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    <citation>
      <titlStmt>
        <titl xml:lang="sv">Sentinel-2 data för Uganda</titl>
        <parTitl xml:lang="en">Sentinel-2 Data set for Uganda</parTitl>
        <IDNo agency="SND">2021-50-1-1</IDNo>
        <IDNo agency="DOI">https://doi.org/10.5878/bc12-w579</IDNo>
      </titlStmt>
      <prodStmt>
        <producer xml:lang="en" abbr="SND">Swedish National Data Service</producer>
        <producer xml:lang="sv" abbr="SND">Svensk nationell datatjänst</producer>
      </prodStmt>
      <holdings URI="https://doi.org/10.5878/bc12-w579">Landing page</holdings>
    </citation>
  </docDscr>
  <stdyDscr>
    <citation>
      <titlStmt>
        <titl xml:lang="sv">Sentinel-2 data för Uganda</titl>
        <parTitl xml:lang="en">Sentinel-2 Data set for Uganda</parTitl>
        <IDNo agency="SND">2021-50-1-1</IDNo>
        <IDNo agency="DOI">https://doi.org/10.5878/bc12-w579</IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty xml:lang="en" affiliation="Physical Geography and Ecosystem Science, Lund University">Ardö, Jonas</AuthEnty>
        <AuthEnty xml:lang="sv" affiliation="Naturgeografi och ekosystemvetenskap, Lunds universitet">Ardö, Jonas</AuthEnty>
      </rspStmt>
      <prodStmt>
        <grantNo xml:lang="en" agency="Sweden’s government agency for development cooperation">303</grantNo>
        <grantNo xml:lang="sv" agency="Sveriges biståndsmyndighet">303</grantNo>
        <grantNo xml:lang="en" agency="Lund University, Faculty of Science">Infrastrukturmedel, Dnr V 2015/2152</grantNo>
        <grantNo xml:lang="sv" agency="Lunds universitet, Naturvetenskapliga Fakulteten">Infrastrukturmedel, Dnr V 2015/2152</grantNo>
      </prodStmt>
      <distStmt>
        <distrbtr xml:lang="en" abbr="SND" URI="https://snd.se">Swedish National Data Service</distrbtr>
        <distrbtr xml:lang="sv" abbr="SND" URI="https://snd.se">Svensk nationell datatjänst</distrbtr>
        <distDate xml:lang="en" date="2021-03-29" />
      </distStmt>
      <verStmt>
        <version elementVersion="1" elementVersionDate="2021-03-29" />
      </verStmt>
      <holdings URI="https://doi.org/10.5878/bc12-w579">Landing page</holdings>
    </citation>
    <stdyInfo>
      <subject>
        <keyword xml:lang="en" vocab="GCMD" vocabURI="https://gcmd.nasa.gov/kms/concept/6a426480-c58f-4b6b-8e35-0975b7f6edb5">LAND SURFACE</keyword>
        <keyword xml:lang="en" vocab="GCMD" vocabURI="https://gcmd.nasa.gov/kms/concept/f043c0a8-9cee-4c51-bf64-a4aaa34ab75d">REFLECTANCE</keyword>
        <keyword xml:lang="en" vocab="EnvThes" vocabURI="http://vocabs.lter-europe.net/EnvThes/22329">passive remote sensing system</keyword>
        <keyword xml:lang="en" vocab="EnvThes" vocabURI="http://vocabs.lter-europe.net/EnvThes/20266">remote sensing data</keyword>
        <topcClas xml:lang="en" vocab="INSPIRE topic categories" vocabURI="http://inspire.ec.europa.eu/metadata-codelist/TopicCategory/imageryBaseMapsEarthCover">Imagery / Base Maps / Earth Cover</topcClas>
        <topcClas xml:lang="sv" vocab="INSPIRE topic categories" vocabURI="http://inspire.ec.europa.eu/metadata-codelist/TopicCategory/imageryBaseMapsEarthCover">Arealtäckande bilder och bakgrundskartor</topcClas>
      </subject>
      <abstract xml:lang="en" contentType="abstract">Optical top of the atmosphere reflectance data from the Earth resource satellite Sentinel-2 for Uganda (2018-2020) was downloaded and processed in a systematic way to bottom of the atmosphere reflectance with the open software FORCE (Framework for Operational Radiometric Correction for Environmental monitoring, see https://force-eo.readthedocs.io/en/latest/). For each year (2018-2020), the number of clear sky observations were calculated and a best available pixel mosaic were created. For each quarter (12 in total), for two vegetation indices (EVI = Enhanced Vegetation Index and NDVI = Normalized Difference Vegetation Index) a number of relevant measures were calculated (minimum, maximum, mean, standard deviation, 5%, 50% (median) and 95% quantiles). The data have 10-meter spatial resolution and are stored in GeoTIFF format. 
Data are suitable for studies of vegetation and vegetation changes. More information and details in article published in Data (https://www.mdpi.com/journal/data), 'submitted' 2021-02-15</abstract>
      <abstract xml:lang="sv" contentType="abstract">Optiska ’top of the atmosphere’ reflektans data från jordresurssatelliten Sentinel-2 för Uganda (2018-2020) laddades ner och processerades på ett systematiskt sätt till ’ bottom of the atmosphere’ reflektans med den öppna mjukvaran FORCE (Framework for Operational Radiometric Correction for Environmental monitoring, se https://force-eo.readthedocs.io/en/latest/). För varje år (2018-2020) beräknades antalet molnfria observationer och en bäst tillgänglig pixel mosaik skapades. För varje kvartal (12 totalt) beräknades för två vegetations index (EVI = Enhanced Vegetation Index och NDVI= Normalized Difference Vegetation Index) ett antal relevanta mått (minimum, maximum, medelvärde,standard avvikelse, 5%-, 50%- (median) och 95%-kvantiler). Data har 10 meters rumslig upplösning och är i GeoTIFF format.
Data är lämpliga för studier av framförallt vegetation och vegetationsförändringar. Mer information och detaljer i artikel publicerad i Data (https://www.mdpi.com/journal/data), 'submitted' 2021-02-15</abstract>
      <sumDscr>
        <nation xml:lang="en" abbr="UG">Uganda</nation>
        <nation xml:lang="sv" abbr="UG">Uganda</nation>
        <dataKind xml:lang="en">Geospatial</dataKind>
      </sumDscr>
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    <method>
      <dataColl />
    </method>
    <dataAccs>
      <useStmt>
        <restrctn xml:lang="en">Access to data through SND. Access to data is restricted.</restrctn>
        <restrctn xml:lang="sv">Åtkomst till data via SND. Tillgång till data är begränsad.</restrctn>
        <conditions elementVersion="info:eu-repo-Access-Terms vocabulary">restrictedAccess</conditions>
      </useStmt>
    </dataAccs>
    <othrStdyMat />
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