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  <dataset>
    <alternateIdentifier>90161146-097c-4293-ae74-ae244c46ba1d</alternateIdentifier>
    <title>Global surface water 1984 - 2021</title>
    <shortname>Global surface water</shortname>
    <creator>
      <organizationName>Joint Research Centre</organizationName>
      <individualName>
        <givenName>Jean-François</givenName>
        <surName>Pekel</surName>
      </individualName>
      <positionName>Research Scientist</positionName>
      <electronicMailAddress>jean-francois.pekel@jrc.ec.europa.eu</electronicMailAddress>
      <userId>http://orcid.org/0000-0002-9992-6385</userId>
    </creator>
    <creator>
      <organizationName>Joint Research Centre</organizationName>
      <individualName>
        <givenName>Andrew</givenName>
        <surName>Cottam</surName>
      </individualName>
      <positionName />
      <electronicMailAddress />
      <userId />
    </creator>
    <creator>
      <organizationName>Google Switzerland GmbH</organizationName>
      <individualName>
        <givenName>Noel</givenName>
        <surName>Gorelick</surName>
      </individualName>
      <positionName>Scientist and Softwarre Engineer</positionName>
      <electronicMailAddress>gorelick@gmail.com</electronicMailAddress>
      <userId>http://orcid.org/0000-0002-5548-2436</userId>
    </creator>
    <creator>
      <organizationName>Joint Research Centre</organizationName>
      <individualName>
        <givenName>Alan</givenName>
        <surName>Belward</surName>
      </individualName>
      <positionName>Lead Resource Management Lead</positionName>
      <electronicMailAddress>alan.belward@jrc.it</electronicMailAddress>
      <userId />
    </creator>
    <metadataProvider>
      <organizationName>SIB Swiss Institute of Bioinformatics</organizationName>
      <individualName>
        <givenName>Chiara</givenName>
        <surName>Bortoluzzi</surName>
      </individualName>
      <positionName>Data Manager</positionName>
      <electronicMailAddress>chiara.bortoluzzi@sib.swiss</electronicMailAddress>
      <userId>https://orcid.org/0000-0001-6589-6635</userId>
    </metadataProvider>
    <pubDate>2016-12-15</pubDate>
    <language>English</language>
    <abstract>
      <para>This dataset is intended to show different facets of the spatial and temporal distribution of surface water over the last 38 years. The European Commission's Joint Research Centre developed this new water dataset in the framework of the Copernicus Programme. This maps the location and temporal distribution of water surfaces at the global scale over the past 32 years and provides statistics on the extent and change of those water surfaces. The dataset, produced from Landsat imagery (courtesy USGS and NASA), will support applications including water resource management, climate modelling, biodiversity conservation and food security.</para>
    </abstract>
    <keywordSet>
      <keyword>Global</keyword>
      <keywordThesaurus />
    </keywordSet>
    <keywordSet>
      <keyword>Surface</keyword>
      <keywordThesaurus />
    </keywordSet>
    <keywordSet>
      <keyword>Water</keyword>
      <keywordThesaurus />
    </keywordSet>
    <intellectualRights>
      <para>All data here is produced under the Copernicus Programme and is provided free of charge, without restriction of use. For the full license information see the Copernicus Regulation</para>
    </intellectualRights>
    <licensed>
      <licenseName>Copernicus Regulation</licenseName>
      <url>https://www.copernicus.eu/main/data-access/</url>
      <acknowledgements>
        <instrument />
      </acknowledgements>
    </licensed>
    <distribution>
      <online>
        <onlineDescription>Global surface water - python 2</onlineDescription>
        <url>https://storage.cloud.google.com/global-surface-water/downloads_ancillary/downloadWaterDatasets2021.zip</url>
      </online>
    </distribution>
    <distribution>
      <online>
        <onlineDescription>Global surface water - python 3</onlineDescription>
        <url>https://storage.cloud.google.com/global-surface-water/downloads_ancillary/downloadWaterData_PythonV3_2021.zip</url>
      </online>
    </distribution>
    <distribution>
      <online>
        <onlineDescription>Global surface water - GitHub</onlineDescription>
        <url>https://github.com/mentaljam/download_water_data</url>
      </online>
    </distribution>
    <coverage>
      <geographicCoverage>
        <geographicDescription>Gloabl</geographicDescription>
        <boundingCoordinates>
          <westBoundingCoordinate>-180</westBoundingCoordinate>
          <eastBoundingCoordinate>180</eastBoundingCoordinate>
          <northBoundingCoordinate>90</northBoundingCoordinate>
