Agri-Hub / 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
40Updated 5 months ago

Related projects

Alternatives and complementary repositories for Deep-Learning-for-Cloud-Gap-Filling-on-Normalized-Difference-Vegetation-Index