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34 results for “ICESat-2”
Supraglacial lake depths from ICESat-2 and multiple imagery sources over Western Greenland
<p>Included are supraglacial lake depths over Western Greenland during 2019 derived from ICESat-2 laser altimetry and multiple imagery sources including PlanetScope, Planet SkySat, Sentinel-2 and Landsat OLI. This is associated with publication (currently submitted) "Supraglacial lake bathymetry automatically derived from ICESat-2 constraining lake depth estimates from multi-source imagery"</p>
3D-LAKES: A Three-Dimensional Global Lake and Reservoir Bathymetry Utilizing ICESat-2 Altimetry and Landsat Imagery
<p>This study introduces the 3D-Global Lakes (3D-LAKES) dataset, which includes the area-elevation (A-E) relationship and three-dimensional bathymetry for 510,530 global lakes and reservoirs, representing 98.9% of global surface water storage capacity. In this Zenodo, Level 1 (L1) and Level 2 (L2) A-E relationships are provided. L1 products were created using ICESat-2 and Landsat satellites, while L2 products, apply interpolation and extrapolation to L1 products, may contain errors. For detailed structure and format information, please read the "README" file included in the repository.</p> <p>Furthermore,</p> <p>You can view the A–E relationships and 3D bathymetry maps interactively through the Google Earth Engine (GEE) application. Please visit <a href="https://planet-test-projectchi.projects.earthengine.app/view/d-lakes" target="_new" rel="noreferrer">this link</a>.</p> <p>For downloading the 3D Bathymetry maps, please visit either the <strong><a href="https://code.earthengine.google.com/071edead921f56ae44f67888528f854c" target="_blank" rel="noopener">Google Earth Engine (GEE) code</a></strong> or the <strong><a href="https://colab.research.google.com/drive/15yRD3E06zmsm4tAF-mBz-DhHvIKNq1Lh?usp=drive_link" target="_blank" rel="noopener">Python version</a></strong> of the code.</p> <p>For detailed methodology and validation, see Huang (2025)*.</p> <p>Huang, C.H., Zhang, S., Shah, D. <em>et al.</em> 3D-LAKES: Three-Dimensional Global Lake and Reservoir Bathymetry from ICESat-2 Altimetry and Landsat Imagery. <em>Sci Data</em> <strong>12</strong>, 1625 (2025). https://doi.org/10.1038/s41597-025-05911-y</p> <p> </p>
ICESat-2 Calibration/Validation LVIS L1B Georeferenced Imagery V001
This data set contains georeferenced imagery from the NASA Land, Vegetation, and Ice Sensor (LVIS) PhaseOne medium-format camera, which was operated on high-altitude segments of flights during the ICESat-2 2022 Arctic Summer calibration campaign.
ICESat-2 Derived Sea Ice Melt Pond Characteristics from the Density-Dimension Algorithm V003
This data set provides locations and depths of melt ponds in the Multi-Year Arctic Sea Ice Region, calculated from ATLAS/ICESat-2 L2A Global Geolocated Photon Data, Version 5 (ATL03) using an autoadaptive algorithm.
ICESat-2 L4 Monthly Gridded Sea Ice Thickness V003
This data set reports monthly, gridded winter sea ice thickness across the Arctic Ocean. Sea ice thickness is estimated using ATLAS/ICESat-2 L3A Sea Ice Freeboard (ATL10) Version 6 data and NASA Eulerian Snow On Sea Ice Model (NESOSIM) snow loading.
ICESat-2 L4 Grounding Zone for Antarctic Ice Shelves V001
This data set provides an Antarctic ice shelf grounding zone geolocation product, including the landward limit of ice flexure caused by ocean tidal movement (Point F), the seaward limit of ice flexure (Point H), and the break in surface slope (Point Ib) based on the ATLAS/ICESat-2 ATL06 Land Ice Height data set acquired between March 2019 and September 2020. The grounding zone estimates were derived from automated techniques using ICESat-2 repeat tracks.
ICESat-2 L4 Along-Track Sea Ice Thickness V001
This data set reports daily, along-track winter sea ice thickness across the Arctic Ocean. Sea ice thickness is estimated using ATLAS/ICESat-2 L3A Sea Ice Freeboard (ATL10), Version 5 data and NASA Eulerian Snow On Sea Ice Model (NESOSIM) snow loading.
ICESat-2 Derived 30 m Along-Track Boreal Aboveground Biomass Density V001
This data set provides a quality-filtered set of ATLAS/ICESat-2 L3A Land and Vegetation Height, Version 5 (ATL08) observations of relative canopy heights and aboveground biomass density model results for circumpolar boreal forests. The data were collected at 30 m along-track segment lengths for strong beams only during the 2019–2021 high northern latitude growing seasons. The ATL08 point observations were clipped to the extent of the boreal forest spatial domain.
