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imageryBaseMapsEarthCover/orthoRegionalDoq1996_1998 (ImageServer)

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Service Description: MEDOQ are digital orthorectified aerial imagery in gray-scale with 1-meter ground resolution. They are derived from the original US Geological Survey Digital Orthophoto Quarter Quads but cover one full 7.5 minute quadrangle. MEDOQs are compressed using the Lizardtech MrSid software (http://www.lizardtech.com) and are referred to as MrSid format ( .sid ) imagery. The MEDOQs are suitable for applications at a scale of 1" = 1,000 ( 1:12,000 ). MEDOQs are now available for all of Maine on the Maine Office of GIS. MEDOQs are are suitable for applications at a scale of 1" = 1,000 ( 1:12,000 ) or larger. According to National Map Accuracy Standards for maps at that scale 90% of well defined points tested must be within 1/30 of an inch or 33.33 feet of their true position on the ground. DOQs serve a variety of purposes, from interim maps to field references for earth science investigations and analysis. The DOQ is useful as a layer of a geographic information system and as a tool for revision of digital line graphs and topographic maps.Users must assume responsibility in determining the usability of this data for their purpose. Data at this scale may be useful for parcel level studies and detailed planning.

Name: imageryBaseMapsEarthCover/orthoRegionalDoq1996_1998

Description: MEDOQ are digital orthorectified aerial imagery in gray-scale with 1-meter ground resolution. They are derived from the original US Geological Survey Digital Orthophoto Quarter Quads but cover one full 7.5 minute quadrangle. MEDOQs are compressed using the Lizardtech MrSid software (http://www.lizardtech.com) and are referred to as MrSid format ( .sid ) imagery. The MEDOQs are suitable for applications at a scale of 1" = 1,000 ( 1:12,000 ). MEDOQs are now available for all of Maine on the Maine Office of GIS. MEDOQs are are suitable for applications at a scale of 1" = 1,000 ( 1:12,000 ) or larger. According to National Map Accuracy Standards for maps at that scale 90% of well defined points tested must be within 1/30 of an inch or 33.33 feet of their true position on the ground. DOQs serve a variety of purposes, from interim maps to field references for earth science investigations and analysis. The DOQ is useful as a layer of a geographic information system and as a tool for revision of digital line graphs and topographic maps.Users must assume responsibility in determining the usability of this data for their purpose. Data at this scale may be useful for parcel level studies and detailed planning.

Single Fused Map Cache: false

Extent: Initial Extent: Full Extent: Time Info: Pixel Size X: 0.9999999999999941

Pixel Size Y: 0.9999999999999944

Band Count: 1

Pixel Type: U8

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

Mensuration Capabilities: None

Has Histograms: true

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text: U.S. Geological Survey (USGS) EROS Data Center (EDC), Maine GeoLibrary

Service Data Type: esriImageServiceDataTypeGeneric

Min Values: 0.04935622317596566

Max Values: 254.95064377682402

Mean Values: 94.04137959060958

Standard Deviation Values: 25.62797734770865

Object ID Field: OBJECTID

Fields: Default Mosaic Method: Northwest

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

SortField:

SortValue: null

Mosaic Operator: First

Default Compression Quality: 87

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   Histograms   Key Properties   Legend   MultiDimensionalInfo   rasterFunctionInfos

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