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Service Description: City of Ellisville, MO 2024 6inch Imagery
Name: EllisvilleMO/EllisvilleMO_2024_6in_Imagery
Description: City of Ellisville, MO 2024 6inch Imagery
Single Fused Map Cache: false
Extent:
XMin: 785174.5
YMin: 990042
XMax: 807675
YMax: 1015043
Spatial Reference: 102696
(102696)
Initial Extent:
XMin: 785174.5
YMin: 990042
XMax: 807675
YMax: 1015043
Spatial Reference: 102696
(102696)
Full Extent:
XMin: 785174.5
YMin: 990042
XMax: 807675
YMax: 1015043
Spatial Reference: 102696
(102696)
Pixel Size X: 0.5
Pixel Size Y: 0.5
Band Count: 3
Pixel Type: U8
RasterFunction Infos: {"rasterFunctionInfos": [{
"name": "None",
"description": "",
"help": ""
}]}
Mensuration Capabilities:
Has Histograms: true
Has Colormap: false
Has Multi Dimensions : false
Rendering Rule:
Min Scale: 0
Max Scale: 0
Copyright Text: Sierra Berg Horner & Shifrin
Service Data Type: esriImageServiceDataTypeRGB
Min Values: 0, 0, 0
Max Values: 255, 255, 255
Mean Values: 93.776755292558, 88.809392269884, 82.329737292719
Standard Deviation Values: 42.8310762061, 42.012089129198, 39.214976125705
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: null
Allow Analysis: null
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
Key Properties
Legend
Raster Function Infos
Supported Operations:
Export Image
Identify
Compute Histograms
Compute Statistics Histograms
Get Samples
Compute Class Statistics
Query Boundary
Compute Pixel Location
Validate
Project