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Service Description: A mosaic derived from one-meter resolution color Digital Orthophoto Quadrangles (DOQ) of the entire state of Oregon from the summer of 2011 for multiple state agencies in Oregon. The original content was produced utilizing the scanned aerial film acquired during peak agriculture growing seasons under the National Agriculture Imagery Program (NAIP) under contract for the United States Department of Agriculture (USDA) for the Farm Service Agency's (FSA) Compliance Program. A DOQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed. A DOQ combines the image characteristics of a photograph with the geometric qualities of a map. The geographic extent of the DOQ is a full 7.5-minute map (latitude and longitude) with a nominal buffer. The horizontal accuracy is within 5 meters of reference ortho imagery (1992 USGS DOQs.) The 1992 USGS DOQ imagery met National Map Accuracy Standards at 1:24,000 scale for 7.5-minute quadrangles. Translated to the ground, the 0.5 mm error distance at 1:24,000 scale is 39.4 ft (12 meters), making the absolute accuracy for the 2011 Oregon DOQs +/- 17 meters. The process of reprojecting and mosaicing the images may have added a potential shift of +/-0.75 meters, making the cumulative accuracy +/-17.75 meters. The original images were projected into Oregon Lambert (2992).
Name: NAIP_2011/NAIP_2011_SL
Description: A mosaic derived from one-meter resolution color Digital Orthophoto Quadrangles (DOQ) of the entire state of Oregon from the summer of 2011 for multiple state agencies in Oregon. The original content was produced utilizing the scanned aerial film acquired during peak agriculture growing seasons under the National Agriculture Imagery Program (NAIP) under contract for the United States Department of Agriculture (USDA) for the Farm Service Agency's (FSA) Compliance Program. A DOQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed. A DOQ combines the image characteristics of a photograph with the geometric qualities of a map. The geographic extent of the DOQ is a full 7.5-minute map (latitude and longitude) with a nominal buffer. The horizontal accuracy is within 5 meters of reference ortho imagery (1992 USGS DOQs.) The 1992 USGS DOQ imagery met National Map Accuracy Standards at 1:24,000 scale for 7.5-minute quadrangles. Translated to the ground, the 0.5 mm error distance at 1:24,000 scale is 39.4 ft (12 meters), making the absolute accuracy for the 2011 Oregon DOQs +/- 17 meters. The process of reprojecting and mosaicing the images may have added a potential shift of +/-0.75 meters, making the cumulative accuracy +/-17.75 meters. The original images were projected into Oregon Lambert (2992).
Single Fused Map Cache: false
Extent:
XMin: 203665.52493438323
YMin: 66854.3228346461
XMax: 2353540.8530183723
YMax: 1683845.792650919
Spatial Reference: 2992
(2992)
Initial Extent:
XMin: 203665.52493438323
YMin: 66854.3228346461
XMax: 2353540.8530183723
YMax: 1683845.792650919
Spatial Reference: 2992
(2992)
Full Extent:
XMin: 203665.52493438323
YMin: 66854.3228346461
XMax: 2353540.8530183723
YMax: 1683845.792650919
Spatial Reference: 2992
(2992)
Pixel Size X: 3.280839895013123
Pixel Size Y: 3.280839895013123
Band Count: 4
Pixel Type: U8
RasterFunction Infos: {"rasterFunctionInfos": [{
"name": "None",
"description": "A No-Op Function.",
"help": ""
}]}
Mensuration Capabilities: None
Has Histograms: true
Has Colormap: false
Has Multi Dimensions : false
Rendering Rule:
Min Scale: 0
Max Scale: 0
Copyright Text: National Agriculture Imagery Program (NAIP) under contract for the United States Department of Agriculture (USDA) for the Farm Service Agency's (FSA). Oregon Imagery Framework Implementation Team.
Service Data Type: esriImageServiceDataTypeGeneric
Min Values: 19, 37, 41, 1
Max Values: 241, 242, 241, 237
Mean Values: 120.73687407274458, 118.19144860650349, 101.06256783264014, 157.28590151447239
Standard Deviation Values: 36.38431405431042, 25.604823259663185, 21.66298483656162, 23.921219105610632
Object ID Field: OBJECTID
Fields:
-
OBJECTID
(
type: esriFieldTypeOID, alias: OBJECTID
)
-
Shape
(
type: esriFieldTypeGeometry, alias: Shape
)
-
Name
(
type: esriFieldTypeString, alias: Name, length: 200
)
-
MinPS
(
type: esriFieldTypeDouble, alias: MinPS
)
-
MaxPS
(
type: esriFieldTypeDouble, alias: MaxPS
)
-
LowPS
(
type: esriFieldTypeDouble, alias: LowPS
)
-
HighPS
(
type: esriFieldTypeDouble, alias: HighPS
)
-
Category
(
type: esriFieldTypeInteger, alias: Category
, Coded Values:
[0: Unknown]
, [1: Primary]
, [2: Overview]
, ...6 more...
)
-
Tag
(
type: esriFieldTypeString, alias: Tag, length: 100
)
-
GroupName
(
type: esriFieldTypeString, alias: GroupName, length: 100
)
-
ProductName
(
type: esriFieldTypeString, alias: ProductName, length: 100
)
-
CenterX
(
type: esriFieldTypeDouble, alias: CenterX
)
-
CenterY
(
type: esriFieldTypeDouble, alias: CenterY
)
-
ZOrder
(
type: esriFieldTypeInteger, alias: ZOrder
)
-
Shape_Length
(
type: esriFieldTypeDouble, alias: Shape_Length
)
-
Shape_Area
(
type: esriFieldTypeDouble, alias: Shape_Area
)
Default Mosaic Method: Northwest
Allowed Mosaic Methods: NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline,None
SortField:
SortValue: null
Mosaic Operator: First
Default Compression Quality: 100
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: null
Allow Analysis: null
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
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
Compute Angles
Validate
Project