<?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>2215-2563</journal-id>
<journal-title><![CDATA[Revista Geográfica de América Central]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. Geog. Amer. Central]]></abbrev-journal-title>
<issn>2215-2563</issn>
<publisher>
<publisher-name><![CDATA[Universidad Nacional]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2215-25632019000200204</article-id>
<article-id pub-id-type="doi">10.15359/rgac.63-2.9</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Monitoreo de la producción de caña panelera mediante herramientas de SIG y teledetección, años 2016-2017, Mérida, Venezuela]]></article-title>
<article-title xml:lang="en"><![CDATA[Monitoring of panelera cane production through SIG and teledetection tools, years 2016-2017, Mérida, Venezuela]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[García]]></surname>
<given-names><![CDATA[Carlos Enrique Guillén]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rojo]]></surname>
<given-names><![CDATA[Amanda Mogollón]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Albarrán]]></surname>
<given-names><![CDATA[Mirian Josefina Dávila]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Árraga]]></surname>
<given-names><![CDATA[Katherina Boscán]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Ministerio del Poder Popular para la Agricultura Productiva y Tierras (MPPAPT)  ]]></institution>
<addr-line><![CDATA[Mérida Mérida]]></addr-line>
<country>Venezuela</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad de los Andes (ULA) Escuela de Geografía ]]></institution>
<addr-line><![CDATA[Mérida Mérid]]></addr-line>
<country>Venezuela</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad de los Andes (ULA Escuela de Geografía ]]></institution>
<addr-line><![CDATA[Mérida Mérida]]></addr-line>
<country>Venezuela</country>
</aff>
<aff id="Af4">
<institution><![CDATA[,Ministerio del Poder Popular para la Agricultura Productiva y Tierras (MPPAPT)  ]]></institution>
<addr-line><![CDATA[Mérida Mérida]]></addr-line>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2019</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2019</year>
</pub-date>
<numero>63</numero>
<fpage>204</fpage>
<lpage>223</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_arttext&amp;pid=S2215-25632019000200204&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_abstract&amp;pid=S2215-25632019000200204&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_pdf&amp;pid=S2215-25632019000200204&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen Actualmente las metodologías de evaluación de la producción agrícola no permiten realizar un seguimiento o monitoreo para conocer con precisión la producción. El estado Mérida-Venezuela aporta al país más de 515.000 TM en rubros agrícolas. Esto dificulta la captación veraz de la información productiva; por lo cual se están empleando alternativas tecnológicas que las subsanen. Se ha monitoreado la Caña panelera (Saccharum officinarum sp) a través de imágenes satelitales Sentinel 2A, del 27/03/2016 y el 01/04/2017; y procesadas con el software QGIS-2.18. Se emplearon registros agrarios para establecer las áreas de entrenamiento y verificación de la clasificación supervisada. Se identificaron 379 ha del cultivo para el 27/03/2016; y 361 ha para el 01/04/2017. Esta evaluación identificó 51,6 % más de la superficie (129 ha) obtenida por instituciones oficiales de Mérida para el año 2016, y se estima que superé en más del 50% la producción para el año 2017, ya que la institución no había consolidado la información.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract Currently the methodology of evaluation of agricultural production in Venezuela does not allow following or monitoring to accurately know the production. The Venezuela Merida state contributes more than 515,000 MT to the country in various agricultural items. This dimension limits the opportune and truthful capture of productive information; which is why technological alternatives are being used to overcome these limitations. The sugarcane (Saccharum officinarum sp), for panela purposes are being monitored through Sentinel 2A satellite images, from 03/27/2016 and 04/01/2017; and were processed using the QGIS-2.18 software. The agrarian registers were used to establish the areas of training and verification of the applied supervised classification. We identified 379 ha of the crop (30,320 TM of production) for 03/27/2016; and 361 ha (28,880 TM of production) for 04/01/2017. This evaluation identified 51.6% more area (129 ha) obtained by the official Agricultures Institutions of Mérida at the end of 2016, and it is estimated that I exceeded production by more than 50% for the year 2017, since the institution had not consolidated the information.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Monitoreo de cultivos]]></kwd>
<kwd lng="es"><![CDATA[Caña panelera]]></kwd>
<kwd lng="es"><![CDATA[Saccharum officinarum sp]]></kwd>
<kwd lng="es"><![CDATA[Teledetección]]></kwd>
<kwd lng="es"><![CDATA[SIG]]></kwd>
<kwd lng="es"><![CDATA[Mérida.]]></kwd>
<kwd lng="en"><![CDATA[Crop monitoring]]></kwd>
<kwd lng="en"><![CDATA[Sugarcane]]></kwd>
<kwd lng="en"><![CDATA[Saccharum officinarum sp]]></kwd>
<kwd lng="en"><![CDATA[Remote Sensing]]></kwd>
<kwd lng="en"><![CDATA[SIG]]></kwd>
<kwd lng="en"><![CDATA[Mérida]]></kwd>
</kwd-group>
</article-meta>
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