September 10, 2025 Dataset Open Access

Kern, Stefan

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{"@context":"https://schema.org/","@id":"http://doi.org/10.25592/uhhfdm.17916","@type":"Dataset","citation":[{"@id":"https://earthexplorer.usgs.gov/","@type":"CreativeWork"}],"contributor":[{"@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 (CCI+) sea ice essential climate variable (ECV) project phase 2,&nbsp;Landsat-1 Multispectral Scanner (MSS) images were obtained from&nbsp;<a href=\"https://earthexplorer.usgs.gov/\">https://earthexplorer.usgs.gov/</a> for both hemispheres with the purpose to evaluate the ESA CCI+ Nimbus-5 Electrically Scanning Microwave Radiometer (ESMR) sea-ice concentration data product v1.1. From these Landsat-1 MSS images surface broadband albedo values were estimated based on channels 4 to 7 (mostly 4, 5, and 7). Secondly, a supervised classification was employed, classifying the broadband albedo maps into open water, thin/bare ice, and thick/snow-covered ice using simple threshold values selected based on visual manual interpretation of the images. Thresholds used for this classification are provided in the metadata txt-file along with the data. MSS images have been pre-processed and quality assessed as much as possible to avoid artefacts from missing and/or corrupt scanlines and clouds or cloud shadows.</p>\n\n<p><strong>TableOfContents: </strong>surface type flag (100: open water, 150: thin or bare sea ice, 200: thick or snow-covered ice, 255: land, missing data, or clouds)</p>\n\n<p><strong>Technical Info:</strong> 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, something around 4000 columns x 4000 rows; temporalExtent_startDate: 1974-03-11; temporalExtent_endDate: 1974-09-08; temporalResolution: ~28 s / image; spatialResolution: 60; spatialResolutionUnit: meters; horizontalResolutionXdirection: 60; horizontalResolutionXdirectionUnit: meters; horizontalResolutionYdirection: 60; horizontalResolutionYdirectionUnit: meters; verticalResolution: none; verticalResolutionUnit: none; verticalStart: none; verticalEnd: none; instrumentName: Landsat-1: Multispectral Scanner (MSS); instrumentType: optical sensor; instrumentLocation: Landsat-1; instrumentProvider: NASA</p>\n\n<p><strong>Methods:</strong> [1] ESA CCI sea ice ecv project phase 2 product validation and intercomparison report for sea-ice concentration: D4.1_SICCI_P2_PVIR-SIC_Issue_1.1.pdf (chapter 3.3); [2] Koepke, P., Removal of Atmospheric Effects from AVHRR albedos, J. Appl. Meteorol., 28, 1341-1348, 1989; [3] Chander, G., Markham, B. L., and Helder, D. L.: Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors. Rem. Sens. Environ. 113, 893-903, <a href=\"https://doi.10.1016/j.rse.2009.01.007\">https://doi.10.1016/j.rse.2009.01.007</a>, 2009; [4] Metadata file containing thresholds for open water - thin/bare ice and thin/bare ice - thick/snow covered ice discrimination, the sun elevation angle and the used channels for 1974: 1974_NH_settings.txt</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</ul>\n\n<p><strong>Size: </strong>(files are packed into one zip-file per year)</p>\n\n<ul>\n\t<li>Northern Hemisphere: 50 files in total&nbsp; for 1974; 19.1 Gbyte (zipped: 12.0Gbyte)&nbsp;</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: 2025-09-01]</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/1937bd05-1b9f-4999-82c2-3983e09f8ec7/1974_NH_settings.txt","encodingFormat":"txt"},{"@type":"DataDownload","contentUrl":"https://www.fdr.uni-hamburg.de/api/files/1937bd05-1b9f-4999-82c2-3983e09f8ec7/Landsat-1__SurfaceType_from_BroadBandAlbedo__NH__1974__UHAM-ICDC__fv0.01.nc.zip","encodingFormat":"zip"},{"@type":"DataDownload","contentUrl":"https://www.fdr.uni-hamburg.de/api/files/1937bd05-1b9f-4999-82c2-3983e09f8ec7/SICCI_P2_PVIR-SIC_D4.1_Issue_1.1.pdf","encodingFormat":"pdf"}],"identifier":"http://doi.org/10.25592/uhhfdm.17916","inLanguage":{"@type":"Language","alternateName":"eng","name":"English"},"keywords":["Climate Research","Polar Oceans","Sea Ice","Supervised Classification","Satellite Remote Sensing","Landsat-1 MSS","USGS","ICDC"],"license":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Landsat-1 Multispectral Scanner surface type over water from supervised classification of surface broadband albedo estimates","url":"https://www.fdr.uni-hamburg.de/record/17916","version":"2025_fv0.01"}