Artificial Intelligence for Geospatial Analysis with Pytorch's TorchGeo (Part 1)

According to its documentation, TorchGeo is a "PyTorch domain library providing datasets, samplers, transforms, and pre-trained models specific to geospatial data". Make it easier for practitioners to use Deep Learning models on geospatial data. And why is that a good deal? In a last years' presentation from Dan Morris (former principal scientist at Microsoft's AI for Earth program) to the IEEE-GRSS (Geoscience and Remote Sensing Society), he highlighted some challenges related to geospatial analysis (link to the presentation is here): On the top of that, people working with Artificial Intelligence for geospatial analysis haver an extra layer of complexity, because most frameworks are developed for RGB pictures and don't take into account the specificities of geospatial data: So, at the present, it is really challenging for someone to apply deep learning models to geospatial tasks without having knowledge on these diverse subjects. In this context, the TorchGeo library has been launched on November 2021 to address some of these challenges.