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Glaciers Data Access and Tools
Data from NASA range from detailed, high-resolution instrument imagery to aerial photographs going back decades. Our datasets and tools help users find and integrate the data they need to measure the past and present state of glaciers around the world.
Glaciers Data Tools
| Tool Sort descending | Description | Services | |
|---|---|---|---|
| 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 | |
| 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 |
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Featured Glaciers Observation Method: ASTER
The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) is a high spatial resolution instrument aboard the Terra satellite. ASTER captures images of Earth in 14 different wavelengths from visible to thermal infrared light as well as provides a Global Digital Elevation Model (GDEM) of the planet's land surface with 30-meter resolution. ASTER data can be used to create detailed images and maps of land surface temperature, emissivity, reflectance, and elevation including images of glaciers.
The final processing of Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data will make its archive more accessible to users.
8 MIN READ
As of 1 April 2016, all Advanced Spaceborne Thermal Emission Reflection Radiometer (ASTER) data products are available at no charge from LP DAAC.
Learn about ASTER products, how they can be applied to variety of studies, and how to access the data.
Version 3 of the ASTER Global Digital Elevation Model (GDEM) provides new features and sharper imagery.
Glaciers Datasets
| Dataset | Platforms | Instruments | Temporal Extent | Location Keywords | Spatial Extent | Data Format |
|---|---|---|---|---|---|---|
| SENTINEL-1B_DUAL_POL_GRD_MEDIUM_RES | Sentinel-1B | C-SAR | 2016-04-25 to 2021-12-24 | N: 90 S: -90 E: 180 W: -180 | ||
| SENTINEL-1B_DUAL_POL_METADATA_GRD_HIGH_RES | Sentinel-1B | C-SAR | 2016-04-25 to 2021-12-24 | N: 90 S: -90 E: 180 W: -180 | ||
| SENTINEL-1B_DUAL_POL_METADATA_GRD_MEDIUM_RES | Sentinel-1B | C-SAR | 2016-04-25 to 2021-12-24 | N: 90 S: -90 E: 180 W: -180 | ||
| SENTINEL-1B_METADATA_RAW | Sentinel-1B | C-SAR | 2016-04-25 to 2021-12-24 | N: 90 S: -90 E: 180 W: -180 | ||
| SENTINEL-1B_METADATA_SLC | Sentinel-1B | C-SAR | 2016-04-25 to 2021-12-24 | N: 90 S: -90 E: 180 W: -180 | ||
| SENTINEL-1B_RAW | Sentinel-1B | C-SAR | 2016-04-25 to 2021-12-24 | N: 90 S: -90 E: 180 W: -180 | ||
| SENTINEL-1B_SINGLE_POL_GRD_HIGH_RES | Sentinel-1B | C-SAR | 2016-04-25 to 2021-12-24 | N: 90 S: -90 E: 180 W: -180 | ||
| SENTINEL-1B_SINGLE_POL_GRD_MEDIUM_RES | Sentinel-1B | C-SAR | 2016-04-25 to 2021-12-24 | N: 90 S: -90 E: 180 W: -180 | ||
| SENTINEL-1B_SINGLE_POL_METADATA_GRD_HIGH_RES | Sentinel-1B | C-SAR | 2016-04-25 to 2021-12-24 | N: 90 S: -90 E: 180 W: -180 | ||
| SENTINEL-1B_SINGLE_POL_METADATA_GRD_MEDIUM_RES | Sentinel-1B | C-SAR | 2016-04-25 to 2021-12-24 | N: 90 S: -90 E: 180 W: -180 |
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