<?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>2007-1132</journal-id>
<journal-title><![CDATA[Revista mexicana de ciencias forestales]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. mex. de cienc. forestales]]></abbrev-journal-title>
<issn>2007-1132</issn>
<publisher>
<publisher-name><![CDATA[Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2007-11322026000200028</article-id>
<article-id pub-id-type="doi">10.29298/rmcf.v17i94.1580</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Algoritmos de aprendizaje automático para el mapeo de coberturas en un Área Natural Protegida]]></article-title>
<article-title xml:lang="en"><![CDATA[Machine learning algorithms for land cover mapping in a Protected Natural Area]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Martínez de León]]></surname>
<given-names><![CDATA[Natalia]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[González Gutiérrez]]></surname>
<given-names><![CDATA[Ignacio]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Ramírez Campanur]]></surname>
<given-names><![CDATA[Xóchitl Celeste]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rocandio Rodríguez]]></surname>
<given-names><![CDATA[Mario]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Medina Puente]]></surname>
<given-names><![CDATA[Arturo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Autónoma de Tamaulipas Facultad de Ingeniería y Ciencias ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Michoacana de San Nicolás de Hidalgo Facultad de Arquitectura ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>04</month>
<year>2026</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>04</month>
<year>2026</year>
</pub-date>
<volume>17</volume>
<numero>94</numero>
<fpage>28</fpage>
<lpage>53</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S2007-11322026000200028&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S2007-11322026000200028&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S2007-11322026000200028&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen Las áreas naturales protegidas contribuyen a la conservación de la biodiversidad, la mitigación del cambio climático y brindan servicios ecosistémicos. La información precisa sobre la distribución de las coberturas y usos del suelo es fundamental para la gestión de estas zonas, y los datos de la misión Sentinel-2 son adecuados para su monitoreo. Por ello, el objetivo del estudio fue comparar el rendimiento de cuatro algoritmos de aprendizaje automático: Máquina de Vectores de Soporte (SVM), Bosques Aleatorios (RF), Árboles de Gradiente Aumentado (GBT) y Árboles de Clasificación y Regresión (CART), integrando índices espectrales y variables topográficas. Se utilizó la colección Sentinel-2 y un conjunto de muestras estratificadas para su validación (n=641). La fiabilidad temática se evaluó mediante matrices de confusión ajustadas al área. Se utilizó una prueba Z de dos proporciones para comparar los algoritmos a nivel global y una prueba chi-cuadrada de McNemar para comparar las predicciones clase por clase. Los resultados mostraron que SVM y GBT presentaron la mayor fiabilidad global de 88 % y 86 %, respectivamente. La comparación de algoritmos de la prueba Z evidenció que la mitad de los emparejamientos de algoritmos eran estadísticamente diferentes. La prueba chi-cuadrada de McNemar mostró que 46 % de las comparaciones por clase entre algoritmos pareados fueron estadísticamente significativas (p&#8804;0.05). En conclusión, los algoritmos de aprendizaje automático permiten generar mapas precisos de cobertura y uso del suelo (CUS). Se recomienda su implementación en la toma de decisiones por su capacidad para reconocer patrones complejos.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract Protected natural areas contribute to biodiversity conservation and to climate change mitigation, and provide ecosystem services. Accuracy assessment information on land cover and land use distribution is essential for managing these areas, and Sentinel-2 mission data are well-suited for monitoring them. Therefore, the objective of the study was to compare the performance of four machine learning algorithms -Support Vector Machine (SVM), Random Forests (RF), Gradient-Boosted Decision Trees (GBDT), and Classification and Regression Trees (CART)-, integrating spectral indices and topographic variables. The Sentinel-2 collection and a stratified sample set were used for validation (n=641). Accuracy was assessed using area-weighted confusion matrices. A two-proportion Z-test was used to compare the algorithms globally, and a McNemar chi-square test was used to compare predictions for each class. The results showed that SVM and GBT had the highest overall accuracy, of 88 % and 86 %, respectively. Comparison of the Z-test algorithms showed that half of the algorithm pairings were statistically different. McNemar's chi-square test showed that 46 % of the comparisons by class between paired algorithms were statistically significant (p&#8804;0.05). In conclusion, machine learning algorithms enable the generation of accurate land cover and land use (LCLU) maps. Its implementation in decision-making is recommended due to its ability to recognize complex patterns.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Fiabilidad temática]]></kwd>
<kwd lng="es"><![CDATA[Google Earth Engine]]></kwd>
<kwd lng="es"><![CDATA[Olofsson]]></kwd>
<kwd lng="es"><![CDATA[prueba McNemar]]></kwd>
<kwd lng="es"><![CDATA[prueba Z]]></kwd>
<kwd lng="es"><![CDATA[Sentinel-2A]]></kwd>
<kwd lng="en"><![CDATA[Thematic reliability]]></kwd>
<kwd lng="en"><![CDATA[Google Earth Engine]]></kwd>
<kwd lng="en"><![CDATA[Olofsson]]></kwd>
<kwd lng="en"><![CDATA[McNemar test]]></kwd>
<kwd lng="en"><![CDATA[Z test]]></kwd>
<kwd lng="en"><![CDATA[Sentinel-2A]]></kwd>
</kwd-group>
</article-meta>
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