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DISASTERS_EX2602_202405_FLOOD_BRAZIL/ex2602_sentinel2_mndwi (ImageServer)

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Service Description:

Dates of Images:

Post-Event: May 6, 2024

Pre-Event: April 21, 2024

Date of Next Image:

None

Summary:

The Modified Normalized Difference Water Index (mNDWI) provides a different view of the Earth's surface combining different bands to make water bodies more obvious. This index can be used to identify flooded areas as well as heavily saturated areas.

Suggested Use:

For mNDWI, Areas of existing water, such as a rivers or lakes appear in the darkest green with high values near 1, while dry land appears in the darkest brown with low values near -1. This product can be used to identify potentially flooded areas that can be seen in varying shades of green and light brown depending on the amount of moisture picked up by the satellite. Note: Areas of cloud cover will show up in varying shades of green/blue similar to water

Satellite/Sensor:

MultiSpectral Instrument (MSI) on European Space Agency's (ESA) Copernicus Sentinel-2A/2B satellites

Resolution:

10 Meters

Credits:

NASA/MSFC, USGS, ESA Copernicus

Esri REST Endpoint:

See layers below.

WMS Endpoint:

See sublayers.



Name: DISASTERS_EX2602_202405_FLOOD_BRAZIL/ex2602_sentinel2_mndwi

Description:

Dates of Images:

Post-Event: May 6, 2024

Pre-Event: April 21, 2024

Date of Next Image:

None

Summary:

The Modified Normalized Difference Water Index (mNDWI) provides a different view of the Earth's surface combining different bands to make water bodies more obvious. This index can be used to identify flooded areas as well as heavily saturated areas.

Suggested Use:

For mNDWI, Areas of existing water, such as a rivers or lakes appear in the darkest green with high values near 1, while dry land appears in the darkest brown with low values near -1. This product can be used to identify potentially flooded areas that can be seen in varying shades of green and light brown depending on the amount of moisture picked up by the satellite. Note: Areas of cloud cover will show up in varying shades of green/blue similar to water

Satellite/Sensor:

MultiSpectral Instrument (MSI) on European Space Agency's (ESA) Copernicus Sentinel-2A/2B satellites

Resolution:

10 Meters

Credits:

NASA/MSFC, USGS, ESA Copernicus

Esri REST Endpoint:

See layers below.

WMS Endpoint:

See sublayers.



Single Fused Map Cache: false

Extent: Initial Extent: Full Extent: Pixel Size X: 21.52749292076189

Pixel Size Y: 21.52749292076193

Band Count: 1

Pixel Type: F32

RasterFunction Infos: {"rasterFunctionInfos": [ { "name": "mndwi_sentinel2", "description": "blue 1 brown -1", "help": "" }, { "name": "None", "description": "Make a Raster or Raster Dataset into a Function Raster Dataset.", "help": "" } ]}

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: NASA/MSFC, USGS, ESA Copernicus

Service Data Type: esriImageServiceDataTypeGeneric

Min Values: -0.4752291738986969

Max Values: 0.35909873247146606

Mean Values: -0.2922281526931728

Standard Deviation Values: 0.10134686936093873

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   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