          <southBoundingCoordinate>-90</southBoundingCoordinate>
          <boundingAltitudes>
            <altitudeMinimum />
            <altitudeMaximum />
            <altitudeUnits />
          </boundingAltitudes>
        </boundingCoordinates>
      </geographicCoverage>
      <temporalCoverage>
        <rangeOfDates>
          <beginDate>
            <calendarDate>1984-01-01</calendarDate>
          </beginDate>
          <endDate>
            <calendarDate>2021-12-31</calendarDate>
          </endDate>
        </rangeOfDates>
      </temporalCoverage>
    </coverage>
    <contact>
      <organizationName>Joint Research Centre Surface Water</organizationName>
      <individualName>
        <givenName />
        <surName />
      </individualName>
      <positionName />
      <electronicMailAddress>jrc-surfacewater@ec.europa.eu</electronicMailAddress>
      <userId />
    </contact>
    <methods>
      <methodStep>
        <description>
          <para>Files are name following this convention: [variable]_[coordinate]_[coordiate]_[year].tif</para>
        </description>
        <citation>
          <para>Pekel, J. F., Cottam, A., Gorelick, N., and Belward, A. S. (2016). High-resolution mapping of global surface water and its long-term changes. Nature, 540(7633), 418-422. doi:10.1038/nature20584.</para>
        </citation>
      </methodStep>
      <sampling>
        <studyExtent>
          <para />
        </studyExtent>
        <samplingDescription>
          <para />
        </samplingDescription>
      </sampling>
    </methods>
    <project>
      <title>Global surface water 1984 - 2021</title>
      <abstract>
        <para>The European Commission's Joint Research Centre developed a new water dataset in the framework of the Copernicus Programme. The project maps the location and temporal distribution of water surfaces at the global scale over the past 32 years and provides statistics on the extent and change of those water surfaces. The dataset, produced from Landsat imagery (courtesy USGS and NASA), will support applications including water resource management, climate modelling, biodiversity conservation and food security.</para>
      </abstract>
      <personnel>
        <organizationName>Joint Research Centre</organizationName>
        <individualName>
          <givenName />
          <surName />
        </individualName>
        <positionName />
      </personnel>
    </project>
    <dataTable>
      <entityName>global-surface-water</entityName>
      <physical>
        <dataFormat>
          <externallyDefinedFormat>
            <formatName>GeoTIFF</formatName>
          </externallyDefinedFormat>
        </dataFormat>
      </physical>
      <attributeList>
        <attribute>
          <attributeName>occurrence</attributeName>
          <attributeLabel>Occurrence</attributeLabel>
          <attributeDefinition>Areas where surface water occurred between 1984 and 2021 expressed as a percentage</attributeDefinition>
          <attributeStandardUnit />
        </attribute>
        <attribute>
          <attributeName>change</attributeName>
          <attributeLabel>Occurrence change intensity</attributeLabel>
          <attributeDefinition>Areas where surface water occurrence increased, decreased or remained the same between 1984-1999 and 2000-2021</attributeDefinition>
          <attributeStandardUnit />
        </attribute>
        <attribute>
          <attributeName>seasonality</attributeName>
          <attributeLabel>Seasonality</attributeLabel>
          <attributeDefinition>The number of months that water was present from January 2021 to December 2021</attributeDefinition>
          <attributeStandardUnit />
        </attribute>
        <attribute>
          <attributeName>recurrence</attributeName>
          <attributeLabel>Recurrence</attributeLabel>
          <attributeDefinition>The frequency with which water returns from years to year expressed as a percentage</attributeDefinition>
          <attributeStandardUnit />
        </attribute>
        <attribute>
          <attributeName>transitions</attributeName>
          <attributeLabel>Transiations</attributeLabel>
          <attributeDefinition>The type of transition between the first and last year</attributeDefinition>
          <attributeStandardUnit />
        </attribute>
        <attribute>
          <attributeName>extent</attributeName>
          <attributeLabel>Maximum water extent</attributeLabel>
          <attributeDefinition>A simple flag indicating if water was detected or not</attributeDefinition>
          <attributeStandardUnit />
        </attribute>
      </attributeList>
    </dataTable>
  </dataset>
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