USAP-DC

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{"@context": "https://schema.org/", "@type": "Dataset", "@id": "doi:10.15784/601841", "additionalType": ["geolink:Dataset", "vivo:Dataset"], "name": "Surface melt-related multi-source remote-sensing and climate model data over Helheim Glacier, Greenland for segmentation and machine learning applications", "description": "This dataset contains high-resolution satellite-derived snow/ice surface melt-related data on a common 100 m equal area grid (Albers equal area projection; EPSG 9822) over Helheim Glacier and surrounding areas in Greenland. The data is used as part of a machine learning framework that aims to fill data gaps in computed meltwater fraction on the 100 m grid using a range of methods, results of which will be published separately.\r\n

\r\n

The data include fraction of a grid cell covered by meltwater derived from Sentinel-1 synthetic aperture radar (SAR) backscatter, satellite-derived passive microwave (PMW) brightness temperatures, snowpack liquid water content within the first meter of snow and atmospheric and radiative variables from the Mod\u00e9le Atmosph\u00e9rique R\u00e8gional (MAR) regional climate model, spectral reflectance in four wavelength bands from the Moderate Resolution Imaging Spectroradiometer (MODIS), a static digital elevation model (DEM), and an ice sheet mask. \r\n

A similar dataset has also been produced for Larsen C ice shelf and is also available through the US Antarctic Program Data Center. \r\n

\r\n

\r\n

", "citation": "Alexander, P., Antwerpen, R., Cervone, G., Fettweis, X., L\u00fctjens, B., & Tedesco, M. (2024) \"Surface melt-related multi-source remote-sensing and climate model data over Helheim Glacier, Greenland for segmentation and machine learning applications\" U.S. Antarctic Program (USAP) Data Center. doi: https://doi.org/10.15784/601841.", "datePublished": "2024-10-04", "keywords": ["Antarctica", "Climate Modeling", "Cryosphere", "Downscaling", "Glaciers/ice Sheet", "Greenland", "Greenland", "Ice Sheet", "Machine Learning", "MAR", "Remote Sensing", "Sea Level Rise", "Snow/ice", "Surface Melt"], "creator": [{"@type": "Person", "additionalType": "geolink:Person", "name": "Alexander, Patrick", "email": "pma2107@ldeo.columbia.edu", "affiliation": {"@type": "Organization", "name": null}}, {"@type": "Person", "additionalType": "geolink:Person", "name": "Antwerpen, Raphael", "email": null, "affiliation": {"@type": "Organization", "name": null}}, {"@type": "Person", "additionalType": "geolink:Person", "name": "Cervone, Guido", "email": null, "affiliation": {"@type": "Organization", "name": null}}, {"@type": "Person", "additionalType": "geolink:Person", "name": "Fettweis, Xavier", "email": null, "affiliation": {"@type": "Organization", "name": null}}, {"@type": "Person", "additionalType": "geolink:Person", "name": "L\u00fctjens, Bj\u00f6rn", "email": null, "affiliation": {"@type": "Organization", "name": null}}, {"@type": "Person", "additionalType": "geolink:Person", "name": "Tedesco, Marco", "email": "cryocity@gmail.com", "affiliation": {"@type": "Organization", "name": null}}], "distribution": [{"@type": "DataDownload", "additionalType": "http://www.w3.org/ns/dcat#DataCatalog", "encodingFormat": "text/xml", "name": "ISO Metadata Document", "url": "https://www.usap-dc.org/metadata/isoxml/601841iso.xml", "contentUrl": "/dataset/filename"}, {"@type": "DataDownload", "@id": "http://dx.doi.org/10.15784/601841", "additionalType": "dcat:distribution", "url": "http://dx.doi.org/10.15784/601841", "contentUrl": "/dataset/filename", "encodingFormat": "text/html"}, {"@type": "DataDownload", "@id": "https://www.usap-dc.org/view/dataset/601841", "additionalType": "dcat:distribution", "url": "https://www.usap-dc.org/view/dataset/601841", "contentUrl": "/dataset/filename", "encodingFormat": "text/html"}], "identifier": {"@type": "PropertyValue", "propertyID": "https://registry.identifiers.org/registry/doi", "value": "doi:10.15784/601841", "url": "https://doi.org/10.15784/601841"}, "contributor": [{"@type": "Role", "roleName": "credit", "description": "funderName:NSF:GEO:OPP:Polar Cyberinfrastructure awardNumber:2136938 awardTitle:Collaborative Research: EAGER: Generation of High Resolution Surface Melting Maps over Antarctica Using Regional Climate Models, Remote Sensing and Machine Learning"}], "license": [{"@type": "CreativeWork", "URL": "https://creativecommons.org/licenses/by/4.0/", "name": "MD_Constraints", "description": "useLimitation: Creative Commons Attribution Only v4.0 Generic [CC BY 4.0]."}, {"@type": "CreativeWork", "name": "MD_LegalConstraints", "description": "accessConstraints: license. otherConstraints: Creative Commons Attribution Only v4.0 Generic [CC BY 4.0]."}, {"@type": "CreativeWork", "name": "MD_SecurityConstraints", "description": "classification: "}], "publisher": {"@type": "Organization", "name": "U.S. Antarctic Program (USAP) Data Center"}, "spatialCoverage": [{"@type": "Place", "geo": {"@type": "GeoShape", "box": "64.95, -40, 67.55, -36.11"}}]}

