Imagery/Orthoimagery_2020_2023 (ImageServer)

View In: ArcGIS JavaScript ArcGIS Online Map Viewer ArcGIS Earth ArcMap

View Footprint In: ArcGIS Online Map Viewer

Service Description:

NOTE: DO NOT DOWNLOAD THE IMAGERY BY USING THE MAP OR DOWNLOAD TOOLS ON THIS ARCGIS HUB ITEM PAGE. IT WILL RESULT IN A PIXELATED ORTHOIMAGE. INSTEAD, DOWNLOAD THE IMAGERY BY TILE OR BY COUNTY MOSAIC (2010 - current year).

The NC Orthoimagery Program collects and produces 6-inch (15cm) orthoimagery on a 4-year cycle. Approximately a quarter of the state is flown each year to develop streaming imagery services, 5,000' by 5,000' tiles, and compressed single-file county mosaics. Beginning in 2020, the State started collecting a fourth band (near infrared) of imagery which, when combined with the other 3 bands of red, green, and blue, opens new possibilities for exploration and analysis. Get more information about the program at https://nconemap.gov/pages/imagery

This service contains 3-band, natural color imagery collected by the NC Orthoimagery Program for any given area of North Carolina between 2020 and 2023. The imagery has a pixel resolution of 6 inches with an RMSE of 1.0 ft X and Y. Individual pixel values may have been altered during image processing. Therefore, this service should be used for general reference and viewing. Image analysis requiring examination of individual pixel values is discouraged.

Name: Imagery/Orthoimagery_2020_2023

Description:

Single Fused Map Cache: false

Extent:

Initial Extent:

Full Extent:

Pixel Size X: 0.5

Pixel Size Y: 0.5

Band Count: 3

Pixel Type: U8

RasterFunction Infos: {"rasterFunctionInfos": [{ "name": "None", "description": "", "help": "" }]}

Mensuration Capabilities: Basic

Has Histograms: true

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text: NCCGIA, NC 911 Board

Service Data Type: esriImageServiceDataTypeProcessed

Min Values: 0, 0, 0

Max Values: 255, 255, 255

Mean Values: 96.62818789560475, 95.87998065645877, 81.28552409961866

Standard Deviation Values: 47.14893884092251, 41.74768337648726, 36.73836789478405

Object ID Field: objectid

Fields:

objectid ( type: esriFieldTypeOID, alias: objectid )
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 )
date ( type: esriFieldTypeDate, alias: Date, length: 8 )
shape ( type: esriFieldTypeGeometry, alias: shape )
st_area(shape) ( type: esriFieldTypeDouble, alias: st_area(shape) )
st_perimeter(shape) ( type: esriFieldTypeDouble, alias: st_perimeter(shape) )

Default Mosaic Method: ByAttribute

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

SortField: date

SortValue: 3000/01/01

Mosaic Operator: First

Default Compression Quality: 80

Default Resampling Method: Bilinear

Max Record Count: 1000

Max Image Height: 4100

Max Image Width: 15000

Max Download Image Count: 10

Max Mosaic Image Count: 20

Allow Raster Function: true

Allow Copy: true

Allow Analysis: false

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 Measure Compute Histograms Compute Statistics Histograms Get Samples Compute Class Statistics Query Boundary Compute Pixel Location Compute Angles Validate Project