[OSGeo-Announce] TorchGeo ML Framework Release v0.6

[Jorge Sanz]

TorchGeo  --  an OSGeo Project in Incubation

is pleased to announce today a minor release publicly available. **

https://www.osgeo.org/projects/torchgeo/


This 0.6 version adds 18 new datasets, 15 new datamodules, and 27 new 
pre-trained models, encompassing 11 months of work by 23 contributors.

TorchGeo mission is still to make it simple:
  * for machine learning experts to work with geospatial data, and
  * for remote sensing experts to explore machine learning solutions.

A total of 119 projects have direct public dependencies on torchgeo 
(GitHub tracks this). Some notable ones:
- Natural Resources Canada -- https://github.com/NRCan/geo-inference 
(Canadian govt. project)
- National statistical institute of Norway -- 
https://github.com/statisticsnorway/ssb-sgis
- IBM - several projects
  - https://github.com/IBM/SAR2NDVI
  - https://github.com/IBM/remote-sensing-image-retrieval
  - https://github.com/IBM/terratorch (a library for fine-tuning EO 
foundation models)
- David Rolnick's lab -- https://github.com/RolnickLab/FoMo-Bench 
(forest monitoring)
- Lebanese National Center for Remote Sensing - CNRS -- 
https://github.com/geoaigroup/geotils
- CyberGIS center -- https://github.com/cybergis/docker-images (they 
install torchgeo on the docker images they use)
- University of St. Gallen -- https://github.com/HSG-AIML/GDA (research 
paper)

There are also indirect / not-public dependencies, e.g. CalOES used 
torchgeo.

At least three university classes (Hannah, Esther, Adam) now use 
torchgeo in homework assignments to teach GeoML, reproducibility, and 
python.

Other usage stats:
  255,688 total downloads on pypi (pip install ...), 9,854 last month
  21,192 total downloads through conda
  72 code contributors
  There are 200 people on the public Slack channel
  972 unique users visited the GitHub repo past two weeks

** https://github.com/microsoft/torchgeo/releases/tag/v0.6.0