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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ISPRS-Archives</journal-id>
<journal-title-group>
<journal-title>The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">ISPRS-Archives</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2194-9034</issn>
<publisher><publisher-name>ISPRS</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/isprsarchives-XXXIX-B8-271-2012</article-id>
<title-group>
<article-title>MONITORING SPATIAL PATTERNS OF VEGETATION PHENOLOGY IN AN AUSTRALIAN TROPICAL TRANSECT USING MODIS EVI</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ma</surname>
<given-names>X.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Huete</surname>
<given-names>A.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Yu</surname>
<given-names>Q.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Davies</surname>
<given-names>K.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Coupe</surname>
<given-names>N. R.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Plant Functional Biology and Climate Change Cluster, University of Technology, Sydney, Australia</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China</addr-line>
</aff>
<pub-date pub-type="epub">
<day>28</day>
<month>07</month>
<year>2012</year>
</pub-date>
<volume>XXXIX-B8</volume>
<fpage>271</fpage>
<lpage>276</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2012 X. Ma et al.</copyright-statement>
<copyright-year>2012</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/3.0/">https://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XXXIX-B8/271/2012/isprs-archives-XXXIX-B8-271-2012.html">This article is available from https://isprs-archives.copernicus.org/articles/XXXIX-B8/271/2012/isprs-archives-XXXIX-B8-271-2012.html</self-uri>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XXXIX-B8/271/2012/isprs-archives-XXXIX-B8-271-2012.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XXXIX-B8/271/2012/isprs-archives-XXXIX-B8-271-2012.pdf</self-uri>
<abstract>
<p>Phenology is receiving increasing interest in the area of climate change and vegetation adaptation to climate. The
phenology of a landscape can be used as a key parameter in land surface models and dynamic global vegetation models
to more accurately simulate carbon, water and energy exchanges between land cover and atmosphere. However,
the characterisation of phenology is lacking in tropical savannas which cover more than 30% of global land area, and
are highly vulnerable to climate change. The objective of this study is to investigate the spatial pattern of vegetation
phenology along the Northern Australia Tropical Transect (NATT) where the major biomes are wet and dry tropical
savannas. For this analysis we used more than 11 years Moderate Resolution Imaging Spectroradiometer (MODIS)
Enhanced Vegetation Index (EVI) product from 2000 to 2011. Eight phenological metrics were derived: Start of Season
(SOS), End of Season (EOS), Length of Season (LOS), Maximum EVI (MaxG), Minimum EVI (MinG), annual
amplitude (AMP), large integral (LIG), and small integral (SIG) were generated for each year and each pixel. Our
results showed there are significant spatial patterns and considerable interannual variations of vegetation phenology
along the NATT study area. Generally speaking, vegetation growing season started and ended earlier in the north, and
started and ended later in the south, resulting in a southward decrease of growing season length (LOS). Vegetation
productivity, which was represented by annual integral EVI (LIG), showed a significant descending trend from the
northern part of NATT to the southern part. Segmented regression analysis showed that there exists a distinguishable
breakpoint along the latitudinal gradient, at least in terms of annual minimum EVI (EVI), which is located between
18.84&lt;sup&gt;°&lt;/sup&gt;S to 20.04&lt;sup&gt;°&lt;/sup&gt;S.</p>
</abstract>
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