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Service Description: Sentinel-2, 10, 20 and 60m Multispectral, Multitemporal, 13-band images with visual renderings and indices. This image service is sourced from the Sentinel-2 on AWS collections, is updated daily with new imagery, and consists of imagery collected within the past 14 months. This service can be applied across a number of industries, scientific disciplines, and management practices. Some applications include, but are not limited to, land cover and environmental monitoring, climate change, deforestation, disaster and emergency management, national security, plant health and precision agriculture, forest monitoring, watershed analysis and runoff predictions, land-use planning, tracking urban expansion, highlighting burned areas and estimating fire severity. For more information visit us Online.

Name: Sentinel2

Description: Sentinel-2, 10, 20 and 60m Multispectral, Multitemporal, 13-band images with visual renderings and indices. This image service is sourced from the Sentinel-2 on AWS collections, is updated daily with new imagery, and consists of imagery collected within the past 14 months. This service can be applied across a number of industries, scientific disciplines, and management practices. Some applications include, but are not limited to, land cover and environmental monitoring, climate change, deforestation, disaster and emergency management, national security, plant health and precision agriculture, forest monitoring, watershed analysis and runoff predictions, land-use planning, tracking urban expansion, highlighting burned areas and estimating fire severity. For more information visit us Online.

Single Fused Map Cache: false

Extent:

XMin: -2.00372086216E7
YMin: -1.0100722918799996E7
XMax: 2.00372113784E7
YMax: 1.2121837081200004E7
Spatial Reference: 102100  (3857)

Initial Extent:

XMin: -2.00372086216E7
YMin: -1.0100722918799996E7
XMax: 2.00372113784E7
YMax: 1.2121837081200004E7
Spatial Reference: 102100  (3857)

Full Extent:

XMin: -2.00372086216E7
YMin: -1.0100722918799996E7
XMax: 2.00372113784E7
YMax: 1.2121837081200004E7
Spatial Reference: 102100  (3857)

Time Info:

Start Time Field: acquisitiondate
End Time Field: acquisitiondate
Time Extent:
[2015/05/01 00:00:00 UTC, 2024/09/06 02:45:52 UTC]

