Large area DEM generation using airborne LiDAR data and quality control

Liu, Xiaoye and Zhang, Zhenyu and Peterson, Jim and Chandra, Shobhit (2008) Large area DEM generation using airborne LiDAR data and quality control. In: 8th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, 25-27 June 2008, Shanghai, China.

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Abstract

Digital Elevation Model (DEM) is a crucial component in terrain-related applications. Researches on terrain data collection and DEM generation have received great attention. Traditional methods such as field surveying and photogrammetry can yield high accuracy terrain data, but they are time consuming and labour intensive, especially for large area. Airborne Light Detection and Ranging (LiDAR) - also referred to as Airborne Laser Scanning (ALS), provides an alternative for high density and high accuracy three dimensional terrain point data acquisition. LiDAR data have become a major source of digital terrain information and has been used in a wide of areas, with terrain modeling being the primary focus of most LiDAR collection missions. The use of LiDAR for terrain data collection and DEM generation is the most effective way and is becoming a standard practice in spatial science community. Although LiDAR data has become more affordable for users due to the gradually dropping of the costs of LiDAR data collection, how to effectively process the raw LiDAR data and extract useful information remains a big challenge. This paper presented ways to generate a high quality DEM in a large catchment area using LiDAR data. A number of research challenges such as terrain modeling methods, interpolation algorithms, DEM resolution, and data reduction were identified and disc ussed in detail for quality control of a LiDAR-derived DEM.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: No indication of copyright restrictions.
Depositing User: Dr Xiaoye Liu
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Surveying and Land Information
Date Deposited: 06 Jan 2010 00:46
Last Modified: 22 Aug 2014 01:53
Uncontrolled Keywords: LiDAR, DEM, interpolation, resolution, data reduction
Fields of Research (FOR2008): 09 Engineering > 0909 Geomatic Engineering > 090905 Photogrammetry and Remote Sensing
URI: http://eprints.usq.edu.au/id/eprint/4833

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