September 10, 2025 Dataset Open Access

Kern, Stefan

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{"@context":"https://schema.org/","@id":"http://doi.org/10.25592/uhhfdm.17942","@type":"Dataset","citation":[{"@id":"https://earthexplorer.usgs.gov/","@type":"CreativeWork"}],"contributor":[{"@type":"Person","affiliation":"Institute of Coastal Systems, Helmholtz-Zentrum Hereon, Geesthacht, Germany","name":"Aziz, Proshonni"},{"@type":"Person","affiliation":"Integrated Climate Data Center (ICDC), Center for Earth System Research and Sustainability (CEN), University of Hamburg, Hamburg, Germany","name":"Sadikni, Remon"}],"creator":[{"@id":"https://orcid.org/0000-0001-7281-3746","@type":"Person","affiliation":"Integrated Climate Data Center (ICDC), Center for Earth System Research and Sustainability (CEN), University of Hamburg, Hamburg, Germany","name":"Kern, Stefan"}],"datePublished":"2025-09-10","description":"<p><strong>Abstract:</strong> In the framework of the European Space Agency (ESA) Climate Change Initiative Phase 2 (CCI+) sea ice essential climate variable (ECV) project (SICCI) [<a href=\"http://esa-cci.nersc.no\">Climate Change Initiative Sea_Ice_cci_Project</a>] a suite of Landsat images of both hemispheres were used to evaluate sea-ice concentration (SIC) products based on satellite microwave radiometry. First, surface broadband albedo values were estimated based on channels 3,4,5 of the Landsat-8 OLI sensor. Secondly, a supervised classification was employed, classifying the broadband albedo maps into open water, thin/bare ice and thick/snow-covered ice. Thresholds used for the classification are less or equal than 0.07 and greater or than 0.4 for the open water / thin ice and thin ice / thick ice transition, respectively. Metadata files are given for&nbsp; both hemispheres including the sun zenith angle of the Landsat-8 OLI image and the two thresholds used. Resulting maps have been quality checked for artifacts due to cloudy pixels and double scenes. Note that there might a few maps with a slight overlap from two adjacent Landsat images.</p>\n\n<p><strong>TableOfContents: </strong>surface type flag (0: open water, 1: thin or bare sea ice, 2: thick or snow-covered ice, 127: missing data or clouds)</p>\n\n<p><strong>Technical Info:</strong> dimensions: nominal: 6166 columns x 6000 rows x unlimited; dimensions actual: variable, depends on how the Landsat scene fits into a rectangular bounding box determined by the minimum and maximum values of latitude and longitude of each scene; temporalExtent_startDate: 2019-01-01; temporalExtent_endDate: 2020-12-31; temporalResolution: ~28 s / image; spatialResolution: 30; spatialResolutionUnit: meters; horizontalResolutionXdirection: 30; horizontalResolutionXdirectionUnit: meters; horizontalResolutionYdirection: 30; horizontalResolutionYdirectionUnit: meters; verticalResolution: none; verticalResolutionUnit: none; verticalStart: none; verticalEnd: none; instrumentName: Landsat-8: Operational Land Imager (OLI); instrumentType: optical sensor; instrumentLocation: Landsat-8; instrumentProvider: NASA</p>\n\n<p><strong>Methods:</strong> [1] <a href=\"http://esa-cci.nersc.no/?q=documents#/Public/Documents