Planetary coverage documentation#
The planetary-coverage package is a toolbox to perform surface coverage analysis based on orbital trajectory calculations. Its main intent is to provide an easy way to compute observation opportunities of specific region of interest above the Galilean satellites for the ESA-Juice mission but could be extended in the future to other space mission.
It is actively developed by the Observatoire des Sciences de l’Univers Nantes Atlantique (OSUNA, CNRS-UAR 3281) and the Laboratory of Planetology and Geosciences (LPG, CNRS-UMR 6112) at Nantes University (France), under ESA-Juice and CNES founding support.
If you need to perform pointing simulations for the
You will need to install an optional dependency (
esa-ptr). More details can be found here.
In your Jupyter environment, go to
File > New > Notebook to create a new notebook and in the first cell, type:
%pip install planetary-coverage
Execute the cell with ⇧ Shift + ↵ Enter and you should get the latest version of the
You can check which version was installed, restart the Jupyter kernel and run the following command:
If you want to use the
planetary-coverage directly in your terminal or
in your REPL,
we recommend to encapsulate it in a virtual environment (
to avoid any conflict with your default python environment:
python -m venv venv
If you don’t use a virtual environment, we recommand that you add a
--user flag to the command below.
Then install the package:
pip install planetary-coverage
You need to add
conda-forge to your channels:
conda config --add channels conda-forge
conda config --set channel_priority strict
If you want to isolate the
(base) environment, we can create a dedicated
conda environment like this:
conda create -n planetary-coverage python=3.10
conda activate planetary-coverage
Then install the package:
conda install planetary-coverage
This method is recommend only if you need to install the development version from the source.
You will need to install Poetry (≥
1.4) on your system.
On Linux/macOS/Windows (WSL) you can do:
curl -sSL https://install.python-poetry.org | python3 -
Clone the source from the Gitlab repository:
git clone https://juigitlab.esac.esa.int/python/planetary-coverage.git
and install the package and its development dependencies:
All the dependencies will be installed in an isolated virtual environment. Then, you can either prefix your commands with:
poetry run <my-cmd>
or activate directly the virtual environment:
Changes and updates#
planetary-coverage adheres to semantic versioning,
ie. the version number will have the following pattern:
New releases are available on irregular basis. All the changes are reported in the changelog.
If you want to get the latest version, you need to add a
--upgrade flag to the installation command above.
How to cite this package#
If you use this package for your analyses, please consider using the following citation:
Seignovert et al. 2023, Planetary coverage package (1.1.0), planetary-coverage.org, swh:1:rel:8416d4a23e2d695ce68c35f22aace9281c25dbaa
or can use this BibTeX file.
Issues and feedback#
If you have any issue with this package, we highly recommend to take a look at:
this documentation (the search bar on the left is there for you)
If you did not find a solution there, don’t hesitate to:
send us an email at email@example.com
planetary-coverage is distributed under a open-source
BSD-3 clauses license.
Bug reports and contributions are encouraged and always welcome.