Wheat yield estimation at field level over France using Sentinel 2, Landsat-8, and meteorological time series
Pierre Defourny
The systematic acquisition of high-resolution observations over the years by the Sentinel-2 and Landsat-8 missions, combined with machine learning, offers new opportunities to improve agricultural yield estimation modeling at the field level. Such models require a large amount of reference data for appropriate calibration without overfitting and an independent validation. This research leverages a unique field- and farm-level winter wheat yield dataset collected from farmers’ surveys conducted f