A scientist friendly Python toolbox for processing 2D satellite Earth observation data

pip install nansat==1.4.4


Branch Travis CI Code Coverage Zenodo DOI
Master Build Status Master Coverage Status Master DOI
Develop Build Status Develop Coverage Status Develop  

Nansat is a scientist friendly Python toolbox for processing 2D satellite earth observation data.

The main goal of Nansat is to facilitate:

  • easy development and testing of scientific algorithms,
  • easy analysis of geospatial data, and
  • efficient operational processing.

You can find a detailed description of Nansat in our paper published in Journal of Open Research Software in 2016.

... and you can join the mailing list.

We appreciate acknowledgments of Nansat. Please add a reference to the following paper if you use Nansat in scientific publications:

Korosov A.A., Hansen M.W., Dagestad K.-F., Yamakawa A., Vines A., Riechert M., (2016). Nansat: a Scientist-Orientated Python Package for Geospatial Data Processing. Journal of Open Research Software. 4(1), p.e39. DOI: http://doi.org/10.5334/jors.120


You will find complete documentation for Nansat at Read the Docs.


You will find information about contributing to Nansat at Read the Docs.


An easy way to install Nansat requirements on any platform is to use Anaconda (download installer).

# create environment with key requirements
conda create -y -n py3nansat gdal numpy pillow netcdf4 scipy
# activate environment
source activate py3nansat
# install nansat
pip install nansat
# launch python

Another option is to use Docker containers (read about Docker).:

# download image with everything pre-installed and launch ipython
docker run --rm -it -v /path/to/data:/data akorosov/nansat ipython


# download a test file
wget https://github.com/nansencenter/nansat/raw/develop/nansat/tests/data/stere.tif
# import main file opener
from nansat import Nansat

# open a test file
n = Nansat('stere.tif')

# see file content
print n

# create RGB with auto-stretched histogram
n.write_figure('stere_rgb.png', [1,2,3], clim='hist')


Nansat is outfitted with unittests, which you can use to ensure that all functionality works on your platform.

# install testing packages from conda-forge
conda install -c conda-forge nose mock

# run nansat.tests
nosetests nansat

# Run all tests including nansat_integration_tests with coverage
cd <nansat_repository_folder>
nosetests -w . --with-coverage --cover-package=nansat

Nansat works on both Python 2 and Python 3 but automatic testing on TravisCI is done for Python 3.7 only. Fore more information see Read the Docs or notebooks for Nansat lectures


The project is licensed under the GNU general public license version 3.


Development is supported by the Research Council of Norway as a part of NORMAP project (grant no. 195397/V30).