Deep Learning For Cloud Gap Filling On Normalized Difference Vegetation Index

A CNN-RNN based model that identifies correlations between optical and SAR data and exports dense Normalized Difference Vegetation Index (NDVI) time-series of a static 6-day time resolution and can be used for Events Detection tasks