A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning. (arXiv:2204.00951v2 [cs.CV] UPDATED)

In this work we introduce Sen4AgriNet, 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. These declarations have only recently been
made available as open data, allowing for the first time the labeling of
satellite imagery from ground truth data. We proceed to propose and standardise
a new crop type …

arxiv benchmark classification country cv dataset deep learning learning segmentation sentinel