Deep cognitive imaging systems enable estimation of continental-scale fire incidence from climate data

Scientific Reports

Volumn 3, Issue , 2013, Pages

  Dutta, Ritaban ^a   Aryal, Jagannath ^b   Das, Aruneema ^b   Kirkpatrick, Jamie B ^b  

^a CSIRO   (Australia)

^b UNIVERSITY OF TASMANIA   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84887762505     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/srep03188     Document Type: Article

References (30)

1. Bond,W. J. & Keeley, J. E. Fire as a global 'herbivore': the ecology and evolution of flammable ecosystems. Trends Ecol. Evol. 20, 387-394 (2005). (Pubitemid 40817318)
2. Bowman, D. M. J. S. et al. Fire in the earth system. Science 324, 481-484 (2009).
3. Lohman,D. J., Bickford, D.&Sodhi, N. S. Cost of wildfire. Science 316, 376 (2007).
4. Gill, A. M. Landscape fires as social disasters: an overview of 'the bushfire problem'. Glob. Envir. Ch. B 6, 65-80 (2005).
5. Mooney, S. D. et al. Late Quaternary fire regimes of Australasia. Quat. Sci. Rev. 30, 28-46 (2011).
6. Marlon, J. R. et al. Climate and human influences on global biomass burning over the past two millennia. Nature Geoscience 1, 697-702 (2008).
7. Boer, M. M., Sadler, R. J., Bradstock, R. A.,Gill, A. M.& Grierson, P. F. Spatial scale invariance of southern Australian forest fires mirrors the scaling behaviour of weather events. Landsc. Ecol. 23, 899-913 (2008).
8. Spracklen, D. V. et al. Impacts of climate change from 2000 to 2050 on wildfire activity and carbonaceous aerosol concentrations in the western United States. J. Geophys. Res. 114, D20301 (2009).
9. Westerling, A. L. et al. 2011. Continued warming could transform Greater Yellowstone fire regimes by mid-21st century. PNAS 108, 13165-70 (2011).
10. Bradstock, R. A., Cohn, J. S., Gill, A. M., Bedward, M. & Lucas, C. Prediction of the probability of large fires in the Sydney region of south-eastern Australia using fire weather. Intnl. J. Wildland Fire 18, 932-943 (2009).
11. Elman, J. L. Finding structure in time. Cognitive Science 14, 179-211 (1990).
12. Giglio, L., van der Werf, G. R., Randerson, J. T., Collatz, G. J. & Kasibhatla, P. Global estimation of burned area using MODIS active fire observations. Atmosph. Chem. Phys. 6, 957-974 (2006).
13. Carmona-Moreno, C. et al. Characterizing interannual variations in global fire calendar using data from Earth observing satellites. Global Change Biology 11, 1537-1555 (2005). (Pubitemid 43898775)
14. Cary, G., Lindenmayer, D. & Dover, S. Australia Burning: Fire Ecology, Policy and Management Issues (CSIRO Publishing, CSIRO submission, Melbourne, 2003).
15. Hennessy, K. J. et al. Climate Change Impacts on Fire-Weather in South-East Australia Report C/1061. (CSIRO Publishing, CSIRO submission, Melbourne, 2006).
16. Clarke, H., Lucasc, C. & Smith, P. Changes in Australian fire weather between 1973 and 2010. Int. J. Climatol. 33, 931-944 (2013).
17. Byram, G. M. (1959) Combustion of forest fuels. Forest Fire: Control and Use pp. 61-89 (McGrawHill Book Co, 1959).
18. Goldammer, J. G. & Price, C. Potential impacts of climate change on fire regimes in the tropics based on MAGICC and a GISS GCM-derived lightning model. Climatic Change 39, 273-296 (1998). (Pubitemid 28360179)
19. Luke, R. H. Bushfire control in Australia (Hodder & Stoughton, 1961).
20. Russell-Smith, J. et al. Bushfire "down under": patterns and implications of contemporary Australian burning. Intnl. J. Wildland Fire 16, 361-377 (2007). (Pubitemid 47293295)
21. McArthur,A. G. Forest Fire Danger Meter (Forest Research Institute, Forestry and Timber Bureau, Canberra, Australia, 1973).
22. Wilson, R. A. Observations of extinction and marginal burning states in free burning porous fuel beds. Combust. Sci. Technol. 44, 179-193 (1985).
23. Parisien, M. & Moritz, M. A. Environmental controls on the distribution of wildfire at multiple spatial scales. Ecol. Monogr. 79, 127-154 (2009).
24. Krizhevsky, A., Sutskever, I. & Hinton, G. E. ImageNet Classification with Deep Convolutional Neural Networks. Advances in Neural Information Processing 25, MIT Press, Cambridge, MA.
25. Alonso-Betanzosa, A. et al. An intelligent system for forest fire risk prediction and fire fightingmanagement in Galicia. Expert Systems with Applications 25, 545-554 (2003).
26. Cheng, T. & Wang, J. Integrated spatio-temporal data mining for forest fire prediction. Trans. GIS 12(5), 591-611 (2008).
27. Bradstock, R. A. A biogeographic model of fire regimes in Australia: current and future implications. Glob. Ecol. Biogeogr. 19, 145-158 (2010).
28. Australian Water Availability Project Website: http://www.eoc.csiro.au/ awap/ (September 2013).
29. Australian Bureau of Meteorology web homepage: http://www.bom.gov.au/ (September 2013).
30. The NASA FIRMS MODIS Archive Download service Website: http://earthdata. nasa.gov/data/near-real-time-data/firms/active-fire-data#tab-content-7 (September 2013).