Forest fires and extreme wildfire events pose a major threat to ecosystems worldwide. This paper implements various machine learning algorithms for the prediction of forest fires in Northern Thailand, a region which is severely impacted by fire events and the resulting pollution. Using publicly available satellite data of fires and weather information, two prediction models, namely the Random Forest and Support Vector Machines, were developed and tested for their accuracy in forecasting forest fire occurrences. Initial results indicate that both models have an accuracy of approximately 60% in predicting forest fires. The real-time prediction data based on current weather conditions is further displayed in a dashboard. The online dashboard has been integrated with Project FIREfly which is a collaboration with Chiang Mai University and the University of Glasgow to visualize real-time data of forest fires. Through the integration of the predictive models, the online dashboard is able to show the probability of forest fires which improves situational awareness for emergency response services and enables them to take proactive measures in managing forest fires.
Machine Learning, Random Forest, Support Vector Machine, Decision Tree, Weka
International Journal of Trend in Scientific Research and Development - IJTSRD having
online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International
Journal which provides rapid publication of your research articles and aims to promote
the theory and practice along with knowledge sharing between researchers, developers,
engineers, students, and practitioners working in and around the world in many areas
like Sciences, Technology, Innovation, Engineering, Agriculture, Management and
many more and it is recommended by all Universities, review articles and short communications
in all subjects. IJTSRD running an International Journal who are proving quality
publication of peer reviewed and refereed international journals from diverse fields
that emphasizes new research, development and their applications. IJTSRD provides
an online access to exchange your research work, technical notes & surveying results
among professionals throughout the world in e-journals. IJTSRD is a fastest growing
and dynamic professional organization. The aim of this organization is to provide
access not only to world class research resources, but through its professionals
aim to bring in a significant transformation in the real of open access journals
and online publishing.