Using volunteered information to map the Queensland floods
Paper
Paper/Presentation Title | Using volunteered information to map the Queensland floods |
---|---|
Presentation Type | Paper |
Authors | |
Author | McDougall, Kevin |
Journal or Proceedings Title | Proceedings of the 2011 Surveying and Spatial Sciences Conference: Innovation in Action: Working Smarter (SSSC 2011) |
ERA Conference ID | 60713 |
Number of Pages | 11 |
Year | 2011 |
Place of Publication | Adelaide, Australia |
Web Address (URL) of Paper | http://www.sssc2011.com |
Conference/Event | 2011 Surveying and Spatial Sciences Conference: Innovation in Action: Working Smarter (SSSC 2011) |
Surveying and Spatial Sciences Institute Biennial International Conference | |
Event Details | 2011 Surveying and Spatial Sciences Conference: Innovation in Action: Working Smarter (SSSC 2011) Event Date 21 to end of 25 Nov 2011 Event Location Wellington, New Zealand |
Event Details | Surveying and Spatial Sciences Institute Biennial International Conference |
Abstract | The recent flood events and tropical cyclones in Queensland have dramatically impacted on people's lives across the State. Damage in excess of five billion dollars has been reported and the cost to the economy continues to rise. Although most of the flooding has receded, the clean-up and re-building will continue for years. The Queensland floods were characterised by the unprecedented use of social media to report events as they happened and was used very effectively by the main stream media. Social media networks such as Twitter and Facebook, not only informed people of the events as they unfolded, they have now also provided a historical archive for use in future planning and mapping. Although the Commonwealth and State governments and the private sector did a magnificent job in mapping the flood events where possible, a number of gaps still exist. This paper discusses the use of volunteered geographic information such as photographs and videos to assist in mapping the flood extents in regions where there was little or no mapping available. Through the integration of volunteered information with existing geographic information, hydrological data and local knowledge, flood extents can be re-constructed and hence mapped. |
Keywords | spatial information; mapping; floods; volunteered geographic information; social media |
ANZSRC Field of Research 2020 | 460608. Mobile computing |
400604. Network engineering | |
401302. Geospatial information systems and geospatial data modelling | |
Byline Affiliations | Australian Centre for Sustainable Catchments |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q107x/using-volunteered-information-to-map-the-queensland-floods
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Koswatte, Saman, McDougall, Kevin and Liu, Xiaoye. 2018. "VGI and crowdsourced data credibility analysis using spam email detection techniques." International Journal of Digital Earth: a new journal for a new vision. 11 (5), pp. 520-532. https://doi.org/10.1080/17538947.2017.1341558Semantic location extraction from crowdsourced data
Koswatte, Saman, McDougall, Kevin and Liu, Xiaoye. 2016. "Semantic location extraction from crowdsourced data." 23rd International Society for Photogrammetry and Remote Sensing (ISPRS 2016). Prague, Czech Republic 12 - 19 Jul 2016 Germany. https://doi.org/10.5194/isprsarchives-XLI-B2-543-2016An application of space filling curves to digital terrain models
Scarmana, Gabriel and McDougall, Kevin. 2016. "An application of space filling curves to digital terrain models." Jarosz, Andrew (ed.) 16th International Congress for Mine Surveying: Connecting Education and Industry. Brisbane, Australia 12 - 16 Sep 2016 Brisbane, Australia.Review of Australian land use mapping and land management practice
Baral, Govinda Prasad, McDougall, Kevin and Chong, Albert. 2011. "Review of Australian land use mapping and land management practice." 2011 Surveying and Spatial Sciences Conference: Innovation in Action: Working Smarter (SSSC 2011). Wellington, New Zealand 21 - 25 Nov 2011 Adelaide, Australia.SDI and crowdsourced spatial information management automation for disaster management
Koswatte, S., McDougall, K. and Liu, X.. 2015. "SDI and crowdsourced spatial information management automation for disaster management." Survey Review. 47 (344), pp. 307-315. https://doi.org/10.1179/1752270615Y.0000000008SDI and crowdsourced spatial information management automation for disaster management
Koswatte, Saman, McDougall, Kevin and Liu, Xiaoye. 2014. "SDI and crowdsourced spatial information management automation for disaster management." FIG Commission 3 Workshop 2014. Bologna, Italy 04 - 07 Nov 2014Flood inundation mapping using hydraulic modelling and GIS: a case study in the West Creek sub-catchment
Sahib, Basheer, Liu, Xiaoye and McDougall, Kevin. 2014. "Flood inundation mapping using hydraulic modelling and GIS: a case study in the West Creek sub-catchment." 3rd National Conference on Urban Water Management: Storm water 2014. Adelaide, South Australia 13 - 17 Oct 2014 Australia.Exploring the application of some common raster scanning paths on lossless compression of elevation images
