Wildfire Prediction and Visualization

A Python-based project to predict wildfire spread using real-time weather and fire data, paired with geospatial visualizations to aid decision-making and risk assessment.

Features

• 🔥 Predict wildfire spread based on weather and location data.
• 🌎 Visualize fire locations and affected areas on an interactive map.
• 🚀 Easy-to-use modular design for integration and scaling.

Project Structure

📂 setup/  
├── data/                    # Directory for storing raw and processed data  
├── env/                     # Environment-related files  
├── models/spread_model/     # Fire spread simulation model  
├── scripts/                 # Scripts for fetching and preprocessing data  
│   ├── fetch_fire.py        # Fetches wildfire data from NASA FIRMS  
│   ├── fetch_weather.py     # Fetches weather data from OpenWeatherMap  
│   ├── preprocess.py        # Preprocessing for fire and weather data  
├── visualizations/          # Visualization tools and output maps  
│   ├── map_visualizer.py    # Visualizes fire locations on an interactive map  
├── main.py                  # Main execution file  
├── requirements.txt         # Python dependencies  

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/wildfire-prediction.git

2. Set Up Virtual Environment

   python -m venv env  
   source env/bin/activate  # On Windows, use 'env\Scripts\activate'  

3. Install dependencies:

   pip install -r requirements.txt

Usage

1. Fetch weather and fire data using the provided scripts:

   python main.py

2. API keys in the .env Replace placeholders in fetch_fire.py and fetch_weather.py with your NASA FIRMS and OpenWeatherMap API keys.

3. View the visualization: Open visualizations/fire_map.html in your browser.

Acknowledgements

• NASA FIRMS for wildfire data
• OpenWeatherMap for weather data
• Folium for interactive maps