<?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>1659-4266</journal-id>
<journal-title><![CDATA[Cuadernos de Investigación UNED]]></journal-title>
<abbrev-journal-title><![CDATA[Cuadernos de Investigación UNED]]></abbrev-journal-title>
<issn>1659-4266</issn>
<publisher>
<publisher-name><![CDATA[Universidad Estatal a Distancia de Costa Rica]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1659-42662019000200112</article-id>
<article-id pub-id-type="doi">10.22458/urj.v11i2.2299</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Índice de Vegetación de Diferencia Normalizada aplicado al territorio indígena agrícola de Kashaama, Venezuela]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Olivares]]></surname>
<given-names><![CDATA[Barlin Orlando]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[López-Beltrán]]></surname>
<given-names><![CDATA[Miguel Armando]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad de Córdoba  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Spain</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Autónoma de Sinaloa Facultad de Agronomía y Desarrollo Rural Departamento de suelo y agua]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>06</month>
<year>2019</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>06</month>
<year>2019</year>
</pub-date>
<volume>11</volume>
<numero>2</numero>
<fpage>112</fpage>
<lpage>121</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_arttext&amp;pid=S1659-42662019000200112&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_abstract&amp;pid=S1659-42662019000200112&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_pdf&amp;pid=S1659-42662019000200112&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN Introducción: el análisis multi-temporal de imágenes satelitales ayuda a monitorear la evolución de las comunidades de plantas y cultivos agrícolas, especialmente en áreas vulnerables. Objetivo: analizar el comportamiento del Índice de Vegetación de Diferencia Normalizada (NDVI por sus siglas en inglés) en la comunidad agrícola indígena de Kashaama, Venezuela, durante el período 2012-2013. Métodos: los datos utilizados fueron el MOD13Q1 del sensor MODIS, que incluye ese índice. Resultado: el comportamiento promedio del NDVI está directamente asociado con las principales características fisiográficas y climáticas de la región. Conclusión: el método facilitó la elaboración de mapas que, junto con el tratamiento computarizado de las imágenes de satélite, discriminan de manera confiable los tipos de vegetación y sus estados, por ejemplo, sabana cultivada versus natural.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT &#8220;Normalized Difference Vegetation Index (NDVI) applied to the agricultural indigenous territory of Kashaama, Venezuela&#8221;. Introduction: multi-temporal analysis of satellite images help monitor the evolution of plant communities and agricultural crops, especially in vulnerable areas. Objective: to analyze the behavior of the Normalized Difference Vegetation Index (NDVI) in the indigenous agricultural community of Kashaama, Venezuela, during the period 2012-2013. Methods: the data used was MOD13Q1 of the MODIS sensor, which contains the NDVI. Result: the average behavior of the NDVI is directly associated with the main physiographic and climatic characteristics of the region. Conclusion: the method facilitated the elaboration of maps that, together with computerized treatment of the satellite images, reliably discriminate vegetation types and their states, e.g. cultivated versus natural savannah.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[remote sensing]]></kwd>
<kwd lng="en"><![CDATA[vegetation]]></kwd>
<kwd lng="en"><![CDATA[climate]]></kwd>
<kwd lng="en"><![CDATA[sustainability]]></kwd>
<kwd lng="en"><![CDATA[land]]></kwd>
<kwd lng="es"><![CDATA[teledetección]]></kwd>
<kwd lng="es"><![CDATA[vegetación]]></kwd>
<kwd lng="es"><![CDATA[clima]]></kwd>
<kwd lng="es"><![CDATA[sostenibilidad]]></kwd>
<kwd lng="es"><![CDATA[tierra]]></kwd>
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