Imagery and land cover data

This Collection provides Sentinel-3 SRAL Level-1B products, which contains geo-located and fully calibrated multi-looked High Resolution power echoes.

satellite imagery by Rodolfo Vargas Chile. GEÓGRAFO, acquired 2026-06-05 to 2026-06-05, 100 cm per pixel, published on OpenAerialMap.

uav imagery by Sam Colchester, acquired 2026-04-03 to 2026-04-03, 3.4 cm per pixel, published on OpenAerialMap.

uav imagery by RM, acquired 2026-01-17 to 2026-01-17, 1.3 cm per pixel, published on OpenAerialMap.

uav imagery by GIS, acquired 2026-07-29 to 2026-07-30, 2.6 cm per pixel, published on OpenAerialMap.

Polygons representing land use designations in the Sarnia Official Plan. Each feature records a designation and land use category, such as Downtown or Prestige Employment, along with a status and notes. Published by troy.fox.

uav imagery by TOT, acquired 2025-06-23 to 2025-06-23, 3.7 cm per pixel, published on OpenAerialMap.

satellite imagery by moradia legal, acquired 2026-07-30 to 2026-07-30, 10.0 cm per pixel, published on OpenAerialMap.

uav imagery by Sean Frey, acquired 2025-10-15 to 2025-10-15, 3.4 cm per pixel, published on OpenAerialMap.

OverviewTerrestrial Photochemical Reflectance Index (PRI) from the NASA Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) Ocean Color Instrument (OCI). PRI is a normalized difference ratio of two narrow visible wavelengths expressed as: (R531 – R570)/(R531 + R570), where R531 is the reflectance at 531 nanometers (nm), the band sensitive to the epoxidation state of the xanthophyll cycle pigments, and R570 is a reference band at 570 nm (Grace et al. 2007, Coops et al. 2010). Data provided as global, 8-day averages mapped to a standard, equal-angle, latitude-longitude grid of 0.02 degrees, which equates to ~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 Photochemical Reflectance Index (PRI) Measure of terrestrial foliar photosynthetic light use efficiency. PRI is unitless. Spatial resolution 2 km2 Level-3, mapped to a 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 PRI products available here from NASA Earthdata in NetCDF format. Earthdata account required. Each NetCDF file includes all 10 PACE vegetation indexes, including PRI. 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: Daily, “near real time (NRT)” Level 3 PACE PRI products with less than approximately 24-48 hour latency available here from NASA Earthdata in NetCDF format. Earthdata account required. Each NetCDF file includes all 10 PACE vegetation indexes, including PRI. Intended Use: What can I do with this layer? PRI has been related to foliage or ecosystem photosynthetic light use efficiency (LUE). Its response is driven by leaf-level reflectance changes associated with changes in pigment pools in response to stresses although it can also be affected by changes in leaf area (Grace et al. 2007, Coops et al. 2010). The time (8 day average) and space (2 km2) 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 for masking parameter details. Algorithm Theoretical Basis Document (ATBD): See ATBD for algorithm details including scientific theory, calculations, etc. https://doi.org/10.5067/8L77O0Y8GHV8.   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 (Caplan 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 ATBD 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 access PACE mission data products available from NASA, first learn about PACE data access here, next decide which PACE product(s) you would like to use, then go to NASA Earthdata to find PACE products in NetCDF format, which can be downloaded and then imported into ArcGIS. An Earthdata account is needed to download data from NASA, sign up here. To learn about using Earthdata Search to find data, watch this tutorial.   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: Algorithm Theoretical Basis Document: 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 Coops, N. C., Hilker, T., Hall, F.G., Nichol, C.J., and Drolet, G. G. (2010) Estimation of light-use efficiency of terrestrial ecosystems from space: a status report. BioScience 60 (10): 788–797. https://doi.org/10.1525/bio.2010.60.10.5 Grace, J.,Nichol, C., Disney, M., Lewis, P., Quaife, T., and Bowyer, P. (2007) Can we measure terrestrial photosynthesis from space directly, using spectral reflectance and fluorescence? Global Change Biology, 13(7): 1484–1497. https://doi.org/10.1111/j.1365-2486.2007.01352.x 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

satellite imagery by jonnathan, acquired 2026-07-25 to 2026-07-25, 1.4 cm per pixel, published on OpenAerialMap.

uav imagery by WebODM, acquired 2026-01-24 to 2026-01-24, 1.0 cm per pixel, published on OpenAerialMap.

