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ElizabethRiver/Portsmouth_morning_heatIndex (ImageServer)

View In:   ArcGIS JavaScript   ArcGIS Online Map Viewer   ArcGIS Earth

Service Description:

Represents the morning heat index (6-7 am) in Portsmouth, Virginia on July 15, 2024.



Name: ElizabethRiver/Portsmouth_morning_heatIndex

Description:

Single Fused Map Cache: false

Extent: Initial Extent: Full Extent: Pixel Size X: 10.0

Pixel Size Y: 10.0

Band Count: 1

Pixel Type: U16

RasterFunction Infos: {"rasterFunctionInfos": [ { "name": "Portsmouth_HeatMaps_BlueYellowRed_ContinuousColrStretch", "description": "Continuous color ramp of blue yellow red for use with Portsmouth HeatMaps for temperature and heat index display.", "help": "" }, { "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: Heat Watch Portsmouth and CAPA Heat Watch program

Service Data Type: esriImageServiceDataTypeThematic

Min Values: 766

Max Values: 798

Mean Values: 782.96188906346

Standard Deviation Values: 5.5111532537212

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: false

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