<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>0124-8170</journal-id>
<journal-title><![CDATA[Ciencia e Ingeniería Neogranadina]]></journal-title>
<abbrev-journal-title><![CDATA[Cienc. Ing. Neogranad.]]></abbrev-journal-title>
<issn>0124-8170</issn>
<publisher>
<publisher-name><![CDATA[Universidad Militar Nueva Granada]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0124-81702020000100027</article-id>
<article-id pub-id-type="doi">10.18359/rcin.3342</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Assessment of Image-Texture Improvement Applied to Unmanned Aerial Vehicle Imagery for the Identification of Biotic Stress in Espeletia. Case Study: Moorlands of Chingaza (Colombia)]]></article-title>
<article-title xml:lang="es"><![CDATA[Evaluación del aporte de las características texturales en imágenes adquiridas en vehículos aéreos no tripulados para la identificación del estrés biótico en frailejones. Caso de estudio: páramo de Chingaza (Colombia)]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Martín]]></surname>
<given-names><![CDATA[Laura]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Medina]]></surname>
<given-names><![CDATA[Javier]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Upegui]]></surname>
<given-names><![CDATA[Erika]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Distrital Francisco José de Caldas  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Distrital Francisco José de Caldas  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad Distrital Francisco José de Caldas  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Colombia</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>06</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>06</month>
<year>2020</year>
</pub-date>
<volume>30</volume>
<numero>1</numero>
<fpage>27</fpage>
<lpage>44</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S0124-81702020000100027&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S0124-81702020000100027&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S0124-81702020000100027&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract: Espeletia is one of the most representative endemic species of moorland ecosystems and is currently being affected by biotic stress. Meanwhile, the analysis of images obtained by means of unmanned aerial vehicle imagery has proved its usefulness in environmental monitoring activities. This work is aimed at establishing whether image-texture analysis applied to unmanned aerial vehicle imagery from Moorlands of Chingaza (Colombia) allows the identification of biotic stress in Espeletia. To this end, this study makes use of occurrence analysis, gray-level co-occurrence matrix, and Fourier transform. Identification of healthy/unhealthy Espeletia is conducted using maximum likelihood tests and support vector machines. The results are assessed based on overall accuracy, the kappa coefficient and Bhattacharyya distance. By combining spectral and image-texture information, it is shown that classification accuracy increases, reaching kappa coefficient values of 0.9824 and overall accuracy values of 99.51%.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen: Los frailejones son una de las especies endémicas más representativas en los ecosistemas de páramo, la cual, en los últimos años, se está viendo afectada por el estrés biótico. Las imágenes obtenidas mediante vehículos aéreos no tripulados han demostrado un gran potencial en el monito-reo ambiental. Este trabajo busca establecer si el análisis textural aplicado a estas imágenes adquiridas en el Páramo de Chingaza (Colombia) permite la identificación del estrés biótico en los frailejones. Con este fin, en este estudio se hace uso del análisis de ocurrencia, la matriz de coincidencia de nivel de gris y la transformada de Fourier. La identificación de frailejón sano y enfermo se realiza a través de la clasificación de máxima verosimilitud y de máquinas de soporte vectorial. Los resultados son evaluados a través de la precisión global, el coeficiente kappa y la distancia bhattacharyya; mostrando que la combinación de información espectral y textural aumentan la exactitud de clasificación alcanzado un coeficiente kappa de 0.9824 y una precisión global de 99.51%.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[biotic stress]]></kwd>
<kwd lng="en"><![CDATA[Espeletia]]></kwd>
<kwd lng="en"><![CDATA[maximum likelihood]]></kwd>
<kwd lng="en"><![CDATA[support vector machine]]></kwd>
<kwd lng="en"><![CDATA[texture measurements]]></kwd>
<kwd lng="en"><![CDATA[unmanned aerial vehicles]]></kwd>
<kwd lng="es"><![CDATA[estrés biótico]]></kwd>
<kwd lng="es"><![CDATA[frailejones]]></kwd>
<kwd lng="es"><![CDATA[medidas texturales]]></kwd>
<kwd lng="es"><![CDATA[máquinas de soporte vectorial]]></kwd>
<kwd lng="es"><![CDATA[máxima verosimilitud]]></kwd>
<kwd lng="es"><![CDATA[vehículos aéreos no tripulados]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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