soil_landscape_grids_100m/bulk_density (ImageServer)

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Service Description: Predicted bulk density (g/cm3 ) at defined depth ranges (0-5 cm, 5-15 cm, 15-30 cm, 30-60 cm, 60-100 cm). The mass of dry soil per unit bulk volume. 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

Name: soil_landscape_grids_100m/bulk_density

Description: Predicted bulk density (g/cm3 ) at defined depth ranges (0-5 cm, 5-15 cm, 15-30 cm, 30-60 cm, 60-100 cm). The mass of dry soil per unit bulk volume. 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

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Copyright Text: Agriculture and Agri-Food Canada

Service Data Type: esriImageServiceDataTypeScientific

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Max Values: 2.9493322372436523

Mean Values: 1.2204364082429946

Standard Deviation Values: 0.20777550604364856

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Supported Operations: Export Image Identify Measure Compute Histograms Compute Statistics Histograms Get Samples Compute Class Statistics Query Boundary Compute Pixel Location Compute Angles Validate Project