Beta 100 m Land Segment ATLAS/ICESat-2 L3A Land and Vegetation Height, Version 7 - December 2025 - March 2026

NOTICE: This is a beta service without operational support. It will be expanded in a future release to cover the historical and ongoing temporal record of ATL08. This map service is a GIS-ready version of the ATLAS/ICESat-2 L3A Land and Vegetation Height, Version 7 (ATL08) data set. ATL08 provides along-track estimates of terrain height, canopy height, and canopy cover, as well as beam and reference parameters, acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the ICESat-2 observatory. The complete ATL08 source data formatted as HDF5 files are available from the NASA NSIDC DAAC, along with user documentation and resources.  This beta map service displays ATL08 data as a series of georeferenced points arranged in linear "ground tracks." These ground tracks represent the 100 m land segments output from the algorithms applied to the photon return data collected by the ATLAS instrument as ICESat-2 orbits the Earth over its 91-day repeat cycle. As shown in the figure below, the ATLAS instrument measures data along six ground tracks (GT) arranged in 3 pairs (one "weak" beam and one "strong" beam in each pair). Each GT is numbered according to the relative location of the laser that generates it, along with L (left) or R (right). GT1L and GT1R form pair one, GT2L and GT2R form pair two, and GT3L and GT3R form pair three, with GT1L on the far left and GT3R on the far right relative to the satellite flight direction. Left/right beams within each pair are approximately 90 m apart with the pairs separated by 3.3 km in the across-track direction. The along-track laser spacing is ~70 cm. Algorithms produce parameters representing 100 m land segments in the along-track direction for each beam. Image source: Smith et al., 2019 - https://doi.org/10.1016/j.rse.2019.111352 Additional information about the ATLAS instrument, ICESat-2 satellite, and ground track naming conventions and geometry can be found in Appendix A of the ATLAS/ICESat-2 L3A Land and Vegetation Height, Version 7 User Guide. Available Parameters A selection of "core" parameters was chosen from the full suite of parameters available in the complete ATL08 source data. A list of the available core parameters, including canopy and terrain height, can be found in the technical specification document. When accessing the data through the web-based Map Viewer, these parameters are visible as a popup window when a single data point is selected. Note: where canopy data is absent, these parameters will not have values. Spatial Coverages and Resolution Spatial coverage is nearly global (approximately 88°N to 88°S). However, data are not produced for orbital segments that cross open ocean only (i.e., do not cross a land surface). The canopy and ground surfaces are processed in fixed 100 m data segments, which typically contain more than 100 signal photons but may in some cases contain less. Temporal Coverage and Resolution  9 December 2025 to 11 March 2026 Data are re-acquired along each of ATLAS/ICESat-2's 1,387 reference ground track every 91 days. This beta service presents a single 91-day satellite repeat cycle. Recommended Data Access Guidelines If you would like to access these data using ArcGIS Pro or QGIS, we recommend using the Feature Service, rather than the Map Service. When accessing the Map Service data using the web-based Map Viewer, we suggest the following settings be applied:Time Slider: Set temporal range to the full 91-day extent Visibility Range: Within the map properties window, ensure the current map scale (black triangle) is within the selected visibility range Recommended settings when using Map Viewer.  For in-depth data users who wish to perform customized data processing, we suggest using the full ATL08 source data, available from the NASA NSIDC DAAC as ATLAS/ICESat-2 L3A Land and Vegetation Height, Version 7.

