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39 datasets found
  • 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

    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

    High Resolution Digital Elevation Model Mosaic (HRDEM Mosaic) - CanElevation ...

    The High Resolution Digital Elevation Model Mosaic provides a unique and continuous representation of the high resolution elevation data available across the country. The High Resolution Digital Elevation Model (HRDEM) product used is derived from airborne LiDAR data (mainly in the south) and...
    Organization:
    Natural Resources Canada
    Resource Formats:
    • WMS
    • WCS
    • FGDB/GDB
    • HTML
    • PDF
  • Open Data

    Annual Crop Inventory 2010

    In 2010 the Earth Observation Team of the Science and Technology Branch (STB) at Agriculture and Agri-Food Canada (AAFC) continued 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 2011

    In 2011, the Earth Observation Team of the Science and Technology Branch (STB) at Agriculture and Agri-Food Canada (AAFC) expanded the process of generating annual crop inventory digital maps using satellite imagery to include British Columbia, Ontario, Quebec, and the Maritime provinces, in...
    Organization:
    Agriculture and Agri-Food Canada
    Resource Formats:
    • GeoTIF
    • WMS
    • PDF
    • CSV
    • HTML
    • ESRI REST
  • Open Data

    Annual Crop Inventory 2013

    In 2013, the Earth Observation Team of the Science and Technology Branch (STB) at Agriculture and Agri-Food Canada (AAFC) repeated the process of generating annual crop inventory digital maps using satellite imagery to for all of Canada, in support of a national crop inventory. A Decision Tree...
    Organization:
    Agriculture and Agri-Food Canada
    Resource Formats:
    • WMS
    • GeoTIF
    • PDF
    • CSV
    • HTML
    • ESRI REST
  • Open Data

    Annual Crop Inventory 2012

    In 2012, the Earth Observation Team of the Science and Technology Branch (STB) at Agriculture and Agri-Food Canada (AAFC) repeated the process of generating annual crop inventory digital maps using satellite imagery to for all of Canada (except Newfoundland), in support of a national crop...
    Organization:
    Agriculture and Agri-Food Canada
    Resource Formats:
    • GeoTIF
    • WMS
    • PDF
    • CSV
    • HTML
    • ESRI REST
  • Open Data

    Flood Susceptibility Index (FSI)

    This national map of flood susceptibility or flood prone areas is based on patterns of historic flood events as predicted by an ensemble machine learning model. The recommended use is national, provincial or regional scale and can be used as a guide for identifying areas for further...
    Organization:
    Natural Resources Canada
    Resource Formats:
    • PDF
    • WCS
    • TIFF
    • WMS
    • HTML
  • Open Data

    Topographic Data of Canada - CanVec Series

    CanVec contains more than 60 topographic features classes organized into 8 themes: Transport Features, Administrative Features, Hydro Features, Land Features, Manmade Features, Elevation Features, Resource Management Features and Toponymic Features. This multiscale product originates from the...
    Organization:
    Natural Resources Canada
    Resource Formats:
    • PDF
    • HTML
    • WMS
    • FGDB/GDB
    • SHP
    • KMZ
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