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ImageServices/AK_VolatileFuelPrevalence_LRS (ImageServer)

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Service Description: These data represent prevalence (i.e., relative abundance and proximity) of volatile fuel types (primarily conifers) capable of producing embers that could start fires. Water/ice pixels from the original input landcover raster are retained in volatile fuel prevalence rasters. The intent of the water/ice "patch" is to make the dataset easier for users to interpret these data and to distinguish areas unlikely to burn (e.g., sparse vegetation) from those that will not burn (e.g., water). These data are an additional tool to use in risk assessments. Long Range Spotting data are useful for planning larger fuel treatments, regional analysis, and identifying larger areas with potential to burn. They do not replace models that simulate fire movement and behavior. Prevalence values fall into 6 categories: 1 = Very Low prevalence of hazardous/highly flammable vegetation in the surrounding area 2 = Low prevalence of hazardous/highly flammable vegetation in the surrounding area 3 = Moderate prevalence of hazardous/highly flammable vegetation in the surrounding area. 4 = High prevalence of hazardous/highly flammable vegetation in the surrounding area. 5 = Maximum (surrounded) prevalence of hazardous/highly flammable vegetation in the surrounding area. 10 = Identifies water/ice, derived from in the original landcover dataset.

Name: ImageServices/AK_VolatileFuelPrevalence_LRS

Description: These data represent prevalence (i.e., relative abundance and proximity) of volatile fuel types (primarily conifers) capable of producing embers that could start fires. Water/ice pixels from the original input landcover raster are retained in volatile fuel prevalence rasters. The intent of the water/ice "patch" is to make the dataset easier for users to interpret these data and to distinguish areas unlikely to burn (e.g., sparse vegetation) from those that will not burn (e.g., water). These data are an additional tool to use in risk assessments. Long Range Spotting data are useful for planning larger fuel treatments, regional analysis, and identifying larger areas with potential to burn. They do not replace models that simulate fire movement and behavior. Prevalence values fall into 6 categories: 1 = Very Low prevalence of hazardous/highly flammable vegetation in the surrounding area 2 = Low prevalence of hazardous/highly flammable vegetation in the surrounding area 3 = Moderate prevalence of hazardous/highly flammable vegetation in the surrounding area. 4 = High prevalence of hazardous/highly flammable vegetation in the surrounding area. 5 = Maximum (surrounded) prevalence of hazardous/highly flammable vegetation in the surrounding area. 10 = Identifies water/ice, derived from in the original landcover dataset.

Single Fused Map Cache: false

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

Pixel Size Y: 29.999999999999993

Band Count: 1

Pixel Type: S8

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

Mensuration Capabilities: Basic

Has Histograms: true

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text: U.S. Department of the Interior, Bureau of Land Management (BLM), Alaska Fire Service

Service Data Type: esriImageServiceDataTypeThematic

Min Values: 1

Max Values: 10

Mean Values: 3.1003041001944407

Standard Deviation Values: 2.2788071215908925

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: false

Allow Analysis: true

Allow Compute TiePoints: false

Supports Statistics: false

Supports Advanced Queries: false

Use StandardizedQueries: true

Raster Type Infos: Has Raster Attribute Table: true

Edit Fields Info: null

Ownership Based AccessControl For Rasters: null

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

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