Full metadata
Title
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
2022-12
Contributors
- Prabagaran, Padma (Author, Co-author)
- Meuth, Ryan (Thesis director)
- McCulloch, Robert (Committee member)
- Barrett, The Honors College (Contributor)
- Computer Science and Engineering Program (Contributor)
- School of Mathematical and Statistical Sciences (Contributor)
Topical Subject
Resource Type
Copyright Statement
In Copyright
Primary Member of
Peer-reviewed
No
Open Access
No
Series
Academic Year 2022-2023
Handle
https://hdl.handle.net/2286/R.2.N.170800
System Created
- 2022-11-29 02:57:23
System Modified
- 2023-01-10 11:47:14
- 1 year 10 months ago
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