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ImageServices/EnterpriseOrthoTC2015ImageService (ImageServer)

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View Footprint In:   ArcGIS Online Map Viewer

Service Description:

This 2015 raster dataset consists of 8-bit, 4-band (R, G, B, NIR) color orthoimagery. A digital orthoimage is a raster image processed from vertical aerial images in which displacement in the image due to sensor orientation and terrain relief have been removed. Orthoimagery combines the image characteristics of an image with the geometric qualities of a map. Unlike planimetric maps which depict natural and manmade features by means of lines, point symbols, texts and polygons, orthoimagery illustrates the actual images of features and are thus more easily interpreted than regular maps. The normal orientation of data in an orthoimage is by lines (rows) and samples (columns). Each line contains a series of pixels ordered from west to east with the order of the lines from north to south. Each image tile is stored in industry standard TIFF (tagged interchange file format) with an associated TIFF world file. Aerial imagery was acquired between April 12 and 15 2015 from flying heights of approximately 1400-1640 feet above ground level (AGL). Each orthoimage tile is 2500feet X 2500feet in dimension, edge-tied with the adjacent tiles (no gap and no overlap). This dataset is published in NAD_1983_HARN_StatePlane_Michigan_South_FIPS_2111_Feet_Intl_feet.



Name: ImageServices/EnterpriseOrthoTC2015ImageService

Description:

This 2015 raster dataset consists of 8-bit, 4-band (R, G, B, NIR) color orthoimagery. A digital orthoimage is a raster image processed from vertical aerial images in which displacement in the image due to sensor orientation and terrain relief have been removed. Orthoimagery combines the image characteristics of an image with the geometric qualities of a map. Unlike planimetric maps which depict natural and manmade features by means of lines, point symbols, texts and polygons, orthoimagery illustrates the actual images of features and are thus more easily interpreted than regular maps. The normal orientation of data in an orthoimage is by lines (rows) and samples (columns). Each line contains a series of pixels ordered from west to east with the order of the lines from north to south. Each image tile is stored in industry standard TIFF (tagged interchange file format) with an associated TIFF world file. Aerial imagery was acquired between April 12 and 15 2015 from flying heights of approximately 1400-1640 feet above ground level (AGL). Each orthoimage tile is 2500feet X 2500feet in dimension, edge-tied with the adjacent tiles (no gap and no overlap). This dataset is published in NAD_1983_HARN_StatePlane_Michigan_South_FIPS_2111_Feet_Intl_feet.



Single Fused Map Cache: false

Extent: Initial Extent: Full Extent: Pixel Size X: 0.5

Pixel Size Y: 0.5

Band Count: 4

Pixel Type: U8

RasterFunction Infos: {"rasterFunctionInfos": [{ "name": "None", "description": "A No-Op Function.", "help": "" }]}

Mensuration Capabilities: None

Has Histograms: false

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text:

Service Data Type: esriImageServiceDataTypeGeneric

Min Values: N/A

Max Values: N/A

Mean Values: N/A

Standard Deviation Values: N/A

Object ID Field: OBJECTID

Fields: Default Mosaic Method: Northwest

Allowed Mosaic Methods: NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline,None

SortField:

SortValue: null

Mosaic Operator: First

Default Compression Quality: 75

Default Resampling Method: Bilinear

Max Record Count: 1000

Max Image Height: 4100

Max Image Width: 15000

Max Download Image Count: 20

Max Mosaic Image Count: 20

Allow Raster Function: true

Allow Compute TiePoints: false

Supports Statistics: true

Supports Advanced Queries: true

Use StandardizedQueries: true

Raster Type Infos: Has Raster Attribute Table: false

Edit Fields Info: null

Ownership Based AccessControl For Rasters: null

Child Resources:   Info   Key Properties   Legend   MultiDimensionalInfo   rasterFunctionInfos

Supported Operations:   Export Image   Query   Identify   Compute Histograms   Compute Statistics Histograms   Get Samples   Compute Class Statistics   Query Boundary   Compute Pixel Location