September 10, 2019 Dataset Open Access

Ioannis Manakos; Georgios Kordelas; Kalliroi Marini; Georgios Chantziaras

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  <identifier identifierType="DOI">10.5281/zenodo.3403798</identifier>
  <creators>
    <creator>
      <creatorName>Ioannis Manakos</creatorName>
      <affiliation>Centre for Research and Technology - Hellas</affiliation>
    </creator>
    <creator>
      <creatorName>Georgios Kordelas</creatorName>
      <affiliation>Centre for Research and Technology - Hellas</affiliation>
    </creator>
    <creator>
      <creatorName>Kalliroi Marini</creatorName>
      <affiliation>Centre for Research and Technology - Hellas</affiliation>
    </creator>
    <creator>
      <creatorName>Georgios Chantziaras</creatorName>
      <affiliation>Centre for Research and Technology - Hellas</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Phenology metric layers and their classification layers for the NDVI approximated phenological cycle of Donana from 01/12/2015 to 31/11/2016.</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2019</publicationYear>
  <subjects>
    <subject>Phenology metrics</subject>
    <subject>Senescence day</subject>
    <subject>Green up day</subject>
    <subject>Day of Maximum NDVI</subject>
    <subject>Total number of NDVI peaks</subject>
    <subject>ISODATA</subject>
    <subject>coastal/marine</subject>
  </subjects>
  <contributors>
    <contributor contributorType="ContactPerson">
      <contributorName>Ioannis Manakos</contributorName>
      <affiliation>Centre for Research and Technology - Hellas</affiliation>
    </contributor>
    <contributor contributorType="Producer">
      <contributorName>Georgios Kordelas</contributorName>
      <affiliation>Centre for Research and Technology - Hellas</affiliation>
    </contributor>
    <contributor contributorType="Producer">
      <contributorName>Kalliroi Marini</contributorName>
      <affiliation>Centre for Research and Technology - Hellas</affiliation>
    </contributor>
    <contributor contributorType="Producer">
      <contributorName>Georgios Chantziaras</contributorName>
      <affiliation>Centre for Research and Technology - Hellas</affiliation>
    </contributor>
    <contributor contributorType="ProjectManager">
      <contributorName>Ioannis Manakos</contributorName>
      <affiliation>Centre for Research and Technology - Hellas</affiliation>
    </contributor>
  </contributors>
  <dates>
    <date dateType="Issued">2019-09-10</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3403798</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3403797</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/ecopotentialh2020</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;Analysis of changes in the phenological cycle of different plant species provide important information that may be used to assess the impact of seasonal and inter-annual climate variations on terrestrial vegetation. Phenex software has been used for estimating phenology related layers for Donana marshes relying on NDVI time series covering one year period from 01/12/2015 to 31/11/2016.&lt;/p&gt;

&lt;p&gt;&amp;ldquo;Phenology_metrics_layer_Dec2015_Nov2016.tif&amp;rdquo; includes the following layers: (i) green up day, (ii) senescence day, (iii) day of max NDVI value, and (iv) total number of NDVI peaks. These layers are also provided separately with the names: &amp;ldquo;Greenup_day_Dec2015_Nov2016.tif&amp;rdquo;, &amp;ldquo;Senescence_day_Dec2015_Nov2016.tif&amp;rdquo;, &amp;ldquo;Max_day_Dec2015_Nov2016.tif&amp;rdquo;, &amp;ldquo;Number_of_peaks_Dec2015_Nov2016.tif&amp;rdquo;.&lt;/p&gt;

&lt;p&gt;Classification layers based on these layers have been also generated. In particular, &amp;quot;ISODATA_classification_all_input_layers_Dec2015_Nov2016.tif&amp;quot; layer contains the classes generated when providing all phenology related layers as input to the ISODATA algorithm, while &amp;quot;ISODATA_classification_three_input_layers_Dec2015_Nov2016.tif&amp;quot; layer contains contains the classes generated when providing three penology related layers (i.e. greenup day, day of max NDVI value, senescence day layers) as input to the ISODATA algorithm.&lt;/p&gt;

&lt;p&gt;The above files are accompanied by INSPIRE metadata XML files. Detailed information can be found in the &amp;ldquo;Readme.pdf&amp;rdquo; included in the zip containing the dataset.&lt;/p&gt;

&lt;p&gt;&amp;nbsp;&lt;/p&gt;</description>
    <description descriptionType="Other">{"references": ["Lange, M.; Doktor, D. Phenex: Auxiliary Functions for Phenological Data Analysis, R Package Version 1.4-5. Available online: https://CRAN.R-project.org/package=phenex (accessed on 10 September 2019)."]}</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/100010661</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/641762/">641762</awardNumber>
      <awardTitle>ECOPOTENTIAL: IMPROVING FUTURE ECOSYSTEM BENEFITS THROUGH EARTH OBSERVATIONS</awardTitle>
    </fundingReference>
  </fundingReferences>
</resource>