September 10, 2019 Dataset Open Access

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

MARC21 XML Export

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    <subfield code="x">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).</subfield>
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    <subfield code="a">Donana</subfield>
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    <subfield code="a">time of detected abrupt changes</subfield>
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    <subfield code="a">total number of abrupt changes</subfield>
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    <subfield code="a">time of biggest change</subfield>
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    <subfield code="u">Centre for Research and Technology - Hellas</subfield>
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    <subfield code="a">Michail Papanastasiou</subfield>
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    <subfield code="u">Centre for Research and Technology - Hellas</subfield>
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    <subfield code="u">Centre for Research and Technology - Hellas</subfield>
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    <subfield code="a">Georgios Kordelas</subfield>
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    <subfield code="a">Michail Papanastasiou</subfield>
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    <subfield code="u">Centre for Research and Technology - Hellas</subfield>
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    <subfield code="u">https://zenodo.org/record/3403705/files/BFAST_Phenological_Change_Detection_in_Marshes_2007to_2016_using_Landsat_NDVI_series.zip</subfield>
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    <subfield code="u">Centre for Research and Technology - Hellas</subfield>
    <subfield code="a">Georgios Kordelas</subfield>
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    <subfield code="a">Maps related to the detection of abrupt changes in NDVI approximated phenological cycles of Donana marshes for 2007-2016</subfield>
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    <subfield code="a">user-ecopotentialh2020</subfield>
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    <subfield code="a">ECOPOTENTIAL: IMPROVING FUTURE ECOSYSTEM BENEFITS THROUGH EARTH OBSERVATIONS</subfield>
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    <subfield code="u">https://creativecommons.org/licenses/by/4.0/legalcode</subfield>
    <subfield code="a">Creative Commons Attribution 4.0 International</subfield>
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    <subfield code="a">&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;</subfield>
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