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LARIAC6/LANDCOVER_2020 (ImageServer)

View In:   ArcGIS JavaScript   ArcGIS Online Map Viewer   ArcGIS Earth   ArcMap

View Footprint In:   ArcGIS Online Map Viewer

Service Description: LARIAC6/LANDCOVER_2020

Name: LARIAC6/LANDCOVER_2020

Description:

Single Fused Map Cache: false

Extent: Initial Extent: Full Extent: Pixel Size X: 0.7999999999999974

Pixel Size Y: 0.7999999999999983

Band Count: 1

Pixel Type: U8

RasterFunction Infos: {"rasterFunctionInfos": [ { "name": "None", "description": "Make a Raster or Raster Dataset into a Function Raster Dataset.", "help": "" }, { "name": "Landcover2020_Raster_Function_Template", "description": "A land cover image classification using the 2020 LARIAC aerial imagery conducted by Dudek: 1 = canopy (non-decid), 2 = medium vegetation, 3 = low vegetation, 4 = bare ground, 5 = impervious, 6 = water, 7 = canopy (decid).", "help": "" } ]}

Mensuration Capabilities: Basic

Has Histograms: true

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text:

Service Data Type: esriImageServiceDataTypeGeneric

Min Values: 1

Max Values: 7

Mean Values: 3.4204436037253

Standard Deviation Values: 1.5617187454892

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: false

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