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    NASA landsat Project

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    Sold by: NASA 
    Open data
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    Deployed on AWS
    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. <br> #### HMA2_DCG_SGL 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. <br> #### Data Discovery Explore this data using NASA's [Earthdata Search](https://search.earthdata.nasa.gov/), a comprehensive tool for discovering and visualizing Earth science datasets. <br> #### Data Access Access requires an [Earthdata Login[...]

    Overview

    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.

    HMA2_DCG_SGL

    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.

    Features and programs

    Open Data Sponsorship Program

    This dataset is part of the Open Data Sponsorship Program, an AWS program that covers the cost of storage for publicly available high-value cloud-optimized datasets.
    Learn more

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    This is a publicly available data set. No subscription is required.

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    Usage information

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    Delivery details

    AWS Data Exchange (ADX)

    AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.

    Open data resources

    Available with or without an AWS account.

    How to use
    To access these resources, reference the Amazon Resource Name (ARN) using the AWS Command Line Interface (CLI). Learn more 
    Description
    NSIDC-0764 v1 - 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.
    Resource type
    S3 bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/MEASURES/NSIDC-0764/1
    AWS region
    us-west-2
    AWS CLI access (No AWS account required)
    aws s3 ls --no-sign-request s3://nsidc-cumulus-prod-protected/MEASURES/NSIDC-0764/1/
    Description
    HMA2_DCG_SGL v1 - 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.
    Resource type
    S3 bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/HMA/HMA2_DCG_SGL/1
    AWS region
    us-west-2
    AWS CLI access (No AWS account required)
    aws s3 ls --no-sign-request s3://nsidc-cumulus-prod-protected/HMA/HMA2_DCG_SGL/1/

    Resources

    Vendor resources

    View this dataset on Github 

    Support

    Contact

    https://earthdata.nasa.gov/contact 

    Managed By

    NASA

    How to cite

    NASA landsat Project was accessed on DATE from https://registry.opendata.aws/nasa-landsat .

    License

    Creative Commons BY 4.0 

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