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Wildfire prediction involves using various techniques, data, and models to anticipate the occurrence, behavior, and spread of wildfires.Wildfire prediction plays a crucial role in protecting lives, property, and ecosystems by enabling proactive measures and effective responses to these natural disasters.

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Wildfire Prediction Dataset (Satellite Images)

Satellite images of areas that previously experienced wildfires in Canada

About Dataset

Source

Refer to Canada's website for the original wildfires data: Forest Fires - Open Government Portal Original license for the data: Creative Commons 4.0 Attribution (CC-BY) license – Quebec

About Dataset

This dataset contains satellite images (350x350px) in 2 classes :

  • Wildfire : 22710 images
  • No wildfire : 20140 images

How

Using Longitude and Latitude coordinates for each wildfire spot (> 0.01 acres burned) found on the dataset above we extracted satellite images of those areas using MapBox API to create a more convenient format of the dataset for deep learning and building a model that can predict whether an area is at risk of a wildfire or not

About

Wildfire prediction involves using various techniques, data, and models to anticipate the occurrence, behavior, and spread of wildfires.Wildfire prediction plays a crucial role in protecting lives, property, and ecosystems by enabling proactive measures and effective responses to these natural disasters.

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