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

Documentation

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

Contributing

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

Installation

The easiest way to install Nansat on a Linux machine is to use anaconda

# download the latest version of miniconda
wget http://repo.continuum.io/miniconda/Miniconda-latest-Linux-x86_64.sh -O miniconda.sh

# make it executable
chmod +x miniconda.sh

# install miniconda virtual environment
./miniconda.sh -b -f -p $HOME/miniconda

# activate the miniconda environment
export PATH=$HOME/miniconda/bin/:$PATH

# update miniconda packages and metadata
conda update -q --yes conda

# install all requirements from conda-forge channel
conda install -q --yes -c conda-forge gdal numpy pillow netcdf4 cfunits python-dateutil pythesint nose

# finally install Nansat
pip install https://github.com/nansencenter/nansat/archive/master.tar.gz

# 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

Fore more information see Install-Nansat section or use pre-configure virtual machines as explained on Nansat-lectures

Usage

# 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

# view file footpring
n.write_map('stere.footpring.png')

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

Fore more information see Tutorial or notebooks for Nansat lectures

License

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

Acknowledgments

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