Level 1 operational land imager (OLI) data from Landat 8 and Landsat 9.

satellite imagery by North Metro Fire, acquired 2026-06-30 to 2026-07-01, 0.8 cm per pixel, published on OpenAerialMap.

uav imagery by Alfredo Queiroz, acquired 2025-08-26 to 2025-08-26, 8.6 cm per pixel, published on OpenAerialMap.

satellite imagery by Vantor, acquired 2026-06-27 to 2026-06-27, 86.3 cm per pixel, published on OpenAerialMap.

uav imagery by WebODM, acquired 2025-12-30 to 2025-12-30, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by Help.NGO, acquired 2025-07-13 to 2025-07-14, 4.6 cm per pixel, published on OpenAerialMap.

uav imagery by RMUTSV, acquired 2025-07-14 to 2025-07-14, 1.6 cm per pixel, published on OpenAerialMap.

satellite imagery by Vantor, acquired 2025-12-01 to 2025-12-01, 30.7 cm per pixel, published on OpenAerialMap.

satellite imagery by Rodolfo Vargas Chile. GEÓGRAFO, acquired 2025-07-18 to 2025-07-18, 107.8 cm per pixel, published on OpenAerialMap.

uav imagery by geografia_en_viz, Netas ciudadas, uam cuajimalpa, Hot OSM, acquired 2025-10-12 to 2025-10-12, 9.3 cm per pixel, published on OpenAerialMap.

satellite imagery by Rodolfo Vargas Chile. GEÓGRAFO, acquired 2025-07-18 to 2025-07-18, 107.8 cm per pixel, published on OpenAerialMap.

uav imagery by Rodolfo Vargas Chile. GEÓGRAFO, acquired 2025-07-19 to 2025-07-19, 4.0 cm per pixel, published on OpenAerialMap.

satellite imagery by Rodolfo Vargas Chile. GEÓGRAFO, acquired 2025-07-21 to 2025-07-21, 100 cm per pixel, published on OpenAerialMap.

satellite imagery by Rodolfo Vargas Chile. GEÓGRAFO, acquired 2025-07-21 to 2025-07-21, 103.5 cm per pixel, published on OpenAerialMap.

satellite imagery by Rodolfo Vargas Chile. GEÓGRAFO, acquired 2025-07-21 to 2025-07-21, 104.2 cm per pixel, published on OpenAerialMap.

uav imagery by Open Mapping Hub Asia-Pacific, acquired 2025-07-30 to 2025-07-30, 2.0 cm per pixel, published on OpenAerialMap.

uav imagery by Nikolay Nowitsky, acquired 2025-07-30 to 2025-07-30, 5.8 cm per pixel, published on OpenAerialMap.

uav imagery by Open Mapping Hub Asia-Pacific, acquired 2025-07-30 to 2025-07-30, 3.7 cm per pixel, published on OpenAerialMap.

uav imagery by Open Mapping Hub Asia-Pacific, acquired 2025-07-31 to 2025-07-31, 3.4 cm per pixel, published on OpenAerialMap.

uav imagery by Wikimedia Perú, acquired 2025-04-03 to 2025-04-03, 5.2 cm per pixel, published on OpenAerialMap.

uav imagery by Tommy Charles, acquired 2025-08-01 to 2025-08-01, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by Said Figueroa, acquired 2025-08-02 to 2025-08-02, 1.7 cm per pixel, published on OpenAerialMap.

satellite imagery by Juan Melo, acquired 2025-08-04 to 2025-08-04, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by Sean Frey, acquired 2025-08-04 to 2025-08-04, 3.7 cm per pixel, published on OpenAerialMap.