

Even if you correctly georeference images during indexing, if you don't project them to a common CRS, you'll end up with rotated images with nodata values around them, and the images won't be pixel-aligned.

The solution
At the moment, it can be quite challenging to work with both deep learning models and geospatial data without having expertise in both of these very different fields. To address these challenges, we've built TorchGeo, a PyTorch domain library for working with 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.
