Global imagery and land cover data

This Collection provides Sentinel-3 SRAL Level-2 Land Altimetry Sea Ice products, which contains estimations of the radar freeboard over the Arctic and Antarctic sea ice.

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

This Collection provides Sentinel-5P Level-2 SO2 products, which contains high-resolution imagery of atmospheric sulfur dioxide concentrations.

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

This Collection provides Sentinel-5P Level-2 O3 TCL products, which contains high-resolution imagery of tropospheric ozone concentrations.

This Collection provides Sentinel-5P Level-2 O3 products, which contains high-resolution imagery of total column ozone concentrations.

This Collection provides Sentinel-5P Level-2 AER AI products, which contains high-resolution imagery of the UV Aerosol Index (UVAI), also called the Absorbing Aerosol Index (AAI).

Overview: OPERA Level-3 Dynamic Surface Water Extent (DSWx) product from Harmonized Landsat-8/9 and Sentinel-2A/B/C (HLS), processed and developed by OPERA (JPL/USGS). Values for B01 WTR are a masked interpreted water classification layer. This represents pixel-wise classification into one of three water classes (not water, open water, and partial surface water), HLS snow/ice, HLS cloud/cloud shadow and adjacent to cloud/cloud shadow, or no data classes.   This dataset contains Level-3 Dynamic OPERA surface water extent product version 1. The data are validated surface water extent observations beginning April 2023. Known issues and caveats on usage are described in the Product Documentation. The input dataset for generating each product is the Harmonized Landsat-8 and Sentinel-2A/B/C (HLS) product version 2.0. HLS products provide surface reflectance (SR) data from the Operational Land Imager (OLI) aboard the Landsat 8 satellite and the MultiSpectral Instrument (MSI) aboard the Sentinel-2A/B/C satellite. This EGIS service offers access to the water classification data layer.   More information about the dataset is available at https://www.earthdata.nasa.gov/data/catalog/pocloud-opera-l3-dswx-hls-v1-1.0 OPERA was informed by the Satellite Needs Working Group (SNWG), an interagency effort of the U.S. Government dedicated to identifying and addressing Earth observation needs across U.S. civilian federal agencies. Specifications: Temporal coverage: January 1, 2023 – Present Version: 1.0 Spatial Resolution: 3,660 rows and 3,660 columns at 30-m pixel spacing Processing Level: 3 Spatial coverage/reference: Near Global (N: 84 S: -84 E: 180 W: -180) coverage distributed over a projected map coordinate using the Universal Transverse Mercator (UTM) projection (109.8 km × 109.8 km) (EPSG:3857). Sensor: The input dataset for generating each product is the Harmonized Landsat-8 and Sentinel-2A/B/C (HLS) product version 2.0. HLS products provide surface reflectance (SR) data from the Operational Land Imager (OLI) aboard the Landsat 8 satellite and the MultiSpectral Instrument (MSI) aboard the Sentinel-2A/B/C satellite. Time interval: Daily Time standard: Coordinated Universal Time (UTC) Update frequency: Updated daily (based on ~3-day satellite acquisition latency)   Fields  objectid: The unique, internal database ID for the specific image. name: The granule/filename of the scene. minps, maxps, lowps, highps: "Pixel Spacing (ps)" metrics used by the ArcGIS server's backend to decide at what zoom levels the image should be visible on a map. category: A backend GIS tag indicating the type of raster (1 for primary data/source raster & 2 for overviews). centerx & centery: The precise center point (Longitude and Latitude) of the image footprint. shape: The geographic footprint of the image. processingdate: The date and time the image was uploaded and processed into the image service. tileid: The specific tile identifier of the product, which is also the tile ID of the input HLS product in the Military Grid Reference System (MGRS). (e.g., T11SPA or T12STF). datetime: The acquisition date and time derived from the input HLS granule name. productgenerationdatetime: The date and time at which the product was generated by OPERA. cloud_coverage: The percentage of pixels that is obscured by clouds. spacecraft_name: The name of the sensor platform (e.g., Landsat-8, Sentinel-2A, Sentinel-2B). downloadurl: The direct web link to download the individual data file (requires NASA Earthdata authentication). urldisplay: A secondary URL field sometimes used by web maps to generate clickable links in pop-up windows. Colormap: Values for the B01 WTR layer are a masked interpreted water classification layer. This represents pixel-wise classification into one of three water classes (not water, open water, and partial surface water), HLS snow/ice, HLS cloud/cloud shadow and adjacent to cloud/cloud shadow, or no data classes.  Intended Use: This service provides the ability to perform temporal trend analysis, zonal statistics, and to track dynamic water volume/extent changes over time.    Limitations of Use: If opening with the MapViewer in the browser, due to the size of the underlying data, it can take a few minutes for the data to render on the map. Tips: zoom into your area of interest on the map; and/or change time slider settings - see the PODAAC Cookbook tutorial.  Known issues and caveats on usage are described in the Product Documentation. Contact: If you have feedback on this service, please provide them via this form. For questions about this service, please contact podaac@podaac.jpl.nasa.gov For tutorials on using this service, please visit the PO.DAAC Cookbook.

