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soil_landscape_grids_of_canada_100m_silt.crf
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4937146.469600
18821246.469600
1
Projected
GCS_WGS_1984
Linear Unit: Meter (1.000000)
WGS_1984_Web_Mercator_Auxiliary_Sphere
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ArcGIS Metadata
1.0
Esri ArcGIS 13.4.0.55405
Silt percentage (%)
1
-166.435108
-21.878212
84.013162
40.488231
Predicted silt 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 silt 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
Raster Dataset
dataset
EPSG
6.18.3(9.3.1.2)
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1
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Band_1
100.000000
0.000000
32