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Enhanced_Forest_Inventory/Mean_Height_Thickest_100 (ImageServer)

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Service Description: Mean height of thickest 100 trees/ha ≥ 3 cm DBH. For the 2018 block, the tallest 100 trees/ha ≥ 3 cm DBH is likely used. Resolution is 20x20 metres

Name: Enhanced_Forest_Inventory/Mean_Height_Thickest_100

Description: Mean height of thickest 100 trees/ha ≥ 3 cm DBH. For the 2018 block, the tallest 100 trees/ha ≥ 3 cm DBH is likely used. Resolution is 20x20 metres

Single Fused Map Cache: false

Extent: Initial Extent: Full Extent: Pixel Size X: 20.0

Pixel Size Y: 20.0

Band Count: 1

Pixel Type: F32

RasterFunction Infos: {"rasterFunctionInfos": [{ "name": "None", "description": "A No-Op Function.", "help": "" }]}

Mensuration Capabilities: Basic

Has Histograms: true

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text: New Brunswick Department of Natural Resources and Energy Development

Service Data Type: esriImageServiceDataTypeGeneric

Min Values: 0

Max Values: 28.600000381469727

Mean Values: 14.620563257599377

Standard Deviation Values: 4.984672819269455

Object ID Field: OBJECTID

Fields: Default Mosaic Method: Northwest

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

SortField:

SortValue: null

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: 20

Allow Raster Function: 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   Key Properties   Legend   MultiDimensionalInfo   rasterFunctionInfos

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