from phase 2/D4.1_SICCI_P2_PVIR-SIC_Issue_1.1.pdf;\">http://esa-cci.nersc.no/?q=documents#/Public/Documents from phase 2/D4.1_SICCI_P2_PVIR-SIC_Issue_1.1.pdf;</a> [2] Knap, W. H., Brock, B. W., Oerlemans, J., and Willis, I. C.: Comparison of Landsat TM-derived and ground-based albedos of Haut Glacier d Arolla, Switzerland. Int. J. Rem. Sens., 20(17), 3293-3310, 1999; [3] Koepke, P., Removal of Atmospheric Effects from AVHRR albedos, J. Appl. Meteorol., 28, 1341-1348, 1989; [4] Barsi, J. A., Kenton, L., Kvaran, G., Markham, B. L., and Pedelty, J. A.: The spectral response of the Landsat-8 operational land imager. Rem. Sens., 6(10), 10232-10251, https://doi.org/10.3390/rs61010232, 2014; [5] Zatko, M. C., and Warren, S. G.: East Antarctic sea ice in spring: spectral albedo of snow, nilas, frost flowers and slush, and light-absorbing impurities in snow. Ann. Glaciol., 56(69), 53-64, https://doi.org/10.3189/2015AoG69A574, 2015.</p>\n\n<p><strong>Units: </strong>1</p>\n\n<p><strong>geoLocations:</strong></p>\n\n<ul>\n\t<li>Northern Hemisphere: westBoundLongitude: -180.0 degrees East; eastBoundLongitude: 180.0 degrees East; southBoundLatitude: 50.0 degrees North; northBoundLatitude: 90.0 degrees North; geoLocationPlace: Northern Hemisphere over water</li>\n\t<li>Southern Hemisphere: westBoundLongitude: -180.0 degrees East; eastBoundLongitude: 180.0 degrees East; southBoundLatitude: -80.0 degrees North; northBoundLatitude: -60.0 degrees North; geoLocationPlace: Southern Hemisphere over water</li>\n</ul>\n\n<p><strong>Size: </strong>(files are packed into one zip-file per year for the Northern Hemisphere and into one zip-file per month for the Southern Hemisphere)</p>\n\n<ul>\n\t<li>Northern Hemisphere: 80 files in total; about 67 Gbyte (zipped: 27.6 Gbyte) in total</li>\n\t<li>Southern Hemisphere: 209 files in total; about 167 Gbyte (zipped: 75.1 Gbyte) in total</li>\n</ul>\n\n<p><strong>Format:</strong> netCDF</p>\n\n<p><strong>DataSources:</strong> <a href=\"https://earthexplorer.usgs.gov/\">https://earthexplorer.usgs.gov/</a> [last access: 2025-09-09]</p>\n\n<p><strong>Contact:</strong> <a href=\"mailto:stefan.kern@uni-hamburg.de\">stefan.kern (at) uni-hamburg.de</a></p>","distribution":[{"@type":"DataDownload","contentUrl":"https://www.fdr.uni-hamburg.de/api/files/f545d29f-a43f-4a43-859d-72f21acbf66e/Landsat-8__SurfaceType_from_BroadbandAlbedo__NH__UHAM-ICDC__2019_fv0.01.nc.zip","encodingFormat":"zip"},{"@type":"DataDownload","contentUrl":"https://www.fdr.uni-hamburg.de/api/files/f545d29f-a43f-4a43-859d-72f21acbf66e/Landsat-8__SurfaceType_from_BroadbandAlbedo__NH__UHAM-ICDC__2020_fv0.01.nc.zip","encodingFormat":"zip"},{"@type":"DataDownload","contentUrl":"https://www.fdr.uni-hamburg.de/api/files/f545d29f-a43f-4a43-859d-72f21acbf66e/Landsat-8__SurfaceType_from_BroadbandAlbedo__SH__UHAM-ICDC__201901__fv0.01.nc.zip","encodingFormat":"zip"},{"@type":"DataDownload","contentUrl":"https://www.fdr.uni-hamburg.de/api/files/f545d29f-a43f-4a43-859d-72f21acbf66e/Landsat-8__SurfaceType_from_BroadbandAlbedo__SH__UHAM-ICDC__201902__fv0.01.nc.zip","encodingFormat":"zip"},{"@type":"DataDownload","contentUrl":"https://www