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