Imagery and land cover data

satellite imagery by Vantor, acquired 2026-07-31 to 2026-07-31, 63.8 cm per pixel, published on OpenAerialMap.

uav imagery by Ziemowit Zabawa, acquired 2026-08-08 to 2026-08-08, 2.0 cm per pixel, published on OpenAerialMap.

uav imagery by CIDI FADA- Guillermo Britez, acquired 2026-08-10 to 2026-08-10, 2.5 cm per pixel, published on OpenAerialMap.

satellite imagery by Vantor, acquired 2026-08-10 to 2026-08-10, 57.1 cm per pixel, published on OpenAerialMap.

satellite imagery by Vantor, acquired 2026-08-12 to 2026-08-12, 47.9 cm per pixel, published on OpenAerialMap.

satellite imagery by Vantor, acquired 2026-08-13 to 2026-08-13, 64.0 cm per pixel, published on OpenAerialMap.

satellite imagery by Vantor, acquired 2026-08-13 to 2026-08-13, 39.8 cm per pixel, published on OpenAerialMap.

uav imagery by Jack Johnston, acquired 2026-08-16 to 2026-08-16, 5.0 cm per pixel, published on OpenAerialMap.

satellite imagery by Vantor, acquired 2026-08-17 to 2026-08-17, 51.8 cm per pixel, published on OpenAerialMap.

uav imagery by Aleksander Gołaszewski, acquired 2026-08-24 to 2026-08-24, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by Aleksander Gołaszewski, acquired 2026-08-27 to 2026-08-27, 5.0 cm per pixel, published on OpenAerialMap.

aircraft imagery by João Pessoa, acquired 2026-08-27 to 2026-08-27, 8.0 cm per pixel, published on OpenAerialMap.

aircraft imagery by DJI Mini 5 Pro, acquired 2026-08-29 to 2026-08-29, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by Geo-Planning for Advanced Development (GPAD), acquired 2026-08-29 to 2026-08-30, 3.0 cm per pixel, published on OpenAerialMap.

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

satellite imagery by Hdh. Kumundhoo Council, acquired 2026-09-01 to 2026-09-02, 15.9 cm per pixel, published on OpenAerialMap.

satellite imagery by Vantor, acquired 2026-09-03 to 2026-09-03, 33.8 cm per pixel, published on OpenAerialMap.

Dates of Images: Post-Event: 11/3/2025 (Landsat); November 6, 2025; November 4, 2025; November 2, 2025 (Sentinel-2) Pre-Event: 10/2/2025 (Landsat); October 20, 2025 (Sentinel-2) 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. 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-2), Landsat 8 (OLI); European Space Agency's (ESA) Copernicus Sentinel-2A/2B satellites' MultiSpectral Instrument (MSI) 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_202510_HURRICANE_MELISSA/imagery_CloudCover/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: Pre-Event: 1/6 Post-Event: 1/9, 1/12, 1/13, 1/14, 1/15, 1/21 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 Service URL: https://gis.earthdata.nasa.gov/portal/home/item.html?id=eae5a20f365c47da9cfd9c9afa4b37ed WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_202501_FIRE_CA/2501_planet/ImageServer/WMSServer

ArcGIS Image ServiceTime Interval: Monthly With Hourly Timesteps Version: 1 Spatial Resolution: 3 km Time Extent: 2004-04-15 to 2024-12-15 Projection: GCS WGS84 Extent: Regional | Europe 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 Europe. 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: Post-Event: 11/3/2025 Pre-Event: 10/2/2025 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: 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), Landsat 8 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/portal/services/DISASTERS_202510_HURRICANE_MELISSA/landsat/ImageServer/WMSServer

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 Anvil Cloud Days per Year 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

Collection of Land Cover products for Canada as produced by Natural Resources Canada using Landsat satellite imagery. This collection of cartographic products offers classified Land Cover of Canada at a 30 metre scale, updated on a 5 year basis.

