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Big data integration shows Australian bush-fire frequency is increasing significantly


Dutta, R and Das, A and Aryal, J, Big data integration shows Australian bush-fire frequency is increasing significantly, Royal Society Open Science, 3, (2) Article 150241. ISSN 2054-5703 (2016) [Refereed Article]


Copyright Statement

Copyright 2016 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License, which permits unrestricted use, provided the original author and source are credited.

DOI: doi:10.1098/rsos.150241


Increasing Australian bush-fire frequencies over the last decade has indicated a major climatic change in coming future. Understanding such climatic change for Australian bush-fire is limited and there is an urgent need of scientific research, which is capable enough to contribute to Australian society. Frequency of bush-fire carries information on spatial, temporal and climatic aspects of bush-fire events and provides contextual information to model various climate data for accurately predicting future bush-fire hot spots. In this study, we develop an ensemble method based on a two-layered machine learning model to establish relationship between fire incidence and climatic data. In a 336 week data trial, we demonstrate that the model provides highly accurate bush-fire incidence hot-spot estimation (91% global accuracy) from the weekly climatic surfaces. Our analysis also indicates that Australian weekly bush-fire frequencies increased by 40% over the last 5 years, particularly during summer months, implicating a serious climatic shift.

Item Details

Item Type:Refereed Article
Keywords:bushfire, NASA, remote sensing, geospatial analysis, bush-fire frequency, ensemble machine learning, big data, climatic shift, decision science
Research Division:Engineering
Research Group:Geomatic engineering
Research Field:Photogrammetry and remote sensing
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the earth sciences
UTAS Author:Das, A (Dr Aruneema Das)
UTAS Author:Aryal, J (Dr Jagannath Aryal)
ID Code:106486
Year Published:2016
Web of Science® Times Cited:63
Deposited By:Geography and Spatial Science
Deposited On:2016-02-11
Last Modified:2017-10-25
Downloads:284 View Download Statistics

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