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Service Description: Agricultural Land Use, Niagara Region, 1983
Name: NiagaraAgric1983/NiagaraAgric7geo
Description: Agricultural Land Use, Niagara Region, 1983
Single Fused Map Cache: false
Extent:
XMin: -8827803.272964805
YMin: 5282208.338567929
XMax: -8781314.480383806
YMax: 5314265.7971549295
Spatial Reference: 102100
(3857)
Initial Extent:
XMin: -8827803.272964805
YMin: 5282208.338567929
XMax: -8781314.480383806
YMax: 5314265.7971549295
Spatial Reference: 102100
(3857)
Full Extent:
XMin: -8827803.272964805
YMin: 5282208.338567929
XMax: -8781314.480383806
YMax: 5314265.7971549295
Spatial Reference: 102100
(3857)
Pixel Size X: 2.960880999999964
Pixel Size Y: 2.9608810000000134
Band Count: 3
Pixel Type: U16
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:
Service Data Type: esriImageServiceDataTypeGeneric
Min Values: 24, 53, 53
Max Values: 255, 255, 255
Mean Values: 244.96905552011, 246.46915127526, 245.96115711402
Standard Deviation Values: 29.100575064322, 26.33019532413, 23.761707138638
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:
Name: Raster Dataset
Description: Supports all ArcGIS Raster Datasets
Help:
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