Soil Landscape Grids of Canada, 100m

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.

Dataset features:

• detailed 100m resolution
• complete national coverage of Canada
• seven key soil properties at five depth increments
• inclusion of depth to bedrock

The Soil Landscape Grids of Canada provides valuable data for various environmental and agricultural applications, supporting sustainable soil management and scientific research. Potential applications include inventorying soil organic carbon stocks, carbon sequestration assessment, soil health reporting, erosion studies, and land suitability analysis.