Overview The HLSL30 product provides 30-m Nadir Bidirectional Reflectance Distribution Function (BRDF)-Adjusted Reflectance (NBAR) and is derived from Landsat 8/9 OLI data products. The HLSS30 and HLSL30 products are gridded to the same resolution and Military Grid Reference System (MGRS) tiling system and thus are “stackable” for time series analysis. Intended use Provides on‑demand access to harmonized Landsat and Sentinel‑2 imagery for visualization and analysis without requiring users to download large datasets. Enabling time‑filtered, area‑specific queries, and dynamic processing useful for monitoring land, vegetation, and water changes. Limitations of Use HLSL30 v02 data contain several known limitations related to atmospheric correction, cloud masking, geolocation, and metadata that users should carefully consider before analysis. A full description of these known issues is available here. Latency: Imagery tiles are configured to render at a 150 meter scale. Dynamic Mosaic rendering can take an extended period of time. Overview Tiles: This service uses overview tiles for any rendering greater than 150 meter scale using the most recent "best" granules within two weeks. These are static images that persist throughout temporal range queries unless within the specified scale. Current pop ups are configured to display "_overview_" in the tile name and have a category of "Overview".  If opening with the MapViewer in the browser, due to the size of the underlying data, it can take a few minutes for the data to render on the map. Tips: zoom into your area of interest on the map and/or change time slider settings Key Properties: Geographic Coverage: Global Land Temporal Coverage: April 2013 - present Spatial Resolution: 30-meter Revisit Time: ~1.6 Days Update Frequency: Daily Product Level: Level-3 Version: 2.0 Source Data Coordinate System: Universal Transverse Mercator (UTM) WGS84 Service Coordinate System: Web Mercator Auxiliary Sphere (EPSG:3857) Multispectral Bands NameDescriptionUnitsData TypeFill ValueScale FactorBand 1Coastal AerosolN/Aint16-99990.0001Band 2BlueN/Aint16-99990.0001Band 3GreenN/Aint16-99990.0001Band 4RedN/Aint16-99990.0001Band 5NIRN/Aint16-99990.0001Band 6SWIR 1N/Aint16-99990.0001Band 7SWIR 2N/Aint16-99990.0001Band 9CirrusN/Aint16-99990.0001Band 10TIRS 1N/Aint16-99990.01Band 11TIRS 2N/Aint16-99990.01FmaskQuality BitsBit Fielduint8255N/ASAASun Azimuth AngleDegreeuint16400000.01SZASun Zenith AngleDegreeuint16400000.01VAAView Azimuth AngleDegreeuint16400000.01VZAView Zenith AngleDegreeuint16400000.01Processing Templates Server-side renderings available on this layer (select via the Rendering / Image Display options). The default rendering is Natural Color. Band-combination templates are for visualization; index templates (NDVI, NDWI, NBR, NDBI) return values suitable for analysis. "DRA" applies dynamic range adjustment; "Cloud Mask" variants suppress pixels flagged by the Fmask quality band. Bathymetric — Bands red, green, coastal/aerosol(4, 3, 1) with fixed stretched applied. Useful in bathymetric mapping applicaitons. (also available: Cloud Mask, DRA, DRA and Cloud Mask) Color Infrared — Bands near-infrared, red, green (5,4,3) with fixed stretch applied. Healthy vegetation is bright red while stressed vegetation is dull red. (also available: Cloud Mask, DRA, DRA and Cloud Mask) Geology — Bands shortwave IR-2, shortwave IR-1, blue (7, 6, 2) with fixed stretched applied. Highlights geological features. (also available: Cloud Mask, DRA, DRA and Cloud Mask) NDVI Colormap — Normalized difference vegetation index (NDVI) with colormap. Dark green represents vigorous vegetation and brown represents sparse vegetation. It is computed as (b5 - b4) / (b5 + b4) and is suitable for vegetation, land cover and plant health monitoring. (also available: Cloud Mask) NDVI Raw — Normalized difference vegetation index (NDVI) computed as (b5 - b4) / (b5 + b4) and is suitable for vegetation, land cover and plant health monitoring. (also available: Cloud Mask) NDWI Raw — The NDWI index is computed as Green(Band03)-NIR(Band05)/ Green(Band03)+NIR(Band05) and is most suitable for mapping of water bodies, droughts, boundary evaluation. Water bodies have strong absorbability and low radiation within the visible to infrared spectral ranges and this index is based on this phenomenon. (also available: Cloud Mask) Natural Color — Natural Color bands red, green, blue(4, 3, 2) displayed with fixed stretch applied. (also available: Cloud Mask, DRA, DRA and Cloud Mask) Normalized Burn Ratio — The NBR index is computed as NIR(Band05)-SWIR(Band7)/NIR(Band05)+SWIR(Band7) and appropriate for highlighting burned areas and estimating fire severity. It highlights burnt areas in fire zones greater than 500 acres. You will need to generate a differenced NBR image by subtracting a post-fire image from a pre-fire image. The resulting darker pixels represent burned areas. (also available: Cloud Mask) Normalized Difference Built-Up Index — The NDBI index is computed as SWIR(Band6)-NIR(Band05)/ SWIR(Band6)+NIR(Band05) and is suitable for watershed runoff predictions, tracking urbananisation and land-use planning. It highlights urban areas with higher reflectance in the SWIR region, compared to the NIR region. This index also contains a cloud mask. (also available: Cloud Mask) Short-wave Infrared — Bands shortwave infrared-2, shortwave infrared-1, red (7, 6, 4) with fixed stretch. (also available: Cloud Mask, DRA, DRA and Cloud Mask) Resource Links: Download Data User Guide General Documentation For inquiries about this service, please contact support@earthdata.nasa.gov or post/view questions on the Earthdata Forum Citation: Neigh, C., Ju, J., Roger, J.-C., Skakun, S., Vermote, E., Claverie, M., Dungan, J., Yin, Z., Freitag, B., & Justice, C. (2021). HLS Operational Land Imager Surface Reflectance and TOA Brightness Daily Global 30m v2.0 [Dataset]. NASA Land Processes Distributed Active Archive Center. https://doi.org/10.5067/HLS/HLSL30.002

