SISPPEO: Satellite Imagery & Signal Processing Package for Earth Observation

Content

1. What is SISPPEO ?
2. Requirements
3. Installation
4. Dependencies

What is SISPPEO ?

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)

Requirements

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.

Installation

SISPPEO can be downloaded and installed using conda-forge:

$ conda install sisppeo -c conda-forge

You 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 sisppeo

Then, 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>