Imagery and land cover data

This collection provides Sentinel-3 OLCI Level-2 Land Reduced Resolution products containing data on global vegetation, chlorophyll, and water vapor.

uav imagery by TOT, acquired 2026-06-05 to 2026-06-05, 3.7 cm per pixel, published on OpenAerialMap.

OverviewThis image service provides 2023 orthophotography from the Orthoimagery Aerials2023 Eagle View mosaic dataset. It delivers RGB imagery as a three band, 8 bit raster service with 0.25 meter pixel size and bilinear resampling. The service covers a local area in spatial reference 2881 and is delivered as a managed image collection with catalog access. Raster PropertiesData type: RGB imagery Pixel type: U8 Band count: 3 Band values: Band 1, Band 2, Band 3 Pixel size: 0.25 x 0.25 Dataset format: AMD Compression: None Resampling method: Bilinear Value range: 0 to 255 for each band Mean values: 110.08, 109.55, 82.63 Standard deviations: 31.21, 26.24, 25.53 Histogram range: -0.5 to 255.5 for each band Raster functions: None and Eagle View Stretch Mosaic PropertiesThe service is built from a mosaic dataset and combines multiple raster items on the fly. It supports Catalog, Download, Image, and Metadata capabilities. Users can browse individual catalog items, review metadata, and access imagery for display and download. Supported mosaic methods include NorthWest, Center, LockRaster, ByAttribute, Nadir, Viewpoint, Seamline, and None. The service can composite up to 42 images at once. Catalog fields describe each raster item with metadata such as name, pixel size range, category, tag, group name, product name, center location, and z order. The category domain includes values such as Primary, Overview, Uploaded, and Custom. Geographic CoverageThe imagery covers a local area of approximately 0.43 degrees in latitude and longitude extent, centered in northeastern Florida. Extent:xmin: -81.52329610896626 ymin: 29.256706249842132 xmax: -81.09774534379683 ymax: 29.683933726633093 Spatial reference: 2881 Use CasesThis service supports imagery viewing, catalog browsing, metadata review, and image download workflows. It allows users to copy data and run analysis, and it supports standardized catalog queries with statistics, SQL expressions, ordering, pagination, and distinct queries. Downloads are limited to 20 images per request with a 2048 MB size limit. The service does not provide mensuration capabilities.

This Collection provides Sentinel-5P Level-2 NP BD7 products, which contains information on cloud and scene homogeneity.

satellite imagery by Rodolfo Vargas Chile. GEÓGRAFO, acquired 2026-01-01 to 2026-01-01, 59.6 cm per pixel, published on OpenAerialMap.

uav imagery by Geo-Planning for Advanced Development (GPAD), acquired 2026-06-01 to 2026-06-02, 3.0 cm per pixel, published on OpenAerialMap.

Overview This 30-meter dataset reflects land cover information for 2010 from Mexico and Canada, and 2011 for Alaska and the conterminous United States. Each country developed its own classification method to identify land cover classes and provided an input layer to produce a continental land cover map across North America. The main inputs for image classification were 30-meter Landsat data; image selection varied by country according to site-specific requirements. Canada selected most images from 2010, with a few from 2009 and 2011; the United States primarily used 2011 imagery; and Mexico used all available images from 2010. National maps were generated for Canada by the Canada Centre for Remote Sensing (CCRS); for Mexico by the National Commission for the Knowledge and Use of Biodiversity (Comisión Nacional para el Conocimiento y Uso de la Biodiversidad), National Institute of Statistics and Geography (Instituto Nacional de Estadística y Geografía), and National Forestry Commission of Mexico (Comisión Nacional Forestal); and for the United States by the United States Geological Survey. Each country used its own approach, ancillary data, and mapping methodology, and the national datasets were then combined by the Commission for Environmental Cooperation (CEC) into a seamless North American product, merging four map sections: Alaska, Canada, the conterminous United States, and Mexico. The current version (version 3) includes updated data over Canada, provided by the CCRS and the Canada Centre for Mapping and Earth Observation (CCMEO) in February 2024, along with updated 2011 land cover datasets for Alaska and the conterminous United States, provided by the USGS in February 2024. The main change in Alaska relates to the inclusion of an improved road network. No updates were performed over Mexico for this version. Land Cover Classes The raster attribute table provides 19 thematic land cover classes plus a background value, with class names in English, Spanish, and French: 1: Temperate or sub-polar needleleaf forest 2: Sub-polar taiga needleleaf forest 3: Tropical or sub-tropical broadleaf evergreen forest 4: Tropical or sub-tropical broadleaf deciduous forest 5: Temperate or sub-polar broadleaf deciduous forest 6: Mixed forest 7: Tropical or sub-tropical shrubland 8: Temperate or sub-polar shrubland 9: Tropical or sub-tropical grassland 10: Temperate or sub-polar grassland 11: Sub-polar or polar shrubland-lichen-moss 12: Sub-polar or polar grassland-lichen-moss 13: Sub-polar or polar barren-lichen-moss 14: Wetland 15: Cropland 16: Barren lands 17: Urban and built-up 18: Water 19: Snow and ice Geographic Coverage The service covers Canada, the United States, and Mexico, including Alaska. Data Sources and Licensing This dataset is produced by the Commission for Environmental Cooperation (CEC), derived from national land cover maps provided by Natural Resources Canada, the National Commission for the Knowledge and Use of Biodiversity, the National Institute of Statistics and Geography, the National Forestry Commission; and the United States Geological Survey. The compiled dataset is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing redistribution and adaptation with appropriate attribution. Update frequency: Irregular Limitations of use: Intended for continental-scale reference. Vintage: 2010 Applications (Intended Use) Land cover review and continental- to national-scale mapping. Environmental monitoring and change detection over time. Spatial analysis and integration with other thematic layers in the North American Environmental Atlas. Supporting cross-border environmental cooperation and policy-making among North American nations. Files Download

uav imagery by Juan Manuel Stagnaro, acquired 2025-12-31 to 2026-01-22, 4.8 cm per pixel, published on OpenAerialMap.