Overview The HLSS30 product provides 30-m Nadir Bidirectional Reflectance Distribution Function (BRDF)-Adjusted Reflectance (NBAR) and is derived from Sentinel-2A, Sentinel-2B, and Sentinel-2C MSI data products. The HLSS30 and HLSL30 products are gridded to the same resolution and Military Grid Reference System (MGRS) tiling system and thus are “stackable” for time series analysis. Intended use Provides on‑demand access to harmonized Landsat and Sentinel‑2 imagery for visualization and analysis without requiring users to download large datasets. Enabling time‑filtered, area‑specific queries, and dynamic processing useful for monitoring land, vegetation, and water changes. Limitations of Use HLSS30 v02 data contain several known limitations related to atmospheric correction, cloud masking, geolocation, and metadata that users should carefully consider before analysis. A full description of these known issues is available here. Latency: Imagery tiles are configured to render at a 150 meter scale. Dynamic Mosaic rendering can take an extended period of time. Overview Tiles: This service uses overview tiles for any rendering greater than 150 meter scale using the most recent "best" granules within two weeks. These are static images that persist throughout temporal range queries unless within the specified scale. Current pop ups are configured to display "_overview_" in the tile name and have a category of "Overview".  If opening with the MapViewer in the browser, due to the size of the underlying data, it can take a few minutes for the data to render on the map. Tips: zoom into your area of interest on the map and/or change time slider settings Key Properties: Geographic Coverage: Global Land Temporal Coverage: November 2015 - present Spatial Resolution: 30-meter Revisit Time: ~1.6 Days Update Frequency: Daily Product Level: Level-3 Version: 2.0 Source Data Coordinate System: Universal Transverse Mercator (UTM) WGS84 Service Coordinate System: Web Mercator Auxiliary Sphere (EPSG:3857) Multispectral Bands NameDescriptionUnitsData TypeFill ValueScale FactorBand 1Coastal AerosolN/Aint16-99990.0001Band 2BlueN/Aint16-99990.0001Band 3GreenN/Aint16-99990.0001Band 4RedN/Aint16-99990.0001Band 5Red Edge 1N/Aint16-99990.0001Band 6Red Edge 2N/Aint16-99990.0001Band 7Red Edge 3N/Aint16-99990.0001Band 8NIR BroadN/Aint16-99990.0001Band 8ANIR NarrowN/Aint16-99990.0001Band 9Water VaporN/Aint16-99990.0001Band 10CirrusN/Aint16-99990.0001Band 11SWIR 1N/Aint16-99990.0001Band 12SWIR 2N/Aint16-99990.0001FmaskQuality BitsBit Fielduint8255N/ASAASun Azimuth AngleDegreeuint16400000.01SZASun Zenith AngleDegreeuint16400000.01VAAView Azimuth AngleDegreeuint16400000.01VZAView Zenith AngleDegreeuint16400000.01Processing Templates Server-side renderings available on this layer (select via the Rendering / Image Display options). The default rendering is Natural Color. Band-combination templates are for visualization; index templates (NDVI, NDWI, NBR, NDBI) return values suitable for analysis. "DRA" applies dynamic range adjustment; "Cloud Mask" variants suppress pixels