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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-B8-507-2012</article-id>
<title-group>
<article-title>HIGH TEMPORAL FREQUENCY BIOPHYSICAL AND STRUCTURAL VEGETATION INFORMATION FROM MULTIPLE REMOTE SENSING SENSORS CAN SUPPORT MODELLING OF EVENT BASED HILLSLOPE EROSION IN QUEENSLAND</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Schoettker</surname>
<given-names>B.</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>Searle</surname>
<given-names>R.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Schmidt</surname>
<given-names>M.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Phinn</surname>
<given-names>S.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>The School of Geography, Planning and Environmental Management, The University of Queensland, 4072 St Lucia, Queensland, Australia</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Commonwealth Scientific and Industrial Research Organisation, Ecosciences Precinct, 4102 Dutton Park, Queensland, Australia</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>Queensland Department of Environment and Resource Management, Remote Sensing Centre Environment and Resource Sciences Ecosciences Precinct, 4102 Dutton Park, Queensland, Australia</addr-line>
</aff>
<pub-date pub-type="epub">
<day>30</day>
<month>07</month>
<year>2012</year>
</pub-date>
<volume>XXXIX-B8</volume>
<fpage>507</fpage>
<lpage>512</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2012 B. Schoettker 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>
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<abstract>
<p>This study demonstrates the potential applicability of high temporal frequency information on the biophysical condition of the
vegetation from a time series of the global Moderate Resolution Imaging Spectroradiometer (MODIS) Fraction of Photosynthetically
Active Radiation absorbed by vegetation (FPAR) from 2000 to 2006 (collection 4; 8-day composites in 1 km spatial resolution) to
improve modelling of soil loss in a tropical, semi-arid catchment in Queensland.
&lt;br&gt;&lt;br&gt;
Combining the biophysical information from the MODIS FPAR with structural vegetation information from the Geoscience Laser
Altimeter System on the Ice, Cloud, and land Elevation Satellite (ICESat) for six vegetation structural categories identified from a
Landsat Thematic Mapper 5 (TM) and Enhanced Thematic Mapper 7 (ETM+) woody foliage projective cover product representing
floristically and structurally homogeneous areas, dynamic vegetative cover factor (vCf) estimates were calculated. The dynamic vCf
were determined in accordance with standard calculation methods used in erosion models worldwide. Time series of dynamic vCf
were integrated into a regionally improved version of the Universal Soil Loss Equation (USLE) to predict daily soil losses for the
study area. Resulting time series of daily soil loss predictions averaged over the study area coincided well with measures of total
suspended solids (TSS) (mg/l) at a gauge at the outlet of the catchment for three wet seasons (&lt;i&gt;R&lt;sup&gt;2&lt;/sup&gt;&lt;/i&gt; of 0.96 for a TSS-event). By
integrating the dynamic vCf into modified USLE, the strength of the dependence of daily soil loss predictions to the only other
dynamic factor in the equation &amp;ndash; daily rainfall erosivity &amp;ndash; was reduced.</p>
</abstract>
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