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Imagery/2024_Ayres (ImageServer)

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Service Description: Ayres Associates provided the City of Fond du Lac, Wisconsin with digital, 4-band orthoimagery services in 2024 as part of WROC. The aerial imagery was collected on March 12th using a Vexcel UltraCam Eagle M3 sensor mounted in a fixed-wing aircraft. Aerial imagery was collected to support 0.25 foot ground sample distance (GSD) orthoimagery to meet ASPRS Class II horizontal accuracy specifications at 1" = 50' map scale. The 3-inch pixel orthoimagery was produced to meet or exceed a 1.2 foot horizontal accuracy at 95% confidence level, according to ASPRS Positional Accuracy Standards for Digital Geospatial Data. Resultant orthoimagery was rectified to a DEM created from newly acquired LiDAR collected in 2024. Orthoimagery was delivered in PLSS quarter-section GeoTiff and MrSID tiles and a project wide MrSID mosaic. The project area covers approximately 52 square miles. Supplemental Information: The Wisconsin Regional Orthoimagery Consortium (WROC) is a multi-entity group of county members and partners led by regional planning commissions (RPCs) and WROC representatives from Ayres Associates. The goal of the consortium is to build and sustain a multi-participant program to acquire digital orthoimagery and elevation data throughout Wisconsin. Orthoimagery was collected for the City of Fond du Lac in 2024 to provide consistent deliverable products and accuracy standards for each of the participating entities.

Name: Imagery/2024_Ayres

Description: Ayres Associates provided the City of Fond du Lac, Wisconsin with digital, 4-band orthoimagery services in 2024 as part of WROC. The aerial imagery was collected on March 12th using a Vexcel UltraCam Eagle M3 sensor mounted in a fixed-wing aircraft. Aerial imagery was collected to support 0.25 foot ground sample distance (GSD) orthoimagery to meet ASPRS Class II horizontal accuracy specifications at 1" = 50' map scale. The 3-inch pixel orthoimagery was produced to meet or exceed a 1.2 foot horizontal accuracy at 95% confidence level, according to ASPRS Positional Accuracy Standards for Digital Geospatial Data. Resultant orthoimagery was rectified to a DEM created from newly acquired LiDAR collected in 2024. Orthoimagery was delivered in PLSS quarter-section GeoTiff and MrSID tiles and a project wide MrSID mosaic. The project area covers approximately 52 square miles. Supplemental Information: The Wisconsin Regional Orthoimagery Consortium (WROC) is a multi-entity group of county members and partners led by regional planning commissions (RPCs) and WROC representatives from Ayres Associates. The goal of the consortium is to build and sustain a multi-participant program to acquire digital orthoimagery and elevation data throughout Wisconsin. Orthoimagery was collected for the City of Fond du Lac in 2024 to provide consistent deliverable products and accuracy standards for each of the participating entities.

Single Fused Map Cache: false

Extent: Initial Extent: Full Extent: Pixel Size X: 0.25

Pixel Size Y: 0.25

Band Count: 3

Pixel Type: U8

RasterFunction Infos: {"rasterFunctionInfos": [{ "name": "None", "description": "", "help": "" }]}

Mensuration Capabilities: Basic

Has Histograms: true

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text:

Service Data Type: esriImageServiceDataTypeRGB

Min Values: 0, 2, 9

Max Values: 255, 255, 255

Mean Values: 159.94843287995, 156.74973388527, 151.60449438202

Standard Deviation Values: 70.733808157123, 72.145510067733, 75.110576816845

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: true

Allow Analysis: true

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   Histograms   Statistics   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   Compute Angles   Validate   Project