Ashoka74/EQ_Forecast

Using WhiteStork behavior sequences for EQ forecasting

Migratory Birds for Earthquake Forecasting

Subtle geo-magnetic anomalies in the ULF bandwidth called Unipolar Pulses can occur a few days prior to earthquakes. We believe that magneto-receptive migratory birds such as White Storks can feel these subtle changes in the local geo-magnetic field. Hence, we used Supervised-Learning to predict earthquake imminence by feeding a B-LSTM with White Stork' daily behaviour sequences.

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Table of Contents

1. About The Project
   • Built With
2. Getting Started
   • Prerequisites
   • Installation
3. Usage
4. Roadmap
5. Contributing
6. License
7. Contact
8. Acknowledgments

About The Project

Built With

• R
• Python
• SageMaker Studio

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Getting Started

This is an example of how you may give instructions on setting up your project locally. To get a local copy up and running follow these simple example steps.

Prerequisites

You should have Python already installed.

If using another editor than SageMaker Studio

• Create a Virtual Environment in the root folder

  python -m venv .venv

Installation

1. Open SageMakerStudios (with GPU) or go in your local environment folder
2. Clone the repo from a notebook directly:

   !git clone https://github.com/Ashoka74/EQ_Forecast.git
   

3. Install required packages

   !pip install -r requirements.txt

4. Run blstm_presentation.ipynb

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Usage

To further understand the Model: Model: https://youtu.be/NBq5jFEnzyY

This video will guide you through the code: Code: https://youtu.be/I_iIZmXBTDk

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License

Distributed under the GNU License. See LICENSE.txt for more information.

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Contact

Sinan Robillard - sinanrobillard@gmail.com

Project Link: https://github.com/Ashoka74/EQ_Forecast.git

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The Team

• Sinan Robillard
• Marco Fernandez
• Ojavsi Gupta

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