This repository contains all configuration files, experiments, and plotting scripts to reproduce the following papers:
Note
This repository previously existed in the TorchGeo repo and was extracted out.
Our ACM TSAS publication, containing extended API design and additional experiments.
@article{stewart2024torchgeo,
author = {Stewart, Adam J. and Robinson, Caleb and Corley, Isaac A. and Ortiz, Anthony and Lavista Ferres, Juan M. and Banerjee, Arindam},
title = {{TorchGeo}: Deep Learning With Geospatial Data},
journal = {ACM Transactions on Spatial Algorithms and Systems},
volume = {11},
number = {4},
pages = {1--28},
month = aug,
year = {2025}
}Our ACM SIGSPATIAL publication, containing the first set of benchmarks for early TorchGeo releases.
@inproceedings{stewart2022torchgeo,
author = {Stewart, Adam J. and Robinson, Caleb and Corley, Isaac A. and Ortiz, Anthony and Lavista Ferres, Juan M. and Banerjee, Arindam},
title = {{TorchGeo}: Deep Learning with Geospatial Data},
booktitle = {Proceedings of the 30th International Conference on Advances in Geographic Information Systems},
number = {19},
series = {SIGSPATIAL '22},
pages = {1--12},
publisher = {Association for Computing Machinery},
month = nov,
year = {2022},
}