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

被引：50

作者：

Wang, Cheng ^{[1
]}

Glenn, Nancy F. ^{[1
]}

机构：

[1] Idaho State Univ, Boise Ctr Aerosp Lab, Boise, ID 83702 USA

来源：

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2009年 / 6卷 / 03期

基金：

美国海洋和大气管理局;

关键词：

Digital terrain model (DTM); forested mountain area; Gaussian fitting (GF) model; light detection and ranging (LiDAR); HEIGHT; MODELS;

D O I：

10.1109/LGRS.2009.2016986

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

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 LWAR 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.

引用

页码：463 / 466

页数：4

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