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Geospatial data

NASA landsat Project

This data set contains shapefiles of Greenland’s glacial termini and basins for the years 1972 to 2019. These vector data were created from Landsat 1-8 satellite imagery using the Calving Front Machine (CALFIN) an automated processing workflow utilizing neural networks for extracting calving fronts from satellite images of marine-terminating glaciers. HMA2DCGSGL This data set identifies the extent of supraglacial lakes (SGLs) from 1988 to 2023 on 769 of the largest debris-covered glaciers in the High Mountain Asia region. SGLs were generated via automated processing of 30 m Landsat imagery and are provided at 1-year intervals...

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Data coverage

This data set contains shapefiles of Greenland’s glacial termini and basins for the years 1972 to 2019. These vector data were created from Landsat 1-8 satellite imagery using the Calving Front Machine (CALFIN) an automated processing workflow utilizing neural networks for extracting calving fronts from satellite images of marine-terminating glaciers. HMA2DCGSGL This data set identifies the extent of supraglacial lakes (SGLs) from 1988 to 2023 on 769 of the largest debris-covered glaciers in the High Mountain Asia region. SGLs were generated via automated processing of 30 m Landsat imagery and are provided at 1-year intervals from 2004-2023, at 2-year intervals from 1992-2003, and as a single 4-year interval from 1988-1991. Data Discovery Explore this data using NASA's Earthdata Search, a comprehensive tool for discovering and visualizing Earth science datasets. Data Access Access requires an Earthdata Login account. Read our guide on obtaining AWS credentials to retrieve this data from AWS.

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Creative Commons BY 4.0

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