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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>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/isprsarchives-XL-7-W3-477-2015</article-id>
<title-group>
<article-title>Applications of Photogrammetry for Analysis of Forest Plantations. Preliminary study: Analysis of individual trees</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mora</surname>
<given-names>R.</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>Barahona</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>Aguilar</surname>
<given-names>H.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>CeNAT, PRIAS Laboratory, San José, Costa Rica</addr-line>
</aff>
<pub-date pub-type="epub">
<day>29</day>
<month>04</month>
<year>2015</year>
</pub-date>
<volume>XL-7/W3</volume>
<fpage>477</fpage>
<lpage>481</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2015 R. Mora et al.</copyright-statement>
<copyright-year>2015</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/XL-7-W3/477/2015/isprs-archives-XL-7-W3-477-2015.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XL-7-W3/477/2015/isprs-archives-XL-7-W3-477-2015.pdf</self-uri>
<abstract>
<p>This paper presents a method for using high detail volumetric information, captured with a land based photogrammetric survey, to obtain
information from individual trees. Applying LIDAR analysis techniques it is possible to measure diameter at breast height, height at
first branch (commercial height), basal area and volume of an individual tree. Given this information it is possible to calculate how
much of that tree can be exploited as wood. The main objective is to develop a methodology for successfully surveying one individual
tree, capturing every side of the stem a using high resolution digital camera and reference marks with GPS coordinates. The process
is executed for several individuals of two species present in the metropolitan area in San José, Costa Rica, &lt;i&gt;Delonix regia&lt;/i&gt; (Bojer) Raf.
and &lt;i&gt;Tabebuia rosea&lt;/i&gt; (Bertol.) DC., each one with different height, stem shape and crown area. Using a photogrammetry suite all the
pictures are aligned, geo-referenced and a dense point cloud is generated with enough detail to perform the required measurements, as
well as a solid tridimensional model for volume measurement. This research will open the way to develop a capture methodology with
an airborne camera using close range UAVs. An airborne platform will make possible to capture every individual in a forest plantation,
furthermore if the analysis techniques applied in this research are automated it will be possible to calculate with high precision the
exploit potential of a forest plantation and improve its management.</p>
</abstract>
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