visusat 0.4.1

Satellite data visualisation toolkit for EUMETSAT and Copernicus Marine datasets.

🛰️ VisuSat project :

VisuSat is a Python toolkit for visualising, handling and processing satellite and oceanographic data, with dedicated pipelines for :

• EUMETSAT Data Store & Data Tailor
• Copernicus Marine Service (CMEMS)

It provides high-level wrappers around eumdac, copernicusmarine, xarray,
and advanced visualisation utilities using cartopy and matplotlib.

📘 Full documentation: https://visusat.readthedocs.io/en/latest/

🌍 Examples of Visualisations :

🌦️ EUMETSAT Data Store - AMVs (Atmospheric Motion Vectors)

Derived from MTG-FCI Level 2 wind products :

🌊 Copernicus Marine Service

Allows to download and visualize available datasets from Copernicus Marine datastore (https://data.marine.copernicus.eu/products).

Example of the the Sea Level Anomaly (in meter) from an aggregate of all available satellites data into Global Ocean Gridded Level4 product (link) :

🌐 Global Ocean Gridded Sea Level Anomaly (L4)

Product: SEALEVEL_GLO_PHY_L4_NRT_008_046

🌀 Global Ocean Physics (Mercator Ocean)

Hourly Sea Water Potential Temperature —
Product: GLOBAL_ANALYSISFORECAST_PHY_001_024

📽️ Animation from MTG-FCI L1c products

Effective radiance from Visible 0.6µm channel, over Western Europe, between 12UTC and 18UTC the 22/10/2025. Product : FCI L1c High Resolution Image Data - MTG

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🚀 Installation :

VisuSat is available on PyPI:

pip install visusat

For devellopment :

git clone https://github.com/nsasso56-cell/VisuSat
cd VisuSat
pip install -e .

🔧 Upgrade VisuSat

pip install --upgrade visusat

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💡 Quick Start Examples

Here is a minimal example showing how to download and plot a Copernicus Marine dataset:

from visusat import copernicus

request = copernicus.CopernicusRequest(
    dataset_id="cmems_obs-sl_glo_phy-ssh_nrt_allsat-l4-duacs-0.125deg_P1D",
    variables=["sla", "err_sla"],
    minimum_longitude=1,
    maximum_longitude=359,
    minimum_latitude=-70,
    maximum_latitude=80,
    start_datetime="2025-10-22T00:00:00",
    end_datetime="2025-10-22T00:00:00",
    output_filename="duacs_sla.nc",
)

ds = copernicus.load_dataset(request, force=False)

# Plot all fields
copernicus.plot_fields(request, ds)

# Plot surface currents
copernicus.plot_currents(request, ds, vectors = False)

More examples are available in the examples/ folder.

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🛠️ Features

• High-level wrappers for Copernicus Marine API
• Automation of EUMETSAT Data Tailor workflows
• Built-in plotting functions (AMVs, radiances, currents…)
• Utilities for generating animated visualizations of satellite data.
• Dataset registry and metadata helpers
• Strong logging system
• Full Sphinx documentation (ReadTheDocs)

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📁 Project Structure

VisuSat/
├── pyproject.toml
├── README.md
├── src/
│   └── visusat/
│       ├── copernicus.py
│       ├── eumetsat.py
│       ├── utils.py
│       ├── plotting.py
│       └── eumetsat_products_registry.py
├── docs/
│   └── source/
├── examples/
│   ├── demo_copernicus_globmodel.py
│   ├── demo_eumetsat_datatailor.py
│   ├── demo_eumetsat_animation.py
│   └── images/
└── data/
    ├── copernicus/
    └── eumetsat/

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📬 Contact

Author : Nicolas SASSO.

• e-mail : [e-mail]
• LinkedIn : linkedin.com/in/nicolas-sasso-6356ab172

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📄 License

Distributed under the MIT License.