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Python library for post-fire assessment and wildfire analysis using Google Earth Engine.

Project description

wildfire-analyser

Python project for analyzing wildfires in natural reserves.

📦 Installing the wildfire-analyser library

You can install the library directly from PyPI:

pip install wildfire-analyser

After installation, you can import and use the main classes normally:

from wildfire_analyser import PostFireAssessment, Deliverable, FireSeverity

To use the example client included in the package, run:

python3 -m wildfire_analyser.client

Make sure your environment includes the required credentials (e.g., .env file) before running the client.

Setup Instructions for Developers

  1. Clone the repository
git clone git@github.com:camargo-advanced/wildfire-analyser.git
cd wildfire-analyser
  1. Create a virtual environment
python3 -m venv venv
  1. Activate the virtual environment
source venv/bin/activate
  1. Install dependencies Make sure the virtual environment is activated, then run:
pip install -r requirements.txt
  1. Configure environment variables Copy your version of .env file to the root folder with your GEE authentication credentials. A template file .env.template is provided as an example.

  2. Run the sample client application

python3 -m wildfire_analyser.client

Useful Commands

  • Deactivate the virtual environment:
deactivate

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