Scarmana, Gabriel and McDougall, Kevin. 2015. "Exploring the application of some common raster scanning paths on lossless compression of elevation images." IEEE International Geoscience and Remote Sensing Symposium 2015 (IGARSS 2015): Remote Sensing: Understanding the Earth for a Safer World. Milan, Italy 26 - 31 Jul 2015 Milan, Italy.Vulnerability assessment and interdependency analysis of critical infrastructures for climate adaptation and flood mitigation
Espada Jr., Rodolfo, Apan, Armando and McDougall, Kevin. 2015. "Vulnerability assessment and interdependency analysis of critical infrastructures for climate adaptation and flood mitigation." International Journal of Disaster Resilience in the Built Environment. 6 (3), pp. 313-346. https://doi.org/10.1108/IJDRBE-02-2014-0019Spatial modelling of natural disaster risk reduction policies with Markov decision processes
Espada Jr., Rodolfo, Apan, Armando and McDougall, Kevin. 2014. "Spatial modelling of natural disaster risk reduction policies with Markov decision processes." Applied Geography. 53, pp. 284-298. https://doi.org/10.1016/j.apgeog.2014.06.021Characterisation of network objects in natural and anthropic environments
Harris, Bruce, McDougall, Kevin and Barry, Michael. 2014. "Characterisation of network objects in natural and anthropic environments." Dragicevic, S. and Li, S. (ed.) ISPRS Technical Commission II Midterm Symposium 2014. Toronto, Canada 06 - 08 Oct 2014 London, United Kingdom. https://doi.org/10.5194/isprsarchives-XL-2-161-2014The impact of varying statutory arrangements on spatial data sharing and access in regional NRM bodies
Paudyal, D. R., McDougall, K. and Apan, A.. 2014. "The impact of varying statutory arrangements on spatial data sharing and access in regional NRM bodies." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. II (8), pp. 193-197. https://doi.org/10.5194/isprsannals-II-8-193-2014A pyramid approach to lossless data compression of grid-based digital elevation models
Scarmana, Gabriel and McDougall, Kevin. 2014. "A pyramid approach to lossless data compression of grid-based digital elevation models." IEEE International Geoscience and Remote Sensing Symposium 2014 (IGARSS 2014): Energy and our Changing Planet. Quebec City, Canada 13 - 18 Jul 2014 Piscataway, NJ. United States. https://doi.org/10.1109/IGARSS.2014.6946981Developing spatial information sharing strategies across natural resource management communities
Paudyal, Dev Raj, McDougall, Kevin and Apan, Armando. 2013. "Developing spatial information sharing strategies across natural resource management communities." Onsrud, Harlan and Rajabifard, Abbas (ed.) Spatial Enablement in Support of Economic Development and Poverty Reduction: Research, Development and Education Perspectives. Needham, MA, USA. GSDI Association Press. pp. 141-168Using spatial modelling to develop flood risk and climate adaptation capacity metrics for vulnerability assessments of urban community and critical water supply infrastructure
Espada Jr., Rodolfo, Apan, Armando and McDougall, Kevin. 2013. "Using spatial modelling to develop flood risk and climate adaptation capacity metrics for vulnerability assessments of urban community and critical water supply infrastructure." Featherstone, Jeffrey (ed.) 49th World Congress of the International Society of City and Regional Planners (ISOCARP 2013): Frontiers of Planning: Evolving and Declining Models of City Planning Practice. Brisbane, Australia 01 - 04 Oct 2013 Netherlands.A comparison between static and dynamic foot mobility magnitude measures
Alshadli, Duaa, Chong, Albert K., Newsham-West, Richard, Al-Baghdadi, Jasim Ahmed Ali, Milburn, Peter and McDougall, Kevin. 2013. "A comparison between static and dynamic foot mobility magnitude measures." Toby, Hung (ed.) 31st International Conference on Biomechanics in Sports (ISBS 2013). Taipei, Taiwan 07 - 11 Jul 2013 Taipei, Taiwan.Human foot plantar surface shape change during gait
AL-Baghdadi, Jasim Ahmed Ali, Chong, Albert K., McDougall, Kevin, Milburn, Peter and Newsham-West, Richard. 2013. "Human foot plantar surface shape change during gait." Toby, Hung (ed.) 31st International Conference on Biomechanics in Sports (ISBS 2013). Taipei, Taiwan 07 - 11 Jul 2013 Taipei, Taiwan.Using spatial modelling to develop flood risk and climate adaptation capacity metrics for assessing urban community and critical electricity infrastructure vulnerability
Espada Jr., R., Apan, A. and McDougall, K.. 2013. "Using spatial modelling to develop flood risk and climate adaptation capacity metrics for assessing urban community and critical electricity infrastructure vulnerability." Piantadosi, J., Anderssen, R. S. and Boland, J. (ed.) 20th International Congress on Modelling and Simulation (MODSIM2013). Adelaide, Australia 01 - 06 Dec 2013 Australia. Modelling and Simulation Society of Australia and New Zealand . https://doi.org/10.36334/modsim.2013.L1.espadaThe global cadastre
McDougall, Kevin, Bennett, Rohan and Molen, Paul van der. 2013. "The global cadastre." GIM International. 27 (7), pp. 30-34.![](/~245/eia/default-thumbnail.png)