Search Results for author:
Found 4 papers, 0 papers with code
Boosting Crop Classification by Hierarchically Fusing Satellite, Rotational, and Contextual Data
To evaluate our approach, we release a new annotated dataset of 7. 4 million agricultural parcels in France and Netherlands.
Skyline variations allow estimating distance to trees on landscape photos using semantic segmentation
A methodology based on the variations of the skyline has been developed and used to investigate potential relationships with the distance to skyline objects.
Monitoring crop phenology with street-level imagery using computer vision
This best model was applied on an independent inference set discriminating crop type with a Macro F1 score of 88. 1% and main phenological stage at 86. 9% at the parcel level.
From parcel to continental scale -- A first European crop type map based on Sentinel-1 and LUCAS Copernicus in-situ observations
Finally, the crop areas derived by classification are compared to the subnational (NUTS 2) area statistics reported by Eurostat.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
