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soil_landscape_grids_100m/soil_great_group_taxonomy (ImageServer)

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Service Description: Predicted Soil Great Group class as defined by the The Canadian System of Soil Classification (third edition). 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/soil_great_group_taxonomy

Description: Predicted Soil Great Group class as defined by the The Canadian System of Soil Classification (third edition). 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

Single Fused Map Cache: false

Extent: Initial Extent: Full Extent: Pixel Size X: 30.0

Pixel Size Y: 30.0

Band Count: 1

Pixel Type: S8

RasterFunction Infos: {"rasterFunctionInfos": [ { "name": "soil_landscape_grids_of_canada_100m_great_group", "description": "Soil great group classifications", "help": "" }, { "name": "None", "description": "", "help": "" } ]}

Mensuration Capabilities: None

Has Histograms: true

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text: Agriculture and Agri-Food Canada

Service Data Type: esriImageServiceDataTypeThematic

Min Values: 0

Max Values: 30

Mean Values: 12.428854161256403

Standard Deviation Values: 6.25965075464129

Object ID Field: OBJECTID

Fields: Default Mosaic Method: Northwest

Allowed Mosaic Methods: NorthWest,None,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline

SortField:

SortValue: null

Mosaic Operator: First

Default Compression Quality: 75

Default Resampling Method: Nearest

Max Record Count: 1000

Max Image Height: 70000

Max Image Width: 70000

Max Download Image Count: 20

Max Mosaic Image Count: 20

Allow Raster Function: true

Allow Copy: true

Allow Analysis: true

Allow Compute TiePoints: false

Supports Statistics: true

Supports Advanced Queries: true

Use StandardizedQueries: true

Raster Type Infos: Has Raster Attribute Table: false

Edit Fields Info: null

Ownership Based AccessControl For Rasters: null

Child Resources:   Info   Histograms   Statistics   Key Properties   Legend   Raster Function Infos

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