OverviewTerrestrial Normalized Difference Vegetation Index (NDVI) from the NASA Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) Ocean Color Instrument (OCI). NDVI is calculated as (Rnir-Rred)/(Rnir+Rred), where Rnir is a near infrared spectral band and Rred is a red spectral band. PACE NDVI is processed to be similar to MODerate resolution Imaging Spectraradiometer (MODIS) NDVI data by using an average of OCI bands between 841 and 877 nanometers (nm) for the Rnir band and between 620 and 671 nm for the Rred band. See Mathematical Theory section of the Caplan et al. 2025 algorithm documentation for equation details. Data provided as global, 8-day averages mapped to a standard, equal-angle, latitude-longitude grid of 0.02 degrees, which equates to approximately 2 kilometers (km) at the equator. Data has been corrected for atmospheric scattering and absorption. Pixels with no data values are masked (excluded) due to presence of water, cloud cover, or other features marked by quality control flags as described below. Data Layer Summary Name, units Normalized Difference Vegetation Index (NDVI) A measure of the “greenness" of terrestrial vegetation, describes plant health and abundance. NDVI is unitless, ranging from -1 to 1. Spatial resolution 2 km2 Level-3, mapped to standard grid, global coverage Time Resolution 8 day average Each pixel represents an average of the valid, daily values observed within that grid element during the 8-day interval (approx 1 week). Note: 8 day average data layer is calculated from daily, "refined" (archive-quality) Level 3 PACE NDVI products that are available at this link from NASA Earthdata in NetCDF format. Earthdata account required. Each NetCDF file includes all 10 PACE vegetation indexes, including NDVI. Data Version Version 3.1 Data versions change as improved calibration, validation, algorithm refinements, etc are applied over time. See Version 3.1 Release Notes for details. Latency ~1 month This imagery service provides “refined” (archive-quality) PACE data products from March 2024-present, which have an approx 1 month latency. Note: Lower latency “near real time (NRT)” Level 3 PACE NDVI products are available daily from NASA Earthdata in NetCDF format. Latency is typically Earthdata account required. Each NetCDF file includes all 10 PACE vegetation indexes, including NDVI. Intended Use: What can I do with this layer? NDVI has been used for decades describe seasonal and annual changes over time (Huang et al., 2021). In this way you can utilize NDVI to monitor vegetation amounts, changes in vegetation cover (e.g. post-fire recovery, deforestation), as a proxy of health, among others. The time (8 day average) and space (2km2) resolution of this data layer enables weekly to seasonal and annual insight at local to global scales.   Limitations of Use: What should I know about the data? Data Status (Maturity): This product is provisional, which means that product results have been reviewed and are in family with heritage data products or other basis of expectation, but have not yet been extensively validated and so may still contain significant errors. Data layer is sufficient for qualitative determinations of product fitness-for-purpose, for testing by operational users, and may be suitable for scientific publication. Data Masking: This is a Level 3, globally-binned product from NASA’s Ocean Biology Processing Group (OBPG). By default, OBPG Level 3 data values are masked (value is set to null, or no data) according to a standard set of quality control parameters. Please see Level 3 Algorithm Usage Constraints from the Caplan et al. 2025 algorithm documentation for masking parameter details.   Where do I go with further questions? Visit NASA’s Earthdata Forum where users can post questions that are answered by the personnel working at NASA with the PACE mission and/or the Ocean Biology Distributed Active Archive Center (OB.DAAC) that processes and distributes PACE data. First, follow this link to view only “PACE” and “OBDAAC” tagged questions on the Earthdata Forum. Then search and read through previous posts for your question. If it has not yet been asked please post your question in the Forum and be sure "PACE" and "OBDAAC" filter tags are applied.     Mission and Product Background PACE Mission Overview: Launched in February 2024, NASA’s Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) observatory uniquely provides near-daily, hyperspectral coverage of Earth’s surface, plus hyperspectral and hyperangular polarimetry. PACE is a comprehensive Earth System mission, delivering all new, space-based information on the health and diversity of aquatic and terrestrial life (algae, plants), aerosol properties & modes (e.g. smoke, dust), cloud types, and more. The Ocean Color Instrument (OCI), PACE's primary sensor, is a hyperspectral (5 nm resolution) imaging spectrometer that measures properties of light from the ultraviolet (UV, 340 nm) through visible and near infrared (NIR, 895 nm) portions of the electromagnetic spectrum in 1.25 to 2.5 nm steps, plus 7 shortwave infrared (SWIR) bands (Werdell et al. 2019). Observations from OCI are moderate spatial resolution (1.2 km2), enabling a relatively frequent revisit time of 1-2 days. This combination of continuous, global coverage and spectral capabilities is unmatched by any other satellite platform, public or private. PACE benefits society by expanding our foundational knowledge of Earth and enabling novel, space-based science and applications tools across water resources (e.g. fisheries), air quality, land monitoring & management, and more.   Terrestrial Remote Sensing from an Ocean Color Sensor? Designed and optimized to operate across a broad dynamic range, from the dark target of the ocean to bright, highly reflective cloud tops, PACE’s OCI also collects surface reflectance data from the world's terrestrial environments across 122 bands, resolving spectral properties of the Earth more finely than previous multispectral missions could achieve. Work thus far has demonstrated viability of OCI’s land data products for terrestrial investigations (e.g. Caplan and Huemmrich 2025; Huemmrich et al. 2025). OCI’s coverage and capabilities enable provision of both novel, hyperspectral-enabled land observations as well as maintenance and extension of certain historical multispectral data records. Advanced vegetation indexes (VIs) enabled by OCI’s narrow-wavelength surface reflectance measurements provide continuous, synoptic insights into foliar pigment amounts (chlorophylls, carotenoids, and anthocyanins), water content, and photosynthetic light use efficiency across the globe each day. Heritage VIs (e.g., normalized difference vegetation index, NDVI; reviewed in Huang et al. 2021) can also be calculated by aggregating (averaging) OCI’s narrow bandwidths across ranges that approximate the multi-spectral, broadband reflectances of instruments such as MODIS, see the Mathematical Theory section of the Caplan et al. 2025 algorithm documentation for details. See the full list of heritage and hyperspectral-enabled VIs produced by PACE here.   What other PACE data layers are available? This data layer is 1 of 11 PACE products initially selected for the Living Atlas catalog from the mission’s comprehensive aquatic, atmospheric, and terrestrial product catalog. Click here to view all 11 PACE Living Atlas imagery services. The Level 3, 122-band hyperspectral surface reflectance data (SFREFL) used to derive all VIs is available from NASA Earthdata to download at 2 kilometer resolution in NetCDF format. To learn more about obtaining PACE data from NASA, first learn about PACE data access here, next decide which product(s) you would like to use, then go to NASA Earthdata to find your product(s) of interest in NetCDF format, which can be downloaded and then imported into ArcGIS. To learn about using Earthdata Search to narrow your data product selection, watch this tutorial. An Earthdata account is needed to download data from NASA, sign up here. How can I stay up to date with the PACE mission?   Join the PACE Community for mission news, events, new product release announcements, and to receive our newsletters. Would you like to see imagery services for more PACE products? Please let us know here.   References: Caplan, S., Bailey, S., and Franz, B., authors. (2025) Algorithm theoretical basis document: PACE OCI Vegetation Indices (LANDVI), Version 1.0. NASA Goddard Space Flight Center, Ocean Ecology Lab. https://doi.org/10.5067/8L77O0Y8GHV8 Caplan, S. and Huemmrich, K. F. (2025) Unveiling PACE OCI’s hyperspectral terrestrial data products. Remote Sensing Letters, 16(4), 422–433. https://doi.org/10.1080/2150704X.2025.2470905 Huemmrich, K.F., et al. (2025) Determining Terrestrial Ecosystem Gross Primary Productivity From PACE OCI. IEEE Geosci. & Rem. Sens. Lett., 22, 1-5. https://doi.org/10.1109/LGRS.2025.3587584 Huang, S., Tang, L., Hupy, J. P., Wang, Y. and Shao, G. (2021) A commentary review on the use of normalized difference vegetation index (NDVI) in the era of popular remote sensing. Journal of Forestry Research, 32(1), 1-6. https://doi.org/10.1007/s11676-020-01155-1 Werdell, P. J. et al. (2019) The Plankton, Aerosol, Cloud, Ocean Ecosystem Mission: Status, Science, Advances. Bulletin of the American Meteorological Society, 100, 1775–1794. https://doi.org/10.1175/BAMS-D-18-0056.1

