💡[Feature]: Forest Fire Prediction using Satellite Imagery and Machine Learning

[Aditi22Bansal]

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Feature Description

Data Collection
Satellite Imagery: Obtain satellite imagery from sources such as NASA’s MODIS (Moderate Resolution Imaging Spectroradiometer) or Sentinel-2 data from the Copernicus program.
Environmental Data: Collect supplementary data like temperature, humidity, wind speed, and vegetation index (NDVI).
Historical Fire Data: Gather historical data on forest fires to train the model.

Use Case

Feature Extraction
Image Features: Use techniques like image segmentation to identify areas of interest in satellite images.
Environmental Features: Extract key indicators like high temperature, low humidity, or dry vegetation that are associated with forest fires.

Benefits

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Priority

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[Aditi22Bansal]

@TAHIR0110
@Avdhesh-Varshney
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