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Aerial_Photography/Sac_Valley_Aug2025_Sentinel2_10meter_NIR (ImageServer)

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Service Description:

The 2025 Sentinel Mosaiced image consists of multispectral stacked potions of the following Sentinel-2 tiles: L2A_T10SEH_A004945_20250816T185949, L2A_T10SEJ_A004945_20250816T185949, L2A_T10SFH_A004945_20250816T185949, L2A_T10SFJ_A004945_20250816T185949, L2A_T10TEK_A004945_20250816T185949, L2A_T10TFK_A004945_20250816T185949. Each stacked tile contains the Sentinel-2 band 4: Red (665nm), band 3: Green (560nm), band 2: Blue (492nm) and band 8: Near-Infrared (833nm) 10 meter resolution bands. When stacked the bands were reordered in ArcGIS Pro, Red was assigned to Band 1, Green was assigned to band 2, Blue was assigned to band 3, and Near-Infrared was assigned to band 4 in the multispectral image. Once the multi-spectral image was stacked and mosaiced together, the Mosaiced image was clipped to the outer dissolved boundary of the following Detailed Analysis Unit (DAU) by County: 16604, 16704, 16804, 17004, 14211, 16311, 16411, 16611, 16711, portion of 16058, 17158, 17258, 16306, 16406, 16706, 16451, 16551, 16651, 16851, 17151, 17251, 16257, 16357, 16457, 18657, 19157, 17231, 17234. These DAUs by County areas make up a large portion of the Sacramento Valley. The Sentinel-2 Imagery is a product of the European Commission’s (EC) Copernicus program and the European Space Agency (ESA) and is processed into Image Tiles for scientific usage. The Sentinel-2 Imagery Tiles are available to download from the Copernicus Browser https://browser.dataspace.copernicus.eu/. For more information on the Sentinel Imagery Tiles go to https://dataspace.copernicus.eu/ or the USGS write up on Sentinel 2 Imagery at https://www.usgs.gov/centers/eros/science/usgs-eros-archive-sentinel-2?qt-science_center_objects=0#qt-science_center_objects.



Name: Aerial_Photography/Sac_Valley_Aug2025_Sentinel2_10meter_NIR

Description:

Single Fused Map Cache: false

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

Pixel Size Y: 10.0

Band Count: 4

Pixel Type: U16

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

Mensuration Capabilities: Basic

Inspection Capabilities:

Has Histograms: true

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text: The European Commission (EC), European Space Agency (ESA), United States Geological Survey (USGS) California Department of Water Resources (DWR) State Water Project Analysis Office (SWPAO), Jason Harbaugh, Environmental Scientist at DWR North Central Region Office (NCRO).

Service Data Type: esriImageServiceDataTypeGeneric

Min Values: 0, 0, 0, 0

Max Values: 18208, 19216, 20928, 17136

Mean Values: 2214.2104540374125, 1999.0031229414922, 1617.257536059682, 4136.811070601348

Standard Deviation Values: 816.9687254724075, 486.8065642429419, 423.02289166668584, 919.5601073698625

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   Measure   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