(EXERCISE - DaNCE March 2026) ICEYE US Backscatter over Selected Areas in the Northern US for the Red River Flooding April 2022
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✦ Suggested by OrionAIDate of Image: 4/14/2026, 4/16/2026, 4/18/2026 Summary ICEYE US Backscatter is derived from scaling factors provided with ICEYE Single Look Complex (SLC) and/or Ground Range Detected (GRD) products. In the SLC product all original sensor data is retained and offers full resolution in the azimuth and range directions. Data in the GRD product is oriented in the natural range-azimuth orientation and projected to the ground surface using an Earth ellipsoid mode and may be multi-looked to reduced speckle. The units for this product are decibels (dB). Resolution: Sub 1 meter. Credits NASA Disasters Program, Processing from MSFC, ICEYE US. For derived products: “Includes copyrighted material of ICEYE US. All rights reserved.” This work utilized data made available through the NASA Commercial Satellite Data Acquisition (CSDA) program.
Dates of Images: 5/3/2022, 5/10/2022 Summary: MODIS Global Flood Product, MCDWD, showing flooding observed on 5/3 and 5/10/2022 along the Red river in North Dakota and Manitoba. Product is based on optical imagery from the MODIS sensor, on both Terra and Aqua spacecraft. Observation times are approximately 10:30 am and 1:30 pm local time; flood extents at other times may not be observed. The 2-day composite product is delivered here; this uses observations from the given date and one day previous (eg 5/2 and 5/3 for the 5/3 product). For this event, 5/3 product was the first available after the clouds cleared, and the 2-day product shows reasonable flood coverage. The 1-day product shows more coverage, but also more false-positives; it may be of interest to some users. One week later, much of the flooding persisted (5/10). Caveats: Flooding is determined by comparing observed water extent to a reference water map, which may be inaccurate in fine details; some "flood" may be expected surface water, and some "surface water" may actually be flood, but both indicate areas where water was detected. The 2-day product has many fewer cloud-shadow false-positives than 1-day products, but these may still occur. Users are advised to review the source optical imagery (Terra and Aqua) in Worldview to confirm (https://go.nasa.gov/globalflood). Worldview also hosts the 2- and 3-day composite products, and allows rapid examination of all daily products. At 250 m resolution, this product will not reliably capture flood extents smaller than 250 m. As this is optical imagery, flooding under clouds will not be detected. Suggested Use: Red in the displayed image indicates flood; blue indicates expected surface water. Satellite/Sensor/Resolution: Terra and Aqua satellites, MODIS sensor, daily 250m resolution data (10:30 am observation for Terra, 1:30 pm for Aqua) Credits: NRT MODIS/Aqua+Terra Global Flood Product MCDWD_L3_NRT distributed from NASA LANCE. Available online [https://www.earthdata.nasa.gov/global-flood-product]. doi:10.5067/MODIS/MCDWD_L3_NRT.061 Project website includes FAQs and contacts for support: https://www.earthdata.nasa.gov/global-flood-product
Date of Images: Post-Event: May 3, 2022-May 12, 2022 (Daily) Pre-Event: April 2022 (Composite) Summary: These Black Marble Day-Night Band (BRDF-Corrected) images were created by the NASA Black Marble Science team. The images are corrected for atmospheric, terrain, lunar BRDF, and straylight effects, and directly measures light intensity on the ground in units of nanowatts/(steradian centimeter squared). The images are scaled from 0 - 30. The baseline image is from September 2025, generated from all daily atmospheric and lunar-corrected data from that month. There is a layer to display 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. The image is in inferno color scale. Yellow represents presence of more light; dark blue less lights. Observations may be obscured by total or partial cloud cover. Other factors such as snow reflectance, moon phase, wildfires, and wildfire smoke may distort light radiance and require further analysis when assessing power outages. 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: 15 arc-second (~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. Service URL: See REST Endpoint on the right. WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_EX2603_202205_FLOOD_MN/ex2603_blackmarble_brdf/ImageServer/WMSServer
