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DISASTERS_202510_HURRICANE_MELISSA/blackmarble_brdf_202511 (ImageServer)

View In:   ArcGIS JavaScript   ArcGIS Enterprise Map Viewer   ArcGIS Earth

Service Description:

Dates of Images:

10/9/2025 - 10/30/2025

Please Note: Images with majority cloud cover are not shown in the Map Viewer, but are available in the service.

Summary:

These Black Marble Day-Night Band (BRDF-Corrected) cloud masks were created by the NASA Black Marble Science team. This is the layer to displaying where clouds are present. This comparison between the images is meant as a visual assessment of outage impacts to aid various partners who are working to deliver emergency aids to local communities. Power outage maps like these help disaster response efforts in the short-term as well as long-term monitoring during the crucial stages of disaster recovery.

Suggested Use:

NASA's Black Marble Nighttime Light product suite is a state-of-the-art daily global collection of standard products for monitoring nighttime lights (NTL). Utilizing the Visible Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) aboard the Suomi-NPP, NOAA-20, and NOAA-21 satellites.

Grey represents cloud cover.

Satellite/Sensor:

Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) onboard the Suomi National Polar-orbiting Platform (SNPP), NOAA-20, and NOAA-21

Resolution:

500 meters

Credits:

NASA Black Marble Science team

Please cite the following two references when using this data:

Román MO, Stokes EC, Shrestha R, Wang Z, Schultz L, Carlo EA, Sun Q, Bell J, Molthan A, Kalb V, Ji C. Satellite-based assessment of electricity restoration efforts in Puerto Rico after Hurricane Maria. PloS one. 2019 Jun 28;14(6):e0218883.

Román MO, Wang Z, Sun Q, Kalb V, Miller SD, Molthan A, Schultz L, Bell J, Stokes EC, Pandey B, Seto KC. NASA's Black Marble nighttime lights product suite. Remote Sensing of Environment. 2018 Jun 1;210:113-43.

Point of Contact:

Ranjay Shrestha

NASA Goddard Space Flight Center

E-mail: ranjay.m.shrestha@nasa.gov

Additional Links:

NASA’s Black Marble Product Suite

Román, M.O. et al. (2019) Satellite-based assessment of electricity restoration efforts in Puerto Rico after Hurricane Maria. PLoS One, 14 (6).

Román, M.O. et al. (2018) NASA’s Black Marble nighttime lights product suite. Remote Sensing of Environment. 210, 113–143.

REST Endpoint:

See URL on the right side of the page.

WMS Endpoint:

https://gis.earthdata.nasa.gov/gis05/services/DISASTERS_202510_FLOOD_AK/BM_BRDF_CLOUD/ImageServer/WMSServer

Name: DISASTERS_202510_HURRICANE_MELISSA/blackmarble_brdf_202511

Description:

Dates of Images:

10/9/2025 - 10/30/2025

Please Note: Images with majority cloud cover are not shown in the Map Viewer, but are available in the service.

Summary:

These Black Marble Day-Night Band (BRDF-Corrected) cloud masks were created by the NASA Black Marble Science team. This is the layer to displaying where clouds are present. This comparison between the images is meant as a visual assessment of outage impacts to aid various partners who are working to deliver emergency aids to local communities. Power outage maps like these help disaster response efforts in the short-term as well as long-term monitoring during the crucial stages of disaster recovery.

Suggested Use:

NASA's Black Marble Nighttime Light product suite is a state-of-the-art daily global collection of standard products for monitoring nighttime lights (NTL). Utilizing the Visible Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) aboard the Suomi-NPP, NOAA-20, and NOAA-21 satellites.

Grey represents cloud cover.

Satellite/Sensor:

Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) onboard the Suomi National Polar-orbiting Platform (SNPP), NOAA-20, and NOAA-21

Resolution:

500 meters

Credits:

NASA Black Marble Science team

Please cite the following two references when using this data:

Román MO, Stokes EC, Shrestha R, Wang Z, Schultz L, Carlo EA, Sun Q, Bell J, Molthan A, Kalb V, Ji C. Satellite-based assessment of electricity restoration efforts in Puerto Rico after Hurricane Maria. PloS one. 2019 Jun 28;14(6):e0218883.

