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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-B8-243-2012</article-id>
<title-group>
<article-title>LOW-COST, ULTRA-HIGH SPATIAL AND TEMPORAL RESOLUTION MAPPING OF INTERTIDAL ROCK PLATFORMS</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Bryson</surname>
<given-names>M.</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>Johnson-Roberson</surname>
<given-names>M.</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>Murphy</surname>
<given-names>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>Australian Centre for Field Robotics The University of Sydney Sydney, Australia</addr-line>
</aff>
<pub-date pub-type="epub">
<day>28</day>
<month>07</month>
<year>2012</year>
</pub-date>
<volume>XXXIX-B8</volume>
<fpage>243</fpage>
<lpage>248</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2012 M. Bryson 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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<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XXXIX-B8/243/2012/isprs-archives-XXXIX-B8-243-2012.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XXXIX-B8/243/2012/isprs-archives-XXXIX-B8-243-2012.pdf</self-uri>
<abstract>
<p>Intertidal ecosystems have primarily been studied using field-based sampling; remote sensing offers the ability to collect data over large
areas in a snapshot of time which could compliment field-based sampling methods by extrapolating them into the wider spatial and
temporal context. Conventional remote sensing tools (such as satellite and aircraft imaging) provide data at relatively course, sub-meter
resolutions or with limited temporal resolutions and relatively high costs for small-scale environmental science and ecology studies. In
this paper, we describe a low-cost, kite-based imaging system and photogrammetric pipeline that was developed for constructing highresolution,
3D, photo-realistic terrain models of intertidal rocky shores. The processing pipeline uses automatic image feature detection
and matching, structure-from-motion and photo-textured terrain surface reconstruction algorithms that require minimal human input
and only a small number of ground control points and allow the use of cheap, consumer-grade digital cameras. The resulting maps
combine colour and topographic information at sub-centimeter resolutions over an area of approximately 100m, thus enabling spatial
properties of the intertidal environment to be determined across a hierarchy of spatial scales. Results of the system are presented for
an intertidal rock platform at Cape Banks, Sydney, Australia. Potential uses of this technique include mapping of plant (micro- and
macro-algae) and animal (e.g. gastropods) assemblages at multiple spatial and temporal scales.</p>
</abstract>
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