Dataset Description Homepage: www.sen4agrinet.space.noa.gr Repository: github.com/Orion AI Lab/S4A Paper: "A Sentinel 2 multi year, multi country benchmark dataset for crop classification and segmentation with deep learning" (D. Sykas, M. Sdraka, D. Zografakis, I. Papoutsis Dataset Summary Sen4AgriNet is a Sentinel 2 based time series multi country benchmark dataset, tailored for agricultural monitoring applications with Machine and Deep Learning. It 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 labelling of satellite imagery from ground truth data. We proceed to propose and standardise a new crop type taxonomy across Europe that address Common Agriculture Policy (CAP) needs, based on the Food and Agriculture Organization (FAO) Indicative Crop Classification scheme. Sen4AgriNet is the only multi country, multi year dataset that includes all spectral information. The current version covers the period 2019 2020 for Catalonia and France, while it can be extended to include additional countries. L…
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy