# Geospatial deep learning with TorchGeo

**URL:** <https://openplanetary.discourse.group/t/geospatial-deep-learning-with-torchgeo/618>\
**Category:** Machine Learning for Planetary Sciences\
**Created:** [April 6, 2023, 7:45pm UTC](https://openplanetary.discourse.group/t/geospatial-deep-learning-with-torchgeo/618 "2023-04-06T19:45:20Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![cmarmo](https://yyz2.discourse-cdn.com/free1/user_avatar/openplanetary.discourse.group/cmarmo/32/271_2.png) [@cmarmo](https://openplanetary.discourse.group/u/cmarmo)\
**Post date:** [April 6, 2023, 7:45pm UTC](https://openplanetary.discourse.group/t/geospatial-deep-learning-with-torchgeo/618/1 "2023-04-06T19:45:20Z")

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> **[Geospatial deep learning with TorchGeo](https://pytorch.org/blog/geospatial-deep-learning-with-torchgeo/)**
>
> TorchGeo is a PyTorch domain library providing datasets, samplers, transforms, and pre-trained models specific to geospatial data.

TorchGeo is designed to make it simple:

- for machine learning experts to work with geospatial data, and
- for remote sensing experts to explore machine learning solutions.

Worth a try with planetary data?