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Open Data 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...Organization:Agriculture and Agri-Food CanadaResource Formats:- GeoPackage
- FGDB/GDB
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Open Data Soil Landscapes of Canada Version 2.2
The “Soil Landscapes of Canada (SLC) Version 2.2” dataset series provides a set of geo-referenced soil areas (polygons) that are linked to attribute data found in the associated Component Table (CMP), Landscape Table (LAT), Carbon Layer Table (CLYR), and Dom/Sub File (DOM_SUB). Together, these...Organization:Agriculture and Agri-Food CanadaResource Formats:- FGDB/GDB
- GEOJSON
- CSV
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Open Data Nova Scotia Detailed Soil Survey
The Nova Scotia Detailed Soil Survey dataset series at a scale of 1:50 000 consists of geo-referenced soil polygons with linkages to attribute data found in the associated Component File (CMP), Soil Names File (SNF) and Soil Layer File (SLF). Together, these Version 1 datasets describe the...Organization:Agriculture and Agri-Food CanadaResource Formats:- FGDB/GDB
- GEOJSON
- CSV
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Open Data Detailed Soil Survey
A soil survey is an inventory of soils and their spatial distribution over a landscape. Soil survey reports contain two parts. The first part is a soil map or series of maps at a particular scale with coding for each soil. Soil survey reports also include a supporting document that contains...Organization:Agriculture and Agri-Food CanadaResource Formats:- FGDB/GDB
- GEOJSON
- CSV
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Open Data Prince Edward Island Detailed Soil Survey
The Prince Edward Island Detailed Soil Survey is a dataset series describing the spatial distribution of soils and associated landscapes in the Canadian province of Prince Edward Island. Soil landscape information compiled and published over the previous several decades provided the basis for the...Organization:Agriculture and Agri-Food CanadaResource Formats:- FGDB/GDB
- GEOJSON
- CSV
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Open Data Agricultural Major Land Practices Groups of the Canadian Prairies
The “Agricultural Major Land Practices Groups of the Canadian Prairies” dataset lays out the areas of the 5 Major Land Practices Groups of the agricultural portions of the Canadian Prairies. They are represented by vector polygons amalgamated (dissolved) from the Version 1.9 SLC polygons sharing...Organization:Agriculture and Agri-Food CanadaResource Formats:- FGDB/GDB
- GEOJSON
- ESRI REST
- WMS
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Open Data Quantitative Crop Rotation Characteristics of Canada
The Agriculture and Agri-Food Canada (AAFC) Annual Crop Inventory (ACI) is produced at a national scale, covering Canada’s entire agricultural extent. It has been generated operationally since 2011 for the entire country (2009 for the Prairie Provinces). This product is spatially continuous and...Organization:Agriculture and Agri-Food CanadaResource Formats:- GeoTIF
- FGDB/GDB
- GEOJSON
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Open Data Agricultural Land Practices Groups of the Canadian Prairies
The “Agricultural Land Practices Groups of the Canadian Prairies” dataset lays out the areas of the 13 Land Practices Groups of the agricultural portions of the Canadian Prairies. They are represented by vector polygons amalgamated (dissolved) from the Version 1.9 SLC polygons sharing common...Organization:Agriculture and Agri-Food CanadaResource Formats:- FGDB/GDB
- GEOJSON
- ESRI REST
- WMS
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Open Data Canadian Crop Yields
This data series was compiled by AAFC and Statistics Canada using a combination of agroclimate data and satellite-derived Normalized Difference Vegetation Index (NDVI) data for the current growing season. The forecast is made based on a statistical model using historical yield, climate and NDVI...Organization:Agriculture and Agri-Food CanadaResource Formats:- CSV
- GEOJSON
- FGDB/GDB
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Open Data Forecast Yield of Major Crops
This data series was compiled by AAFC and Statistics Canada using a combination of agroclimate data and satellite-derived Normalized Difference Vegetation Index (NDVI) data for the current growing season. The forecast is made based on a statistical model using historical yield, climate and NDVI...Organization:Agriculture and Agri-Food CanadaResource Formats:- CSV
- GEOJSON
- FGDB/GDB