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💡[Feature]: Forest Fire Prediction using Satellite Imagery and Machine Learning #353
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.
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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.
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