flagged by the Fmask quality band. Bathymetric — Bands red, green, coastal/aerosol(4, 3, 1) with fixed stretched applied. Useful in bathymetric mapping applicaitons. (also available: Cloud Mask, DRA, DRA and Cloud Mask) Color Infrared — Bands near-infrared, red, green (5,4,3) with fixed stretch applied. Healthy vegetation is bright red while stressed vegetation is dull red. (also available: Cloud Mask, DRA, DRA and Cloud Mask) Geology — Bands shortwave IR-2, shortwave IR-1, blue (7, 6, 2) with fixed stretched applied. Highlights geological features. (also available: Cloud Mask, DRA, DRA and Cloud Mask) NDVI Colormap — Normalized difference vegetation index (NDVI) with colormap. Dark green represents vigorous vegetation and brown represents sparse vegetation. It is computed as (b5 - b4) / (b5 + b4) and is suitable for vegetation, land cover and plant health monitoring. (also available: Cloud Mask) NDVI Raw — Normalized difference vegetation index (NDVI) computed as (b5 - b4) / (b5 + b4) and is suitable for vegetation, land cover and plant health monitoring. (also available: Cloud Mask) NDWI Raw — The NDWI index is computed as Green(Band03)-NIR(Band05)/ Green(Band03)+NIR(Band05) and is most suitable for mapping of water bodies, droughts, boundary evaluation. Water bodies have strong absorbability and low radiation within the visible to infrared spectral ranges and this index is based on this phenomenon. (also available: Cloud Mask) Natural Color — Natural Color bands red, green, blue(4, 3, 2) displayed with fixed stretch applied. (also available: Cloud Mask, DRA, DRA and Cloud Mask) Normalized Burn Ratio — The NBR index is computed as NIR(Band05)-SWIR(Band7)/NIR(Band05)+SWIR(Band7) and appropriate for highlighting burned areas and estimating fire severity. It highlights burnt areas in fire zones greater than 500 acres. You will need to generate a differenced NBR image by subtracting a post-fire image from a pre-fire image. The resulting darker pixels represent burned areas. (also available: Cloud Mask) Normalized Difference Built-Up Index — The NDBI index is computed as SWIR(Band6)-NIR(Band05)/ SWIR(Band6)+NIR(Band05) and is suitable for watershed runoff predictions, tracking urbananisation and land-use planning. It highlights urban areas with higher reflectance in the SWIR region, compared to the NIR region. This index also contains a cloud mask. (also available: Cloud Mask) Short-wave Infrared — Bands shortwave infrared-2, shortwave infrared-1, red (7, 6, 4) with fixed stretch. (also available: Cloud Mask, DRA, DRA and Cloud Mask) Resource Links: Download Data User Guide General Documentation For inquiries about this service, please contact support@earthdata.nasa.gov or post/view questions on the Earthdata Forum Citation: Neigh, C., Ju, J., Roger, J.-C., Skakun, S., Vermote, E., Claverie, M., Dungan, J., Yin, Z., Freitag, B., & Justice, C. (2021). HLS Sentinel-2 Multi-spectral Instrument Surface Reflectance Daily Global 30m v2.0 [Dataset]. NASA Land Processes Distributed Active Archive Center. https://doi.org/10.5067/HLS/HLSS30.002