Time Reference: N/A

Pixel Size X: 10.0

Pixel Size Y: 10.0

Band Count: 13

Pixel Type: U16

RasterFunction Infos: {"rasterFunctionInfos": [ { "name": "Natural Color with DRA", "description": "Natural Color bands red, green, blue (4, 3, 2) displayed with dynamic range adjustment applied.", "help": "" }, { "name": "Agriculture with DRA", "description": "Bands shortwave IR-1, near-IR, blue (11, 8, 2) with dynamic range adjustment applied. 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. Useful in bathymetric mapping applicaitons.", "help": "" }, { "name": "Color Infrared with DRA", "description": "Bands near-infrared, red, green (8,4,3) with dynamic range adjustment applied. Healthy vegetation is bright red while stressed vegetation is dull red.", "help": "" }, { "name": "Short-wave Infrared with DRA", "description": "Bands shortwave infrared-2, shortwave infrared-1, red (12, 11, 4) with dynamic range adjustment applied.", "help": "" }, { "name": "Geology with DRA", "description": "Bands shortwave IR-2, shortwave IR-1, blue (12, 11, 2) with dynamic range adjustment applied. Highlights geological features.", "help": "" }, { "name": "Natural Color", "description": "Natural Color bands red, green, blue(4, 3, 2) displayed with fixed stretch applied.", "help": "" }, { "name": "Agriculture", "description": "Bands shortwave IR-1, near-IR, blue (11,8,2) with fixed stretched applied. Vigorous vegetation is bright green, stressed vegetation dull green and bare areas as brown.", "help": "" }, { "name": "Bathymetric", "description": "Bands red, green, coastal/aerosol(4, 3, 1) with fixed stretched applied. Useful in bathymetric mapping applicaitons.", "help": "" }, { "name": "Geology", "description": "Bands shortwave IR-2, shortwave IR-1, blue (12, 11, 2) with fixed stretched applied. Highlights geological features.", "help": "" }, { "name": "Short-wave Infrared", "description": "Bands shortwave infrared-2, shortwave infrared-1, red (12, 11, 4) with fixed stretch.", "help": "" }, { "name": "Color Infrared", "description": "Bands near-infrared, red, green (8,4,3) with fixed stretch applied. Healthy vegetation is bright red while stressed vegetation is dull red.", "help": "" }, { "name": "NDVI Colormap", "description": "Normalized difference vegetation index (NDVI) with colormap. Dark green represents vigorous vegetation and brown represents sparse vegetation. It is computed as (b8 - b4) / (b8 + b4) and is suitable for vegetation, land cover and plant health monitoring.", "help": "" }, { "name": "NDMI Colorized", "description": "Normalized Difference Moisture Index with color map. Wetlands and moist areas appear blue whereas dry areas are represented by deep yellow and brown color. It is computed as NIR(B8)-SWIR1(B11)/NIR(B8)+SWIR1(B11).", "help": "" }, { "name": "Normalized Burn Ratio", "description": "The NBR index is computed as NIR(Band08)-SWIR(Band12)/NIR(Band08)+SWIR(Band12) and appropriate for highlighting burned areas and estimating fire severity. It highlights burnt areas in fire zones greater than 500 acres. You will need to generate a differenced NBR image by subtracting a post-fire image from a pre-fire image. The resulting darker pixels represent burned areas.", "help": "" }, { "name": "Normalized Difference Built-Up Index (NDBI)", "description": "The NDBI index is computed as SWIR(Band11)-NIR(Band08)/ SWIR(Band11)+NIR(Band08) and is suitable for watershed runoff predictions, tracking urbananisation and land-use planning. It highlights urban areas with higher reflectance in the SWIR region, compared to the NIR region.", "help": "" }, { "name": "NDVI Raw", "description": "Normalized difference vegetation index (NDVI) computed as (b8 - b4) / (b8 + b4) and is suitable for vegetation, land cover and plant health monitoring.", "help": "" }, { "name": "NDVI - VRE only Raw", "description": "The NDVI - VRE only (NDVI705) Raw index is computed as VRE(Band06)-VRE(Band05)/VRE(Band06)+VRE(Band05) and is most suitable for precision agriculture, forest monitoring and vegetation stress detection. This index is an alteration of the NDVI index and unlike the NDVI index which uses bands from the main absorption and reflectance peaks, this index uses the bands along the red edge. The VRE bands are very sensitive to minor changes in canopy foliage content, gap fraction and deterioration.", "help": "" }, { "name": "NDVI - with VRE Raw", "description": "The NDVI - with VRE(NDRE) Raw index is computed as NIR(Band08)-VRE(Band05)/NIR(Band08)+VRE(Band05), also known as NDRE (Normalized Difference Red Edge) and is more appropriate than NDVI index for intensive management applications throughout the growing season. It is a modification of the NDVI index, however works as a better measure of vegetation health than NDVI especially for mid-late season crops that have elevated levels of chlorophyll because VRE bands are more translucent to leaves than red light and hence is seldom completely absorbed by a canopy.", "help": "" }, { "name": "NDWI Raw", "description": "The NDWI index is computed as Green(Band03)-NIR(Band08)/ Green(Band03)+NIR(Band08) and is most suitable for mapping of water bodies, droughts, boundary evaluation. Water bodies have strong absorbability and low radiation within the visible to infrared spectral ranges and this index is based on this phenomenon.", "help": "" }, { "name": "NDWI - with VRE Raw", "description": "The NDWI - with VRE Raw index is computed as Green(Band03)-VRE(Band05)/Green(Band03)+VRE(Band05) and is most suitable for mapping of water bodies, droughts, boundary evaluation. This index is an alteration of the NDWI index and unlike the NDWI index which uses the NIR band, this index uses VRE band05 along the red edge.", "help": "" }, { "name": "None", "description": "Make a Raster or Raster Dataset into a Function Raster Dataset.", "help": "" } ]}

Mensuration Capabilities: Basic

Has Histograms: false

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text: Source: Esri, European Commission, European Space Agency, Amazon Web Services

Service Data Type: esriImageServiceDataTypeGeneric

Min Values: N/A

Max Values: N/A

Mean Values: N/A

Standard Deviation Values: N/A

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... )
• productname ( type: esriFieldTypeString, alias: productname, length: 100 )
• shape ( type: esriFieldTypeGeometry, alias: shape )
• acquisitiondate ( type: esriFieldTypeDate, alias: acquisitiondate, length: 8 )
• cloudcover ( type: esriFieldTypeDouble, alias: cloudcover )
• tileurl ( type: esriFieldTypeString, alias: tileurl, length: 100 )
• tile_id ( type: esriFieldTypeString, alias: tile_id, length: 30 )
• tilename ( type: esriFieldTypeString, alias: tilename, length: 6 )
• q ( type: esriFieldTypeInteger, alias: q )
• best ( type: esriFieldTypeInteger, alias: best )
• datatype_format ( type: esriFieldTypeString, alias: datatype_format, length: 15 )
• datastripid ( type: esriFieldTypeString, alias: DataStripID, length: 90 )
• syncdatetime ( type: esriFieldTypeDate, alias: SyncDateTime, length: 8 )
• scene_cloud ( type: esriFieldTypeDouble, alias: Scene_Cloud )
• dateupdated ( type: esriFieldTypeInteger, alias: DateUpdated )
• recenttiles ( type: esriFieldTypeString, alias: recenttiles, length: 10 )

Default Mosaic Method: ByAttribute

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

SortField: best

SortValue: 0

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: false

Allow Analysis: true

Allow Compute TiePoints: false

Supports Statistics: true

Supports Advanced Queries: true

Use StandardizedQueries: true

Raster Type Infos:

Name: Raster Dataset
Description: Supports all ArcGIS Raster Datasets
Help:

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