Calculate environmental risk metrics for a given polygon using advanced geospatial and data processing tools.
- NDVI Calculation: Compute Normalized Difference Vegetation Index (NDVI) values for specified polygons.
- Sentinel-2 Integration: Load and process Sentinel-2 satellite data for various spectral bands.
- Interactive Notebooks: Utilize Jupyter notebooks for data analysis and visualization.
- Comprehensive Soil Data: Incorporates detailed soil type information for accurate risk assessment.
- Protected Areas: Get nearest Ramsar protected sites for a given geometry
- Social Indices: Get Global Witness data for the countries containing or intersecting the given geometry
- Endangered Species: Get endangered species data for the countries containing or intersecting the given geometry
- Climate Data: Get climate data for the countries containing or intersecting the given geometry
- Python 3.12+
- Git
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Clone the Repository
pip install environmental-risk-metrics
Interactive analysis can be performed using the provided Jupyter notebooks.
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Navigate to the Notebooks Directory
cd notebooks
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Launch Jupyter Notebook
jupyter notebook
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Open and Run the Desired Notebook
For example, open
01 - all_metrics.ipynb
to explore environmental risk metrics calculations.
Contributions are welcome! Please follow these steps:
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Fork the Repository
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Create a Feature Branch
git checkout -b feature/YourFeature
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Commit Your Changes
git commit -m "Add some feature"
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Push to the Branch
git push origin feature/YourFeature
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Open a Pull Request
This project is licensed under the MIT License. See the LICENSE file for details.
Developed by Thimm. For any inquiries or feedback, please reach out via email.