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Installation instructions for ARIA-tools are outlined here: https://github.com/aria-tools/ARIA-tools#installation. The requirements.txt and environment.yml files contain the full list of requirements and dependencies, but here are the requirements as laid out on the README page of the git:
Packages:
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Python >= 3.5 (3.6 preferred)
[PROJ 4](https://github.com/OSGeo/proj) github >= 6.0
[GDAL](https://www.dgal.org/) and its Python bindings >=3.0 |
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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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