Imagery and land cover data

ArcGIS Image ServiceTime Interval: Seasonal Climatology With Hourly Timesteps Version: 1 Spatial Resolution: 3 km Time Extent: 2015 to 2025 (Dec-Feb, Mar-May, Jun-Aug, Sep-Nov) (With 24 Hours) Projection: GCS WGS84 Extent: Regional | Australia Other Formats: OGC WMS, OGC WCS, REST CollectionThis collection contains Australian IR detection climatological diurnal statistics averaged over: Dec-Feb, Mar-May, Jun-Aug, Sep-Nov 2015-2025 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

uav imagery by CIDI FADA- Guillermo Britez, acquired 2025-05-08 to 2025-05-09, 2.4 cm per pixel, published on OpenAerialMap.

ArcGIS Image ServiceTime Interval: Seasonal Climatology With Hourly Timesteps Version: 1 Spatial Resolution: 3 km Time Extent: 2004 to 2024 (Dec-Feb, Mar-May, Jun-Aug, Sep-Nov) (With 24 Hours) Projection: GCS WGS84 Extent: Regional | Europe Other Formats: OGC WMS, OGC WCS, REST CollectionThis collection contains European CTH detection climatological diurnal statistics averaged over: Dec-Feb, Mar-May, Jun-Aug, Sep-Nov 2004-2024 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

uav imagery by Freetown Drone Club, acquired 2025-04-15 to 2025-04-15, 4.0 cm per pixel, published on OpenAerialMap.

ArcGIS Image ServiceTime Interval: Monthly With Hourly Timesteps Version: 1 Spatial Resolution: 3 km Time Extent: 2015-07-15 to 2025-06-15 Projection: GCS WGS84 Extent: Regional | Australia Other Formats: OGC WMS, OGC WCS, REST CollectionThis collection provides monthly with hourly timesteps gridded overshooting cloud top detection, specifically the Anvil Cloud Days/Month over Australia. 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

uav imagery by NYenvironcom , acquired 2026-07-08 to 2026-07-08, 2.7 cm per pixel, published on OpenAerialMap.

Date of Images: Post-Event: 2/7/2023, 2/9/2023, 2/11/2023, 2/12/2023, 2/14/2023, 2/16/2023, 2/17/2023, 2/19/2023, 2/21/2023, 2/22/2023, 2/24/2023 Pre-Event: 12/28/2022, 1/10/2023, 1/22/2023, 1/25/2023, 1/28/2023 Date of Next Image: Unknown Summary: The True Color RGB composite provides a product of how the surface would look to the naked eye from space. The RGB is created using the red, green, and blue channels of the respective instrument. The Natural Color RGB provides a false composite look at the surface. This RGB uses a shortwave, the near-infrared, and red channels from the instrument. Suggested Use: The True Color RGB provides a product of how the surface would look to the naked eye from space and may show damage caused by severe weather. The True Color RGB is produced using the 3 visible wavelength bands (red, green, and blue) from the respective sensor. Some minor atmospheric corrections have occurred. For the Natural Color RGB, areas of water will appear blue, healthy green vegetation will appear as a bright green, urban areas in various shades of magenta, snow covered areas in cyan. Satellite/Sensor: MultiSpectral Instrument (MSI) on European Space Agency's (ESA) Copernicus Sentinel-2A/2B satellites Resolution: True Color: 10 meters Natural Color: 20 meters Credits: NASA/MSFC, USGS, ESA Copernicus Service URL: https://gis.earthdata.nasa.gov/portal/home/item.html?id=5bd8e58267b5457e8f9f0299e30055ce WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_202302_EARTHQUAKE_TURKIYE/2302_sentinel2/ImageServer/WMSServer

uav imagery by Acert Ambiental, acquired 2025-05-07 to 2025-05-07, 4.5 cm per pixel, published on OpenAerialMap.

