eCite Digital Repository

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

Citation

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]


Preview
PDF
1Mb
  

Copyright Statement

Copyright 2016 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.

DOI: doi:10.1098/rsos.150241

Abstract

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
Author:Das, A (Dr Aruneema Das)
Author:Aryal, J (Dr Jagannath Aryal)
ID Code:106486
Year Published:2016
Web of Science® Times Cited:3
Deposited By:Geography and Spatial Science
Deposited On:2016-02-11
Last Modified:2017-10-25
Downloads:123 View Download Statistics

Repository Staff Only: item control page