Román MO, Wang Z, Sun Q, Kalb V, Miller SD, Molthan A, Schultz L, Bell J, Stokes EC, Pandey B, Seto KC. NASA's Black Marble nighttime lights product suite. Remote Sensing of Environment. 2018 Jun 1;210:113-43.

Point of Contact:

Ranjay Shrestha

NASA Goddard Space Flight Center

E-mail: ranjay.m.shrestha@nasa.gov

Additional Links:

NASA’s Black Marble Product Suite

Román, M.O. et al. (2019) Satellite-based assessment of electricity restoration efforts in Puerto Rico after Hurricane Maria. PLoS One, 14 (6).

Román, M.O. et al. (2018) NASA’s Black Marble nighttime lights product suite. Remote Sensing of Environment. 210, 113–143.

REST Endpoint:

See URL on the right side of the page.

WMS Endpoint:

https://gis.earthdata.nasa.gov/gis05/services/DISASTERS_202510_FLOOD_AK/BM_BRDF_CLOUD/ImageServer/WMSServer

Single Fused Map Cache: false

Extent:

    XMin: -8844797.3747
    YMin: 1852960.4828448794
    XMax: -7792364.355491927
    YMax: 3230075.350200001
    Spatial Reference: 102100  (3857)  LatestVCSWkid(0)

Initial Extent:
    XMin: -8844797.3747
    YMin: 1852960.4828448794
    XMax: -7792364.355491927
    YMax: 3230075.350200001
    Spatial Reference: 102100  (3857)  LatestVCSWkid(0)

Full Extent:
    XMin: -8844797.3747
    YMin: 1852960.4828448794
    XMax: -7792364.355491927
    YMax: 3230075.350200001
    Spatial Reference: 102100  (3857)  LatestVCSWkid(0)

Pixel Size X: 463.8312116386398

Pixel Size Y: 463.83121163863984

Band Count: 1

Pixel Type: F32

RasterFunction Infos: {"rasterFunctionInfos": [ { "help": "", "name": "None", "description": "Make a Raster or Raster Dataset into a Function Raster Dataset." }, { "help": "", "name": "BlackMarble_BRDF_RFT", "description": "Black Marble BRDF RFT" } ]}

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: USRA/NASA Black Marble Science team

Service Data Type: esriImageServiceDataTypeGeneric

Min Values: 0

Max Values: 3328.13427734375

Mean Values: 0.20284864390284241

Standard Deviation Values: 6.7147335734794531

Object ID Field: objectid

Fields:
  • objectid ( alias: OBJECTID , type: esriFieldTypeOID )
  • name ( length: 200 , alias: Name , type: esriFieldTypeString )
  • minps ( alias: MinPS , type: esriFieldTypeDouble )
  • maxps ( alias: MaxPS , type: esriFieldTypeDouble )
  • lowps ( alias: LowPS , type: esriFieldTypeDouble )
  • highps ( alias: HighPS , type: esriFieldTypeDouble )
  • category ( alias: Category , type: esriFieldTypeInteger , Coded Values: [0: Unknown] , [1: Primary] , [2: Overview] , ...6 more... )
  • tag ( length: 100 , alias: Tag , type: esriFieldTypeString )
  • groupname ( length: 100 , alias: GroupName , type: esriFieldTypeString )
  • productname ( length: 100 , alias: ProductName , type: esriFieldTypeString )
  • centerx ( alias: CenterX , type: esriFieldTypeDouble )
  • centery ( alias: CenterY , type: esriFieldTypeDouble )
  • zorder ( alias: ZOrder , type: esriFieldTypeInteger )
  • date ( alias: Date , type: esriFieldTypeDateOnly )
  • shape ( alias: Shape , type: esriFieldTypeGeometry )
Default Mosaic Method: Northwest

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

SortField:

SortValue: N/A

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