NASA's Making Earth System Data Records for Use in Research Environments (MEaSUREs) Global Land Cover Mapping and Estimation (GLanCE) annual 30 meter (m) Version 1 data product provides global land cover and land cover change data derived from Landsat 5 Thematic Mapper (TM), Landsat 7 Enhanced Thematic Mapper Plus (ETM+), and Landsat 8 Operational Land Imager (OLI). These maps provide the user community with land cover type, land cover change, metrics characterizing the magnitude and seasonality of greenness of each pixel, and the magnitude of change. GLanCE data products will be provided using a set of seven continental grids that use Lambert Azimuthal Equal Area projections parameterized to minimize distortion for each continent. Currently, North America, South America, Europe, Oceania, and Africa are available. This dataset includes global land cover and land cover change data for the period 2001 to 2019. Africa is extended through 2021. GLanCE is useful for a wide range of applications, including ecosystem, climate, and hydrologic modeling; monitoring the response of terrestrial ecosystems to climate change; carbon accounting; and land management. The GLanCE data product provides seven layers: the land cover class, the estimated day of year of change, integer identifier for class in previous year, median and amplitude of the Enhanced Vegetation Index (EVI2) in the year, rate of change in EVI2, and the change in EVI2 median from previous year to current year. A low-resolution browse image representing EVI2 amplitude is also available for each granule. Known Issues * Version 1.0 of the data set does not include Quality Assurance, Leaf Type or Leaf Phenology. These layers are populated with fill values. These layers will be included in future releases of the data product. * All GLnanCE granules should contain 7 products except the year 2001, which contain 4, as there are no change products (chgDate, EVI2chg, prevClass) for the initial year of data. * Science Data Set (SDS) values may be missing, or of lower quality, at years when land cover change occurs. This issue is a by-product of the fact that Continuous Change Detection and Classification (CCDC) does not fit models or provide synthetic reflectance values during short periods of time between time segments. * The accuracy of mapping results varies by land cover class and geography. Specifically, distinguishing between shrubs and herbaceous cover is challenging at high latitudes and in arid and semi-arid regions. Hence, the accuracy of shrub cover, herbaceous cover, and to some degree bare cover, is lower than for other classes. * Due to the combined effects of large solar zenith angles, short growing seasons, lower availability of high-resolution imagery to support training data, the representation of land cover at land high latitudes in the GLanCE product is lower than in mid latitudes. * Shadows and large variation in local zenith angles decrease the accuracy of the GLanCE product in regions with complex topography, especially at high latitudes. * Mapping results may include artifacts from variation in data density in overlap zones between Landsat scenes relative to mapping results in non-overlap zones. * Regions with low observation density due to cloud cover, especially in the tropics, and/or poor data density (e.g. Alaska, Siberia, West Africa) have lower map quality. * Artifacts from the Landsat 7 Scan Line Corrector failure are occasionally evident in the GLanCE map product. * High proportions of missing data in regions with snow and ice at high elevations result in missing data in the GLanCE SDSs. * The GlanCE data product tends to modestly overpredict developed land cover in arid regions.

The Harmonized Landsat and Sentinel-2 (HLS) project takes input data from the joint NASA/USGS Landsat 8 and Landsat 9 satellites and the European Space Agency's Sentinel-2A, Sentinel-2B, and Sentinel-2C satellites to generate a harmonized, analysis-ready surface reflectance data product with observations every 1.6 days.  Intended Use: The frequent revisit times of HLS allow for time series of land surface applications at the field/plot scale, which supports a wide range of applications, including agricultural health, insect infestations, and natural hazard impacts. The HLSS30 and HLSL30 products are gridded to the same resolution and tiling system and thus are “stackable” for time series analysis. Key Properties: Geographic Coverage: Global Land Temporal Coverage: March 2026 - Present Spatial Resolution: 30-meter Revisit Time: ~1 Day Update Frequency: Daily Product Level: Level-3 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. 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) Limitations of Use: HLSL30 v2.0 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.  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

The Global Ecosystem Dynamics Investigation (GEDI) mission aims to characterize ecosystem structure and dynamics to enable radically improved quantification and understanding of the Earth’s carbon cycle and biodiversity. The GEDI instrument produces high resolution laser ranging observations of the 3-dimensional structure of the Earth. GEDI is attached to the International Space Station (ISS) and collects data globally between 51.6° N and 51.6° S latitudes at the highest resolution and densest sampling of any light detection and ranging (lidar) instrument in orbit to date. Each GEDI Version 2 granule encompasses one-fourth of an ISS orbit and includes georeferenced metadata to allow for spatial querying and subsetting. The GEDI instrument was removed from the ISS and placed into storage on March 17, 2023. No data were acquired during the hibernation period from March 17, 2023, to April 24, 2024. GEDI has since been reinstalled on the ISS and resumed operations as of April 26, 2024. The purpose of the GEDI Level 2A Geolocated Elevation and Height Metrics product (GEDI02_A) is to provide waveform interpretation and extracted products from each GEDI01_B received waveform, including ground elevation, canopy top height, and relative height (RH) metrics. The methodology for generating the GEDI02_A product datasets is adapted from the Land, Vegetation, and Ice Sensor (LVIS) algorithm. The GEDI02_A product is provided in HDF5 format and has a spatial resolution (average footprint) of 25 meters. The GEDI02_A data product contains 548 layers for each of the eight beams, including ground elevation, canopy top height, relative return energy metrics (e.g., canopy vertical structure), and many other interpreted products from the return waveforms. Additional information for the layers can be found in the GEDI Level 2A Dictionary. Known Issues * Data acquisition gaps: GEDI data acquisitions were suspended on December 19, 2019 (2019 Day 353) and resumed on January 8, 2020 (2020 Day 8). * Incorrect Reference Ground Track (RGT) number in the filename for select GEDI files: GEDI Science Data Products for six orbits on August 7, 2020, and November 12, 2021, had the incorrect RGT number in the filename. There is no impact to the science data, but users should reference this document for the correct RGT numbers. * Known Issues: Section 8 of the User Guide provides additional information on known issues.

