AirPhoto/WinnebagoCo2015 (ImageServer)

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Service Description: This data set consists of orthophotos covering approximately 554.2 square miles over the Winnebago County, Wisconsin. An orthoimage is remotely sensed image data in which displacement of features in the image caused by terrain relief and variations in aircraft altitude and orientation have been mathematically removed. Orthoimagery combines the image characteristics of a photograph with the geometric qualities of a map. A total of 674 uncompressed, ortho photo tiles formatted as 8-bit, 4-band (RGB-IR) natural color GeoTIFF (with TIF world files) were produced in NAD83 (2011) WISCORS - Winnebago County System, US survey feet; NAVD88 (Geoid 12A), US survey feet. Tile size is 5,000 feet x 5,000 ft and uses a tile index which derives the tile file name from the southwest corner of the tile. There is no image overlap between adjacent files. Aerial photography for the project was captured during the Spring of 2015 on the following flight dates: March 17, 2015 and March 18, 2015. The Nominal Acquisition Altitude of 7,500 ft (AGL) was used to capture the 0.5-foot imagery. The Microsoft UltraCam and Eagle (UCE) large format digital camera was used to capture four band (RGB-IR) imagery at 8 bits. Some areas had snow piles on the ground and ice on lakes, however this was deemed not an issue. Rivers were at or below normal levels.

Name: AirPhoto/WinnebagoCo2015

Description: This data set consists of orthophotos covering approximately 554.2 square miles over the Winnebago County, Wisconsin. An orthoimage is remotely sensed image data in which displacement of features in the image caused by terrain relief and variations in aircraft altitude and orientation have been mathematically removed. Orthoimagery combines the image characteristics of a photograph with the geometric qualities of a map. A total of 674 uncompressed, ortho photo tiles formatted as 8-bit, 4-band (RGB-IR) natural color GeoTIFF (with TIF world files) were produced in NAD83 (2011) WISCORS - Winnebago County System, US survey feet; NAVD88 (Geoid 12A), US survey feet. Tile size is 5,000 feet x 5,000 ft and uses a tile index which derives the tile file name from the southwest corner of the tile. There is no image overlap between adjacent files. Aerial photography for the project was captured during the Spring of 2015 on the following flight dates: March 17, 2015 and March 18, 2015. The Nominal Acquisition Altitude of 7,500 ft (AGL) was used to capture the 0.5-foot imagery. The Microsoft UltraCam and Eagle (UCE) large format digital camera was used to capture four band (RGB-IR) imagery at 8 bits. Some areas had snow piles on the ground and ice on lakes, however this was deemed not an issue. Rivers were at or below normal levels.

Single Fused Map Cache: false

Extent:

Initial Extent:

Full Extent:

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: Basic

Has Histograms: false

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text: Imagery Date: March, 2015

Service Data Type: esriImageServiceDataTypeRGB

Min Values: N/A

Max Values: N/A

Mean Values: N/A

Standard Deviation Values: N/A

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:

Has Raster Attribute Table: false

Edit Fields Info: null

Ownership Based AccessControl For Rasters: null

Child Resources: Info 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