| Dataset | Geographic Region | Temporal Extent | Data Format | Potential Application Areas | Related Subtopics |
|---|---|---|---|---|---|
| ALOS-2 PALSAR-2 Level 1 ScanSAR Product | Global | 2014-08-01 to Present |
| sea ice | |
| ARIA Sentinel-1 Geocoded Unwrapped Interferograms | Global | 2014-06-15 to Present |
| glaciers, ice sheets | |
| ATLAS/ICESat-2 L2A Global Geolocated Photon Data V006 | Global | 2018-10-13 to Present | HDF5 |
| glaciers, ice sheets, sea ice |
| ATLAS/ICESat-2 L3A Land Ice Height V006 | Global | 2018-10-14 to Present | HDF5 |
| glaciers, ice sheets |
| ATLAS/ICESat-2 L3A Sea Ice Height V006 | Global | 2018-10-14 to Present | HDF5 |
| sea ice |
| GLIMS Glacier Database, Version 1 | Global | 1850-01-01 to Present |
|
| glaciers, ice sheets |
| MODIS/Terra Snow Cover Daily L3 Global 500m SIN Grid V061 | Global | 2000-02-24 to Present | HDF-EOS2 |
| snow ice |
| MODIS/Terra Surface Reflectance Daily L2G Global 250m SIN Grid V061 | Global | 2000-02-24 to Present | HDF-EOS2 |
| snow ice |
| Near-Real-Time DMSP SSMIS Daily Polar Gridded Sea Ice Concentrations, Version 2 | Arctic, Antarctica, Polar, Northern Hemisphere, Southern Hemisphere | 2021-11-01 to Present |
|
| sea ice |
| OPERA Surface Displacement from Sentinel-1 validated product (Version 1) | Global | 2016-07-01 to Present |
|
| glaciers, ice sheets |
| RSS SSMIS OCEAN PRODUCT GRIDS 3-DAY AVERAGE FROM DMSP F17 NETCDF V7 | Global | 2006-12-12 to Present | NetCDF-4 |
| sea ice |
| Sea Ice Concentrations from Nimbus-7 SMMR and DMSP SSM/I-SSMIS Passive Microwave Data, Version 2 | Polar | 1978-10-26 to Present |
|
| sea ice |
| SENTINEL-1B_DUAL_POL_GRD_HIGH_RES | Global | 2016-04-25 to 2021-12-24 |
| frozen ground, glaciers, ice sheets, sea ice, snow ice | |
| SENTINEL-1B_SLC | Global | 2016-04-25 to 2021-12-24 |
| frozen ground, glaciers, ice sheets, sea ice, snow ice | |
| VIIRS/JPSS1 Snow Cover Daily L3 Global 375m SIN Grid, Version 2 | Global | 2018-01-05 to Present | HDF-EOS5 |
| snow ice |
| VIIRS/NPP Snow Cover Daily L3 Global 375m SIN Grid, Version 2 | Global | 2012-01-19 to Present | HDF-EOS5 |
| snow ice |
| VIIRS/NPP Imagery Resolution 6-Min L1B Swath 375 m | Global | 2012-01-19 to Present | NetCDF |
| sea ice |
Cryosphere Data Access and Tools
NASA data range from measuring the current and historical extent of snow and ice to tracking its formation and melting. Our datasets and tools help researchers translate these interconnected data points into actionable knowledge.
