20250122
08230500
1.0
FALSE
FGDC
soil_landscape_grids_of_canada_100m_sand.crf
-18527471.417500
-2435471.417500
4937146.469600
18821246.469600
1
Projected
GCS_WGS_1984
Linear Unit: Meter (1.000000)
WGS_1984_Web_Mercator_Auxiliary_Sphere
<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.4.0'><WKT>PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</YOrigin><XYScale>148923141.92838538</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem>
32
FALSE
LERC2D
1
Cache/LERC2D
TRUE
continuous
floating point
20250122
13365700
20250122
13531800
20250407
ArcGIS Metadata
1.0
remote-sensing image
Sand percentage (%)
Esri ArcGIS 13.4.0.55405
true
-166.435108
-21.878212
84.013162
40.488231
Predicted sand percentage (%) at a defined depth range (0-5 cm, 5-15 cm, 15-30 cm, 30-60 cm, 60- 100 cm). The Canadian Soil Information Service has developed a detailed dataset of Canada's soils and associated properties using advanced machine learning techniques. The Soil Landscape Grids of Canada is produced using a combination of historical and current data from both soil sampling and remote sensing. The machine learning model is trained using over 10,000 pedon locations from across Canada as well as 70 covariate datasets. This new dataset is pivotal in addressing the gaps left by legacy soil surveys and facilitates more comprehensive assessments nationwide. As new data becomes available and machine learning techniques advance, this information can be updated much faster than with traditional soil surveying methods. For more information, visit: https://open.canada.ca/data/en/dataset/4d39c9f9-a85c-4bf2-b920-138fdd423384
Predicted sand percentage (%) at a defined depth range (0-5 cm, 5-15 cm, 15-30 cm, 30-60 cm, 60- 100 cm).
Agriculture and Agri-Food Canada
© Government of Canada (2025). Data are subject to the Government of Canada Open Data Licence Agreement: https://open.canada.ca/en/open-government-licence-canada. The terms of this Agreement govern your use and reproduction of the data instead of the copyright reproduction statements found in Important Notices on the Agriculture and Agri-Food Canada website.
Soil
Agriculture
Land management
Environment
Geomatics
Geographic information systems
Geographic data
Maps
Geography
2
138841
160920