The European Space Agency (ESA) WorldCover product provides global land cover maps for the years 2020 and 2021 at 10 meter resolution based on the combination of Sentinel-1 radar data and Sentinel-2 imagery. The discrete classification maps provide 11 classes defined using the Land Cover Classification System (LCCS) developed by the United Nations (UN) Food and Agriculture Organization (FAO). The map images are stored in cloud-optimized GeoTIFF format. The WorldCover product is developed by a consortium of European service providers and research organizations. VITO (Belgium) is the prime contractor of the WorldCover consortium together with Brockmann Consult (Germany), CS SI (France), Gamma Remote Sensing AG (Switzerland), International Institute for Applied Systems Analysis (Austria), and Wageningen University (The Netherlands). Two versions of the WorldCover product are available: - WorldCover 2020 produced using v100 of the algorithm - WorldCover 2020 v100 User Manual - [WorldCover 2020 v100 Validation Report]() - WorldCover 2021 produced using v200 of the algorithm - [WorldCover 2021 v200 User Manual]() - [WorldCover 2021 v200 Validaton Report]() Since the WorldCover maps for 2020 and 2021 were generated with different algorithm versions (v100 and v200, respectively), changes between the maps include both changes in real land cover and changes due to the used algorithms.

Overview  Modified Anthocyanin Reflectance Index (mARI) from the NASA Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) Ocean Color Instrument (OCI). mARI describes the canopy content of anthocyanins in terrestrial vegetation. mARI is calculated as ((1/R550)-(1/R705))*R800, where R550, R705, and R800 are the surface reflectance at 550, 705 and 800 nanometers (nm), respectively (Gitelson et al. 2007). 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 Modified Anthocyanin Reflectance Index (mARI) Measure of terrestrial canopy anthocyanin content, a photoprotective pigment. mARI 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 mARI products available here from NASA Earthdata in NetCDF format. Earthdata account required. Each NetCDF file includes all 10 PACE vegetation indexes, including mARI. 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 mARI 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 mARI. Intended Use: What can I do with this layer? There are three major classes of plant pigments: chlorophylls, carotenoids, and anthocyanins. The mARI product provides information on changes in vegetation anthocyanin content and photophysiological status. Anthocyanins play a variety of roles in plants and are a common pigment in all leaves. For certain species or growth stages anthocyanins may even become the dominant type of pigment. Anthocyanins can alter the light environment within a leaf and thus regulate photosynthesis and limit photoinhibition and photobleaching. Beyond photoprotection, anthocyanins may provide some protection from freezing and drought stress as well as aid recovery after injury. The time (8 day average) and space (2 km2) resolution of this data layer enables 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 Gitelson, A. A., Merzlyak, M. N., and Chivkunova, O. B. (2007) Optical properties and nondestructive estimation of anthocyanin content in plant leaves. Photochemistry and Photobiology, 74(1):38–45. https://doi.org/10.1562/0031-8655(2001)0740038OPANEO2.0.CO2 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-5P Level-2 CO products, which contains high-resolution imagery of carbon monoxide concentrations.

uav imagery by WebODM, acquired 2026-01-06 to 2026-01-06, 5.9 cm per pixel, published on OpenAerialMap.

uav imagery by WebODM, acquired 2026-01-02 to 2026-01-02, 4.4 cm per pixel, published on OpenAerialMap.

This Collection provides Sentinel-5P Level-2 CH4 products, which contains high-resolution imagery of methane concentrations.

