EventsThe 2nd International Electronic Conference on Forests — Sustainable Forests: Ecology, Management, Products and Trade
Event submissions
Published
with-doi10.3390/IECF2021-10806
This submission belongs to the session S6. Forest Wildfire Hazards, Risks and Other Disasters of the event The 2nd International Electronic Conference on Forests — Sustainable Forests: Ecology, Management, Products and Trade
Published date
31 Aug, 2021
Academic Editor
author-avatarVictor Resco de Dios
Citation
Suresh Babu KV, Vernon Visser, Glenn Moncrieff, Jasper Slingsby, Res Altwegg, A machine learning algorithm approach to map the wildfire probability based on static parameters, in Proceedings of The 2nd International Electronic Conference on Forests — Sustainable Forests: Ecology, Management, Products and Trade, 1 September–15 September 2021, MDPI: Basel, Switzerland, doi: 10.3390/IECF2021-10806
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A machine learning algorithm approach to map the wildfire probability based on static parameters

Suresh Babu KV 1
Vernon Visser 2
Glenn Moncrieff 3
Jasper Slingsby 4
Res Altwegg 5
1. Postdoctoral Research Fellow
2. Research Fellow
3. Data Scientist
4. Scientist
5. Associate Professor
Abstract
Keywords
wildfires
RF
MODIS
SFDI
machine learning