LiDAR data for DEM generation and flood plain mapping

Burke, Maxwell James (2013) LiDAR data for DEM generation and flood plain mapping. [USQ Project]

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Abstract

High­-resolution Digital Elevation Model(DEM) is a key spatial dataset for flood plain mapping and catchment
management.On the 10th of January 2011, heavy rainfall caused flash flooding through Toowoomba city and central business district resulting in loss of life and significant
damage to public and private property. Effective flash flood
forecasting is a big challenge that requires accurate catchment spatial information. Much research has been undertaken on the use of airborne LiDAR data to generate high-resolution DEM.

The aim of this report is to determine the suitability of using airborne LiDAR data for flood plain mapping and catchment management. Airborne LiDAR data will be used to
generate a high resolution DEM for a section of West Creek, part of the Gowrie Creek catchment, Toowoomba, Queensland. Accuracy of this high-­‐resolution DEM was verified using GPS survey equipment to gather point data over the study area. Flood zone, inundation depth and water volume was extracted from the LiDAR derived DEM for flood surface levels indicative of the 2011 floods. These datasets were
verified using the GPD derived DEM.


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Item Type: USQ Project
Item Status: Live Archive
Additional Information: Bachelor of Spatial Science (Surveying) project.
Faculty / Department / School: Current - Faculty of Health, Engineering and Sciences - School of Civil Engineering and Surveying
Supervisors: Liu, Xiaoye
Date Deposited: 23 Jun 2014 04:34
Last Modified: 07 Mar 2016 06:36
Uncontrolled Keywords: LiDAR data; DEM generation; flood plain mapping; Toowoomba
Fields of Research : 09 Engineering > 0907 Environmental Engineering > 090702 Environmental Engineering Modelling
04 Earth Sciences > 0406 Physical Geography and Environmental Geoscience > 040604 Natural Hazards
09 Engineering > 0909 Geomatic Engineering > 090903 Geospatial Information Systems
URI: http://eprints.usq.edu.au/id/eprint/24662

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