NAIP/orthoNaip2018 (ImageServer)

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Service Description: The National Agriculture Imagery Program (NAIP) is administered by the U.S. Department of Agriculture's Farm Production and Conservation Business Center (FPAC-BC) Geospatial Enterprise Operations (GEO) Branch. NAIP acquires aerial imagery for the contiguous United States (CONUS) during the agricultural growing season, or leaf-on conditions and may contain as much as 10 percent cloud cover per tile. The images are orthorectified which combines the image characteristics of an aerial photograph with the georeferenced qualities of a map. NAIP acquisition from 2002-2017 was at a ground sample distance (GSD) of 1 or 2-meter. In 2018, the ground sample distance standard changed to 0.6 meter with the option for 0.3 meter. The 2025 acquisition consists of approximately half of the states delivered at 60cm and the other half at 30cm ground sample distance. The repeat flying cycle has also changed to no more than a 3-year cycle (generally every other year for most states) from its 5-year cycle back in 2003-2009. Each individual image tile is based on a 3.75-minute longitude by 3.75-minute latitude quarter quadrangle, originally with a 300-meter buffer on all four sides. In 2024 the buffer was changed to 12-meters on all four sides. Tiles in the NAIP collection are natural color (red, green, and blue bands) or color near infrared (red, green, blue, and near infrared bands). These data are a subset of NAIP 2018 covering the extent of the State of Maine with a Spatial Reference System projection in EPSG 26919

Name: NAIP/orthoNaip2018

Description: The National Agriculture Imagery Program (NAIP) is administered by the U.S. Department of Agriculture's Farm Production and Conservation Business Center (FPAC-BC) Geospatial Enterprise Operations (GEO) Branch. NAIP acquires aerial imagery for the contiguous United States (CONUS) during the agricultural growing season, or leaf-on conditions and may contain as much as 10 percent cloud cover per tile. The images are orthorectified which combines the image characteristics of an aerial photograph with the georeferenced qualities of a map. NAIP acquisition from 2002-2017 was at a ground sample distance (GSD) of 1 or 2-meter. In 2018, the ground sample distance standard changed to 0.6 meter with the option for 0.3 meter. The 2025 acquisition consists of approximately half of the states delivered at 60cm and the other half at 30cm ground sample distance. The repeat flying cycle has also changed to no more than a 3-year cycle (generally every other year for most states) from its 5-year cycle back in 2003-2009. Each individual image tile is based on a 3.75-minute longitude by 3.75-minute latitude quarter quadrangle, originally with a 300-meter buffer on all four sides. In 2024 the buffer was changed to 12-meters on all four sides. Tiles in the NAIP collection are natural color (red, green, and blue bands) or color near infrared (red, green, blue, and near infrared bands). These data are a subset of NAIP 2018 covering the extent of the State of Maine with a Spatial Reference System projection in EPSG 26919

Single Fused Map Cache: false

Extent:

Initial Extent:

Full Extent:

Time Info:

[2018/01/01 00:00:00 UTC, 2019/01/01 00:00:00 UTC]

Pixel Size X: 0.5999999999999701

Pixel Size Y: 0.5999999999999698

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

Resampling: false

Copyright Text: USDA FPAC-BC-GEO

Service Data Type: esriImageServiceDataTypeProcessed

Min Values: 0, 0, 0, 0

Max Values: 255, 255, 255, 255

Mean Values: 80.9037595562821, 102.23940147864931, 74.04751485096213, 120.34914401973141

Standard Deviation Values: 40.19035943942595, 44.697676486098814, 28.026702886571968, 57.854368726812396

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 )
DateBegin ( type: esriFieldTypeDate, alias: DateBegin, length: 8 )
DateEnd ( type: esriFieldTypeDate, alias: DateEnd, length: 8 )
DateIntBegin ( type: esriFieldTypeSmallInteger, alias: DateIntBegin )
DateIntEnd ( type: esriFieldTypeSmallInteger, alias: DateIntEnd )

Default Mosaic Method: Northwest

Allowed Mosaic Methods: NorthWest,Center,ByAttribute,Nadir,Viewpoint,None

SortField:

SortValue: null

Mosaic Operator: First

Default Compression Quality: 87

Default Resampling Method: Bilinear

Max Record Count: 1000

Max Image Height: 4100

Max Image Width: 15000

Max Download Image Count: 0

Max Mosaic Image Count: 24

Allow Raster Function: true

Allow Copy: false

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