extreme_weather_indices/temperature (ImageServer)

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Service Description: Agriculture is an important primary production sector in Canada. Agricultural production, profitability, sustainability and food security depend on many agrometeorological factors. Extreme weather events in Canada, such as drought, floods, heat waves, frosts and high intensity storms, have the ability to significantly impact field crop production. Agriculture and Agri-Food Canada (AAFC) and Environment and Climate Change Canada (ECCC) have together developed a suite of extreme agrometeorological indices based on four main categories of weather factors: temperature, precipitation, heat, and wind. The extreme weather indices are intended as short-term prediction tools and generated using ECCC's medium range forecasts to create a weekly index product on a daily basis. Temperature is a key factor affecting the physiological development of field crops as well as crop yield and agricultural product quality achieved during the growing season. Crop responses to the temperature are characterized by three important cardinal temperature indices - the cardinal minimum temperature, maximum cardinal temperature, and optimum temperature for field crop production, at which the plant growth and development can start, stop, and proceed at the maximum rate respectively. For more information, visit: https://open.canada.ca/data/en/dataset/b7e2321b-056d-4121-b3b5-556c6b85d9a6

Name: extreme_weather_indices/temperature

Description: Agriculture is an important primary production sector in Canada. Agricultural production, profitability, sustainability and food security depend on many agrometeorological factors. Extreme weather events in Canada, such as drought, floods, heat waves, frosts and high intensity storms, have the ability to significantly impact field crop production. Agriculture and Agri-Food Canada (AAFC) and Environment and Climate Change Canada (ECCC) have together developed a suite of extreme agrometeorological indices based on four main categories of weather factors: temperature, precipitation, heat, and wind. The extreme weather indices are intended as short-term prediction tools and generated using ECCC's medium range forecasts to create a weekly index product on a daily basis. Temperature is a key factor affecting the physiological development of field crops as well as crop yield and agricultural product quality achieved during the growing season. Crop responses to the temperature are characterized by three important cardinal temperature indices - the cardinal minimum temperature, maximum cardinal temperature, and optimum temperature for field crop production, at which the plant growth and development can start, stop, and proceed at the maximum rate respectively. For more information, visit: https://open.canada.ca/data/en/dataset/b7e2321b-056d-4121-b3b5-556c6b85d9a6

Single Fused Map Cache: false

Extent:

Initial Extent:

Full Extent:

Time Info:

[2026/04/30 12:00:00 UTC, 2026/05/01 12:00:00 UTC]

Pixel Size X: 1000.0

Pixel Size Y: 1000.0

Band Count: 1

Pixel Type: F32

RasterFunction Infos: {"rasterFunctionInfos": [ { "name": "None", "description": "Make a Raster or Raster Dataset into a Function Raster Dataset.", "help": "" }, { "name": "dcw", "description": "Cool wave days", "help": "" }, { "name": "dhw", "description": "Heat wave days", "help": "" }, { "name": "ffd", "description": "Frost-free days", "help": "" }, { "name": "ifd", "description": "Ice freeze days", "help": "" }, { "name": "probability", "description": "Probability (%)", "help": "" } ]}

Mensuration Capabilities: Basic

Has Histograms: false

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text: Agriculture and Agri-Food Canada, Environment and Climate Change Canada, Government of Canada

Service Data Type: esriImageServiceDataTypeGeneric

Min Values: N/A

Max Values: N/A

Mean Values: N/A

Standard Deviation Values: N/A

Object ID Field: OBJECTID

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dateEnd ( type: esriFieldTypeDate, alias: dateEnd, length: 8 )
tType ( type: esriFieldTypeString, alias: tType, length: 30 )

Default Mosaic Method: ByAttribute

Allowed Mosaic Methods: ByAttribute,None,LockRaster

SortField: dateEnd

SortValue: 3000

Mosaic Operator: First

Default Compression Quality: 75

Default Resampling Method: Bilinear

Max Record Count: 1000

Max Image Height: 4100

Max Image Width: 15000

Max Download Image Count: 20

Max Mosaic Image Count: 1

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 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