Water level change rate over 2003-2021 derived from ICESat and ICESat-2 data
<p>This dataset is the water level change rate information over 2003-2021 derived from ICESat and ICESat-2 data for 22008 lakes and reservoirs across the globe.</p>
Global Climatologies of Vegetation Aerodynamic Roughness for Momentum: a Fusion of MODIS and ICESat-2 Observations (d0s, DOY 185-361)
<p>This dataset includes the second half of the 8-day climatology fields (d0s, DOY 185-361) covering years 2003-2019 for the global land surface (90N - 60S) at 500-m spatial resolution as described in Borak et al. (2025). </p> <p>The d0s fields are formatted as 36000 lines by 86400 pixels of 32-bit floating-point binary data, with the first observation corresponding to the upper-left corner of the field. Projection is sinusoidal, and conforms to the same parameters as Collection 6+ 500-m MODIS products (radius of sphere = 6371007.181 m). Units of z0s are meters, with 255.0 referring to no-data.</p>
Global Climatologies of Vegetation Aerodynamic Roughness for Momentum: a Fusion of MODIS and ICESat-2 Observations (d0s, DOY 001-177)
<p>This dataset includes the first half of the 8-day climatology fields (d0s, DOY 001-177) covering years 2003-2019 for the global land surface (90N - 60S) at 500-m spatial resolution as described in Borak et al. (2025). </p> <p>The d0s fields are formatted as 36000 lines by 86400 pixels of 32-bit floating-point binary data, with the first observation corresponding to the upper-left corner of the field. Projection is sinusoidal, and conforms to the same parameters as Collection 6+ 500-m MODIS products (radius of sphere = 6371007.181 m). Units of d0s are meters, with 255.0 referring to no-data.</p>
Global Climatologies of Vegetation Aerodynamic Roughness for Momentum: a Fusion of MODIS and ICESat-2 Observations (z0s, DOY 185-361)
<p>This dataset includes the second half of the 8-day climatology fields (z0s, DOY 185-361) covering years 2003-2019 for the global land surface (90N - 60S) at 500-m spatial resolution as described in Borak et al. (2025). </p> <p>The z0s fields are formatted as 36000 lines by 86400 pixels of 32-bit floating-point binary data, with the first observation corresponding to the upper-left corner of the field. Projection is sinusoidal, and conforms to the same parameters as Collection 6+ 500-m MODIS products (radius of sphere = 6371007.181 m). Units of z0s are meters, with 255.0 referring to no-data.</p>
Global Climatologies of Vegetation Aerodynamic Roughness for Momentum: a Fusion of MODIS and ICESat-2 Observations (z0s, DOY 001-177)
<p>This dataset includes the first half of the 8-day climatology fields (z0s, DOY 001-177) covering years 2003-2019 for the global land surface (90N - 60S) at 500-m spatial resolution as described in Borak et al. (2025). </p> <p>The z0s fields are formatted as 36000 lines by 86400 pixels of 32-bit floating-point binary data, with the first observation corresponding to the upper-left corner of the field. Projection is sinusoidal, and conforms to the same parameters as Collection 6+ 500-m MODIS products (radius of sphere = 6371007.181 m). Units of z0s are meters, with 255.0 referring to no-data.</p>
Global Climatologies of Vegetation Aerodynamic Roughness for Momentum: a Fusion of MODIS and ICESat-2 Observations (long-term per-pixel averages)
<p>This dataset includes long-term per-pixel (z0t and d0t) climatology fields for 2003-2019 for the global land surface (90N - 60S) at 500-m spatial resolution as described in Borak et al. (2025) as well as the long-term land cover map used to derive per-class information. </p> <p>The z0 and d0 fields are formatted as 36000 lines by 86400 pixels of 32-bit floating-point binary data, with the first observation corresponding to the upper-left corner of the field. Projection is sinusoidal, and conforms to the same parameters as Collection 6+ 500-m MODIS products (radius of sphere = 6371007.181 m). Units of z0 and d0 are meters, with 255.0 referring to no-data.</p> <p>The land cover field has identical consists of the long-term MODIS land cover classification (IGBP legend). Its spatial characteristics are identical to the roughness fields, but data are formatted as unsigned characters (i.e., 8-bit unsigned integers) with no-data and water set to 255.</p> <p>All files are compressed with gzip and packaged with tar.</p>
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