Mor Braz – Data Processing

This project provides a Jupyter Notebook to process data from the Mor Braz acquisition campaign. The boat is equipped with a thermosalinograph and a GPS tracker.

Overview

The notebook allows you to merge and interpolate data from the onboard instruments, then export the results to the output folder.

Requirements

• Python 3.7 or higher
• virtualenv
• Jupyter Notebook

Installation

1. Clone the repository:

   git clone git@github.com:astrolabe-expeditions/MorBraz.git
   cd MorBraz

2. Create a Python virtual environment:

If virtualenv is not installed, follow the documentation.

python -m venv venv

1. Launch Virtual Environnement:

   For Windows with Powershell

   .\venv\Scripts\Activate.ps1

   Or for Unix based system (Linux, macOS)

   source venv/bin/activate

2. Install dependencies:

   pip install -r requirements.txt
   pip install notebook

Usage

1. Launch Virtual Environnement:

   For Windows with Powershell

   .\venv\Scripts\Activate.ps1

   Or for Unix based system (Linux, macOS)

   source venv/bin/activate

2. Start Jupyter Notebook:

   jupyter notebook

3. Open the notebook file:

   • In your browser, open interpolate_data_with_track.ipynb.

4. Place your data files in the input folder.

5. Update the variables in the notebook to match your file names.

6. Run the notebook cell by cell.

7. Check the exported result in the output folder.

8. Save the generated file wherever you need.

Folder Structure

• input/: raw data files (CSV, GPX, etc.)
• output/: exported results after processing
• interpolate_data_with_track.ipynb: main notebook
• requirements.txt: Python dependencies