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NAIP/NAIP22_NCCIR_60cm (ImageServer)

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Service Description: This orthoimagery dataset was acquired by the National Agriculture Imagery Program (NAIP) during the 2022 agricultural growing season and through the spring and summer of 2022 (May 2022 – September 2022), resulting in leaf-on conditions statewide in Texas. The entire dataset is available at 60-cm (2-foot) pixel resolution. This pixel resolution allows the user to identify features on the ground such as sheds, helipad markings, driveways, car ports, medians, and bike lanes. The entire dataset is available as a 4-band (RGBIR) product which allows the user to display the imagery in natural color (RGB) or color infrared (IRRG). Flight date is in each filename as YYYYMMDD, and each image tile covers one-4th of a USGS Digital Orthophoto Quad (DOQ), resulting in a DOQQ or approximately 16 square miles with minimum 300-meter buffers. All individual tile images are rectified in the UTM coordinate system, NAD 83, and cast into a single predetermined UTM zone. This dataset is also available for download as Compressed County Mosaics (CCMs).

Name: NAIP/NAIP22_NCCIR_60cm

Description: This orthoimagery dataset was acquired by the National Agriculture Imagery Program (NAIP) during the 2022 agricultural growing season and through the spring and summer of 2022 (May 2022 – September 2022), resulting in leaf-on conditions statewide in Texas. The entire dataset is available at 60-cm (2-foot) pixel resolution. This pixel resolution allows the user to identify features on the ground such as sheds, helipad markings, driveways, car ports, medians, and bike lanes. The entire dataset is available as a 4-band (RGBIR) product which allows the user to display the imagery in natural color (RGB) or color infrared (IRRG). Flight date is in each filename as YYYYMMDD, and each image tile covers one-4th of a USGS Digital Orthophoto Quad (DOQ), resulting in a DOQQ or approximately 16 square miles with minimum 300-meter buffers. All individual tile images are rectified in the UTM coordinate system, NAD 83, and cast into a single predetermined UTM zone. This dataset is also available for download as Compressed County Mosaics (CCMs).

Single Fused Map Cache: false

Extent: Initial Extent: Full Extent: Pixel Size X: 0.5999999999999996

Pixel Size Y: 0.5999999999999999

Band Count: 4

Pixel Type: U8

RasterFunction Infos: {"rasterFunctionInfos": [ { "name": "None", "description": "Make a Raster or Raster Dataset into a Function Raster Dataset.", "help": "" }, { "name": "None", "description": "Make a Raster or Raster Dataset into a Function Raster Dataset.", "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: Texas Geographic Information Office, USDA

Service Data Type: esriImageServiceDataTypeGeneric

Min Values: 0, 0, 0, 0

Max Values: 255, 255, 255, 255

Mean Values: 133.37090146723952, 112.11631375775715, 98.12764575366562, 118.8353346920267

Standard Deviation Values: 26.12635293183757, 20.527023594016352, 17.640986503438796, 20.44346826599619

Object ID Field: objectid

Fields: 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: 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