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Service Description: Date of Photography: Jun 26, 29, Aug 14 & Sep 16, 22, 2023
Pixel Resolution: 0.10 m
Spectral Bands: RGB Colour & NIR
Airborne Sensor: Vexcel UltraCam Eagle M3
Coordinate System: 3TM 114W NAD83 (EPSG Code 3776)
Date Orthophoto Created: 2023
Data Steward Contact: Geospatial Business Solutions division, GBS@Calgary.ca
Horizontal Accuracy :+/-15cm at 95% confidence level on flat ground surfaces. (confirmed with 70+ surveyed ground control points in the original 3TM 114W NAD83 version.)
The orthophoto is a seamless mosaic of accurately positioned aerial images. These aerial images are geometrically corrected for camera perspective and terrain relief so that they have a consistent scale and can be used for direct positional measurements of ground features like a map.
The aerial photo was captured using a fixed wing aircraft equipped with a special aerial camera sensor and high accuracy GNSS/INS positioning systems to gather thousands of overlapping images in a grid pattern across the entire city. These stereo images were accurately geo-referenced and tied together using the airborne and ground control data in a photogrammetric aerial triangulation. The imagery was then orthorectified using the Calgary 2022 LIDAR bare-Earth DEM.
Orthophoto is considered a core geospatial dataset. It is commonly used in many applications such as geospatial analysis, engineering design, City planning, asset management and as a base GIS dataset providing rich contextual information for anywhere in the city. The Calgary orthophoto is updated annually with a city-wide aerial survey flown each spring.
Name: pub_Orthophotos/CurrentOrthophoto
Description: Date of Photography: Jun 26, 29, Aug 14 & Sep 16, 22, 2023
Pixel Resolution: 0.10 m
Spectral Bands: RGB Colour & NIR
Airborne Sensor: Vexcel UltraCam Eagle M3
Coordinate System: 3TM 114W NAD83 (EPSG Code 3776)
Date Orthophoto Created: 2023
Data Steward Contact: Geospatial Business Solutions division, GBS@Calgary.ca
Horizontal Accuracy :+/-15cm at 95% confidence level on flat ground surfaces. (confirmed with 70+ surveyed ground control points in the original 3TM 114W NAD83 version.)
The orthophoto is a seamless mosaic of accurately positioned aerial images. These aerial images are geometrically corrected for camera perspective and terrain relief so that they have a consistent scale and can be used for direct positional measurements of ground features like a map.
The aerial photo was captured using a fixed wing aircraft equipped with a special aerial camera sensor and high accuracy GNSS/INS positioning systems to gather thousands of overlapping images in a grid pattern across the entire city. These stereo images were accurately geo-referenced and tied together using the airborne and ground control data in a photogrammetric aerial triangulation. The imagery was then orthorectified using the Calgary 2022 LIDAR bare-Earth DEM.
Orthophoto is considered a core geospatial dataset. It is commonly used in many applications such as geospatial analysis, engineering design, City planning, asset management and as a base GIS dataset providing rich contextual information for anywhere in the city. The Calgary orthophoto is updated annually with a city-wide aerial survey flown each spring.
Single Fused Map Cache: false
Extent:
XMin: -23878
YMin: 5632880
XMax: 12764
YMax: 5676946
Spatial Reference: PROJCS["Calgary_3TM_WGS_1984_W114",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-114.0],PARAMETER["Scale_Factor",0.9999],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0]]
Initial Extent:
XMin: -23878
YMin: 5632880
XMax: 12764
YMax: 5676946
Spatial Reference: PROJCS["Calgary_3TM_WGS_1984_W114",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-114.0],PARAMETER["Scale_Factor",0.9999],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0]]
Full Extent:
XMin: -23878
YMin: 5632880
XMax: 12764
YMax: 5676946
Spatial Reference: PROJCS["Calgary_3TM_WGS_1984_W114",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-114.0],PARAMETER["Scale_Factor",0.9999],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0]]
Pixel Size X: 0.1
Pixel Size Y: 0.1
Band Count: 3
Pixel Type: U8
RasterFunction Infos: {"rasterFunctionInfos": [{
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Mensuration Capabilities: Basic
Has Histograms: true
Has Colormap: false
Has Multi Dimensions : false
Rendering Rule:
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Max Scale: 0
Copyright Text: City of Calgary
Service Data Type: esriImageServiceDataTypeProcessed
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Mean Values: 116.29639097252516, 129.67300618682825, 116.46771480066877
Standard Deviation Values: 41.02983169023106, 36.75783039902555, 37.05138211940134
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Default Mosaic Method: Northwest
Allowed Mosaic Methods: NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline,None
SortField:
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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:
Name: Raster Dataset
Description: Supports all ArcGIS Raster Datasets
Help:
Has Raster Attribute Table: false
Edit Fields Info: null
Ownership Based AccessControl For Rasters: null
Child Resources:
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Histograms
Statistics
Key Properties
Legend
Raster Function Infos
Supported Operations:
Export Image
Query
Identify
Measure
Compute Histograms
Compute Statistics Histograms
Get Samples
Compute Class Statistics
Query Boundary
Compute Pixel Location
Compute Angles
Validate
Project