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annual_crop_inventory/2023 (ImageServer)

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Service Description: In 2023, the Earth Observation Team of the Science and Technology Branch (STB) at Agriculture and Agri-Food Canada (AAFC) repeated the process of generating annual crop inventory digital maps using satellite imagery for all Canadian provinces, in support of a national crop inventory. This year we again produced a map of the agricultural regions in the Yukon Territory. A Decision Tree (DT) based methodology was applied using optical (Landsat-8, Landsat-9, Sentinel-2), and radar (RCM) based satellite images, and having a final spatial resolution of 30m. In conjunction with satellite acquisitions, ground-truth information was provided by: provincial crop insurance companies in Alberta, Saskatchewan, Manitoba, and Quebec; point observations from the PEI Department of Environment, Water and Climate Change; and data collection supported by our regional AAFC Research and Development Centres in St. John's, Kentville, Fredericton, Guelph, Summerland and Whitehorse. New this season, Forest Fire Perimeter Estimate polygons from Natural Resources Canada’s Canadian Forest Service were used to show burned areas of landcover (class 60). For more information, visit: https://open.canada.ca/data/en/dataset/5d3ab93e-324a-41db-8d29-0f0813d0e9cd

Name: annual_crop_inventory/2023

Description: In 2023, the Earth Observation Team of the Science and Technology Branch (STB) at Agriculture and Agri-Food Canada (AAFC) repeated the process of generating annual crop inventory digital maps using satellite imagery for all Canadian provinces, in support of a national crop inventory. This year we again produced a map of the agricultural regions in the Yukon Territory. A Decision Tree (DT) based methodology was applied using optical (Landsat-8, Landsat-9, Sentinel-2), and radar (RCM) based satellite images, and having a final spatial resolution of 30m. In conjunction with satellite acquisitions, ground-truth information was provided by: provincial crop insurance companies in Alberta, Saskatchewan, Manitoba, and Quebec; point observations from the PEI Department of Environment, Water and Climate Change; and data collection supported by our regional AAFC Research and Development Centres in St. John's, Kentville, Fredericton, Guelph, Summerland and Whitehorse. New this season, Forest Fire Perimeter Estimate polygons from Natural Resources Canada’s Canadian Forest Service were used to show burned areas of landcover (class 60). For more information, visit: https://open.canada.ca/data/en/dataset/5d3ab93e-324a-41db-8d29-0f0813d0e9cd

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: U8

RasterFunction Infos: {"rasterFunctionInfos": [ { "name": "annual_crop_inventory", "description": "Combined annual crop inventory Remap and Attribute Table raster functions", "help": "" }, { "name": "annual_crop_inventory_simplified", "description": "Simplified annual crop inventory Remap and Attribute Table raster functions", "help": "" }, { "name": "annual_crop_inventory_simplified_more", "description": "More simplified annual crop inventory Remap and Attribute Table raster functions", "help": "" }, { "name": "annual_crop_inventory_simplified_most", "description": "Most simplified annual crop inventory Remap and Attribute Table raster functions", "help": "" }, { "name": "None", "description": "Make a Raster or Raster Dataset into a Function Raster Dataset.", "help": "" } ]}

Mensuration Capabilities: Basic

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: 230

Mean Values: 149.0049394048165

Standard Deviation Values: 64.99883654632029

Object ID Field: OBJECTID

Fields: Default Mosaic Method: Center

Allowed Mosaic Methods: Center,None,NorthWest,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   Measure   Compute Histograms   Compute Statistics Histograms   Get Samples   Compute Class Statistics   Query Boundary   Compute Pixel Location   Compute Angles   Validate   Project