https://www.fs.fed.us/rm/pubs/rmrs_gtr042_1.pdf

Additional resources :

https://www.statista.com/chart/19089/number-of-wil...

https://www.researchgate.net/

https://relay.nationalgeographic.com/proxy/distrib...

Here you can see our presentation

Here you can see main steps of our idea:

• to study general behavior of animals
• to get data of tracking of the animals in the wildfire zones
• to analyze the data with ML
• to find any anomalies in their behavior during wildfires
• to develop an app that spots wildfire using real-time tracking data
• to take a satellite image to be more precise
• to warn local government about wildfire in the region

Animal tracking is used for 30 years over the world, so it means we can get a huge amount of data to feed our ML algorithms it will give us more precise. Also, our app will have significant contributions to biologists, specifically ones that interested in animal behaviors.

We will feed past wildfire ocurrences data detected by satellites and past animal track datas into the ML algorithm so the algorithm can get the relation between wilfires and animal behaviour. Then this algorithm will be used to detect wildfires and also this prediction will be confirmed by sattelite data.

Everyone knows how the wildfires catastrophic are. And it's impossible to put out the fire completely , so we should quickly determine the place we the wildfire just starts and then prevent it. And our mission is to detect the place of wildfire using the data of animal tracking. How it works? With the help of ML app analyzes the motion and behavior of animals during wildfires in the burning areas. It studies the motion of animals during wildfires and then when there will be anomaly in animal behavior , the app will be able to determine the place of the just started wildfire.