Drainage network extraction using LiDAR-derived DEM in volcanic plains

Liu, Xiaoye and Zhang, Zhenyu (2011) Drainage network extraction using LiDAR-derived DEM in volcanic plains. Area, 43 (1). pp. 42-52. ISSN 0004-0894

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Abstract

Accurate delineation of drainage networks is critical for many hydrologically related applications. The commonly used methods for drainage network extraction from digital elevation models (DEMs) have limitations in low-relief terrain areas. High-quality DEMs are required for effectively applying these methods in extracting drainage networks in low-relief terrains. Airborne light detection and ranging (LiDAR) offers high-accuracy terrain data. With LiDAR data, high-accuracy and high-resolution DEMs can be generated. The results of drainage network extraction for two sub-catchments on the western Victorian Volcanic Plains (VVP) are reported. Drainage networks and some parameters describing drainage network composition, including the stream orders, the numbers of streams and the stream lengths, were derived from both the LiDAR DEM and the Vicmap DEM. The LiDAR-derived DEM is shown to offer significantly more detail, especially for delineating low-order stream (headwater) segments in sub-catchments of low-relief terrain.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permanent restricted access to Accepted and Published Versions due to publisher copyright restrictions.
Depositing User: Dr Xiaoye Liu
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Surveying and Land Information
Date Deposited: 08 Mar 2011 00:55
Last Modified: 24 Aug 2014 21:38
Uncontrolled Keywords: Victorian volcanic plains; drainage network extraction; airborne LiDAR; digital elevation model; DEM; stream; catchment
Fields of Research (FOR2008): 04 Earth Sciences > 0406 Physical Geography and Environmental Geoscience > 040608 Surfacewater Hydrology
04 Earth Sciences > 0406 Physical Geography and Environmental Geoscience > 040603 Hydrogeology
09 Engineering > 0909 Geomatic Engineering > 090905 Photogrammetry and Remote Sensing
Socio-Economic Objective (SEO2008): D Environment > 96 Environment > 9609 Land and Water Management > 960999 Land and Water Management of Environments not elsewhere classified
Identification Number or DOI: doi: 10.1111/j.1475-4762.2010.00955.x
URI: http://eprints.usq.edu.au/id/eprint/18486

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