ArcGIS Image ServiceTime Interval: Full Climatology With Hourly Timesteps Version: 1 Spatial Resolution: 3 km Time Extent: 2004 to 2024 (With 24 Hours) Projection: GCS WGS84 Extent: Regional | Europe Other Formats: OGC WMS, OGC WCS, REST CollectionThis collection contains European IR detection climatological diurnal statistics averaged over 2004-2024 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

uav imagery by Nowitsky Nikolay, acquired 2025-05-29 to 2025-05-29, 2.8 cm per pixel, published on OpenAerialMap.

uav imagery by Openstreetmap Perú, acquired 2025-04-14 to 2025-04-14, 5.3 cm per pixel, published on OpenAerialMap.

ArcGIS Image ServiceTime Interval: Seasonal Climatology Version: 1 Spatial Resolution: 3 km Time Extent: 2015 to 2025 (Dec-Feb, Mar-May, Jun-Aug, Sep-Nov) Projection: GCS WGS84 Extent: Regional | Australia Other Formats: OGC WMS, OGC WCS, REST CollectionThis collection contains Australian OT detection climatological statistics averaged over: Dec-Feb, Mar-May, Jun-Aug, Sep-Nov 2015-2025 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

uav imagery by Robert Howe, acquired 2026-07-16 to 2026-07-16, 4.2 cm per pixel, published on OpenAerialMap.

Dates of Images: Post-Event: July 1, 2026; July 3, 2026; July 5, 2026 Pre-Event: May 14, 2026 Date of Next Image: Unknown Summary: Normalized Differential Vegetation Index (NDVI) maps are produced by converting pixel values to NDVI = (Red – NIR)/(Red + NIR), NIR indicates the near infrared band. 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. NDVI change was created by subtracting the cloud-masked post-event NDVI from the cloud-masked pre-event NDVI to show areas of potentially impacted vegetation as negative values (darker shades) and healthy/unimpacted vegetation in positive values (lighter shades). NDVI change can give insights to impacts from an event (like the scouring of vegetation from the riverbeds) but can also show changes in unrelated areas like the clearing of agriculture fields. This layer is a binary NDVI change polygon (threshold of areas where NDVI decreased by -0.25 or more) for November 2, 2025 as compared to October 20, 2025. Suggested Use: NDVI change: Commonly used to distinguish healthy/active vegetation (positive values) from potentially unhealthy/impacted vegetation (negative values). This map shows a binary flag where NDVI decreased. 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 URL section on right side of page

Dates of Images: Post-Event: 12/17/2025 Pre-Event: 10/13/2025 Date of Next Image: Unknown Summary: The True Color RGB composite provides a product of how the surface would look to the naked eye from space. The RGB is created using the red, green, and blue channels of the respective instrument. Cloud mask indicates areas marked as obfuscated by clouds. Suggested Use: The True Color RGB provides a product of how the surface would look to the naked eye from space. The True Color RGB is produced using the 3 visible wavelength bands (red, green, and blue) from the respective sensor. Some minor atmospheric corrections have occurred. Cloud mask indicates areas marked as obfuscated by clouds. Satellite/Sensor: Landsat 9 Operational Land Imager (OLI), Landsat 8; MultiSpectral Instrument (MSI) on European Space Agency's (ESA) Copernicus Sentinel-2A/2B satellites Resolution: 10 Meters (Sentinel-2); 30 Meters (Landsat) Credits: NASA/MSFC, USGS, ESA Copernicus Esri REST Endpoint: See URL section on right side of page WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_202512_FLOOD_WA/2512_sentinel2_cloud/ImageServer/WMSServer

The true color orthoimages were acquired as part of the DC Geographic Information System (DC GIS) and captured at 0.3-meter pixel resolution (approximately 1-foot). A companion downloadable mosaic is available as a compressed MrSID format.

uav imagery by ASOAINTAM, acquired 2026-05-26 to 2026-05-26, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by HOT, acquired 2025-06-04 to 2025-06-08, 8.5 cm per pixel, published on OpenAerialMap.