OPERA Level-2 Radiometric Terrain Corrected (RTC) products in VH polarization generated from Sentinel-1 SAR imagery, processed by OPERA (JPL). Values for the VH (cross-polarized) polarization are generally driven by volume scattering, with more complex volume scatterers (such as dense vegetation) returning higher backscatter values. Surface water generally appears very dark, as it is predominantly a surface scatterer; most returns remain in the primary polarization. OPERA RTC-S1 data is available over all landmasses (excluding Antarctica) for Sentinel-1 acquisitions starting April 14, 2016, but only products from October 4, 2023, onward are included in this image service. The source rasters referenced in this service are hosted by the Alaska Satellite Facility in NASA's Earthdata Cloud, and the service is updated daily to include new products. More information about the dataset is available at https://asf.alaska.edu/datasets/daac/opera/. OPERA includes partners from NASA’s Goddard Space Flight Center, the U.S. Geological Survey (USGS), the University of Maryland College Park, the University of Alaska Fairbanks, Southern Methodist University, and EarthScope. Refer to https://www.jpl.nasa.gov/go/opera for more details.  This service is still under development. Please contact hjkristenson@alaska.edu if you encounter any problems.

Overview: OPERA Level-3 Dynamic Surface Water Extent (DSWx) product from Harmonized Landsat-8/9 and Sentinel-2A/B/C (HLS), processed and developed by OPERA (JPL/USGS). A representation of the confidence associated with the WTR classification that is based on a combination of Diagnostic Layer (DIAG) results and quality assurance information provided with the input HLS data. For example, the Open water class of the WTR layer is split into two classes: High Confidence and Moderate Confidence while WTR Partial surface water Class pixels of WTR are flagged as either Partial surface water Conservative or Partial surface water Aggressive, with the latter exhibiting less certainty. As in the WTR layers, pixels for which water retrievals are difficult or impossible due to HLS snow/ice, HLS cloud/shadow, or fill values are also noted in the CONF layer.   This dataset contains Level-3 Dynamic OPERA surface water extent product version 1. The data are validated surface water extent observations beginning January 2023. Known issues and caveats on usage are described in the Product Documentation. The input dataset for generating each product is the Harmonized Landsat-8 and Sentinel-2A/B/C (HLS) product version 2.0. HLS products provide surface reflectance (SR) data from the Operational Land Imager (OLI) aboard the Landsat 8 satellite and the MultiSpectral Instrument (MSI) aboard the Sentinel-2A/B/C satellite. This EGIS service offers access to the confidence data layer. More information about the dataset is available at https://www.earthdata.nasa.gov/data/catalog/pocloud-opera-l3-dswx-hls-v1-1.0   OPERA was informed by the Satellite Needs Working Group (SNWG), an interagency effort of the U.S. Government dedicated to identifying and addressing Earth observation needs across U.S. civilian federal agencies.   Specifications: Temporal coverage: January 1, 2023 – Present Version: 1.0 Spatial Resolution: 3,660 rows and 3,660 columns at 30-m pixel spacing Processing Level: 3 Spatial coverage/reference: Near Global (N: 84 S: -84 E: 180 W: -180) coverage distributed over a projected map coordinate using the Universal Transverse Mercator (UTM) projection (109.8 km × 109.8 km) (EPSG:3857). Sensor: The input dataset for generating each product is the Harmonized Landsat-8 and Sentinel-2A/B/C (HLS) product version 2.0. HLS products provide surface reflectance (SR) data from the Operational Land Imager (OLI) aboard the Landsat 8 satellite and the MultiSpectral Instrument (MSI) aboard the Sentinel-2A/B/C satellite. Time interval: Daily Time standard: Coordinated Universal Time (UTC) Update frequency: Updated daily (based on ~3-day satellite acquisition latency)   Fields  objectid: The unique, internal database ID for the specific image. name: The granule/filename of the scene. minps, maxps, lowps, highps: "Pixel Spacing (ps)" metrics used by the ArcGIS server's backend to decide at what zoom levels the image should be visible on a map. category: A backend GIS tag indicating the type of raster (1 for primary data/source raster & 2 for overviews). centerx & centery: The precise center point (Longitude and Latitude) of the image footprint. shape: The geographic footprint of the image. processingdate: The date and time the image was uploaded and processed into the image service. tileid: The specific tile identifier of the product, which is also the tile ID of the input HLS product in the Military Grid Reference System (MGRS). (e.g., T11SPA or T12STF). datetime: The acquisition date and time derived from the input HLS granule name. productgenerationdatetime: The date and time at which the product was generated by OPERA. cloud_coverage: The percentage of pixels that is obscured by clouds. spacecraft_name: The name of the sensor platform (e.g., Landsat-8, Sentinel-2A, Sentinel-2B). downloadurl: The direct web link to download the individual data file (requires NASA Earthdata authentication). urldisplay: A secondary URL field sometimes used by web maps to generate clickable links in pop-up windows. Colormap: The B03 CONF layer is a representation of the confidence associated with the WTR classification that is based on a combination of Diagnostic Layer (DIAG) results and quality assurance information provided with the input HLS data. For example, the Open water class of the WTR layer is split into two classes: High Confidence and Moderate Confidence while WTR Partial surface water Class pixels of WTR are flagged as either Partial surface water Conservative or Partial surface water Aggressive, with the latter exhibiting less certainty. As in the WTR layers, pixels for which water retrievals are difficult or impossible due to HLS snow/ice, HLS cloud/shadow, or fill values are also noted in the CONF layer.  Intended Use: This service provides the ability to perform temporal trend analysis, zonal statistics, and to track dynamic water volume/extent changes over time.    Limitations of Use: If opening with the MapViewer in the browser, due to the size of the underlying data, it can take a few minutes for the data to render on the map. Tips: zoom into your area of interest on the map; and/or change time slider settings - see the PODAAC Cookbook tutorial.  Known issues and caveats on usage are described in the Product Documentation. Contact: If you have feedback on this service, please provide them via this form. For questions about this service, please contact podaac@podaac.jpl.nasa.gov For tutorials on using this service, please visit the PO.DAAC Cookbook.

