Imagery and land cover data

uav imagery by Hawkinson Media, LLC, acquired 2026-07-09 to 2026-07-10, 4.7 cm per pixel, published on OpenAerialMap.

uav imagery by Rodolfo Vargas Chile. GEÓGRAFO, acquired 2025-11-06 to 2025-11-06, 3.0 cm per pixel, published on OpenAerialMap.

uav imagery by Esdras de Lima Andrade, acquired 2025-08-15 to 2025-08-15, 5.0 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.

satellite imagery by Rodolfo Vargas Chile. GEÓGRAFO, acquired 2025-12-04 to 2025-12-04, 30.0 cm per pixel, published on OpenAerialMap.

uav imagery by HOT, acquired 2025-08-09 to 2025-08-09, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by Sayed, acquired 2025-10-13 to 2025-10-14, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by Omran NAJJAR, acquired 2025-12-24 to 2025-12-24, 2.9 cm per pixel, published on OpenAerialMap.

Overview This dataset shows North American land cover for 2010 at a spatial resolution of 250 meters, based on Moderate Resolution Imaging Spectroradiometer (MODIS) satellite imagery. It provides a harmonized view of the physical cover of Earth's surface across the continent, classified into nineteen Level II land cover classes defined using the Land Cover Classification System (LCCS) standard developed by the Food and Agriculture Organization (FAO) of the United Nations. The dataset was produced as part of the North American Land Change Monitoring System (NALCMS), a trilateral effort between Natural Resources Canada, the United States Geological Survey, and three Mexican organizations: the National Institute of Statistics and Geography (Instituto Nacional de Estadística y Geografía), the National Commission for the Knowledge and Use of Biodiversity (Comisión Nacional para el Conocimiento y Uso de la Biodiversidad), and the National Forestry Commission of Mexico (Comisión Nacional Forestal). The collaboration is facilitated by the Commission for Environmental Cooperation (CEC), an international organization created by the governments of Canada, Mexico, and the United States under the North American Agreement on Environmental Cooperation to promote environmental collaboration between the three countries. Land Cover Classes The raster attribute table provides 19 thematic land cover classes: 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 land 17: Urban and built-up 18: Water 19: Snow and ice Geographic Coverage This dataset covers Canada, Alaska, the conterminous United States, and Mexico. Data Sources and Licensing This dataset builds on the initial 2005 North American Land Cover product, updated to reflect land cover changes detected through 2010. No changes were mapped in Hawaii due to a lack of newer data. This version (2.0) supersedes Edition 1.0, correcting labeling and classification errors identified after the initial release, and removes the water buffer along the coastline of North America to ensure consistent statistics for the water class. The entire 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: As needed 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

aircraft imagery by Asosiasi Pilot Drone Indonesia, acquired 2026-08-29 to 2026-08-29, 3.9 cm per pixel, published on OpenAerialMap.

La CTR occupa il posto preminente tra la cartografia regionale in quanto rappresenta la base conoscitiva fondamentale del territorio sia per i peculiari requisiti di ottima precisione metrica, sia per la completezza dei contenuti e dei dati tecnici particolarmente utili per progettazioni e realizzazioni di opere ingegneristiche, per attività di controllo e prevenzione e per chiunque abbia esigenza di operare sul territorio con misure di precisione. Realizzata in vari lotti d'appalto, tra il 1987 e il 2006, è costituita da 276 sezioni e copre l'intero territorio della Regione Umbria.

Level 1 thermal inrared data (bands 10 and 11) from Landat 8 and Landsat 9.

uav imagery by WebODM-LowestPotential, acquired 2025-04-12 to 2025-04-12, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by Dileigh Consulting Engineers, acquired 2025-10-23 to 2025-10-24, 4.0 cm per pixel, published on OpenAerialMap.

uav imagery by North Metro Fire, acquired 2026-07-23 to 2026-07-24, 1.5 cm per pixel, published on OpenAerialMap.

ArcGIS Image ServiceTime Interval: Annual With Hourly Timesteps Version: 1 Spatial Resolution: 3 km Time Extent: 2015 to 2025 (With 24 Hours) Projection: GCS WGS84 Extent: Regional | Australia Other Formats: OGC WMS, OGC WCS, REST CollectionThis collection contains Australian 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

uav imagery by Daniel Caicedo, acquired 2025-05-01 to 2025-05-02, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by TOT, acquired 2025-05-16 to 2025-05-16, 3.7 cm per pixel, published on OpenAerialMap.

uav imagery by WebODM, acquired 2025-06-14 to 2025-06-14, 2.0 cm per pixel, published on OpenAerialMap.

uav imagery by INGD, acquired 2025-12-09 to 2025-12-10, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by Rodolfo Vargas Chile. GEÓGRAFO, acquired 2025-10-03 to 2025-10-03, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by CV. Andalan Geoforest Indonesia, acquired 2025-06-07 to 2025-06-07, 3.8 cm per pixel, published on OpenAerialMap.

satellite imagery by geografia_en_viz, acquired 2025-12-11 to 2025-12-11, 13.7 cm per pixel, published on OpenAerialMap.

uav imagery by PRODRONE WORX, acquired 2026-04-15 to 2026-04-15, 3.0 cm per pixel, published on OpenAerialMap.

uav imagery by HUNTERRA, acquired 2025-04-20 to 2025-04-20, 26.8 cm per pixel, published on OpenAerialMap.

satellite imagery by Vantor, acquired 2026-05-26 to 2026-05-26, 50.2 cm per pixel, published on OpenAerialMap.

uav imagery by Nikolay Nowitsky, acquired 2025-08-23 to 2025-08-23, 5.9 cm per pixel, published on OpenAerialMap.

uav imagery by Openstreetmap Perú, acquired 2025-03-17 to 2025-03-17, 5.6 cm per pixel, published on OpenAerialMap.

uav imagery by Malagas Red Cross, acquired 2026-01-20 to 2026-01-21, 5.1 cm per pixel, published on OpenAerialMap.

satellite imagery by Phil Gandy, acquired 2025-07-13 to 2025-07-13, 2.0 cm per pixel, published on OpenAerialMap.

uav imagery by David Abratte, acquired 2025-10-15 to 2025-10-15, 2.7 cm per pixel, published on OpenAerialMap.

This Collection provides Sentinel-5P Level-1 RA BD1 products, which contains Earth radiance spectra for spectral band 1.

uav imagery by Geo-Planning for Advanced Development (GPAD), acquired 2026-06-01 to 2026-06-02, 3.5 cm per pixel, published on OpenAerialMap.

uav imagery by Malagasy Red Cross, acquired 2025-10-23 to 2025-10-24, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by geografia_en_viz, acquired 2025-08-24 to 2025-08-25, 8.4 cm per pixel, published on OpenAerialMap.

uav imagery by HOT, acquired 2026-05-20 to 2026-05-20, 5.0 cm per pixel, published on OpenAerialMap.