observation and Science (EROS) Center |
| Description | 4 p. |
| First page | 613 |
| Last page | 616 |
| Online Only (Y/N) | N |
| Additional Online Files (Y/N) | N |
| Google Analytic Metrics | Metrics page |