3D hydrologic features mapping with imaging rover

Pettersson, Declan (2016) 3D hydrologic features mapping with imaging rover. [USQ Project]

[img]
Preview
Text (Main Project)
Pettersson_D_Liu.pdf

Download (4Mb) | Preview

Abstract

Severe weather events and flooding have damaged waterways in Toowoomba in the summer of 2011; however with the aid of flood mapping, the damage can be greatly reduced. Flood mapping has always been of major importance to local councils and communities as it identifies flood prone areas and allows the authorities to mitigate the risk to reduce damage. New technology has emerged that can accurately create 3D image models of flood prone sites in an attempt to map hydrological features and the potential risks. The Trimble V10 Imaging Rover can create a spatially accurate image model and point cloud that can later be processed and measured off to create flood mitigation solutions. The aim of the project is to see whether the Trimble V10 Imaging Rover is a viable solution for flood mapping and hydrologic feature modelling within small catchments and creeks.

A section of West Creek in the centre of Toowoomba was selected for the site and a survey using the Trimble V10 and R10 GNSS receiver was completed. The data was processed in Trimble Business Centre to create a useable model. The automatic tie-point method was selected for the registration of the images to create an image model and later, a point cloud was generated.

This research proposal identifies that the creation of an image model within Trimble Business Centre allows simple analysis of the hydrological features. Areas and distances can be accurately measured; however a point cloud is required for a more detailed analysis of the features. The point cloud was poorly generated and was extremely patchy and unreliable which made it virtually unusable. The horizontal coordinates of the models were similar however the heights were significantly different. The research project is useful to councils and local governments to try and mitigate flood risks and damages.


Statistics for USQ ePrint 31459
Statistics for this ePrint Item
Item Type: USQ Project
Item Status: Live Archive
Additional Information: Bachelor of Spatial Science (Honours) Major Surveying project
Faculty / Department / School: Current - Faculty of Health, Engineering and Sciences - School of Civil Engineering and Surveying
Supervisors: Liu, Xiaoye
Date Deposited: 21 Jul 2017 03:42
Last Modified: 21 Jul 2017 03:42
Uncontrolled Keywords: 3D hydrologic; weather events; imaging rover; flood mapping
Fields of Research : 09 Engineering > 0909 Geomatic Engineering > 090906 Surveying (incl. Hydrographic Surveying)
URI: http://eprints.usq.edu.au/id/eprint/31459

Actions (login required)

View Item Archive Repository Staff Only