A spatiotemporal dataset for NDVI prediction on Sentinel-2 imagery

The dataset was designed for prediction of vegetation health on Sentinel-2 imagery and utilized in the AI4Copernicus service: "Long Short-Term Memory Neural Network for NDVI prediction" in which an LSTM neural network was trained in order to create an AI model for NDVI (Normalized Difference Vegetation Index) prediction with time-horizon of one month. 

The dataset needs to be enriched with more data in time dimension but currently it can be used for initial experimentation with an LSTM neural network for NDVI prediction.