Referenced Items are not available for this document.
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:
Geoscience and Remote Sensing Letters, IEEE
(Volume:6
,
Issue:
3
)
Date of Publication: July 2009
- Page(s):
- 463 - 466
- ISSN :
- 1545-598X
- INSPEC Accession Number:
- 10735830
- Digital Object Identifier :
- 10.1109/LGRS.2009.2016986
- Product Type:
- Journals & Magazines
- Date of Publication :
- 24 April 2009
- Date of Current Version :
- 30 June 2009
- Issue Date :
- July 2009
- Sponsored by :
- IEEE Geoscience and Remote Sensing Society
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