Hierarchical Recovery of Digital Terrain Models from Single and Multiple Return Lidar Data

2005 ◽  
Vol 71 (4) ◽  
pp. 425-433 ◽  
Author(s):  
Yong Hu ◽  
C. Vincent Tao
Keyword(s):  
Lidar Data ◽  
Digital Terrain Models ◽  
Digital Terrain ◽  
Terrain Models

scholarly journals Semi-Global Filtering of Airborne LiDAR Data for Fast Extraction of Digital Terrain Models

2015 ◽  
Vol 7 (8) ◽  
pp. 10996-11015 ◽  
Author(s):  
Xiangyun Hu ◽  
Lizhi Ye ◽  
Shiyan Pang ◽  
Jie Shan
Keyword(s):  
Airborne Lidar ◽  
Lidar Data ◽  
Digital Terrain Models ◽  
Digital Terrain ◽  
Terrain Models ◽  
Fast Extraction ◽  
Airborne Lidar Data

scholarly journals The use of airborne LiDAR data for the analysis of debris flow events in Switzerland

2008 ◽  
Vol 8 (5) ◽  
pp. 1113-1127 ◽  
Author(s):  
C. Scheidl ◽  
D. Rickenmann ◽  
M. Chiari
Keyword(s):  
Debris Flow ◽  
Airborne Lidar ◽  
Lidar Data ◽  
Digital Terrain Models ◽  
Alpine Regions ◽  
Digital Terrain ◽  
Terrain Models ◽  
Digital Elevation ◽  
Airborne Lidar Data ◽  
Volume Estimates

Abstract. A methodology of magnitude estimates for debris flow events is described using airborne LiDAR data. Light Detection And Ranging (LiDAR) is a widely used technology to generate digital elevation information. LiDAR data in alpine regions can be obtained by several commercial companies where the automated filtering process is proprietary and varies from companies to companies. This study describes the analysis of geomorphologic changes using digital terrain models derived from commercial LiDAR data. The estimation of the deposition volumes is based on two digital terrain models covering the same area but differing in their time of survey. In this study two surveyed deposition areas of debris flows, located in the canton of Berne, Switzerland, were chosen as test cases. We discuss different grid interpolating techniques, other preliminary work and the accuracy of the used LiDAR data and volume estimates.

scholarly journals Nationwide Digital Terrain Models for Topographic Depression Modelling in Detection of Flood Detention Areas

Water ◽  
2014 ◽  
Vol 6 (2) ◽  
pp. 271-300 ◽  
Author(s):  
Jenni-Mari Vesakoski ◽  
Petteri Alho ◽  
Juha Hyyppä ◽  
Markus Holopainen ◽  
Claude Flener ◽  
...  
Keyword(s):  
Digital Terrain Models ◽  
Digital Terrain ◽  
Terrain Models
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