Airborne LiDAR for DEM generation: some critical issues

Liu, Xiaoye (2008) Airborne LiDAR for DEM generation: some critical issues. Progress in Physical Geography: an international review of geographical work in the natural and environmental sciences, 32 (1). pp. 31-49. ISSN 0309-1333

[img]
Preview
PDF (Accepted Version)
Liu_Progress_in_Phys_Geog_v32n1.pdf

Download (194Kb)

Abstract

Airborne LiDAR is one of the most effective and reliable means of terrain data collection. Using LiDAR data for DEM generation is becoming a standard practice in spatial related areas. However, the effective processing of the raw LiDAR data and the generation of an efficient and high-quality DEM remain big challenges. This paper reviews the recent advances of airborne LiDAR systems and the use of LiDAR data for DEM generation, with special focus on LiDAR data filters, interpolation methods, DEM resolution, and LiDAR data reduction. Separating LiDAR points into ground and non-ground is the most critical and difficult step for DEM generation from LiDAR data. Commonly used and most recently developed LiDAR filtering methods are presented. Interpolation methods and choices of suitable interpolator and DEM resolution for LiDAR DEM generation are discussed in detail. In order to reduce the data redundancy and increase the efficiency in terms of storage and manipulation, LiDAR data reduction is required in the process of DEM generation. Feature specific elements such as breaklines contribute significantly to DEM quality. Therefore, data reduction should be conducted in such a way that critical elements are kept while less important elements are removed. Given the highdensity characteristic of LiDAR data, breaklines can be directly extracted from LiDAR data. Extraction of breaklines and integration of the breaklines into DEM generation are presented.


Statistics for USQ ePrint 3871
Statistics for this ePrint Item
Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Author version deposited in accordance with the copyright policy of the publisher.
Depositing User: Dr Xiaoye Liu
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Surveying and Land Information
Date Deposited: 21 Feb 2008 23:49
Last Modified: 17 Jul 2013 06:21
Uncontrolled Keywords: airborne LiDAR; DEM; filter; resolution; data reduction; breakline
Fields of Research (FOR2008): 08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining
09 Engineering > 0909 Geomatic Engineering > 090903 Geospatial Information Systems
04 Earth Sciences > 0406 Physical Geography and Environmental Geoscience > 040699 Physical Geography and Environmental Geoscience not elsewhere classified
Socio-Economic Objective (SEO2008): E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
Identification Number or DOI: doi: 10.1177/0309133308089496
URI: http://eprints.usq.edu.au/id/eprint/3871

Actions (login required)

View Item Archive Repository Staff Only