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EarlyNiagara/WellandCanalThorold1842 (ImageServer)

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View Footprint In:   ArcGIS Online Map Viewer

Service Description:

Historical map showing a section of the Second Welland Canal and a proposed diversion of a raceway, major streets of Thorold, some mills and buildings.Digitized from MapHst G 3462 w45 1842 P43



Name: EarlyNiagara/WellandCanalThorold1842

Description:

Historical map showing a section of the Second Welland Canal and a proposed diversion of a raceway, major streets of Thorold, some mills and buildings.Digitized from MapHst G 3462 w45 1842 P43



Single Fused Map Cache: false

Extent: Initial Extent: Full Extent: Pixel Size X: 0.031556866098261326

Pixel Size Y: 0.07784628107215004

Band Count: 1

Pixel Type: U8

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: Public Archives of Canada, 1842? Brock University Map, Data & GIS Library, 2024

Service Data Type: esriImageServiceDataTypeGeneric

Min Values: 0

Max Values: 255

Mean Values: 188.58192050771

Standard Deviation Values: 41.405273093671

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