Sen4AgriNet (A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning)
Introduced by Sykas et al. in A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning
A Sentinel-2 based time series multi country benchmark dataset, tailored for agricultural monitoring applications with Machine and Deep Learning. Sen4AgriNet dataset is annotated from farmer declarations collected via the Land Parcel Identification System (LPIS) for harmonizing country wide labels. Sen4AgriNet is the only multi-country, multi-year dataset that includes all spectral information. It is constructed to cover the period 2016-2020 for Catalonia and France, while it can be extended to include additional countries. Currently, it contains 42.5 million parcels, which makes it significantly larger than other available archives.
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