Imagery and land cover data

satellite imagery by Jose Reyes, acquired 2026-06-25 to 2026-06-25, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by Robert Howe, acquired 2025-10-03 to 2025-10-04, 3.3 cm per pixel, published on OpenAerialMap.

satellite imagery by Vantor, acquired 2026-06-27 to 2026-06-27, 78.2 cm per pixel, published on OpenAerialMap.

uav imagery by Johannes Andersen, acquired 2026-07-09 to 2026-07-09, 1.0 cm per pixel, published on OpenAerialMap.

uav imagery by Help.NGO, acquired 2025-03-24 to 2025-03-25, 4.4 cm per pixel, published on OpenAerialMap.

uav imagery by Humanitarian OpenStreetMap Team, acquired 2026-07-12 to 2026-07-12, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by Rodolfo Vargas Chile. GEÓGRAFO, acquired 2026-07-14 to 2026-07-14, 5.0 cm per pixel, published on OpenAerialMap.

satellite imagery by Vantor, acquired 2026-06-26 to 2026-06-26, 35.8 cm per pixel, published on OpenAerialMap.

satellite imagery by Netas Ciudadanas, acquired 2026-07-19 to 2026-07-19, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by Robert Howe, acquired 2025-10-03 to 2025-10-04, 2.0 cm per pixel, published on OpenAerialMap.

satellite imagery by Vantor, acquired 2026-07-21 to 2026-07-21, 46.7 cm per pixel, published on OpenAerialMap.

aircraft imagery by Luke, acquired 2026-07-25 to 2026-07-26, 5.0 cm per pixel, published on OpenAerialMap.

satellite imagery by MORADIA LEGAL, acquired 2026-07-02 to 2026-07-02, 4.8 cm per pixel, published on OpenAerialMap.

uav imagery by GIS, acquired 2026-07-29 to 2026-07-30, 2.6 cm per pixel, published on OpenAerialMap.

uav imagery by GIS, acquired 2026-07-29 to 2026-07-30, 2.6 cm per pixel, published on OpenAerialMap.

satellite imagery by GIS, acquired 2026-07-29 to 2026-07-30, 2.6 cm per pixel, published on OpenAerialMap.

satellite imagery by Vantor, acquired 2026-06-30 to 2026-06-30, 56.0 cm per pixel, published on OpenAerialMap.

uav imagery by GIS, acquired 2026-07-29 to 2026-07-30, 2.6 cm per pixel, published on OpenAerialMap.

satellite imagery by Cave Exploration and Research Initiative, acquired 2025-03-30 to 2025-03-31, 3.1 cm per pixel, published on OpenAerialMap.

uav imagery by Adrian Wendland, acquired 2026-08-06 to 2026-08-06, 3.3 cm per pixel, published on OpenAerialMap.

uav imagery by WebODM, acquired 2025-04-04 to 2025-04-04, 13.5 cm per pixel, published on OpenAerialMap.

satellite imagery by castor_tech, acquired 2026-08-13 to 2026-08-14, 5.0 cm per pixel, published on OpenAerialMap.

satellite imagery by Vantor, acquired 2026-08-14 to 2026-08-14, 49.6 cm per pixel, published on OpenAerialMap.

satellite imagery by Vantor, acquired 2026-09-07 to 2026-09-07, 43.4 cm per pixel, published on OpenAerialMap.

satellite imagery by Vantor, acquired 2026-09-08 to 2026-09-08, 52.0 cm per pixel, published on OpenAerialMap.

satellite imagery by Vantor, acquired 2026-06-27 to 2026-06-27, 63.4 cm per pixel, published on OpenAerialMap.

uav imagery by Muungano Wa Wanavijiji-SDI Kenya, acquired 2026-10-12 to 2026-10-13, 4.0 cm per pixel, published on OpenAerialMap.

uav imagery by CODOHSAPA/FEDURP, OSM Sierra Leone, HOT, acquired 2025-04-15 to 2025-04-15, 4.0 cm per pixel, published on OpenAerialMap.

The Sentinel-6 P4 Level 2 Near Real-Time (NRT) product provides low-latency, operational-quality ocean surface data, including sea surface height, wind speed, and wave height measurements. The data are segmented into 10-minute granules per ground station pass and are delivered within three hours of acquisition. The product is optimized for use by meteorological and oceanographic agencies and is provided in NetCDF and BUFR formats.

uav imagery by Clinton Nkolokosa, acquired 2026-10-03 to 2026-10-04, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by SDI Kenya - Muungano wa wanavijiji, acquired 2026-10-12 to 2026-10-13, 4.0 cm per pixel, published on OpenAerialMap.

satellite imagery by Muungano wa Wanavijiji SDI Kenya, acquired 2026-10-14 to 2026-10-15, 4.0 cm per pixel, published on OpenAerialMap.

Date of Image: Pre-Event: August 2024, September 18, 2024 - September 26, 2024 Post-Event: September 27, 2024 - October 11, 2024 Summary: These Black Marble Day-Night Band (BRDF-Corrected) images were created by the NASA Black Marble Science team. The images 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, and show the impact of Hurricane Helene on electric grids in the Southeast US. The baseline image is from August 2024, generated from all daily atmospheric and lunar-corrected data from that month, with additional baselines from September 18-25, 2024, and the “after" image from September 27, 2024. There is a layer to display where clouds are present. This comparison between the images is meant as a visual assessment of outage impacts from Francine 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. 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 SNPP: August 2024 composite, September 18 - 24, 2024, October 1, 2024, October 10, 2024 - October 11, 2024 NOAA-20: September 25 - September 30, 2024, October 2, 2024 - October 9, 2024 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. Esri REST Endpoint: See URL section on right side of page. WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_202409_HURRICANE_HELENE/BLACKMARBLE_BRDF/ImageServer/WMSServer

ArcGIS Image ServiceTime Interval: Annual Climatology Version: 1 Spatial Resolution: 3 km Time Extent: 2004 to 2024 Projection: GCS WGS84 Extent: Regional | Europe Other Formats: OGC WMS, OGC WCS, REST CollectionThis service contains European OT detection climatological statistics averaged Annually. Satellite Mapping and Analysis of Severe Hailstorms (SMASH) ProjectThis Hailstorm research project seeks to address knowledge gaps in the severe hail climatology using regional to global scale satellite observations and provides mechanisms to explore related datasets. For questions/issues please contact: kristopher.m.bedka@nasa.gov

Dates of Images: Pre-Event: 11/4/2024, 11/6/2024, 11/11/2024 Post-Event: 11/16/2024, 11/18/2024, 11/23/2024 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 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. Suggested Use: In the Water Extent images, data is classified from the above imagery shows water, including flooded areas, as blue. Satellite/Sensor: Synthetic Aperture Radar on European Space Agency's (ESA) Copernicus Sentinel-1A satellite Resolution: 20 meters Service URL: https://gis.earthdata.nasa.gov/portal/home/item.html?id=bd843e5aa9a84bca9a7f0181d293a164 WMS Endpoint:  https://gis.earthdata.nasa.gov/portal/services/DISASTERS_202411_TROPICALSTORM_SARA/2430_sentinel1_water/ImageServer/WMSServer

uav imagery by Digital Mapper Indonesia, acquired 2025-06-25 to 2025-06-26, 7.5 cm per pixel, published on OpenAerialMap.