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Sentinel/Sentinel2A_CR (ImageServer)

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Service Description: Sentinel/Sentinel2A_CR

Name: Sentinel/Sentinel2A_CR

Description:

Single Fused Map Cache: false

Extent: Initial Extent: Full Extent: Pixel Size X: 10.0

Pixel Size Y: 10.0

Band Count: 13

Pixel Type: U16

RasterFunction Infos: {"rasterFunctionInfos": [ { "help": "", "name": "Agriculture with DRA", "description": "Bands shortwave IR-1, near-IR, blue (11, 8, 2) with dynamic range adjustement applied on apparent reflectance. Vigorous veg. is bright green, stressed veg. dull green and bare areas as brown." }, { "help": "", "name": "Bathymetric with DRA", "description": "Bands red, green, coastal/aerosol(4, 3, 1) with Dynamic Range Adjustment applied on apparent reflectance. Useful bathymetric mapping applicaitons." }, { "help": "", "name": "Color Infrared with DRA", "description": "Bands near-infrared, red, green (8, 4, 3) with dynamic range adjustement applied on apparent reflectance. Healthy vegetation is bright red while stressed vegetation is dull red." }, { "help": "", "name": "Geology with DRA", "description": "Bands shortwave IR-1, near-IR, blue (12, 11, 2) with dynamic range adjustement applied on apparent reflectance. Vigorous veg. is bright green, stressed veg. dull green and bare areas as brown." }, { "help": "", "name": "Natural Color with DRA", "description": "Natural Color bands red, green, blue (4, 3, 2) displayed with dynamic range adjustement applied on apparent reflectance." }, { "help": "", "name": "NDVI Colorized", "description": "Normalized difference vegetation index (NDVI) with color map. Dark green is thick vigorous vegetation and brown represents sparse vegetation." }, { "help": "", "name": "NDVI Raw", "description": "Normalized difference vegetation index (NDVI) computed as (b5 - b4) / (b5 + b4) on apparent reflectance" }, { "help": "", "name": "None", "description": "Make a Raster or Raster Dataset into a Function Raster Dataset." } ]}

Mensuration Capabilities: None

Inspection Capabilities:

Has Histograms: true

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text:

Service Data Type: esriImageServiceDataTypeGeneric

Min Values: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

Max Values: 11328, 11196, 11489, 11861, 12299, 12500, 12794, 12837, 12926, 16562, 12346, 11937, 11937

Mean Values: 1330.2278953001257, 1416.1944348300817, 1639.4778212952042, 1615.4163972128094, 2058.1160590673094, 3020.6183076783723, 3324.3162492029546, 3445.8852149558379, 3551.1576259221761, 3593.1437722013893, 2798.0409474908088, 2152.8475134347818, 2152.8475134347818

Standard Deviation Values: 524.16837836465083, 507.62699972227603, 486.05363814309197, 516.77192008251347, 525.47594717966001, 595.88701978984204, 638.45329566208841, 650.86400955381839, 649.98522263686107, 761.17352105217276, 646.8341982734255, 622.85889929799328, 622.85889929799328

Object ID Field: OBJECTID

Fields: Default Mosaic Method: ByAttribute

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

SortField: AcquisitionDate

SortValue: 2050/1/1

Mosaic Operator: First

Default Compression Quality: 85

Default Resampling Method: Bilinear

Max Record Count: 2000

Max Image Height: 4000

Max Image Width: 4000

Max Download Image Count: 50

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: N/A

Ownership Based AccessControl For Rasters: N/A

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