September 10, 2025 Dataset Open Access

Kern, Stefan

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  <identifier identifierType="DOI">10.25592/uhhfdm.17942</identifier>
  <creators>
    <creator>
      <creatorName>Kern, Stefan</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-7281-3746</nameIdentifier>
      <affiliation>Integrated Climate Data Center (ICDC), Center for Earth System Research and Sustainability (CEN), University of Hamburg, Hamburg, Germany</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Landsat surface type over water from supervised classification of surface broadband albedo estimates - Part II</title>
  </titles>
  <publisher>Universität Hamburg</publisher>
  <publicationYear>2025</publicationYear>
  <subjects>
    <subject>Climate Research</subject>
    <subject>Polar Oceans</subject>
    <subject>Sea Ice</subject>
    <subject>Supervised Classification</subject>
    <subject>Satellite Remote Sensing</subject>
    <subject>Landsat-8 OLI</subject>
    <subject>USGS</subject>
    <subject>ICDC</subject>
  </subjects>
  <contributors>
    <contributor contributorType="DataCollector">
      <contributorName>Aziz, Proshonni</contributorName>
      <affiliation>Institute of Coastal Systems, Helmholtz-Zentrum Hereon, Geesthacht, Germany</affiliation>
    </contributor>
    <contributor contributorType="DataCurator">
      <contributorName>Sadikni, Remon</contributorName>
      <affiliation>Integrated Climate Data Center (ICDC), Center for Earth System Research and Sustainability (CEN), University of Hamburg, Hamburg, Germany</affiliation>
    </contributor>
  </contributors>
  <dates>
    <date dateType="Issued">2025-09-10</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://www.fdr.uni-hamburg.de/record/17942</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="URL" relationType="References">https://earthexplorer.usgs.gov/</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="Continues">10.25592/uhhfdm.9181</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsPartOf">10.25592/uhhfdm.17941</relatedIdentifier>
  </relatedIdentifiers>
  <version>2025_fv0.01</version>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;&lt;strong&gt;Abstract:&lt;/strong&gt; In the framework of the European Space Agency (ESA) Climate Change Initiative Phase 2 (CCI+) sea ice essential climate variable (ECV) project (SICCI) [&lt;a href="http://esa-cci.nersc.no"&gt;Climate Change Initiative Sea_Ice_cci_Project&lt;/a&gt;] 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&amp;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.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;TableOfContents: &lt;/strong&gt;surface type flag (0: open water, 1: thin or bare sea ice, 2: thick or snow-covered ice, 127: missing data or clouds)&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Technical Info:&lt;/strong&gt; 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&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Methods:&lt;/strong&gt; [1] &lt;a href="http://esa-cci.nersc.no/?q=documents#/Public/Documents from phase 2/D4.1_SICCI_P2_PVIR-SIC_Issue_1.1.pdf;"&gt;http://esa-cci.nersc.no/?q=documents#/Public/Documents from phase 2/D4.1_SICCI_P2_PVIR-SIC_Issue_1.1.pdf;&lt;/a&gt; [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.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Units: &lt;/strong&gt;1&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;geoLocations:&lt;/strong&gt;&lt;/p&gt;

&lt;ul&gt;
	&lt;li&gt;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&lt;/li&gt;
	&lt;li&gt;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&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;&lt;strong&gt;Size: &lt;/strong&gt;(files are packed into one zip-file per year for the Northern Hemisphere and into one zip-file per month for the Southern Hemisphere)&lt;/p&gt;

&lt;ul&gt;
	&lt;li&gt;Northern Hemisphere: 80 files in total; about 67 Gbyte (zipped: 27.6 Gbyte) in total&lt;/li&gt;
	&lt;li&gt;Southern Hemisphere: 209 files in total; about 167 Gbyte (zipped: 75.1 Gbyte) in total&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;&lt;strong&gt;Format:&lt;/strong&gt; netCDF&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;DataSources:&lt;/strong&gt; &lt;a href="https://earthexplorer.usgs.gov/"&gt;https://earthexplorer.usgs.gov/&lt;/a&gt; [last access: 2025-09-09]&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Contact:&lt;/strong&gt; &lt;a href="mailto:stefan.kern@uni-hamburg.de"&gt;stefan.kern (at) uni-hamburg.de&lt;/a&gt;&lt;/p&gt;</description>
    <description descriptionType="Other">This is a data set created for the evaluation of sea-ice concentration products derived from satellite passive microwave observations.</description>
  </descriptions>
</resource>