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SenCYF: Sentinel-2-based estimation and forecasting of winter wheat crop yield at field scale, with national coverage

UNIVERSITY OF CATHOLIQUE DE LOUVAIN (BE)

Summary

The SenCYF project proposes an innovative crop yield forecasting model based on Sentinel-2 data, validated with a France-wide in situ yield data set. It aims at addressing two core scientific questions: What are the performances of a nation-wide S2-based winter wheat yield estimation model at farm level? What are the performances of a nation-wide S2-based winter wheat yield-forecasting model at farm level one month before harvest?


Information

Domain
Science
Prime contractor
UNIVERSITY OF CATHOLIQUE DE LOUVAIN (BE)