Installation¶

Instructions¶

SISPPEO itself is a pure Python package, but its dependencies are not. The easiest way to get everything installed properly is to use conda.

You will first have to clone the GitLab repository:

$ git clone https://gitlab.irstea.fr/telquel-obs2co/satellite/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 .

If you don’t use conda, be sure you have the required dependencies. Indeed, some packages (like rasterio/GDAL) require extra installation steps and though are excluded.

Required dependencies¶

Python (3.8 or later)
setuptools
numpy
pandas
xarray

For netCDF and IO¶

netCDF4: for reading or writing netCDF files.
rasterio: for reading GeoTiffs and other gridded raster datasets.

For parallel and distributed computing¶

For plotting¶

matplotlib: required for plotting (using xarray.Dataset internal functions)
plotly: required for custom plots from L3 products.

Others¶

affine
click
colorcet
datashader
fiona
lxml
pillow
psutils
pvlib
pyproj
pyyaml
s2cloudless
scikit-image
scikit-learn
scipy
shapely
tqdm

Why SISPPEO ?

Quick overview