Agriculture and Agri-Food Canada

25 datasets found
  • Open Data

    Annual Unit Runoff (dam3/km2) for a 80% Probability of Exceedence

    The “Annual Unit Runoff (dam3/km2) for a 80% Probability of Exceedence” dataset is a line data set that covers the extent of Canada. It shows the 80% Probability of exceedence annual unit runoff.
    Organization:
    Agriculture and Agri-Food Canada
    Resource Formats:
    • PDF
    • FGDB/GDB
    • GEOJSON
    • ESRI REST
    • WMS
  • Open Data

    Annual Unit Runoff (dam3/km2) for a 90% Probability of Exceedence

    The “Annual Unit Runoff (dam3/km2) for a 90% Probability of Exceedence” dataset is a line data set that covers the extent of Canada. It shows the 90% Probability of exceedence annual unit runoff.
    Organization:
    Agriculture and Agri-Food Canada
    Resource Formats:
    • PDF
    • FGDB/GDB
    • GEOJSON
    • ESRI REST
    • WMS
  • Open Data

    Annual Unit Runoff (dam3/km2) for a 25% Probability of Exceedence

    The “Annual Unit Runoff (dam3/km2) for a 25% Probability of Exceedence” dataset is a line data set that covers the extent of Canada. It shows the 25% Probability of exceedence annual unit runoff.
    Organization:
    Agriculture and Agri-Food Canada
    Resource Formats:
    • PDF
    • FGDB/GDB
    • GEOJSON
    • ESRI REST
    • WMS
  • Open Data

    Percent Saturated Surface Soil Moisture

    This data series represents the volumetric soil moisture (percent saturated soil) for the surface layer (<5 cm). The data is created daily and is averaged for the ISO standard week and month. The data is produced from passive microwave satellite data collected by the Soil Moisture and Ocean...
    Organization:
    Agriculture and Agri-Food Canada
    Resource Formats:
    • PDF
    • ESRI REST
    • GeoTIF
    • HTML
    • WMS
  • Open Data

    Stations used for Unit Runoff Analysis

    The “Stations used for Unit Runoff Analysis” dataset is a point data set for select hydrological stations that covers the extent of Canada.
    Organization:
    Agriculture and Agri-Food Canada
    Resource Formats:
    • PDF
    • FGDB/GDB
    • GEOJSON
    • ESRI REST