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10 datasets found
  • 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 Canada
    Resource Formats:
    • GPKG
    • FGDB/GDB
  • 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 sub-pixel Landsat surface water maps of the Hudson Bay Lowlands from 1985-2021

    The Hudson Bay Lowlands (HBL) is the wettest ecozone in Canada with 80% of its area covered by wetlands. It forms the third largest wetland in the world and is composed almost entirely of permafrost and non-frozen subarctic peatlands that store more carbon in the first 2 m of soil than the total...
    Organization:
    Environment and Climate Change Canada
    Resource Formats:
    • TIFF
  • 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

    Orthoimages of Canada, 2005-2010

    This collection is a legacy product that is no longer supported. It may not meet current government standards. Canada's Orthoimages 2005-2010 is the national medium-resolution imagery coverage of Canada. These digital raster data acquired by the Spot4 and Spot5 satellites comprise five...
    Organization:
    Natural Resources Canada
    Resource Formats:
    • GeoTIF
    • SHP
    • PDF
    • KMZ
  • Open Data

    Orthoimages of Canada, 1999-2003

    This collection is a legacy product that is no longer supported. It may not meet current government standards. This inventory presents chronologically the satellite images acquired, orthorectified and published over time by Natural Resources Canada. It is composed of imagery from the Landsat7...
    Organization:
    Natural Resources Canada
    Resource Formats:
    • GeoTIF
    • PDF
    • SHP
    • KMZ
    • WMS
    • GML
  • Open Data

    Land cover mapping of lake Brome using Landsat-ETM and RADARSAT-1 imagery, 2007

    Land use classification on the basis of multidate Landsat-ETM and Radarsat-1 images. Classification is based on the segmentation of images into objects using Definiens Earth software (formerly eCognition©). Object-oriented classification combines fuzzy logic, based on spectral, spatial and...
    Organization:
    Environment and Climate Change Canada
    Resource Formats:
    • PDF
    • SHP
    • HTML
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