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Imagery/AerialImage_GrandForks_2025 (ImageServer)

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Service Description:

Ayres Associates provided the Grand Forks – East Grand Forks Metropolitan Planning Organization with digital, color orthoimagery services in 2025. The aerial imagery was collected on April 20th and May 3rd using an UltraCam Osprey 4.1 sensor mounted in a fixed-wing aircraft equipped with Inertial Measurment Unit (IMU) and Airborne GPS. Aerial imagery was collected to support 0.25 foot ground sample distance (GSD) orthoimagery to meet the National Mapping Accuracy Standard (NMAS) for 1"=50' scale mapping. The horizontal accuracy meets or exceeds NMAS requirements, stating that 90% of all test points be within 1/30th of an inch at mapping scale. Resultant orthoimagery was rectified to a DEM surface created from existing LiDAR data. Orthoimagery was delivered in PLSS quarter section GeoTIFF, ECW, and MrSID tiles and a project-wide ECW and MrSID mosaic. Additional Information: The Grand Forks – East Grand Forks Metropolitan Planning Organization is a certified planning entity in the State of North Dakota and Minnesota and is comprised of the cities of Grand Forks and East Grand Forks. The purpose of the MPO is to provide a forum for public officials, citizens, and other interested groups to establish policies and plans for effectively addressing various metropolitan transportation issues. The MPO has a planning process that supports metropolitan community development and social goals. These plans and programs shall lead to the development of an integrated, inter-modal metropolitan transportation system that facilitates the efficient, economic movement of people and goods.

This data covers the entirety of the 2025 Grand Forks – East Grand Forks Metropolitan Planning Organization Orthophotography Initiative. Photo positioning was obtained through the use of Inertial Measurement Unit (IMU), Airborne Global Positioning System (ABGPS) and ground-based GPS technology. The imagery was collected using an UltraCam Osprey 4.1 sensor at 7.25cm GSD. Imagery was captured in the absence of haze, fog, smoke, snow, ice, and dust, while streams were within the normal confines of their banks, and while clouds or cloud shadows were limited to 5% of the area of any one image; Image quality was verified during the post flight review phase. A rigorous Aerotriangulation process was performed and supplemented by the ground control. The triangulated strips were rectified using a DEM created from existing LiDAR data. The imagery was mosiacked using manual seamline generation and tone/color balanced to a project-wide consistency. PLSS quarter section RGBI tiles were extracted from the mosiac and each individual tile was reviewed for artifacts and anomalies and adjusted as part of quality control procedures. The images were reviewed for rectification problems such as bridge displacements and seamline issues caused by the underlying digital elevation model. When necessary, local corrections to the imagery were performed to minimize such effects. Images were color corrected to match adjacent flight lines. The resulting imagery was tonally adjusted in terms of contrast and color to form a radiometrically consistent orthophoto mosaic.



Name: Imagery/AerialImage_GrandForks_2025

Description:

Ayres Associates provided the Grand Forks – East Grand Forks Metropolitan Planning Organization with digital, color orthoimagery services in 2025. The aerial imagery was collected on April 20th and May 3rd using an UltraCam Osprey 4.1 sensor mounted in a fixed-wing aircraft equipped with Inertial Measurment Unit (IMU) and Airborne GPS. Aerial imagery was collected to support 0.25 foot ground sample distance (GSD) orthoimagery to meet the National Mapping Accuracy Standard (NMAS) for 1"=50' scale mapping. The horizontal accuracy meets or exceeds NMAS requirements, stating that 90% of all test points be within 1/30th of an inch at mapping scale. Resultant orthoimagery was rectified to a DEM surface created from existing LiDAR data. Orthoimagery was delivered in PLSS quarter section GeoTIFF, ECW, and MrSID tiles and a project-wide ECW and MrSID mosaic. Additional Information: The Grand Forks – East Grand Forks Metropolitan Planning Organization is a certified planning entity in the State of North Dakota and Minnesota and is comprised of the cities of Grand Forks and East Grand Forks. The purpose of the MPO is to provide a forum for public officials, citizens, and other interested groups to establish policies and plans for effectively addressing various metropolitan transportation issues. The MPO has a planning process that supports metropolitan community development and social goals. These plans and programs shall lead to the development of an integrated, inter-modal metropolitan transportation system that facilitates the efficient, economic movement of people and goods.

This data covers the entirety of the 2025 Grand Forks – East Grand Forks Metropolitan Planning Organization Orthophotography Initiative. Photo positioning was obtained through the use of Inertial Measurement Unit (IMU), Airborne Global Positioning System (ABGPS) and ground-based GPS technology. The imagery was collected using an UltraCam Osprey 4.1 sensor at 7.25cm GSD. Imagery was captured in the absence of haze, fog, smoke, snow, ice, and dust, while streams were within the normal confines of their banks, and while clouds or cloud shadows were limited to 5% of the area of any one image; Image quality was verified during the post flight review phase. A rigorous Aerotriangulation process was performed and supplemented by the ground control. The triangulated strips were rectified using a DEM created from existing LiDAR data. The imagery was mosiacked using manual seamline generation and tone/color balanced to a project-wide consistency. PLSS quarter section RGBI tiles were extracted from the mosiac and each individual tile was reviewed for artifacts and anomalies and adjusted as part of quality control procedures. The images were reviewed for rectification problems such as bridge displacements and seamline issues caused by the underlying digital elevation model. When necessary, local corrections to the imagery were performed to minimize such effects. Images were color corrected to match adjacent flight lines. The resulting imagery was tonally adjusted in terms of contrast and color to form a radiometrically consistent orthophoto mosaic.



Single Fused Map Cache: false

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

Pixel Size Y: 0.25

Band Count: 4

Pixel Type: U8

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

Mensuration Capabilities: None

Inspection Capabilities:

Has Histograms: true

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text: Grand Forks/East Grand Forks Metropolitan Planning Organization (MPO)

Service Data Type: esriImageServiceDataTypeProcessed

Min Values: 0, 0, 0, 0

Max Values: 255, 255, 255, 255

Mean Values: 98.07085127226902, 91.46069439789605, 82.37539744945575, 114.46330037725912

Standard Deviation Values: 24.739439053128745, 23.2968694193916, 20.00979206968064, 29.757185288183102

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 Copy: true

Allow Analysis: 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   Statistics   Key Properties   Legend   Raster Function Infos

Supported Operations:   Export Image   Query   Identify   Compute Histograms   Compute Statistics Histograms   Get Samples   Compute Class Statistics   Query GPS Info   Find Images   Image to Map   Map to Image   Measure from Image   Image to Map Multiray   Query Boundary   Compute Pixel Location   Compute Angles   Validate   Project