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

This Collection provides Sentinel-5P Level-2 NP BD6 products, which contains information on cloud and scene homogeneity.

aircraft imagery by Andre Chouin, acquired 2025-04-03 to 2025-04-03, 3.9 cm per pixel, published on OpenAerialMap.

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

This Collection provides Sentinel-5P Level-2 O3 products, which contains high-resolution imagery of total column ozone concentrations.

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

The Sentinel-6 P4 Level 1B Non Time Critical (NTC) product delivers the highest quality ocean surface measurements (sea surface height, wind speed, and wave height), designed for climate research and long-term monitoring. The data are organized by full satellite passes and delivered within 60 days of acquisition. The product is provided in NetCDF format and is subject to reprocessing to maintain consistency with evolving standards.

This Collection provides Sentinel-5P Level-2 NP BD3 products, which contains information on cloud and scene homogeneity.

This Collection provides Sentinel-3 SRAL Level-2 Ocean Altimetry products, which contain data on ocean radar altimetry measurements.

The Sentinel-6 AMR-C Near Real-Time (NRT) product provides low-latency measurements of brightness temperatures at 18.7, 23.8, and 34 GHz, acquired with linear polarisation. These data enable rapid estimation of wet tropospheric path delay and atmospheric attenuation corrections for altimetry in near real-time. The product is segmented into 10-minute granules and delivered within three hours of acquisition, supporting operational sea level and weather forecasting systems.

This Collection provides Sentinel-3 SRAL Level-2 Land Altimetry Sea Ice products, which contains estimations of the radar freeboard over the Arctic and Antarctic sea ice.

This Collection provides Sentinel-5P Level-2 SO2 products, which contains high-resolution imagery of atmospheric sulfur dioxide concentrations.

This Collection provides Sentinel-5P Level-2 CO products, which contains high-resolution imagery of carbon monoxide concentrations.

uav imagery by Leo Vanualailai, acquired 2026-06-11 to 2026-06-11, 7.1 cm per pixel, published on OpenAerialMap.

This Collection provides Sentinel-5P Level-2 CO products, which contains high-resolution imagery of carbon monoxide concentrations.

This Collection provides Sentinel-5P Level-2 O3 PR products, which contains ozone concentration for 33 levels in the atmosphere.

The Level-1C product is composed of 110x110 km2 tiles (ortho-images in UTM/WGS84 projection). Earth is subdivided on a predefined set of tiles, defined in UTM/WGS84 projection and using a 100 km step. However, each tile has a surface of 110x110 km² in order to provide large overlap with the neighbouring. The Level-1C product results from using a Digital Elevation Model (DEM) to project the image in cartographic geometry. Per-pixel radiometric measurements are provided in Top Of Atmosphere (TOA) reflectances along with the parameters to transform them into radiances.

uav imagery by WebODM, acquired 2026-01-02 to 2026-01-02, 4.2 cm per pixel, published on OpenAerialMap.