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Integrating LiDAR Intensity and Elevation Data for Terrain Characterization in a Forested Area | IEEE Journals & Magazine | IEEE Xplore

Integrating LiDAR Intensity and Elevation Data for Terrain Characterization in a Forested Area


Abstract:

Separating ground from nonground laser returns from airborne light detection and ranging (LiDAR) data is a key step in creating digital terrain models (DTMs). In this le...Show More

Abstract:

Separating ground from nonground laser returns from airborne light detection and ranging (LiDAR) data is a key step in creating digital terrain models (DTMs). In this letter, bare-earth and forested surfaces are classified from LiDAR intensity data in a data set from central Idaho, U.S. Next, a Gaussian fitting (GF) method is applied to determine ground elevations from LiDAR elevation data according to the land-cover information. In comparison to ground-based reference data, the GF method generated an accurate DTM in this study area. Overall, the DTM underestimated the ground observations by approximately 31 cm. A combination of LiDAR intensity and elevation data may be effectively used to develop DTMs in similar terrain of relatively simple land-cover classes.
Published in: IEEE Geoscience and Remote Sensing Letters ( Volume: 6, Issue: 3, July 2009)
Page(s): 463 - 466
Date of Publication: 24 April 2009

ISSN Information:


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