US Forest Fire Size Prediction using Machine Learning
Description
The number of extreme wildfires is on the rise globally, and predicting the size of a fire will help officials make appropriate decisions to mitigate the risk the fire poses against the environment and humans. This study attempts to find the burned area of fires in the United States based on attributes such as time, weather, and location of the fire using machine learning methods.
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2022-12
Agent
- Author (aut): Prabagaran, Padma
- Co-author: Prabagaran, Padma
- Thesis director: Meuth, Ryan
- Committee member: McCulloch, Robert
- Contributor (ctb): Barrett, The Honors College
- Contributor (ctb): Computer Science and Engineering Program
- Contributor (ctb): School of Mathematical and Statistical Sciences