ArcGIS REST Services Directory Login
Home > services > Imagery > Aerial_Color_2023_RGB (ImageServer) API Reference
JSON | SOAP | WMTS

Imagery/Aerial_Color_2023_RGB (ImageServer)

View In:   ArcGIS JavaScript   ArcGIS Online Map Viewer   ArcGIS Earth

Service Description:

The dataset consists of tiled orthogonal imagery produced from nadir images captured by Pictometry International. Automatic aerial triangulation (AAT) was performed. The triangulated frames were rectified to a DEM. Mosaicking was performed using an automatic seaming algorithm and manually edited to eliminate seams through elevated features where possible. Imagery captured from 2023-11-24 through 2024-03-13



Name: Imagery/Aerial_Color_2023_RGB

Description:

The dataset consists of tiled orthogonal imagery produced from nadir images captured by Pictometry International. Automatic aerial triangulation (AAT) was performed. The triangulated frames were rectified to a DEM. Mosaicking was performed using an automatic seaming algorithm and manually edited to eliminate seams through elevated features where possible. Imagery captured from 2023-11-24 through 2024-03-13



Single Fused Map Cache: true

Tile Info: Storage Info: Extent: Initial Extent: Full Extent: Pixel Size X: 0.07620015240030481

Pixel Size Y: 0.07620015240030481

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": "CIR - False Color Composite", "description": "Bands 4, 1, 2 displayed with a standard deviation stretch of 2", "help": "" }, { "name": "Green Normalized Difference Vegetation Index", "description": "The Green Normalized Difference Vegetation Index (GNDVI) method is a vegetation index for estimating photo synthetic activity and is a commonly used vegetation index to determine water and nitrogen uptake into the plant canopy.", "help": "GNDVI = (NIR-Green)/(NIR+Green)\n\nReference: Buschmann, C., and E. Nagel. 1993. \"In vivo spectroscopy and internal optics of leaves as basis for remote sensing of vegetation,\" International Journal of Remote Sensing, Vol. 14, 711\u2013722." }, { "name": "Modified Soil Adjusted Vegetation Index", "description": "The Modified Soil Adjusted Vegetation Index (MSAVI2) method minimizes the effect of bare soil on the SAVI.", "help": "MSAVI2 = (1/2)*(2(NIR+1)-sqrt((2*NIR+1)2-8(NIR-Red)))\n\nReference: Qi, J. et al., 1994, \"A modified soil vegetation adjusted index,\" Remote Sensing of Environment, Vol. 48, No. 2, 119\u2013126." }, { "name": "Modified Triangular Vegetation Index", "description": "The Modified Triangular Vegetation Index (MTVI2) method is a vegetation index for detecting leaf chlorophyll content at the canopy scale while being relatively insensitive to leaf area index. It uses reflectance in the green, red, and NIR bands.", "help": "MTVI2 = [1.5(1.2(NIR-Green)-2.5(Red-Green))√((2NIR+1)²-(6NIR-5√(Red))-0.5)]\n\nReference: Haboudane, D., Miller, J.R., Tremblay, N., Zarco-Tejada, P.J., Dextraze, L., 2002. \"Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture,\" Remote Sensing of Environment, Vol. 81, 416\u2013426." }, { "name": "Normalized Difference Water Index", "description": "The Normalized Difference Water Index (NDWI) method is an index for delineating and monitoring content changes in surface water. It is computed with the NIR and green bands. ", "help": "NDWI = (Green - NIR) / (Green + NIR)\n\nReference: McFeeters, S., 1996. \"The Use of Normalized Difference Water Index (NDWI) in the Delineation of Open Water Features.\" International Journal of Remote Sensing, 17, 1425-1432. " }, { "name": "NDVI Colorized", "description": "4-Band Imagery (RGB+NIR) displayed as a Colorized NDVI image", "help": "" }, { "name": "Simple Ratio", "description": " The Simple Ratio (SR) method is a common vegetation index for estimating the amount of vegetation. It is the ratio of light scattered in the NIR and absorbed in red bands, which reduces the effects of atmosphere and topography.\n\nValues are high for vegetation with a large leaf area index, or high canopy closure, and low for soil, water, and nonvegetated features. The range of values is from 0 to approximately 30, where healthy vegetation generally falls between values of 2 to 8.", "help": "SR = NIR / Red\n\nReference: Birth, G.S., and G.R. McVey, 1968. \"Measuring color of growing turf with a reflectance spectrophotometer,\" Agronomy Journal Vol. 60, 640-649." } ]}

Mensuration Capabilities: None

Inspection Capabilities:

Has Histograms: false

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 5.91657527591555E8

Max Scale: 70.5310735

Min LOD: 0

Max LOD: 23

Copyright Text:

Service Data Type: esriImageServiceDataTypeGeneric

Min Values: 0, 0, 0, 0

Max Values: 255, 255, 255, 255

Mean Values: 0, 0, 0, 0

Standard Deviation Values: -1, -1, -1, -1

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: 10000

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: 50

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   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   EstimateExportTilesSize   ExportTiles