Cryosphere Datasets
| Dataset Sort descending | Version | Platforms | Instruments | Temporal Extent | Spatial Extent | Spatial Resolution | Data Format |
|---|---|---|---|---|---|---|---|
| SnowEx20 Community Snow Depth Probe Measurements V001 | 1 | FIELD SURVEYS | PROBES | 2020-01-28 to 2020-02-12 |
N: 39.07 S: 39 E: -107.997 W: -108.228 |
CSV | |
| SnowEx20 Grand Mesa IOP Computed Tomography Snow Microstructure V001 | 1 | GROUND-BASED OBSERVATIONS | Microtomography | 2020-02-03 to 2020-02-08 |
N: 39.065321 S: 39.005111 E: -108.110485 W: -108.228389 |
Excel, Text File, BMP | |
| SnowEx20 Grand Mesa IOP CSU 1GHz GPR V001 | 1 | GROUND-BASED OBSERVATIONS | GPR | 2020-02-06 to 2020-02-09 |
N: 39.04 S: 39.015 E: -108 W: -108.25 |
CSV | |
| SnowEx20 Grand Mesa IOP Lidar and GPR-Derived Snow Water Equivalent and Snow Density V001 | 1 | GROUND-BASED OBSERVATIONS | GPR | 2020-02-01 to 2020-02-02 |
N: 39.039456 S: 39.009209 E: -108.157747 W: -108.21092 |
CSV, GeoTIFF | |
| SnowEx20 Grand Mesa IOP UNM 800 and 1600 MHz MALA GPR V001 | 1 | GROUND-BASED OBSERVATIONS | GPR | 2020-01-28 to 2020-02-06 |
N: 39.05 S: 39.005 E: -108.12 W: -108.21 |
CSV | |
| SnowEx20 Grand Mesa Snow Depth from Snow Pole Time-Lapse Imagery V001 | 1 | GROUND-BASED OBSERVATIONS | CAMERAS | 2019-09-29 to 2020-06-10 |
N: 39.067 S: 39 E: -107.997 W: -108.228 |
CSV | |
| SnowEx20 Jemez UNM 800 MHz MALA GPR V001 | 1 | GROUND-BASED OBSERVATIONS | GPR | 2020-01-22 to 2020-03-04 |
N: 35.889 S: 35.85 E: -106.505 W: -106.537 |
CSV | |
| SnowEx20 Laser Snow Microstructure Specific Surface Area Data V001 | 1 | GROUND-BASED OBSERVATIONS | IRIS, IceCube | 2020-01-27 to 2020-02-12 |
N: 39.06417 S: 39.0087 E: -108.00312 W: -108.22143 |
PNG, CSV | |
| SnowEx20 Time Series Snow Change Measurements from Interval Boards V001 | 1 | GROUND-BASED OBSERVATIONS | SWE Sampler | 2019-12-08 to 2020-04-22 |
N: 44.30463 S: 35.85789 E: -105.54613 W: -120.29898 |
CSV | |
| SnowEx20-21 Cameron Pass Derived Snowpack Relative Permittivities and Densities from Ground Penetrating Radar V001 | 1 | GROUND-BASED OBSERVATIONS | GPR, LIDAR | 2019-12-18 to 2021-05-27 |
N: 40.5202 S: 40.5154 E: -105.8889 W: -105.8931 |
CSV |
Pagination
Cryosphere Data Tools
| Tool Sort descending | Description | Services | |
|---|---|---|---|
| AppEEARS | The The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers users a simple and efficient way to perform data access and transformation processes. | Search and Discovery, Subsetting, Customization, Downloading, Visualization | |
| GLIMS Glacier Database | Visualize and download data from the GLIMS Glacier Database using the map-based GLIMS Glacier Viewer or search and download data using custom parameters in the GLIMS Text Search Interface. | Downloading, Search and Discovery, Visualization | |
| OpenAltimetry | OpenAltimetry is a map-based visualization tool for exploring surface elevation data across Earth over time. | Analysis, Search and Discovery, Visualization | |
| RTC Stack Processor | The radiometric terrain correction (RTC) stack processor tool facilitates time-series analysis of such phenomena as flooding events, deforestation, or glacier retreat. | Analysis, Processing, Search and Discovery, Visualization | |
| Vertex | Vertex is a graphical search interface for finding synthetic aperture radar (SAR) data. | Search and Discovery, Access, Downloading, Processing, Subsetting | |
| Worldview | Worldview offers the capability to interactively browse over 1,200 global, full-resolution satellite imagery layers and download the underlying data. | Analysis, Search and Discovery, Visualization, Access, Comparison, Monitoring Natural Events |
Frequently Asked Questions
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