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A DOQQ is a computer generated image of an aerial photograph in which displacements caused by camera orientation and terrain have been removed. Orthophotos combine the image characteristics of a photograph with the geometric qualities of a map. The primary digital orthophotoquad (DOQ) is a 1-meter ground resolution, quarter-quadrangle (3.75-minutes of latitude by 3.75-minutes of longitude) image cast on the Universal Transverse Mercator Projection (UTM) on the North American Datum of 1983 (NAD83).The geographic extent of the DOQ is equivalent to a quarter-quad plus The overedge ranges a minimum of 50 meters to a maximum of 300 meters beyond the extremes of the primary and secondary corner points. This dataset was rebuilt in ArcGIS Image Server using MrSID imagery for the data source. The JPG imagery that was used for the 2004 DOQQ dataset in ArcSDE Raster was found to have inaccurate colors. This dataset has been built using ArcGIS Image Server instead of ArcSDE Raster for easier maintenance and improved performance. The imagery included in this layer is flown from 2003-2005<\/span><\/span><\/p><\/div>", "name": "Imagery/DOQQ_2004", "description": "

A DOQQ is a computer generated image of an aerial photograph in which displacements caused by camera orientation and terrain have been removed. Orthophotos combine the image characteristics of a photograph with the geometric qualities of a map. The primary digital orthophotoquad (DOQ) is a 1-meter ground resolution, quarter-quadrangle (3.75-minutes of latitude by 3.75-minutes of longitude) image cast on the Universal Transverse Mercator Projection (UTM) on the North American Datum of 1983 (NAD83).The geographic extent of the DOQ is equivalent to a quarter-quad plus The overedge ranges a minimum of 50 meters to a maximum of 300 meters beyond the extremes of the primary and secondary corner points. This dataset was rebuilt in ArcGIS Image Server using MrSID imagery for the data source. The JPG imagery that was used for the 2004 DOQQ dataset in ArcSDE Raster was found to have inaccurate colors. This dataset has been built using ArcGIS Image Server instead of ArcSDE Raster for easier maintenance and improved performance. 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