[Incubator] TorchGeo interested in joining OSGeo

[Jody Garnett]

 Hello Adam,

Thanks for contacting the incubation committee it is good to hear from you,
I really appreciate how organized you have been in your application. You
appear very well informed on our requirements (which is much appreciated).

Looking at our first checklist to be added to the website:


   1. Done: Be Geospatial:
   https://github.com/microsoft/torchgeo/blob/main/README.md
   2. Done: Have a free license or open source license:
   https://github.com/microsoft/torchgeo/blob/main/LICENSE (MIT)
   3. Done: Welcome participation and new contributors.
   https://torchgeo.readthedocs.io/en/stable/user/contributing.html
   1. You may still wish to add a CONTRIBUTING.md linking to this page; as
      GitHub will show the contents of this file to potential contributors.


With that in mind can I ask you to setup an OSGeo UserID
<https://id.osgeo.org/ldap/create> (if you have not done so already) and
login to the website creating a members profile
<https://www.osgeo.org/community/members/>. Reply to this message with your
userID and I can give you permission to make a project page.

While we wait we can look at the second checklist:


   1. Be gospatial
      1. Done: README
      2. Pending: Project page on osgeo website
      3. Done: User documentation:
      https://torchgeo.readthedocs.io/en/stable/tutorials/getting_started.html
         1. The user docs heading covered installation and contributing
         (not so much use, the tutorials are more what we are looking
for - showing
         how a normal GIS Professional (or GIS Developer in this case)
can use your
         project
      2. Have a free license or an open source license.
   1. Done: License
      2. Pending: We ask that the project team check the file headers and
      double check the license has been appropriately applied
         1. You may feel comfortable making this statement already?
         Although I did not see any files with out a header, it is
more about asking
         you to check and confirm on behalf of your team
         2. I note your use of a CLA and a contirbution bot - cool 🙂
      3. Welcome participation and new contributors.
   1. Done: Clean contribution policy
      2. Done: I can see a large number of closed pull requests, and
      collaborators page shows a number of actors
      3. Done: Code of conduct:
      https://github.com/microsoft/torchgeo/blob/main/CODE_OF_CONDUCT.md


As a volunteer run committee we are struggling with a lack of engagement
(especially difficult over the seasonal holidays).  Thank you for making
this as easy as possible thus far.
--
Jody Garnett


On Dec 1, 2023 at 3:52:12 AM, Adam Stewart via Incubator <
incubator at lists.osgeo.org> wrote:

> Hello,
>
> My name is Adam Stewart. I'm a geospatial ML researcher
> <https://scholar.google.com/citations?user=IQ19q4AAAAAJ> and passionate open-source
> developer <https://github.com/adamjstewart>. I earned my B.S. in Science
> of Earth Systems at Cornell and my Ph.D. in Computer Science at UIUC, and
> currently work as a postdoc at TUM with a focus on machine learning for
> Earth observation. I created TorchGeo
> <https://github.com/microsoft/torchgeo>, and also help maintain the R-tree
> <https://github.com/Toblerity/rtree> library and Spack
> <https://github.com/spack/spack> package manager. I've contributed to
> most geospatial libraries, including GDAL
> <https://github.com/OSGeo/gdal/issues?q=author:adamjstewart>, rasterio
> <https://github.com/rasterio/rasterio/issues?q=author:adamjstewart>, and
> R-tree <https://github.com/Toblerity/rtree/issues?q=author:adamjstewart>,
> and maintain all geospatial build recipes in the Spack package manager.
>
> I'm reaching out to you today to express interest in having TorchGeo
> <https://github.com/microsoft/torchgeo> join the OSGeo Foundation.
> TorchGeo is a PyTorch domain library for machine learning with geospatial
> data, especially remote sensing data. TorchGeo started as an internship
> project at the Microsoft AI for Good Research Lab and developed into my
> thesis dissertation with an active community of contributors from around
> the world. It builds on top of GDAL (via rasterio and fiona) and PyTorch to
> make it easy to work with any kind of geospatial data in a machine learning
> workflow. Data can be automatically reprojected and resampled to a common
> CRS and resolution, making it easy for machine learning researchers without
> geospatial skills to work with satellite imagery.
>
> Some statistics:
>
>
>    - Stars: 2K
>    - Forks: 240
>    - Contributors: 55
>    - Maintainers: 5 with merge privileges (CC'ed)
>    - PyPI downloads:
>       - Last week: 4.4K
>       - Last month: 22K
>       - All time: 150K
>    - GitHub topics (ranked by number of stars):
>       - Earth observation: #4
>       - Satellite imagery: #4
>       - Remote sensing: #7
>       - Geospatial: #21
>
>
> I believe we already meet most of the criteria for the highest level of
> membership in OSGeo:
>
>
>    - Geospatial: yes
>    - License: MIT
>    <https://github.com/microsoft/torchgeo/blob/main/LICENSE>, including
>    file headers
>    - Contributions: 55 contributors and counting, contribution guide
>    <https://torchgeo.readthedocs.io/en/stable/user/contributing.html>
>    - Code of conduct: yes
>    <https://github.com/microsoft/torchgeo/blob/main/CODE_OF_CONDUCT.md>
>    - Community: active Slack workspace
>    <https://join.slack.com/t/torchgeo/shared_invite/zt-22rse667m-eqtCeNW0yI000Tl4B~2PIw>
>    - Users and contributors from both industry (Microsoft, Intel, Meta,
>    IBM, Amazon) and academia (TUM, EPFL, ETH Zurich, Cambridge, Oxford,
>    Stanford, Berkeley, CMU, MIT, U Washington)
>    - GitHub: issue tracker <https://github.com/microsoft/torchgeo/issues>
>    - Documentation: readthedocs
>    <https://torchgeo.readthedocs.io/en/stable/>
>    - Release procedure: wiki
>    <https://github.com/microsoft/torchgeo/wiki/Releasing-Instructions>
>    - CI: GitHub Actions
>    <https://github.com/microsoft/torchgeo/tree/main/.github/workflows>
>     with 100% test coverage <https://codecov.io/gh/microsoft/torchgeo>
>
>
> We already have 10 stable releases and it's easy to install TorchGeo using
> pip, conda, or spack.
>
> We think membership in the OSGeo Foundation would be beneficial to us in a
> number of ways. OSGeo represents the gold standard of open source software
> development in the geospatial community, and we would love your expertise
> to suggest ways we can grow our community of contributors. We would love to
> have tighter integration with other OSGeo projects like GDAL, working
> together to improve data loading performance. OSGeo provides a great
> opportunity to advertise our project on your website (and your foundation
> on our GitHub). We also have aspirations to present TorchGeo tutorials at
> as many remote sensing and machine learning conferences as possible, and
> could use funding to support travel for presenters.
>
> Please let us know if TorchGeo fits your requirements for joining the
> OSGeo Foundation and how we can join. We would be interested in the highest
> level of membership possible, but are also happy to start off as a member
> of the OSGeo community and work our way up to OSGeo project or incubation.
>
> *Dr. Adam J. Stewart*
> Technical University of Munich
> School of Engineering and Design
> Data Science in Earth Observation
> _______________________________________________
> Incubator mailing list
> Incubator at lists.osgeo.org
> https://lists.osgeo.org/mailman/listinfo/incubator
>
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