Data-driven prediction and visualisation of dynamic bushfire risks

Laura Irina Rusu, Hoang Tam Vo, Ziyuan Wang, Mahsa Salehi, Anna Phan

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Abstract

The potential impact of bushfires is a significant concern for communities and fire response agencies, and the ability to predict the fire risk timely and accurately is critical. However, that cannot be achieved without accessing and processing very large amounts of data in almost real time. We demonstrate a data-driven fire risk prediction system that leverages big geospatial and meteorological data, where the results are visualised and made available to communities and fire agencies for risk mitigation strategies.

LanguageEnglish
Title of host publicationDatabases Theory and Applications - 27th Australasian Database Conference, ADC 2016, Proceedings
PublisherSpringer-Verlag London Ltd.
Pages457-461
Number of pages5
Volume9877 LNCS
ISBN (Print)9783319469218
DOIs
Publication statusPublished - 2016
Externally publishedYes
EventAustralasian Database Conference 2016 - The University of New South Wales, Sydney, Australia
Duration: 28 Sep 201629 Sep 2016
Conference number: 27th
https://adc2016.cse.unsw.edu.au/

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9877 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Conference

ConferenceAustralasian Database Conference 2016
Abbreviated titleADC 2016
CountryAustralia
CitySydney
Period28/09/1629/09/16
OtherThe Australasian Database Conference series is an annual forum for sharing the latest research progresses and novel applications of database systems, data driven applications and data analytics for researchers and practitioners in these areas from Australia, New Zealand and in the world.
Internet address

Cite this

Rusu, L. I., Vo, H. T., Wang, Z., Salehi, M., & Phan, A. (2016). Data-driven prediction and visualisation of dynamic bushfire risks. In Databases Theory and Applications - 27th Australasian Database Conference, ADC 2016, Proceedings (Vol. 9877 LNCS, pp. 457-461). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9877 LNCS). Springer-Verlag London Ltd.. https://doi.org/10.1007/978-3-319-46922-5_39
Rusu, Laura Irina ; Vo, Hoang Tam ; Wang, Ziyuan ; Salehi, Mahsa ; Phan, Anna. / Data-driven prediction and visualisation of dynamic bushfire risks. Databases Theory and Applications - 27th Australasian Database Conference, ADC 2016, Proceedings. Vol. 9877 LNCS Springer-Verlag London Ltd., 2016. pp. 457-461 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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author = "Rusu, {Laura Irina} and Vo, {Hoang Tam} and Ziyuan Wang and Mahsa Salehi and Anna Phan",
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Rusu, LI, Vo, HT, Wang, Z, Salehi, M & Phan, A 2016, Data-driven prediction and visualisation of dynamic bushfire risks. in Databases Theory and Applications - 27th Australasian Database Conference, ADC 2016, Proceedings. vol. 9877 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9877 LNCS, Springer-Verlag London Ltd., pp. 457-461, Australasian Database Conference 2016, Sydney, Australia, 28/09/16. https://doi.org/10.1007/978-3-319-46922-5_39

Data-driven prediction and visualisation of dynamic bushfire risks. / Rusu, Laura Irina; Vo, Hoang Tam; Wang, Ziyuan; Salehi, Mahsa; Phan, Anna.

Databases Theory and Applications - 27th Australasian Database Conference, ADC 2016, Proceedings. Vol. 9877 LNCS Springer-Verlag London Ltd., 2016. p. 457-461 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9877 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

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Rusu LI, Vo HT, Wang Z, Salehi M, Phan A. Data-driven prediction and visualisation of dynamic bushfire risks. In Databases Theory and Applications - 27th Australasian Database Conference, ADC 2016, Proceedings. Vol. 9877 LNCS. Springer-Verlag London Ltd. 2016. p. 457-461. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-46922-5_39