This Collection provides Sentinel-3 SRAL Level-2 Land Altimetry Land Ice products, which contains surface topography estimations of the Greenland and Antarctic ice sheets.

ArcGIS Image ServiceTime Interval: Full Climatology 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 diurnal 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

Dates of Images: Post-Event: November 6, 2025; November 4, 2025; November 2, 2025 Pre-event: October 20, 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. 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: 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_202510_HURRICANE_MELISSA/202511_sentinel2/ImageServer/WMSServer

This data set represents land cover map for the year 2016. This layer was clipped from Sentinel-2 global land cover data.

uav imagery by Nikolai Nowitsky, acquired 2025-06-27 to 2025-06-27, 4.5 cm per pixel, published on OpenAerialMap.

uav imagery by Eric Johnson, acquired 2025-12-24 to 2025-12-24, 15.0 cm per pixel, published on OpenAerialMap.

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

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 OT 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 Malagasy Red Cross, acquired 2026-01-17 to 2026-01-18, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by NMFRD, acquired 2026-06-05 to 2026-06-05, 0.8 cm per pixel, published on OpenAerialMap.

satellite imagery by Help.NGO, acquired 2025-11-19 to 2025-11-20, 4.8 cm per pixel, published on OpenAerialMap.

uav imagery by Help.NGO, acquired 2026-05-22 to 2026-05-22, 1.7 cm per pixel, published on OpenAerialMap.