Climate Change Forecast for Forest Fire Risk Prediction using Deep Learning

Climate change is a hazard to the environment, generating serious problems such as global warming, which can be catastrophic. To predict the severity of this situation, it is necessary to examine climate change patterns over the course of several decades. This forecast can help us predict the magnitude of the impact and, as a result, give us an insight on taking the required precautions to address this pressing issue. It has been observed through multiple studies that climate change has led to a dramatic increase in forest fires and risks associated with it. Temperature peaks can cause forest fires because of the scorching heat. This work intends to aid in the prediction of forest fire risk based on climate change patterns based on temperature records from the last few decades, and to give us an indication of how the climate will be in the future, thereby, giving an insight into probable forest fire risks. For the prediction, we use traditional Machine Learning methods, with Deep learning techniques included to enhance forecast accuracy.