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[SciPy](https://scipy.org/) [netcdf4](http://unidata.github.io/netcdf4-python/netCDF4/index.html) [requests](https://2.python-requests.org/en/master/) |
Python Jupyter dependencies
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py3X-jupyter
py3X-jupyter_client
py3X-jupyet_contrib_nbextensions
py3X-jupyter_nbextensions_configurator
py3X-hide_code
py3X-RISE |
Additionally, you need to download the ARIA-tools documentation repository:
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https://github.com/aria-tools/ARIA-tools-docs.git |
Optional: GDAL Virtual File Systems can also be included to support S3 virtual data access, to avoid having to download large amounts of data during processing. More info on this is available on the ARIA-tools github: https://github.com/aria-tools/ARIA-tools#aria-tools-with-support-for-s3-virtual-data-access
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[GDAL](https://www.gdal.org/) and its Python bindings >= 3.0
Linux kernel >= 4.3
libnetcdf >= 4.5 |
You need to also have a file containing your earthdata credential:
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echo "machine urs.earthdata.nasa.gov login myUsername password myPassword" > ~/.netrc
chmod 600 ~/.netrc |
If you utilize GDAL, set the following environmental variables:
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export GDAL_HTTP_COOKIEFILE=/tmp/cookies.txt
export GDAL_HTTP_COOKIEJAR=/tmp/cookies.txt
export VSI_CACHE=YES |
Dependencies and/or requirements for MintPy:
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