This Collection provides Sentinel-5P Level-2 Cloud products, which contains high-resolution imagery of cloud parameters.

satellite imagery by Sentinel 2, acquired 2026-01-21 to 2026-01-22, 1998.9 cm per pixel, published on OpenAerialMap.

uav imagery by WebODM, acquired 2026-01-23 to 2026-01-23, 5.0 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).

The Sentinel-2 Level-2A Collection 1 product provides orthorectified Surface Reflectance (Bottom-Of-Atmosphere: BOA), with sub-pixel multispectral and multitemporal registration accuracy. Scene Classification (including Clouds and Cloud Shadows), AOT (Aerosol Optical Thickness) and WV (Water Vapour) maps are included in the product.

This Collection provides Sentinel-3 SRAL Level-1A products, which contains geo-located bursts of echoes with all calibrations applied.

uav imagery by Help.NGO, acquired 2026-01-25 to 2026-01-25, 5.3 cm per pixel, published on OpenAerialMap.

uav imagery by Matias, acquired 2026-01-28 to 2026-01-28, 5.0 cm per pixel, published on OpenAerialMap.

Dates of Images: Post-Event: 12/26/2026, 12/27/2026, 12/28/2026, 12/29/2026 Pre-Event: 12/30/2025, 01/01/2026, 01/18/2026, 01/19/2026 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 Short Wave Infrared (SWIR) RGB is a product that is created using the SWIR, NIR, and Red 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. 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. The Short Wave Infrared (SWIR) RGB is a product that can provides value in flood detection. Areas of water will appear blue, healthy green vegetation will appear as a bright green, urban areas in various shades of magenta, snow will appear as a bright blue/cyan, and bare soils being multicolor dependent on their makeup. Compare pre-event imagery to post-event imagery to identify potential flooding. Satellite/Sensor: MultiSpectral Instrument (MSI) on European Space Agency's (ESA) Copernicus Sentinel-2A/2B satellites Resolution: True Color: 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/gis05/services/DISASTERS_202601_WINTERWX_US/202601_sentinel2/ImageServer/WMSServer

uav imagery by Centro de Investigación Desarrollo e innovación (CIDI) - Faculta de Arquitectura Diseño y Arte (FADA) - Universidad Nacional de Asunción (UNA), acquired 2026-01-15 to 2026-01-30, 2.3 cm per pixel, published on OpenAerialMap.

uav imagery by Bruno , acquired 2026-01-30 to 2026-01-30, 3.0 cm per pixel, published on OpenAerialMap.

uav imagery by Rodolfo Vargas Chile. GEÓGRAFO, acquired 2026-01-31 to 2026-01-31, 5.0 cm per pixel, published on OpenAerialMap.

This Collection provides the Sentinel-3 Synergy Level-2 Land Surface Reflectance and Aerosol product, which contains data on Surface Directional Reflectance, Aerosol Optical Thickness, and an Angstrom coefficient estimate over land.

uav imagery by Malagasy Red Cross, acquired 2026-06-30 to 2026-08-30, 5.0 cm per pixel, published on OpenAerialMap.

aircraft imagery by T, acquired 2025-11-02 to 2025-11-02, 3.0 cm per pixel, published on OpenAerialMap.

uav imagery by David Abratte, acquired 2026-01-31 to 2026-01-31, 2.9 cm per pixel, published on OpenAerialMap.

satellite imagery by Filipe Manso Valença, acquired 2025-08-20 to 2025-08-20, 4.9 cm per pixel, published on OpenAerialMap.

satellite imagery by Vantor, acquired 2026-02-05 to 2026-02-05, 38.5 cm per pixel, published on OpenAerialMap.

satellite imagery by Kerim, acquired 2026-02-06 to 2026-02-07, 20.0 cm per pixel, published on OpenAerialMap.

uav imagery by Rodolfo Vargas Chile. GEÓGRAFO, acquired 2026-02-08 to 2026-02-08, 3.0 cm per pixel, published on OpenAerialMap.

uav imagery by Centro de Estudios con Poblaciones, Movilizaciones y Territorios, acquired 2026-02-07 to 2026-02-09, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by Perry Smith, acquired 2026-02-09 to 2026-02-09, 12.5 cm per pixel, published on OpenAerialMap.

uav imagery by David Abratte, acquired 2026-02-15 to 2026-02-16, 3.6 cm per pixel, published on OpenAerialMap.

aircraft imagery by EcoTerra Inc via Acuity Geo, acquired 2026-02-12 to 2026-02-12, 2.0 cm per pixel, published on OpenAerialMap.

uav imagery by WebODM, acquired 2025-06-10 to 2025-06-10, 3.2 cm per pixel, published on OpenAerialMap.

uav imagery by Esdras de Lima Andrade, acquired 2025-08-15 to 2025-08-15, 5.3 cm per pixel, published on OpenAerialMap.

satellite imagery by Vantor, acquired 2026-02-15 to 2026-02-15, 41.9 cm per pixel, published on OpenAerialMap.

uav imagery by David Abratte, acquired 2026-02-15 to 2026-02-16, 3.5 cm per pixel, published on OpenAerialMap.