Automatically Detected Field Boundaries in Canada, 2023

Automatically Detected Field Boundaries in Canada, 2023 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. 2024-09-12 Agriculture and Agri-Food Canada agri-geomatics-agrog@agr.gc.ca AgricultureEconomics and IndustryForm DescriptorsGovernment and PoliticsNature and EnvironmentFarmlandsBoundariesRemote sensing Pre-packaged GPKG filesGPKG https://www.agr.gc.ca/atlas/data_donnees/fieldBoundaries/data_donnees/gpkg/ Pre-packaged FGDB filesFGDB/GDB https://www.agr.gc.ca/atlas/data_donnees/fieldBoundaries/data_donnees/fgdb/

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.

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Electronic Mail Address: agri-geomatics-agrog@agr.gc.ca

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