January 18, 2020 Journal article Open Access

Bresciani, Mariano; Pinardi, Monica; Free, Gary; Luciani, Giulia; Ghebrehiwot, Semhar; Laanen, Marnix; Peters, Steef; Della Bella, Valentina; Padula, Rosalba; Giardino, Claudia

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  <identifier identifierType="DOI">10.5281/zenodo.3617960</identifier>
  <creators>
    <creator>
      <creatorName>Bresciani, Mariano</creatorName>
      <givenName>Mariano</givenName>
      <familyName>Bresciani</familyName>
    </creator>
    <creator>
      <creatorName>Pinardi, Monica</creatorName>
      <givenName>Monica</givenName>
      <familyName>Pinardi</familyName>
    </creator>
    <creator>
      <creatorName>Free, Gary</creatorName>
      <givenName>Gary</givenName>
      <familyName>Free</familyName>
    </creator>
    <creator>
      <creatorName>Luciani, Giulia</creatorName>
      <givenName>Giulia</givenName>
      <familyName>Luciani</familyName>
    </creator>
    <creator>
      <creatorName>Ghebrehiwot, Semhar</creatorName>
      <givenName>Semhar</givenName>
      <familyName>Ghebrehiwot</familyName>
    </creator>
    <creator>
      <creatorName>Laanen, Marnix</creatorName>
      <givenName>Marnix</givenName>
      <familyName>Laanen</familyName>
    </creator>
    <creator>
      <creatorName>Peters, Steef</creatorName>
      <givenName>Steef</givenName>
      <familyName>Peters</familyName>
    </creator>
    <creator>
      <creatorName>Della Bella, Valentina</creatorName>
      <givenName>Valentina</givenName>
      <familyName>Della Bella</familyName>
    </creator>
    <creator>
      <creatorName>Padula, Rosalba</creatorName>
      <givenName>Rosalba</givenName>
      <familyName>Padula</familyName>
    </creator>
    <creator>
      <creatorName>Giardino, Claudia</creatorName>
      <givenName>Claudia</givenName>
      <familyName>Giardino</familyName>
    </creator>
  </creators>
  <titles>
    <title>The Use of Multisource Optical Sensors to Study Phytoplankton Spatio-Temporal Variation in a Shallow Turbid Lake</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2020</publicationYear>
  <subjects>
    <subject>chlorophyll-a; water monitoring; remote sensing; Sentinel-2 MSI; Sentinel-3 OLCI; WISPstation</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2020-01-18</date>
  </dates>
  <resourceType resourceTypeGeneral="JournalArticle"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3617960</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3617959</relatedIdentifier>
  </relatedIdentifiers>
  <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;Lake water quality monitoring has the potential to be improved through integrating&lt;br&gt;
detailed spatial information from new generation remote sensing satellites with high frequency&lt;br&gt;
observations from in situ optical sensors (WISPstation). We applied this approach for Lake Trasimeno&lt;br&gt;
with the aim of increasing knowledge of phytoplankton dynamics at dierent temporal and spatial&lt;br&gt;
scales. High frequency chlorophyll-a data from the WISPstation was modeled using non-parametric&lt;br&gt;
multiplicative regression. The &amp;lsquo;day of year&amp;rsquo; was the most important factor, reflecting the seasonal&lt;br&gt;
progression of a phytoplankton bloom from July to September. In addition, weather factors such as&lt;br&gt;
the east&amp;ndash;west wind component were also significant in predicting phytoplankton seasonal and diurnal&lt;br&gt;
patterns. Sentinel 3-OLCI and Sentinel 2-MSI satellites delivered 42 images in 2018 that successfully&lt;br&gt;
mapped the spatial and seasonal change in chlorophyll-a. The potential influence of localized inflows&lt;br&gt;
in contributing to increased chlorophyll-a in mid-summer was visualized. The satellite data also&lt;br&gt;
allowed an estimation of quality status at a much finer scale than traditional manual methods. Good&lt;br&gt;
correspondence was found with manually collected field data but more significantly, the greatly&lt;br&gt;
increased spatial and temporal resolution provided by satellite and WISPstation sensors clearly oers&lt;br&gt;
an unprecedented resource in the research and management of aquatic resources.&lt;/p&gt;</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/100010661</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/730066/">730066</awardNumber>
      <awardTitle>Earth Observation based services for Monitoring and Reporting of Ecological Status</awardTitle>
    </fundingReference>
  </fundingReferences>
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