Large area DEM generation using airborne LiDAR data and quality control

Paper

Liu, Xiaoye, Zhang, Zhenyu, Peterson, Jim and Chandra, Shobhit. 2008. "Large area DEM generation using airborne LiDAR data and quality control." Li, D. R., Foody, Giles M. and Ge, Y. (ed.) 8th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences. Shanghai, China 25 - 27 Jun 2008 Liverpool, UK.
Paper/Presentation Title

Large area DEM generation using airborne LiDAR data and quality control

Presentation TypePaper
AuthorsLiu, Xiaoye (Author), Zhang, Zhenyu (Author), Peterson, Jim (Author) and Chandra, Shobhit (Author)
EditorsLi, D. R., Foody, Giles M. and Ge, Y.
Journal or Proceedings TitleAccuracy in Geomatics: Proceedings of the 8th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, v. 2
Journal Citation2, pp. 79-85
Number of Pages7
Year2008
Place of PublicationLiverpool, UK
ISBN1846261716
Web Address (URL) of Paperhttp://www.kriso.lv/Accuracy-Geomatics-Proceedings-8th-International-Symposium/db/9781846261718.html
Conference/Event8th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences
Event Details
8th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences
Event Date
25 to end of 27 Jun 2008
Event Location
Shanghai, China
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.

KeywordsLiDAR, DEM, interpolation, resolution, data reduction
ANZSRC Field of Research 2020401304. Photogrammetry and remote sensing
Public Notes

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Byline AffiliationsAustralian Centre for Sustainable Catchments
Monash University
Book TitleAccuracy in Geomatics
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