GPM IMERG Final precipitation rate(GES DISC Dataset: GPM IMERG Final Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V07 (GPM_3IMERGHH 07))is derived from the Integrated Multi SatellitE Retrievals for GPM (Global Precipitation Measurement) algorithm. Precipitation rate measurements are taken from multiple satellite based passive microwave sensors in the GPM constellation. The Final Run IMERG data product is distinct in that it combines data from ground sources and satellite-based observations to provide research quality precipitation rate data. Precipitation rate is depicted in mm/hr in 30-minute intervals, beginning on January 1, 1998. The "Final", satellite-gauge product is available ~3.5 months after the observation month, and includes both forward and backward morphing and monthly gauge analyses. In the post-real-time Final Run, the multi-satellite half-hourly estimates are adjusted so that they sum to the Final Run monthly satellite-gauge combination. Briefly describing the Final Run, the input precipitation estimates computed from the various satellite passive microwave sensors are inter-calibrated to the Combined Radar-Radiometer Algorithm (CORRA) product (because it is presumed to be the best snapshot Tropical Rainfall Measuring Mission (TRMM)/GPM estimate after adjustment to the monthly Global Precipitation Climatology Project Satellite-Gauge (GPCP SG)), then "forward/backward morphed" and combined with microwave precipitation-calibrated geo-IR fields, and adjusted with seasonal GPCP SG surface precipitation data to provide half-hourly and monthly precipitation estimates.   Dataset at a Glance Shortname: GPM_3IMERGHH DOI: 10.5067/GPM/IMERG/3B-HH/07 Version: 07 Coverage: -180.0,-90.0,180.0,90.0 Temporal Coverage: 1998-01-01 to Present Data Resolution Spatial: 0.1 ° x 0.1 ° Temporal: 30 minutes   Symbology The default symbology in the Web Map Viewer may be changed to accommodate other color schemes using the settings in the Image Display panel from the layer settings menu. Ensure that pop-ups are enabled to view pixel values (select Modify Map first).   Temporal Coverage The source dataset is in UTC time, but the service is displayed in the Map Viewer in local time. The data is available in 30-minute intervals, and the map visualization may be modified by opening the Time Slider Settings menu from the icon on the time slider bar. The total temporal coverage may be limited to the desired range and the time interval may also be changed. The options in the time interval units are based on the total time range input, so a shorter time range will enable shorter time units to be selected from the time interval drop-down. If the time settings are set to more than 30-minute intervals, the first time slice in the time interval is visible.   Portal Options Select Modify Map to customize the layer visualization. More information about the image service capabilities may be found in the REST endpoint. In the portal, the basemap may be changed by selecting the desired option from the Basemap menu.

The Harmonized Landsat and Sentinel-2 (HLS) project takes input data from the joint NASA/USGS Landsat 8 and Landsat 9 satellites and the European Space Agency's Sentinel-2A, Sentinel-2B, and Sentinel-2C satellites to generate a harmonized, analysis-ready surface reflectance data product with observations every 1.6 days.  Intended Use: The frequent revisit times of HLS allow for time series of land surface applications at the field/plot scale, which supports a wide range of applications, including agricultural health, insect infestations, and natural hazard impacts. The HLSS30 and HLSL30 products are gridded to the same resolution and tiling system and thus are “stackable” for time series analysis. Key Properties: Geographic Coverage: Global Land Temporal Coverage: May 2026 - Present Spatial Resolution: 30-meter Revisit Time: ~1 Day Update Frequency: Daily Product Level: Level-3 Source Data Coordinate System: Universal Transverse Mercator (UTM) WGS84 Service Coordinate System: Web Mercator Auxiliary Sphere (EPSG:3857) Multispectral Bands Name Description Units Data Type Fill Value Scale Factor Band 1Coastal AerosolN/Aint16-99990.0001 Band 2BlueN/Aint16-99990.0001 Band 3GreenN/Aint16-99990.0001 Band 4RedN/Aint16-99990.0001 Band 5Red Edge 1N/Aint16-99990.0001 Band 6Red Edge 2N/Aint16-99990.0001 Band 7Red Edge 3N/Aint16-99990.0001 Band 8NIR BroadN/Aint16-99990.0001 Band 8ANIR NarrowN/Aint16-99990.0001 Band 9Water VaporN/Aint16-99990.0001 Band 10CirrusN/Aint16-99990.0001 Band 11SWIR 1N/Aint16-99990.0001 Band 12SWIR 2N/Aint16-99990.0001 FmaskQuality BitsBit Fielduint8255N/A SAASun Azimuth AngleDegreeuint16400000.01 Processing 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. 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) Limitations of Use: HLSS30 v2.0 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.  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.