Code for in-season crop type classification with growth stage normalization method proposed in: Kerner, H., Sahajpal, R., Skakun, S., Becker-Reshef, I., Barker, B., Hosseini, M., Puricelli, E., and Gray, P. (2020). Resilient In-Season Crop Type Classification in Multispectral Satellite Observations using Growth Stage Normalization. In ACM SIGKDD Conference on Data Mining and Knowledge Discovery (KDD) Workshops.
The code for building and training the models in the paper can be found in the lstm_cnn Jupyter notebook. You can download the data required to execute this notebook at https://doi.org/10.5281/zenodo.3997350.