uav imagery by NYenvironcom, acquired 2026-07-08 to 2026-07-08, 4.1 cm per pixel, published on OpenAerialMap.

uav imagery by WebODM, acquired 2025-03-28 to 2025-03-28, 5.1 cm per pixel, published on OpenAerialMap.

uav imagery by Madagascar Red Cross, acquired 2026-03-24 to 2026-03-24, 5.1 cm per pixel, published on OpenAerialMap.

uav imagery by Agência Peixe Vivo, acquired 2025-08-27 to 2025-08-27, 2.6 cm per pixel, published on OpenAerialMap.

uav imagery by Philip Gandy, acquired 2025-03-26 to 2025-03-26, 6.5 cm per pixel, published on OpenAerialMap.

uav imagery by GisBudva, acquired 2026-06-11 to 2026-06-11, 2.0 cm per pixel, published on OpenAerialMap.

ArcGIS Image ServiceTime Interval: Monthly Version: 1 Spatial Resolution: 3 km Time Extent: 2015-07-15 to 2025-06-15 Projection: GCS WGS84 Extent: Regional | Australia Other Formats: OGC WMS, OGC WCS, REST CollectionThis service provides monthly gridded overshooting cloud top detection, specifically the Overshooting Top Days/Month over Australia. 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

uav imagery by HOT, acquired 2026-05-26 to 2026-05-26, 6.9 cm per pixel, published on OpenAerialMap.

uav imagery by Help.NGO, acquired 2025-10-09 to 2025-10-09, 4.8 cm per pixel, published on OpenAerialMap.

satellite imagery by Vantor, acquired 2026-05-26 to 2026-05-26, 49.5 cm per pixel, published on OpenAerialMap.

uav imagery by Open Mapping Hub - Asia Pacific, acquired 2025-10-01 to 2025-10-01, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by AC Theron, acquired 2025-12-19 to 2025-12-19, 6.9 cm per pixel, published on OpenAerialMap.

uav imagery by Utaiguara da Nóibrega Borges, acquired 2025-09-16 to 2025-09-16, 23.1 cm per pixel, published on OpenAerialMap.

satellite imagery by Vantor, acquired 2026-06-27 to 2026-06-27, 43.4 cm per pixel, published on OpenAerialMap.

uav imagery by COMPAÑIA INTERNACIONAL DEL CAFE SAC, acquired 2025-10-14 to 2025-10-14, 3.4 cm per pixel, published on OpenAerialMap.

This Collection provides Sentinel-5P Level-1 RA BD6 products, which contains Earth radiance spectra for spectral band 6.

uav imagery by Amilcar Araujo, acquired 2026-04-30 to 2026-04-30, 5.1 cm per pixel, published on OpenAerialMap.

Dates of Images: Post-Event: 1/18/2025, 1/19/2026, 1/21/2026, 1/26/2026, 1/28/2026 Pre-Event: 11/27/2025, 12/19/2025, 12/20/2025, 1/18/2026, 1/19/2026 Date of Next Image: Unknown Summary: Natural Color: The Natural Color RGB provides a false composite look at the surface. This RGB uses a shortwave, the near-infrared, and red channels from the instrument. True Color: The True Color RGB composite provides a product of how the surface would look to the naked eye from space. The RGB is created using the red, green, and blue channels of the respective instrument. Suggested Use: Natural Color: areas of water will appear blue, healthy green vegetation will appear as a bright green, urban areas in various shades of magenta. True Color: provides a product of how the surface would look to the naked eye from space. The True Color RGB is produced using the 3 visible wavelength bands (red, green, and blue) from the respective sensor. Some minor atmospheric corrections have occurred. Satellite/Sensor: Landsat 9 Operational Land Imager (OLI) Resolution: 30 meters Credits: NASA/MSFC, USGS Esri REST Endpoint: See URL section on right side of page WMS Endpoint: https://gis.earthdata.nasa.gov/gis05/services/DISASTERS_202601_WINTERWX_US/202601_landsat/ImageServer/WMSServer