Extracting drainage network from high resolution DEM in Toowoomba, Queensland

Liu, Xiaoye and Zhang, Zhenyu (2010) Extracting drainage network from high resolution DEM in Toowoomba, Queensland. In: Queensland Surveying and Spatial Conference 2010 (QSSC 2010), 1-3 Sept 2010, Brisbane, Australia.

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Abstract

Detailed delineation of drainage networks is the first step for many natural resource management studies. Compared with field survey and interpretation from aerial photographs or topographic maps, automation of drainage network extraction from DEMs is an efficient way and has received considerable attention. Toowoomba City is the principal activity centre for the Darling Downs, Queensland. The development of the Surat Energy and Resource Province will continue to drive population growth in Toowoomba, placing high pressure on water and other resources in the region. This study aims to extract drainage networks from a high resolution DEM to support the strategy for improving the management of the impacts of stormwater, flooding, bank stability,pollutants, water quality and creek health in Toowoomba City. Composition parameters of the drainage network including the numbers of streams and the stream lengths are derived from the high resolution DEM. Contributing area thresholds and their impacts on the extraction of drainage networks are also discussed.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: No evidence of copyright restrictions preventing deposit.
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 00:47
Last Modified: 03 Jul 2013 00:28
Uncontrolled Keywords: digital elevation model; drainage network; stream order; Toowoomba; Condamine catchment; Murray Darling Basin
Fields of Research (FOR2008): 09 Engineering > 0905 Civil Engineering > 090505 Infrastructure Engineering and Asset Management
05 Environmental Sciences > 0502 Environmental Science and Management > 050209 Natural Resource Management
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
URI: http://eprints.usq.edu.au/id/eprint/18258

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