Surface melt-related multi-source remote-sensing and climate model data over Helheim Glacier, Greenland for segmentation and machine learning applications Data DOI: https://doi.org/10.15784/601841 Cite as Alexander, P., Antwerpen, R., Cervone, G., Fettweis, X., Lütjens, B., & Tedesco, M. (2024) "Surface melt-related multi-source remote-sensing and climate model data over Helheim Glacier, Greenland for segmentation and machine learning applications" U.S. Antarctic Program (USAP) Data Center. doi: https://doi.org/10.15784/601841. Abstract This dataset contains high-resolution satellite-derived snow/ice surface melt-related data on a common 100 m equal area grid (Albers equal area projection; EPSG 9822) over Helheim Glacier and surrounding areas in Greenland. The data is used as part of a machine learning framework that aims to fill data gaps in computed meltwater fraction on the 100 m grid using a range of methods, results of which will be published separately. The data include fraction of a grid cell covered by meltwater derived from Sentinel-1 synthetic aperture radar (SAR) backscatter, satellite-derived passive microwave (PMW) brightness temperatures, snowpack liquid water content within the first meter of snow and atmospheric and radiative variables from the Modéle Atmosphérique Règional (MAR) regional climate model, spectral reflectance in four wavelength bands from the Moderate Resolution Imaging Spectroradiometer (MODIS), a static digital elevation model (DEM), and an ice sheet mask. A similar dataset has also been produced for Larsen C ice shelf and is also available through the US Antarctic Program Data Center. Creator(s): Alexander, Patrick; Antwerpen, Raphael; Cervone, Guido; Fettweis, Xavier; Lütjens, Björn; Tedesco, Marco Date Created: 2024-10-07 Repository: USAP-DC (current) License: Creative Commons Attribution Only v4.0 Generic [CC BY 4.0] Spatial Extent(s) West: -40, East: -36.11, South: 64.95, North: 67.55 Temporal Extent(s) Start: 2016-01-01 - End: 2023-12-31 Award(s) NSF 2136938 Version: 1 Related Project(s) Collaborative Research: EAGER: Generation of high resolution surface melting maps over Antarctica using regional climate models, remote sensing and machine learning Keywords Antarctica Climate Modeling Cryosphere Downscaling Glaciers/ice Sheet Greenland Greenland Ice Sheet Machine Learning MAR Remote Sensing Sea Level Rise Snow/ice Surface Melt