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 <titles>
  <title>ODER~SO | Oder River Disaster 2022 | Data | SP04: Sentinel-2 chlorophyll-a estimates at ODER~SO sampling sites</title>
 </titles>
 <descriptions>
  <description descriptionType="Other"><![CDATA[<p>Chlorophyll-a concentrations were derived from the complete archive of Sentinel-2 imagery available over the Oder River using a retrieval algorithm based on Case 2 Regional CoastColour (C2RCC) processing. For each sampling site, valid observations were spatially aggregated across all pixels classified as water within a 3x3 pixel window (~3600m<sup>2</sup>) around each sampling site.&nbsp;The dataset includes the median, mean, standard deviation, and number of valid water pixels contributing to each spatial aggregation.</p>
<p>&nbsp;</p>
<p>Satellite observations are irregular because their availability depends on the Sentinel-2 acquisition schedule, cloud cover, atmospheric conditions, and the identification of valid water pixels. Two additional gap-filling approaches, a moving-average interpolation and a 17th-order polynomial fit, were applied to individual site time series to represent daily chlorophyll-a dynamics between valid satellite observations.</p>
<p>&nbsp;</p>
<p>Users should refer to the accompanying README and data dictionary files for further information on data processing, variable definitions, known limitations, and intended uses.</p>]]></description>
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   <contributorName nameType="Personal">Paula Torre Zaffaroni</contributorName>
   <nameIdentifier schemeURI="http://orcid.org/" nameIdentifierScheme="ORCID">0000-0002-1007-843X</nameIdentifier>
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