uavsar-lidar-ml-project2

ML-based InSAR models for snow depth estimation in the central mountains of ID.

• Free software: MIT License
• Documentation: https://Ibrahim-Ola.github.io/uavsar-lidar-ml-project2

Features

• TODO

📌 InSAR ML

📖 Overview

A machine learning for snow density estimation project.

This repository includes:

• Source code for uavsar-lidar-ml-project2.
• A reproducible Conda environment.
• Instructions for setup and usage.

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⚙️ Installation and Setup

1️⃣ Install Conda

If you don’t have Conda installed, download Miniconda or Anaconda.

2️⃣ Clone This Repository

git clone [email protected]:cryogars/density-models.git
cd your-repo-name

3️⃣ Create and Activate the Conda Environment

Run the following commands to create a reproducible Conda environment:

conda env create --file environment.yml
conda activate my_project_env  # Use the name defined in environment.yml

4️⃣ Verify Installation

Ensure everything is set up correctly:

python --version  # Should match the version in environment.yml
conda list  # Displays installed packages

5️⃣ Updating the Environment

If you install a new package, manually add it to environment.yml, then update the environment:

conda env update --file environment.yml --prune

6️⃣ Deactivating and Removing the Environment

To deactivate the environment:

conda deactivate

To completely remove the environment:

conda env remove --name my_project_env

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🚀 Usage

(Explain how users should use your project. Provide examples, command-line instructions, or API usage if applicable.)

python main.py  # Example of running the project

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📜 License

This project is licensed under the MIT License. See the LICENSE file for details.

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🤝 Contributing

Contributions are welcome! Please follow these steps:

1. Fork the repository.
2. Create a new branch (git checkout -b feature-name).
3. Commit your changes (git commit -m 'Add new feature').
4. Push to your branch (git push origin feature-name).
5. Open a pull request.

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📧 Contact

For any questions or issues, please open an issue or reach out to [email protected].

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🚀 Happy coding! 🎉