Description

OneSoil employs a proprietary machine learning (ML) model based on state-of-the-art instance segmentation to detect field boundaries. Utilizing raw Sentinel-2 data aggregated according to local vegetation season maps and an additional upscaling module to enhance boundary accuracy, we ensure precise results. OneSoil’s data preprocessing involves the utilization of their cloud detector module and local season mapping.

Resources

Name	Format	Description	Link
Pre-packaged FGDB files	Unknown		https://agriculture.canada.ca/atlas/data_donnees/fieldBoundaries/data_donnees/fgdb/
Pre-packaged GPKG files	Unknown		https://agriculture.canada.ca/atlas/data_donnees/fieldBoundaries/data_donnees/gpkg/
Data Product Specification (English)	PDF		https://agriculture.canada.ca/atlas/data_donnees/fieldBoundaries/supportdocument_documentdesupport/en/ISO_19131_Field_Boundaries_in_Canada_2023.pdf
Data Product Specification (French)	PDF		https://agriculture.canada.ca/atlas/data_donnees/fieldBoundaries/supportdocument_documentdesupport//fr/Limites_des_champs_détectées_automatiquement_au_Canada_2023_-_SPC.pdf

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