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Service Description: This data set contains imagery from the National Agriculture Imagery Program (NAIP). NAIP acquires digital ortho imagery during the agricultural growing seasons in the continental U.S.. A primary goal of the NAIP program is to enable availability of ortho imagery within one year of acquisition. NAIP provides two main products: 1 meter ground sample distance (GSD) ortho imagery rectified to a horizontal accuracy of within +/- 3 meters of reference digital ortho quarter quads (DOQQ's) from the National Digital Ortho Program (NDOP); and, 2 meter GSD ortho imagery rectified to within +/- 10 meters of reference DOQQs. The tiling format of NAIP imagery is based on a 3.75' x 3.75' quarter quadrangle with a 300 meter buffer on all four sides. NAIP quarter quads are formatted to the UTM coordinate system using NAD83. NAIP imagery may contain as much as 10% cloud cover per tile. This file was generated by compressing NAIP quarter quadrangle tiles that cover a county. MrSID (MG3) compression, with mosaic option, was used. Target values for the compression ratio are (15:1) and compression levels(9) are used.
Name: Orthoimagery/Ortho2006_1M
Description: This data set contains imagery from the National Agriculture Imagery Program (NAIP). NAIP acquires digital ortho imagery during the agricultural growing seasons in the continental U.S.. A primary goal of the NAIP program is to enable availability of ortho imagery within one year of acquisition. NAIP provides two main products: 1 meter ground sample distance (GSD) ortho imagery rectified to a horizontal accuracy of within +/- 3 meters of reference digital ortho quarter quads (DOQQ's) from the National Digital Ortho Program (NDOP); and, 2 meter GSD ortho imagery rectified to within +/- 10 meters of reference DOQQs. The tiling format of NAIP imagery is based on a 3.75' x 3.75' quarter quadrangle with a 300 meter buffer on all four sides. NAIP quarter quads are formatted to the UTM coordinate system using NAD83. NAIP imagery may contain as much as 10% cloud cover per tile. This file was generated by compressing NAIP quarter quadrangle tiles that cover a county. MrSID (MG3) compression, with mosaic option, was used. Target values for the compression ratio are (15:1) and compression levels(9) are used.
Single Fused Map Cache: false
Extent:
XMin: 389624.0
YMin: 4559754.0
XMax: 458568.0
YMax: 4623154.0
Spatial Reference: 26916
(26916)
LatestVCSWkid(0)
Initial Extent:
XMin: 389624.0
YMin: 4559754.0
XMax: 458568.0
YMax: 4623154.0
Spatial Reference: 26916
(26916)
LatestVCSWkid(0)
Full Extent:
XMin: 389624.0
YMin: 4559754.0
XMax: 458568.0
YMax: 4623154.0
Spatial Reference: 26916
(26916)
LatestVCSWkid(0)
Pixel Size X: 2.0
Pixel Size Y: 2.0
Band Count: 3
Pixel Type: U8
RasterFunction Infos: {"rasterFunctionInfos": [{
"name": "None",
"description": "",
"help": ""
}]}
Mensuration Capabilities: Basic
Inspection Capabilities:
Has Histograms: false
Has Colormap: false
Has Multi Dimensions : false
Rendering Rule:
Min Scale: 0
Max Scale: 0
Resampling: false
Copyright Text: USDA-FSA Aerial Photography Field Office
Service Data Type: esriImageServiceDataTypeRGB
Min Values: N/A
Max Values: N/A
Mean Values: N/A
Standard Deviation Values: N/A
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:
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
Statistics
Key Properties
Legend
Raster Function Infos
Supported Operations:
Export Image
Identify
Measure
Compute Histograms
Compute Statistics Histograms
Get Samples
Compute Class Statistics
Query Boundary
Compute Pixel Location
Compute Angles
Validate
Project