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Service Description: There is positional error inherent in the ortho-rectification of the photo (ranging from 3-15 meters, but usually about 3 meters)
GROUND POINT MEASUREMENT & TRIANGULATION : The collection of "Ground Control Points" (GCPs) refers to identifying certain features in each photo whose geographical coordinates can be provided. Each individual raw photo had an average of at least 3 GCPs and about 7 or more Tie Points. The GCPs were obtained using the 2005 reference orthophotos to determine the geographical coordinates of features (e.g., road intersections) that were visible in both the 2005 and 1967 photos. The same feature was then identified graphically in the un-registered 1967 photo. Often, when road intersections or houses were not available, natural features were used, such as large boulders on the beach arranged in a recognizable pattern. The entire suite of 1611 photos along the entire coastline of Oregon were broken up into 48 individual "blocks", and each one was GCP-measured and triangulated separately.
Triangulation refers to the very quick process of hitting the "Triangulate" button and finding out whether or not the Ground Control Points (GCPs) fit together like a puzzle in a mathematically robust way. There is a resultant "Total RMS" error that indicates how well the geometry of the GCPs "converged". Convergence values greater than 4 meters were chosen as a threshold to indicate a problem and that GCPs had to be re-measured. The maximum positioning error of a single GCP was 16.37 meters; that was in a block whose block-average error was 4.61 meters. The average "Total RMS error" throughout all 48 blocks was 2.96 meters, and the average "Maximum error" of each of the 48 blocks was 10.70 meters.
ORTHO-RECTIFICATION: After triangulation, the creation of ortho-photos is straightforward and simple. It creates a new photo from the original raw photo by applying the mathematically converged geometry to the old photo. The new, ortho-rectified photo has a geographical coordinate (Easting and Northing) associated with each pixel. Features outside the center of photo are affected by the radial distortion of the camera lens and by the elevation changes of the terrain. These two factors can cause a feature (e.g., a house) to be incorrectly moved inward or outward from the center of the photo. The ortho-rectification process incorporates the radial distortion parameters for the given camera lens as well as the terrain model (Digital Elevation Model) to correct for these factors and move the feature to its correct location in the photo.
Name: Aerial_Imagery/OC3_1967_LowRes
Description: There is positional error inherent in the ortho-rectification of the photo (ranging from 3-15 meters, but usually about 3 meters)
GROUND POINT MEASUREMENT & TRIANGULATION : The collection of "Ground Control Points" (GCPs) refers to identifying certain features in each photo whose geographical coordinates can be provided. Each individual raw photo had an average of at least 3 GCPs and about 7 or more Tie Points. The GCPs were obtained using the 2005 reference orthophotos to determine the geographical coordinates of features (e.g., road intersections) that were visible in both the 2005 and 1967 photos. The same feature was then identified graphically in the un-registered 1967 photo. Often, when road intersections or houses were not available, natural features were used, such as large boulders on the beach arranged in a recognizable pattern. The entire suite of 1611 photos along the entire coastline of Oregon were broken up into 48 individual "blocks", and each one was GCP-measured and triangulated separately.
Triangulation refers to the very quick process of hitting the "Triangulate" button and finding out whether or not the Ground Control Points (GCPs) fit together like a puzzle in a mathematically robust way. There is a resultant "Total RMS" error that indicates how well the geometry of the GCPs "converged". Convergence values greater than 4 meters were chosen as a threshold to indicate a problem and that GCPs had to be re-measured. The maximum positioning error of a single GCP was 16.37 meters; that was in a block whose block-average error was 4.61 meters. The average "Total RMS error" throughout all 48 blocks was 2.96 meters, and the average "Maximum error" of each of the 48 blocks was 10.70 meters.
ORTHO-RECTIFICATION: After triangulation, the creation of ortho-photos is straightforward and simple. It creates a new photo from the original raw photo by applying the mathematically converged geometry to the old photo. The new, ortho-rectified photo has a geographical coordinate (Easting and Northing) associated with each pixel. Features outside the center of photo are affected by the radial distortion of the camera lens and by the elevation changes of the terrain. These two factors can cause a feature (e.g., a house) to be incorrectly moved inward or outward from the center of the photo. The ortho-rectification process incorporates the radial distortion parameters for the given camera lens as well as the terrain model (Digital Elevation Model) to correct for these factors and move the feature to its correct location in the photo.
Single Fused Map Cache: false
Extent:
XMin: 220455.8927165419
YMin: 114157.55199930165
XMax: 445526.5983516226
YMax: 1657260.2506561682
Spatial Reference: 102970
(6557)
Initial Extent:
XMin: 220455.8927165419
YMin: 114157.55199930165
XMax: 445526.5983516226
YMax: 1657260.2506561682
Spatial Reference: 102970
(6557)
Full Extent:
XMin: 220455.8927165419
YMin: 114157.55199930165
XMax: 445526.5983516226
YMax: 1657260.2506561682
Spatial Reference: 102970
(6557)
Pixel Size X: 1.6405287813977338
Pixel Size Y: 1.6405287813977338
Band Count: 1
Pixel Type: U8
RasterFunction Infos: {"rasterFunctionInfos": [{
"name": "None",
"description": "",
"help": ""
}]}
Mensuration Capabilities: None
Has Histograms: true
Has Colormap: false
Has Multi Dimensions : false
Rendering Rule:
Min Scale: 0
Max Scale: 0
Copyright Text: This dataset was developed by the Southwest Washington Coastal Erosion Study, Coastal Monitoring & Analysis Program, Washington State Department of Ecology, with funding by the United States Geological Survey.
Service Data Type: esriImageServiceDataTypeGeneric
Min Values: 1
Max Values: 254
Mean Values: 127.77142179768254
Standard Deviation Values: 48.20294127114741
Object ID Field: OBJECTID
Fields:
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type: esriFieldTypeOID, alias: OBJECTID
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MinPS
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type: esriFieldTypeDouble, alias: MinPS
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MaxPS
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LowPS
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type: esriFieldTypeDouble, alias: LowPS
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HighPS
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type: esriFieldTypeDouble, alias: HighPS
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Category
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[0: Unknown]
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GroupName
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type: esriFieldTypeString, alias: ProductName, length: 100
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CenterX
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type: esriFieldTypeDouble, alias: CenterX
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CenterY
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type: esriFieldTypeDouble, alias: CenterY
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Shape_Length
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type: esriFieldTypeDouble, alias: Shape_Length
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Shape_Area
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type: esriFieldTypeDouble, alias: Shape_Area
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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:
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:
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 Boundary
Compute Pixel Location
Validate
Project