This is the code for the IEEE TGRS published version of the paper titled: "SSL-SoilNet: A Hybrid Transformer-based Framework with Self-Supervised Learning for Large-scale Soil Organic Carbon Prediction"
Version 2.0.1 changes:
- Added .py files with command line options and flags for easy use of the model.
- Removed Notebook files; you still can access them in Release 2.0.0
Version 2.0.0 changes:
- Added self-supervised contrastive learning for multimodal data
- Added a second dataset analysis titled 'RaCA.'
- More ML models were added for comparison.