SISPPEO is an open source project and Python package (with a CLI) allowing one to extract synthetic information
useful for Earth observation (Water and Land) from satellite optical imagery (e.g, Sentinel-2/MSI, Sentinel-3/OLCI,
Landsat 8/OLI…).
- Documentation: https://inrae.github.io/SISPPEO
- Source code: https://github.com/inrae/SISPPEO
Author: Arthur Coqué (arthur.coque@inrae.fr)
Contributors: Guillaume Morin (guillaume.p.morin@inrae.fr), Nathalie Reynaud (nathalie.reynaud@inrae.fr), Thierry Tormos (thierry.tormos@ofb.gouv.fr), Valentine Aubard (valentine.aubard@inrae.fr)
You will need Python 3.8 to run SISPPEO. You can have multiple Python versions (2.x and 3.x)
installed on the same system without any problems.
SISPPEO can be downloaded and installed using conda-forge:
$ conda install sisppeo -c conda-forgeYou can also install it from source. To do so, you will first have to clone the GitHub repository:
$ git clone https://github.com/inrae/SISPPEO.git
$ cd sisppeoThen, you will need to create a virtual environment (optional, but strongly advised) and install SISPPEO.
- using conda (recommended):
$ conda env create -f conda/environment.yml
$ pip install .- using virtualenv and pip:
$ python3 -m venv venv
$ source venv/bin/activate
$ pip install -U .Finally, you can use SISPPEO as a Python package (it's kind of like a toolbox) or through its CLI:
$ sippeo <your_cmd>
