SDI and crowdsourced spatial information management automation for disaster management
Paper
Paper/Presentation Title | SDI and crowdsourced spatial information management automation for disaster management |
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Presentation Type | Paper |
Authors | Koswatte, Saman (Author), McDougall, Kevin and Liu, Xiaoye |
Journal or Proceedings Title | Geospatial Crowdsourcing and VGI: Establishment of SDI & SIM |
Number of Pages | 15 |
Year | 2014 |
Web Address (URL) of Paper | http://com3fig.wix.com/fig-commission3-2014 |
Conference/Event | FIG Commission 3 Workshop 2014 |
Event Details | FIG Commission 3 Workshop 2014 Event Date 04 to end of 07 Nov 2014 Event Location Bologna, Italy |
Abstract | Modern disaster reporting is becoming increasingly sophisticated with the ready access to social media and user friendly online mapping tools. The general public’s engagement in location enabled disaster reporting is more obvious and the availability of crowd generated geospatial data is higher than ever before. Crowd generated geospatial content is current and more diverse than conventional geographic information, although quality and credibility issues exist. Although Spatial Data Infrastructures (SDIs) have proven to be successful in coping with disaster management activities in the past, delays in providing public mapping portals and feedback have emerged. Within the current limitations, the lack of currency and |
Keywords | SDI, crowdsourcing, Ushahidi, Queensland floods, SIM automation |
ANZSRC Field of Research 2020 | 460912. Knowledge and information management |
401302. Geospatial information systems and geospatial data modelling | |
Public Notes | No evidence of copyright restrictions preventing deposit. |
Byline Affiliations | School of Civil Engineering and Surveying |
Faculty of Engineering and Surveying | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q2wv9/sdi-and-crowdsourced-spatial-information-management-automation-for-disaster-management
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