Dataset Open Access

# Maps related to the detection of abrupt changes in NDVI approximated phenological cycles of Donana marshes for 2007-2016

Georgios Kordelas; Ioannis Manakos; Kalliroi Marini; Vasileios Kotsias; Michail Papanastasiou

### DataCite XML Export

<?xml version='1.0' encoding='utf-8'?>
<identifier identifierType="DOI">10.5281/zenodo.3403705</identifier>
<creators>
<creator>
<creatorName>Georgios Kordelas</creatorName>
<affiliation>Centre for Research and Technology - Hellas</affiliation>
</creator>
<creator>
<creatorName>Ioannis Manakos</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>Vasileios Kotsias</creatorName>
<affiliation>Centre for Research and Technology - Hellas</affiliation>
</creator>
<creator>
<creatorName>Michail Papanastasiou</creatorName>
<affiliation>Centre for Research and Technology - Hellas</affiliation>
</creator>
</creators>
<titles>
<title>Maps related to the detection of abrupt changes in NDVI approximated phenological cycles of Donana marshes for 2007-2016</title>
</titles>
<publisher>Zenodo</publisher>
<publicationYear>2019</publicationYear>
<subjects>
<subject>Donana</subject>
<subject>time of detected abrupt changes</subject>
<subject>total number of abrupt changes</subject>
<subject>time of biggest change</subject>
<subject>NDVI time series</subject>
<subject>coastal/marine</subject>
</subjects>
<dates>
<date dateType="Issued">2019-09-10</date>
</dates>
<language>en</language>
<resourceType resourceTypeGeneral="Dataset"/>
<alternateIdentifiers>
<alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3403705</alternateIdentifier>
</alternateIdentifiers>
<relatedIdentifiers>
<relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3403704</relatedIdentifier>
<relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/ecopotentialh2020</relatedIdentifier>
</relatedIdentifiers>
<rightsList>
<rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
</rightsList>
<descriptions>
<description descriptionType="Abstract">&lt;p&gt;Monitoring of abrupt changes among annual vegetation cycles of consequent years in Protected Areas is valuable for the recognition of patterns, which represent the reaction of the biomes to external factors, such as changes in the meteorological conditions (e.g. the precipitation regime), human intervention or extreme events (e.g. fire). It is an indicator of the primary production of the area and other relevant functions of the ecosystem. The BFAST, Breaks For Additive Seasonal and Trend, approach can be used for monitoring changes, since it is globally applicable and able to analyze each pixel individually without the need to set thresholds for detecting changes within time series. Thus, BFAST is applied for the detection of abrupt trend changes in NDVI time series in the case of Do&amp;ntilde;ana marshes, as a proxy to phenological metrics per pixel.&lt;/p&gt;

&lt;p&gt;BFAST outputs are used to generate: (i) a raster with the time of all detected abrupt changes per pixel (filename: &amp;ldquo;All_break_times_2007_to_2016.tif&amp;rdquo;), (ii) a raster with the total number of detected abrupt changes per pixel (filename: &amp;ldquo;Marshes_maximum_number_of_breaks_2007_to_2016.tif&amp;rdquo;), (iv) a raster with the time for which the biggest change is detected per pixel has the (filename: &amp;ldquo;Marshes_maximum_break_time_2007_to_2016.tif&amp;rdquo;).&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.docx&amp;rdquo; included in the zip containing the dataset.&lt;/p&gt;</description>
<description descriptionType="Other">{"references": ["Verbesselt, J.; Zeileis A.; Hyndman, R.: Breaks For Additive Season and Trend (BFAST), R Package Version 1.5.7. Available online: https://cran.r-project.org/web/packages/bfast  (accessed on 10 September 2019)."]}</description>
</descriptions>
<fundingReferences>
<fundingReference>
<funderName>European Commission</funderName>
<funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</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>

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