.fdr.uni-hamburg.de/api/files/f545d29f-a43f-4a43-859d-72f21acbf66e/Landsat-8__SurfaceType_from_BroadbandAlbedo__SH__UHAM-ICDC__201903__fv0.01.nc.zip","encodingFormat":"zip"},{"@type":"DataDownload","contentUrl":"https://www.fdr.uni-hamburg.de/api/files/f545d29f-a43f-4a43-859d-72f21acbf66e/Landsat-8__SurfaceType_from_BroadbandAlbedo__SH__UHAM-ICDC__201910__fv0.01.nc.zip","encodingFormat":"zip"},{"@type":"DataDownload","contentUrl":"https://www.fdr.uni-hamburg.de/api/files/f545d29f-a43f-4a43-859d-72f21acbf66e/Landsat-8__SurfaceType_from_BroadbandAlbedo__SH__UHAM-ICDC__201911__fv0.01.nc.zip","encodingFormat":"zip"},{"@type":"DataDownload","contentUrl":"https://www.fdr.uni-hamburg.de/api/files/f545d29f-a43f-4a43-859d-72f21acbf66e/Landsat-8__SurfaceType_from_BroadbandAlbedo__SH__UHAM-ICDC__201912__fv0.01.nc.zip","encodingFormat":"zip"},{"@type":"DataDownload","contentUrl":"https://www.fdr.uni-hamburg.de/api/files/f545d29f-a43f-4a43-859d-72f21acbf66e/Landsat-8__SurfaceType_from_BroadbandAlbedo__SH__UHAM-ICDC__202001__fv0.01.nc.zip","encodingFormat":"zip"},{"@type":"DataDownload","contentUrl":"https://www.fdr.uni-hamburg.de/api/files/f545d29f-a43f-4a43-859d-72f21acbf66e/Landsat-8__SurfaceType_from_BroadbandAlbedo__SH__UHAM-ICDC__202002__fv0.01.nc.zip","encodingFormat":"zip"},{"@type":"DataDownload","contentUrl":"https://www.fdr.uni-hamburg.de/api/files/f545d29f-a43f-4a43-859d-72f21acbf66e/Landsat-8__SurfaceType_from_BroadbandAlbedo__SH__UHAM-ICDC__202010__fv0.01.nc.zip","encodingFormat":"zip"},{"@type":"DataDownload","contentUrl":"https://www.fdr.uni-hamburg.de/api/files/f545d29f-a43f-4a43-859d-72f21acbf66e/Landsat-8__SurfaceType_from_BroadbandAlbedo__SH__UHAM-ICDC__202011__fv0.01.nc.zip","encodingFormat":"zip"},{"@type":"DataDownload","contentUrl":"https://www.fdr.uni-hamburg.de/api/files/f545d29f-a43f-4a43-859d-72f21acbf66e/Landsat-8__SurfaceType_from_BroadbandAlbedo__SH__UHAM-ICDC__202012__fv0.01.nc.zip","encodingFormat":"zip"},{"@type":"DataDownload","contentUrl":"https://www.fdr.uni-hamburg.de/api/files/f545d29f-a43f-4a43-859d-72f21acbf66e/metadata_classification_NH_2019.txt","encodingFormat":"txt"},{"@type":"DataDownload","contentUrl":"https://www.fdr.uni-hamburg.de/api/files/f545d29f-a43f-4a43-859d-72f21acbf66e/metadata_classification_NH_2020.txt","encodingFormat":"txt"},{"@type":"DataDownload","contentUrl":"https://www.fdr.uni-hamburg.de/api/files/f545d29f-a43f-4a43-859d-72f21acbf66e/metadata_classification_SH_2019.txt","encodingFormat":"txt"},{"@type":"DataDownload","contentUrl":"https://www.fdr.uni-hamburg.de/api/files/f545d29f-a43f-4a43-859d-72f21acbf66e/metadata_classification_SH_2020.txt","encodingFormat":"txt"}],"identifier":"http://doi.org/10.25592/uhhfdm.17942","inLanguage":{"@type":"Language","alternateName":"eng","name":"English"},"keywords":["Climate Research","Polar Oceans","Sea Ice","Supervised Classification","Satellite Remote Sensing","Landsat-8 OLI","USGS","ICDC"],"license":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Landsat surface type over water from supervised classification of surface broadband albedo estimates - Part II","url":"https://www.fdr.uni-hamburg.de/record/17942","version":"2025_fv0.01"}