<?xml version="1.0" encoding="UTF-8"?>
<eml:eml packageId="1106" system="https://fred.igb-berlin.de" scope="system" xsi:schemaLocation="eml://ecoinformatics.org/eml-2.1.1 eml.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:eml="eml://ecoinformatics.org/eml-2.1.1">
 <dataset>
  <title>ODER~SO | Oder River Disaster 2022 | Data | SP04: Sentinel-2 chlorophyll-a estimates for the Oder River network</title>
  <creator id="creator_id-1849">
   <individualName>
    <givenName>Paula</givenName>
    <surName>Torre Zaffaroni</surName>
   </individualName>
   <address>
    <deliveryPoint>IGB Berlin</deliveryPoint>
    <deliveryPoint>Müggelseedamm 310</deliveryPoint>
    <city>Berlin</city>
    <postalCode>12587</postalCode>
    <country>DE</country>
   </address>
   <electronicMailAddress>paula.torre.zaffaroni@igb-berlin.de</electronicMailAddress>
  </creator>
  <abstract><![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 valid Sentinel-2 observation, estimates were spatially aggregated to hydrographic polygons derived from OpenStreetMap, including approximately 1-km-long river-network segments and individual water-body polygons representing lakes, ponds, reservoirs, and other lateral water bodies. The dataset includes summary statistics of chlorophyll-a concentration and the 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 spatial-unit 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 spatial-unit identifiers, data processing, variable definitions, known limitations, and intended uses.</p>]]></abstract>
  <intellectualRights>
   <para></para>
  </intellectualRights>
  <coverage>
   <geographicCoverage>
    <geographicDescription>Oder</geographicDescription>
    <boundingCoordinates>
     <westBoundingCoordinate>14.555</westBoundingCoordinate>
     <eastBoundingCoordinate>14.555</eastBoundingCoordinate>
     <northBoundingCoordinate>52.348</northBoundingCoordinate>
     <southBoundingCoordinate>52.348</southBoundingCoordinate>
    </boundingCoordinates>
   </geographicCoverage>
  </coverage>
  <contact>
   <references>creator_id-1849</references>
  </contact>
 </dataset>
</eml:eml>
