Imagery and land cover data
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aircraft imagery by PMSMJ, acquired 2026-09-14 to 2026-09-14, 2.6 cm per pixel, published on OpenAerialMap.
satellite imagery by PMSMJ, acquired 2026-09-14 to 2026-09-14, 4.1 cm per pixel, published on OpenAerialMap.
aircraft imagery by PMSMJ, acquired 2026-09-14 to 2026-09-14, 0.9 cm per pixel, published on OpenAerialMap.
uav imagery by Eetu Forssell, acquired 2026-09-17 to 2026-09-18, 10.0 cm per pixel, published on OpenAerialMap.
uav imagery by Judco, acquired 2026-09-19 to 2026-09-19, 2.5 cm per pixel, published on OpenAerialMap.
Mosaico della Carta Tecnica "Comprensorio Valle del Tevere a scala 1:5.000" (ENTE AUTONOMO PER LA BONIFICA L' IRRIGAZIONE E LA VALORIZZAZIONE FONDIARA - AREZZO ex ENTE VALDICHIANA) - Ripresa aerofotografica agosto 1972, digitallizzata e georeferenziata in coordinate Gauss Boaga fuso est ed ETRF2000 UTM Zone 33N da SIAT - Regione Umbria. (La precisione della georeferenziazione è limitata dalla deformazione dei supporti cartacei).
This Collection provides Sentinel-5P Level-1 RA BD5 products, which contains Earth radiance spectra for spectral band 5.
ArcGIS Image ServiceTime Interval: Annual 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 OT detection climatological statistics averaged Annually with Hourly Timesteps. 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: October 13, 2025 Post-Event: December 17, 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. The Color Infrared composite is created using the near-infrared, red, and green channels. The near-infrared gives the ability to see through thin clouds. Healthy vegetation is shown as red, water is in blue. 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. A Color Infrared composite depicts healthy vegetation as red, water as blue. Some minor atmospheric corrections have occurred. 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 WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_202512_FLOOD_WA/2512_sentinel2/ImageServer/WMSServer
NOTE: Due to the higher resolution of this data, it may be slow to load or require the user to zoom to a smaller area of interest. Date of Images: Post-Event: 10/29/2025, 11/2/2025, 11/3/2025 Pre-Event: 10/19/2025 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. 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. Satellite/Sensor: PlanetScope Resolution: 3 Meters Esri REST Endpoint: See URL section on right side of page
ArcGIS Image ServiceTime Interval: Full Climatology Version: 1 Spatial Resolution: 3 km Time Extent: 2015 to 2025 Projection: GCS WGS84 Extent: Regional | Australia Other Formats: OGC WMS, OGC WCS, REST CollectionThis collection contains Australian Anvil Cloud Days per Year detection climatological statistics averaged over 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
Date of Images: 8/29/2018 Summary: Scientists at NASA's Marshall Space Flight Center created these water extents using Landsat imagery. These images can be used to see where open water is visible at the time of the satellite overpass. This product shows all water detected and differentiates between normal water areas and some flooded areas. This product was classified using the ESA Worldview. It's important to note that all flooded areas may not be captured do to the sensors limitations of not being able to "see" through vegetation and buildings. To determine where additional flooding may have occurred, combine this layer with other data sets. Suggested Use: This product shows water that is detected by the sensor with different colors indicating different land cover/land use classifications from CDL that appear to have water and are potentially flooded. Blue (1): Known Water Red (2): Flooded Developed Green (3): Flooded Vegetation Orange (4): Flooded Cropland/Grassland Gray (5): Clouds/Cloud Shadow (0): No Data Satellite/Sensor: Copernicus Sentinel-2 Resolution: 10 meters Credits: NASA/MSFC, USGS, ESA Copernicus Esri REST Endpoint: See URL section on the right side of page. WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_EX2601_201809_HURRICANE_FLORENCE/ex2601_sentinel2_WaterExtent/MapServer/WMSServer
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 OT 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 Finn Robinson, acquired 2025-05-10 to 2025-05-10, 5.0 cm per pixel, published on OpenAerialMap.
This Collection provides Sentinel-5P Level-2 CH4 products, which contains high-resolution imagery of methane concentrations.
Very high resolution radiance data from the Copernicus Contributing Missions (CCM) consist of high-resolution satellite imagery provided by commercial mission operators. These datasets support the Copernicus programme in areas such as land monitoring, emergency response, security, and marine environment. The imagery covers a broad spectral range and is tailored for diverse operational and analytical applications.
uav imagery by WebODM, acquired 2025-07-17 to 2025-07-17, 2.0 cm per pixel, published on OpenAerialMap.
uav imagery by WebODM, acquired 2025-06-05 to 2025-06-05, 2.0 cm per pixel, published on OpenAerialMap.
satellite imagery by HOT, acquired 2026-05-26 to 2026-05-26, 5.5 cm per pixel, published on OpenAerialMap.
uav imagery by WebODM, acquired 2025-05-19 to 2025-05-19, 2.0 cm per pixel, published on OpenAerialMap.
uav imagery by HUNTERRA, acquired 2025-04-20 to 2025-04-20, 29.0 cm per pixel, published on OpenAerialMap.
satellite imagery by Vantor, acquired 2025-11-23 to 2025-11-23, 36.0 cm per pixel, published on OpenAerialMap.
satellite imagery by Vantor, acquired 2026-07-11 to 2026-07-11, 47.1 cm per pixel, published on OpenAerialMap.
uav imagery by Garrett Jobes, acquired 2026-05-29 to 2026-05-29, 18.5 cm per pixel, published on OpenAerialMap.
uav imagery by GIS, acquired 2026-07-29 to 2026-07-30, 2.4 cm per pixel, published on OpenAerialMap.
satellite imagery by HOT, acquired 2026-04-30 to 2026-04-30, 8.4 cm per pixel, published on OpenAerialMap.
uav imagery by Rodolfo Vargas Chile. GEÓGRAFO, acquired 2026-09-03 to 2026-09-03, 4.0 cm per pixel, published on OpenAerialMap.
uav imagery by Dronexx, acquired 2025-11-05 to 2025-11-05, 50.8 cm per pixel, published on OpenAerialMap.
uav imagery by bcsicletos, acquired 2025-03-25 to 2025-03-25, 5.0 cm per pixel, published on OpenAerialMap.
uav imagery by HOTOSM, acquired 2026-06-28 to 2026-06-28, 5.0 cm per pixel, published on OpenAerialMap.
uav imagery by Geo-Planning for Advanced Development (GPAD), acquired 2026-06-06 to 2026-06-07, 3.5 cm per pixel, published on OpenAerialMap.
uav imagery by Gary Stebbins, acquired 2025-10-05 to 2025-10-05, 1.1 cm per pixel, published on OpenAerialMap.
uav imagery by HOT, acquired 2026-07-14 to 2026-07-14, 6.0 cm per pixel, published on OpenAerialMap.
uav imagery by Nikolai Nowitsky, acquired 2025-08-21 to 2025-08-21, 6.2 cm per pixel, published on OpenAerialMap.
This Collection provides Sentinel-5P Level-2 AER LH products, which contains high-resolution imagery of the UV Aerosol Index (UVAI), also called the Absorbing Layer Height (ALH).
uav imagery by Luka Koens, acquired 2026-07-31 to 2026-07-31, 1.9 cm per pixel, published on OpenAerialMap.