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WildfireInformation/Fire_Exposure_Raster_Short (ImageServer)

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Service Description:

These datasets represent the outputs from short and long-range wildfire exposure assessments, which quantify the proportion of surrounding grid cells containing hazardous fuels for a given location. The long-range exposure dataset identifies the number of cells within a 500m radius with the potential to generate embers that could reach that location, while the short-range exposure dataset evaluates the number of cells within a 100m radius with a similar ember-generating potential.

The directional vulnerability datasets assess linear wildfire vulnerability on the landscape in a systematic radial sampling pattern based on intersection with areas of high exposure, indicating the direction and extend of potential wildfire pathways towards a value (communities).

This dataset was generated using the FireexposuR package for R (GitHub - ropensci/fireexposuR: Compute and Visualize Wildfire Exposure)

The short- and long-range exposure datasets were generated using a 2020 LANDSAT land classification dataset. Fire perimeters from between 2020 and 2025 were incorporated into the land classification raster using a mosaic tool. The dataset was then reclassified to values between 0 and 1 to represent the potential for each land cover type to produce embers that travel 100 m (short-range) and 500 m (long-range). The following classification matrices were used. Land cover types marked as 1 indicate the potential to generate embers that travel the required distance, while those marked as 0 indicate no potential to generate embers that travel the required distance:

Long-Range (500 m) exposure

1, # Temperate or subpolar needleleaf forest

1, # Subpolar taiga needleleaf forest

0, # Temperate or subpolar broadleaf deciduous forest

1, # Mixed forest

0, # Shrubland

0, # Grassland

0, # Lichen-moss

0, # Lichen-moss

0, # Lichen-moss

0, # Wetland

0, # Cropland

0, #Barren Land

0.5, # Urban and built up

0, # Water

0, # Snow and Ice

0, # Burned

0, # Fuels Management

0.3 # FireSmart

Short-Range (100 m) exposure

1, # Temperate or subpolar needleleaf forest

1, # Subpolar taiga needleleaf forest

1, # Temperate or subpolar broadleaf deciduous forest

1, # Mixed forest

1, # Shrubland

1, # Grassland

0, # Lichen-moss

0, # Lichen-moss

0, # Lichen-moss

0, # Wetland

0, # Cropland

0.5, # Urban and built up

0, # Water

0, # Snow and Ice

0, # Burned

0, # Fuels Management

0.3 # FireSmart

Distributed from GeoYukon by the Government of Yukon. Discover more digital map data and interactive maps from Yukon’s digital map data collection.For more information: geomatics.help@yukon.ca



Name: WildfireInformation/Fire_Exposure_Raster_Short

Description:

These datasets represent the outputs from short and long-range wildfire exposure assessments, which quantify the proportion of surrounding grid cells containing hazardous fuels for a given location. The long-range exposure dataset identifies the number of cells within a 500m radius with the potential to generate embers that could reach that location, while the short-range exposure dataset evaluates the number of cells within a 100m radius with a similar ember-generating potential.

The directional vulnerability datasets assess linear wildfire vulnerability on the landscape in a systematic radial sampling pattern based on intersection with areas of high exposure, indicating the direction and extend of potential wildfire pathways towards a value (communities).

This dataset was generated using the FireexposuR package for R (GitHub - ropensci/fireexposuR: Compute and Visualize Wildfire Exposure)

The short- and long-range exposure datasets were generated using a 2020 LANDSAT land classification dataset. Fire perimeters from between 2020 and 2025 were incorporated into the land classification raster using a mosaic tool. The dataset was then reclassified to values between 0 and 1 to represent the potential for each land cover type to produce embers that travel 100 m (short-range) and 500 m (long-range). The following classification matrices were used. Land cover types marked as 1 indicate the potential to generate embers that travel the required distance, while those marked as 0 indicate no potential to generate embers that travel the required distance:

Long-Range (500 m) exposure

1, # Temperate or subpolar needleleaf forest

1, # Subpolar taiga needleleaf forest

0, # Temperate or subpolar broadleaf deciduous forest

1, # Mixed forest

0, # Shrubland

0, # Grassland

0, # Lichen-moss

0, # Lichen-moss

0, # Lichen-moss

0, # Wetland

0, # Cropland

0, #Barren Land

0.5, # Urban and built up

0, # Water

0, # Snow and Ice

0, # Burned

0, # Fuels Management

0.3 # FireSmart

Short-Range (100 m) exposure

1, # Temperate or subpolar needleleaf forest

1, # Subpolar taiga needleleaf forest

1, # Temperate or subpolar broadleaf deciduous forest

1, # Mixed forest

1, # Shrubland

1, # Grassland

0, # Lichen-moss

0, # Lichen-moss

0, # Lichen-moss

0, # Wetland

0, # Cropland

0.5, # Urban and built up

0, # Water

0, # Snow and Ice

0, # Burned

0, # Fuels Management

0.3 # FireSmart

Distributed from GeoYukon by the Government of Yukon. Discover more digital map data and interactive maps from Yukon’s digital map data collection.For more information: geomatics.help@yukon.ca



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: F32

RasterFunction Infos: {"rasterFunctionInfos": [{ "name": "None", "description": "", "help": "" }]}

Mensuration Capabilities: Basic

Inspection Capabilities:

Has Histograms: true

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text: Canada Centre for Remote Sensing (CCRS)/Canada Centre for Mapping and Earth Observation (CCMEO), Natural Resources Canada (NRCan), Government of Yukon

Service Data Type: esriImageServiceDataTypeGeneric

Min Values: 0

Max Values: 1

Mean Values: 0.7115135813910984

Standard Deviation Values: 0.39063614414767095

Object ID Field:

Fields: None

Default Mosaic Method: Center

Allowed Mosaic Methods:

SortField:

SortValue: null

Mosaic Operator: First

Default Compression Quality: 75

Default Resampling Method: Bilinear

Max Record Count: null

Max Image Height: 4100

Max Image Width: 15000

Max Download Image Count: null

Max Mosaic Image Count: null

Allow Raster Function: true

Allow Copy: true

Allow Analysis: true

Allow Compute TiePoints: false

Supports Statistics: false

Supports Advanced Queries: false

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   Identify   Measure   Compute Histograms   Compute Statistics Histograms   Get Samples   Compute Class Statistics   Query Boundary   Compute Pixel Location   Compute Angles   Validate   Project