Agriculture and Agri-Food Canada

26 datasets found
  • 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 Canada
    Resource Formats:
    • FGDB/GDB
    • GEOJSON
    • CSV
    • PDF
  • 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 Canada
    Resource Formats:
    • FGDB/GDB
    • GEOJSON
    • CSV
    • PDF
  • 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 Canada
    Resource Formats:
    • FGDB/GDB
    • GEOJSON
    • CSV
    • PDF
  • 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 Canada
    Resource Formats:
    • FGDB/GDB
    • GEOJSON
    • CSV
    • PDF
  • Open Data

    AAFC Land Use

    The AAFC Land Use Time Series is a culmination and curated meta-analysis of several high-quality spatial datasets produced between 2000 and 2021 using a variety of methods by teams of researchers as techniques and capabilities have evolved. The information from the input datasets was consolidated...
    Organization:
    Agriculture and Agri-Food Canada
    Resource Formats:
    • GeoTIF
    • PDF
    • WMS
    • ESRI REST
  • Open Data

    Annual Crop Inventory Ground Truth Data

    Beginning with the 2011 grow season, the Earth Observation Team of the Science and Technology Branch (STB) at Agriculture and Agri-Food Canada (AAFC) started collecting ground truth data via windshield surveys. This observation data is collected in support of the generation of an annual crop...
    Organization:
    Agriculture and Agri-Food Canada
    Resource Formats:
    • PDF
    • ESRI REST
    • FGDB/GDB
    • SHP
    • GEOJSON
  • Open Data

    2005 AAFC Land Use

    The 2005 AAFC Land Use is a culmination and curated metaanalysis of several high-quality spatial datasets produced between 1990 and 2021 using a variety of methods by teams of researchers as techniques and capabilities have evolved. The information from the input datasets was consolidated and...
    Organization:
    Agriculture and Agri-Food Canada
    Resource Formats:
    • GeoTIF
    • PDF
    • ESRI REST
  • Open Data

    2015 AAFC Land Use

    The 2015 AAFC Land Use is a culmination and curated metaanalysis of several high-quality spatial datasets produced between 1990 and 2021 using a variety of methods by teams of researchers as techniques and capabilities have evolved. The information from the input datasets was consolidated and...
    Organization:
    Agriculture and Agri-Food Canada
    Resource Formats:
    • GeoTIF
    • PDF
    • ESRI REST
  • Open Data

    2010 AAFC Land Use

    The 2010 AAFC Land Use is a culmination and curated metaanalysis of several high-quality spatial datasets produced between 1990 and 2021 using a variety of methods by teams of researchers as techniques and capabilities have evolved. The information from the input datasets was consolidated and...
    Organization:
    Agriculture and Agri-Food Canada
    Resource Formats:
    • GeoTIF
    • PDF
    • ESRI REST
  • Open Data

    2020 AAFC Land Use

    The 2020 AAFC Land Use is a culmination and curated metaanalysis of several high-quality spatial datasets produced between 1990 and 2021 using a variety of methods by teams of researchers as techniques and capabilities have evolved. The information from the input datasets was consolidated and...
    Organization:
    Agriculture and Agri-Food Canada
    Resource Formats:
    • GeoTIF
    • PDF
    • ESRI REST
  • Open Data

    2000 AAFC Land Use

    The 2000 AAFC Land Use is a culmination and curated metaanalysis of several high-quality spatial datasets produced between 1990 and 2021 using a variety of methods by teams of researchers as techniques and capabilities have evolved. The information from the input datasets was consolidated and...
    Organization:
    Agriculture and Agri-Food Canada
    Resource Formats:
    • GeoTIF
    • PDF
    • ESRI REST
  • Open Data

    Mean Weekly n-year Best-Quality Maximum-NDVI (Baselines, Normals)

    Each pixel value corresponds to the mean historical “Best-quality” Max-NDVI value for a given week, as calculated from the previous 20 years in the MODIS historical record (i.e. does not include data from the current year). These data are also often referred to as “weekly baselines” or “weekly...
    Organization:
    Agriculture and Agri-Food Canada
    Resource Formats:
    • PDF
    • GeoTIF
  • Open Data

    Annual Crop Inventory 2009

    In 2009 the Earth Observation Team of the Science and Technology Branch (STB) at Agriculture and Agri-Food Canada (AAFC) began the process of generating annual crop inventory digital maps using satellite imagery. Focusing on the Prairie Provinces, a Decision Tree (DT) based methodology was...
    Organization:
    Agriculture and Agri-Food Canada
    Resource Formats:
    • GeoTIF
    • WMS
    • PDF
    • CSV
    • HTML
    • ESRI REST
  • Open Data

    Annual Crop Inventory

    Understanding the state and trends in agriculture production is essential to combat both short-term and long-term threats to stable and reliable access to food for all, and to ensure a profitable agricultural sector. Starting in 2009, the Earth Observation Team of the Science and Technology...
    Organization:
    Agriculture and Agri-Food Canada
    Resource Formats:
    • GeoTIF
    • ESRI REST
    • WMS
    • PDF
    • CSV
    • HTML
  • 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 Canada
    Resource Formats:
    • GeoTIF
    • FGDB/GDB
    • GEOJSON
    • PDF
  • Open Data

    Weekly Best-Quality Maximum - NDVI Anomalies

    Each pixel value corresponds to the difference (anomaly) between the mean “Best-Quality” Max-NDVI of the week specified (e.g. Week 18, 2000-2014) and the “Best-Quality” Max-NDVI of the same week in a specific year (e.g. Week 18, 2015). Max-NDVI anomalies < 0 indicate where weekly Max-NDVI is...
    Organization:
    Agriculture and Agri-Food Canada
    Resource Formats:
    • PDF
    • GeoTIF
    • WMS
    • HTML
    • ESRI REST
  • Open Data

    Weekly Best-Quality Maximum-NDVI

    Each pixel value corresponds to the best quality maximum NDVI recorded within that pixel over the week specified. Poor quality pixel observations are removed from this product. Observations whose quality is degraded by snow cover, shadow, cloud, aerosols, and/or low sensor zenith angles are...
    Organization:
    Agriculture and Agri-Food Canada
    Resource Formats:
    • PDF
    • GeoTIF
  • Open Data

    Days of the Week Maximum NDVI

    Each pixel value corresponds to the day-of-week (1-7) from which the Weekly Best-Quality NDVI retrieval is obtained (1 = Monday, 7 = Sunday).
    Organization:
    Agriculture and Agri-Food Canada
    Resource Formats:
    • PDF
    • GeoTIF
  • Open Data

    Count of Mean Weekly Best-Quality Maximum-NDVI

    Each pixel value corresponds to the actual number (count) of valid Best-quality Max-NDVI values used to calculate the mean weekly values for that pixel. Since 2020, the maximum number of possible observations used to create the Mean Best-Quality Max-NDVI for the 2000-2014 period is n=20. However,...
    Organization:
    Agriculture and Agri-Food Canada
    Resource Formats:
    • PDF
    • GeoTIF