AIN311 Project - Climate Change and Forest Fires - Blog 1 (Proposal)
Climate Change and Forest Fires
In the world, there are millions of hectares of forests and lands that has been destroyed by forest fires and new ones are being added over the years. There are many reasons which we can say that these may cause wildfires and climate change is one of them.
This project aims to investigate and analyze the relationship between climate change and forest fire data then develop a machine-learning based prediction system to alleviate this problem and thus, we aim to contribute to the protectability and sustainability of forest areas around the world.
Data
These are the datasets we are planning to use in this research:
Climate Change: Earth Surface Temperature Data
Exploring global temperatures since 1750
www.kaggle.com
Related Work
Sevinç, V. (2022). Mapping the forest fire risk zones using artificial intelligence with risk factors data. Environmental Science and Pollution Research.
In the first article, the relationships between forest fires in various regions of Turkey and their association with both human and natural factors has been investigated. The study aims to identify high-risk areas for forest fires with using clustering techniques.
Wu, Z.; Li, M.; Wang, B.; Quan, Y.; Liu, J. Using Artificial Intelligence to Estimate the Probability of Forest Fires in Heilongjiang, Northeast China. Remote Sens. 2021, 13, 1813.
In the second article, various types of factors influencing the occurrence of forest fires in the Heilongjiang region were examined. Additionally, artificial neural networks and logistic regression methods were compared for forest fire prediction.
Gökhan ÇELİK & Hüseyin Eren DOĞAN & Umut ŞAHİN
