ArcGIS REST Services Directory Login
JSON | SOAP | WMS

DISASTERS_EX2601_201809_HURRICANE_FLORENCE/ex2601_sentinel2_ndvi (ImageServer)

View In:   ArcGIS JavaScript   ArcGIS Online Map Viewer   ArcGIS Earth

Service Description:

Dates of Images:

Post-Event: September 18, 2018

Pre-Event: August 29, 2018

Date of Next Image:

None

Summary:

The dynamically generated Normalized Difference Vegetation Index (NDVI) layer is an index for quantifying green vegetation. It reflects the state of vegetation health based on how vegetation reflects light at certain wavelengths.

Suggested Use:

Dark green colors are areas with a lot of green leaf growth which indicates the presence of chlorophyll. Chlorophyll reflects more infrared light and less visible light. Areas with some green leaf growth are in light greens, and areas with little to no vegetation growth are even lighter greens.

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

REST Endpoint:

See URL on the right.

WMS Endpoint:

https://gis.earthdata.nasa.gov/gis05/services/DISASTERS_202503_SEVEREWX_SOUTHEASTUS/202504_sentinel2/ImageServer/WMSServer



Name: DISASTERS_EX2601_201809_HURRICANE_FLORENCE/ex2601_sentinel2_ndvi

Description:

Dates of Images:

Post-Event: September 18, 2018

Pre-Event: August 29, 2018

Date of Next Image:

None

Summary:

The dynamically generated Normalized Difference Vegetation Index (NDVI) layer is an index for quantifying green vegetation. It reflects the state of vegetation health based on how vegetation reflects light at certain wavelengths.

Suggested Use:

Dark green colors are areas with a lot of green leaf growth which indicates the presence of chlorophyll. Chlorophyll reflects more infrared light and less visible light. Areas with some green leaf growth are in light greens, and areas with little to no vegetation growth are even lighter greens.

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

REST Endpoint:

See URL on the right.

WMS Endpoint:

https://gis.earthdata.nasa.gov/gis05/services/DISASTERS_202503_SEVEREWX_SOUTHEASTUS/202504_sentinel2/ImageServer/WMSServer



Single Fused Map Cache: false

Extent: Initial Extent: Full Extent: Pixel Size X: 3.0

Pixel Size Y: 3.0

Band Count: 1

Pixel Type: F32

RasterFunction Infos: {"rasterFunctionInfos": [ { "name": "ndvi_green", "description": "ndvi green gradient 0-1", "help": "" }, { "name": "ndvi", "description": "ndvi", "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, NWS, NOAA

Service Data Type: esriImageServiceDataTypeGeneric

Min Values: -0.3002113103866577

Max Values: 0.7213685512542725

Mean Values: 0.3132477475393339

Standard Deviation Values: 0.2284973160921707

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