Dates of Images: 9/19/2018 Date of Next Image: Varies by region, typically 12 days since previous pass. Set time slider to most recent interval and click on area of interest to identify date of last pass. Summary: The Alaska Satellite Facility has developed false color Red, Green, Blue (RGB) and Radiometrically Terrain-Correct (RTC) composites and surface water extent products of the Sentinel-1A/B Synthetic Aperture Radar (SAR) instrument which assigns the co- and cross-polarization information to a channel in the composite. When used to support a flooding event, areas in blue denotes water present at the time of the satellite overpass before or after the start of the flooding event. Sentinel-1 RGB Decomposition of RTC VV and VH imagery over United States coastlines. Blue areas have low returns in VV and VH (smooth surfaces such as calm water, but also frozen/crusted soil or dry sand), Green areas have high returns in VH (volume scatterers such as vegetation or some types of snow/ice), and Red areas have relatively high VV returns and relatively low VH returns (such as urban or sparsely vegetated areas). To identify the date of an image either set the time slider to a 1 day interval or zoom in to AOI, set time slider to desired range and click on the imagery. The name will contain a full date and time in a format like this example: S1A_IW_20210705T231453_DVR_RTC30_G_gpufed_27F4 The date and time would be 07/05/2021 at 23:14:53 UTC. Additional SAR Information Suggested Use: In this image, water appears in blue, vegetated areas in shades of green and urban areas in bright orange. It is recommended to use this product with ancillary information to derive flooded areas. Satellite/Sensor: Synthetic Aperture Radar on European Space Agency's (ESA) Copernicus Sentinel-1A/B satellite NOTE: Sentinel-1B is no longer acquiring data and is only available into December 2021 Resolution: 30 meters Credits: Sentinel data used in this derived product, contains modified Copernicus Sentinel data (2019-2022), processed by ESA, Alaska Satellite Facility. Esri REST Endpoint: See URL to the bottom right. WMS Endpoint:
Date of Images: Post-Event: May 3, 2022-May 12, 2022 (Daily) Pre-Event: April 2022 (Composite) Summary: These Black Marble Day-Night Band (BRDF-Corrected) images were created by the NASA Black Marble Science team. The images are corrected for atmospheric, terrain, lunar BRDF, and straylight effects, and directly measures light intensity on the ground in units of nanowatts/(steradian centimeter squared). The images are scaled from 0 - 30. The baseline image is from September 2025, generated from all daily atmospheric and lunar-corrected data from that month. There is a layer to display 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. The image is in inferno color scale. Yellow represents presence of more light; dark blue less lights. Observations may be obscured by total or partial cloud cover. Other factors such as snow reflectance, moon phase, wildfires, and wildfire smoke may distort light radiance and require further analysis when assessing power outages. 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: 15 arc-second (~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. Service URL: See REST Endpoint on the right. WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_EX2603_202205_FLOOD_MN/ex2603_blackmarble_brdf_cloud/ImageServer/WMSServer
Dates of Images: August 13, 2026 Date of Next Image: Varies by region, typically 12 days since previous pass. Summary: Watermap Extent products generated by ASF from Sentinel-1 SAR imagery using the HydroSAR Hydro30 workflow. Pixel values of 1 indicate surface water, 0 is used for non-water pixels. These products have been validated in the Hindu Kush Himalayan region, but not elsewhere. Use caution when viewing these products in unvalidated areas. Refer to https://ntrs.nasa.gov/citations/20210020271 for more information. Additional SAR Information Suggested Use:In this image, water appears in red. It is recommended to use this product with ancillary information to derive flooded areas. Satellite/Sensor: Synthetic Aperture Radar on European Space Agency's (ESA) Copernicus Sentinel-1C/D satellite Resolution:30 meters Credits: Sentinel data used in this derived product, contains modified Copernicus Sentinel data (2019-2022), processed by ESA, Alaska Satellite Facility. Esri REST Endpoint: Surface Water Extent Product:https://gis.earthdata.nasa.gov/portal/rest/services/DISASTERS_202608_FLOOD_OH/202620_sentinel1_hydrosar/ImageServer
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