<?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>S2215-25632026000100313</article-id>
<article-id pub-id-type="doi">10.15359/rgac.76-1.11</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Google Earth Engine: Evaluación de los alcances y limitaciones para la resolución de problemas agrícolas en La Finca de Santa Lucía, Barva, Heredia]]></article-title>
<article-title xml:lang="en"><![CDATA[Google Earth Engine: Evaluation of the scopes and limitations for the resolve of agricultural problems in Santa Lucía, Barva, Heredia]]></article-title>
<article-title xml:lang="pt"><![CDATA[Google Earth Engine: avaliação do alcance e limitações para resolução de problemas agrícolas na Fazenda Santa Lucía, Barva, Heredia]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Bastos Gutiérrez]]></surname>
<given-names><![CDATA[Sara]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Paniagua Jiménez]]></surname>
<given-names><![CDATA[Diana]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Vargas Martínez]]></surname>
<given-names><![CDATA[Alejandro]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Nacional de Costa Rica Escuela de Topografía, Catastro y Geodesia ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Costa Rica</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Nacional de Costa Rica Escuela de Topografía, Catastro y Geodesia ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Costa Rica</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad Nacional de Costa Rica.  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Costa Rica</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>06</month>
<year>2026</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>06</month>
<year>2026</year>
</pub-date>
<numero>76</numero>
<fpage>313</fpage>
<lpage>334</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_arttext&amp;pid=S2215-25632026000100313&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_abstract&amp;pid=S2215-25632026000100313&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_pdf&amp;pid=S2215-25632026000100313&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen: Google Earth Engine (GEE) se presenta como una herramienta innovadora para la gestión agrícola, mediante el análisis geoespacial de imágenes satelitales. En este studio, se utilizó GEE para clasificar suelos en la Finca Experimental Santa Lucía (FESL), empleando imágenes de la colección Sentinel-2 del programa Copérnico con una resolución de 20 × 20 m durante todo el año 2022. Se consideraron cuatro clases de entrenamiento (pastos, bosques, café e infraestructura) con el clasificador Random Forest. Adicionalmente, se realizó una matriz de confusión píxel por píxel para el proceso de entrenamiento y validación del modelo. Los resultados muestran una precisión global del 96 % en el entrenamiento y del 61 % en la validación, destacando la eficiencia del modelo en la distinción de clases, aunque con áreas potenciales de mejora en la diferenciación entre café y bosque.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract: Google Earth Engine (GEE) is presented as an innovative tool for agricultural management through the geospatial analysis of satellite imagery. In this study, GEE was used to classify soils at the Santa Lucía Experimental Farm (FESL), employing Sentinel-2 imagery from the Copernicus program with a resolution of 20 × 20 m throughout the year 2022. Four training classes were considered (pastures, forests, coffee, and infrastructure) using the Random Forest classifier. Additionally, a pixel-by-pixel confusion matrix was generated for both the training and validation processes. The results show an overall accuracy of 96% for the training set and 61% for the validation set, highlighting the model&#8217;s efficiency in class distinction, although with potential for improvement in distinguishing between coffee and forest classes.]]></p></abstract>
<abstract abstract-type="short" xml:lang="pt"><p><![CDATA[Resumo: O Google Earth Engine (GEE) é apresentado como uma ferramenta inovadora para a gestão agrícola, por meio da análise geoespacial de imagens de satélite. Neste estudo, o GEE foi utilizado para classificar solos na Fazenda Experimental Santa Lucía (FESL), utilizando imagens da coleção Sentinel-2 do programa Copernicus com resolução de 20 × 20 m ao longo de 2022. Quatro classes de treinamento (pastagem, floresta, café e infraestrutura) foram consideradas com o classificador Random Forest. Além disso, uma matriz de confusão pixel a pixel foi gerada para o processo de treinamento e validação do modelo. Os resultados mostram uma precisão geral de 96% no treinamento e 61% na validação, destacando a eficiência do modelo na distinção de classes, embora com potenciais áreas de melhoria na diferenciação entre café e floresta.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Agricultura]]></kwd>
<kwd lng="es"><![CDATA[Google Earth Engine]]></kwd>
<kwd lng="es"><![CDATA[imágenes satelitales]]></kwd>
<kwd lng="es"><![CDATA[Sentinel 2]]></kwd>
<kwd lng="es"><![CDATA[uso de suelo]]></kwd>
<kwd lng="en"><![CDATA[Agriculture]]></kwd>
<kwd lng="en"><![CDATA[Google Earth Engine]]></kwd>
<kwd lng="en"><![CDATA[land use]]></kwd>
<kwd lng="en"><![CDATA[satellite images]]></kwd>
<kwd lng="en"><![CDATA[Sentinel 2]]></kwd>
<kwd lng="pt"><![CDATA[Agricultura]]></kwd>
<kwd lng="pt"><![CDATA[Google Earth Engine]]></kwd>
<kwd lng="pt"><![CDATA[imagens de satélite]]></kwd>
<kwd lng="pt"><![CDATA[Sentinel-2]]></kwd>
<kwd lng="pt"><![CDATA[uso do solo]]></kwd>
</kwd-group>
</article-meta>
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