<?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>S2007-11322021000600081</article-id>
<article-id pub-id-type="doi">10.29298/rmcf.v12i68.1075</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Estimación de parámetros forestales mediante datos de Sentinel 2A en Pueblo Nuevo, Durango]]></article-title>
<article-title xml:lang="en"><![CDATA[Estimation of forest parameters using Sentinel 2A data in Pueblo Nuevo, state of Durango]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[López Serrano]]></surname>
<given-names><![CDATA[Pablito Marcelo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Vega Nieva]]></surname>
<given-names><![CDATA[Daniel José]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Ramírez Aldaba]]></surname>
<given-names><![CDATA[Hugo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[García Montiel]]></surname>
<given-names><![CDATA[Emily]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Corral Rivas]]></surname>
<given-names><![CDATA[José Javier]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Juárez del Estado de Durango Instituto de Silvicultura e Industria de la Madera ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>México</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Juárez del Estado de Durango Facultad de Ciencias Forestales ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>México</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2021</year>
</pub-date>
<volume>12</volume>
<numero>68</numero>
<fpage>81</fpage>
<lpage>106</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S2007-11322021000600081&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S2007-11322021000600081&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S2007-11322021000600081&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen Los bosques templados requieren de un monitoreo periódico con el fin de lograr un manejo sustentable. Los sensores remotos permiten hacer estimaciones de manera indirecta bajo el supuesto de que existe una correlación estadística entre datos satelitales y parámetros forestales. El objetivo del presente trabajo fue estimar el área basal (G), el volumen forestal (Vta) y la biomasa forestal aérea (W) mediante datos espectrales del satélite Sentinel 2A en la Comunidad de San Bernardino de Milpillas Chico, Pueblo Nuevo, Durango. Se realizó un análisis de correlación entre información dasométrica procedente de 22 Sitios Permanentes de Investigación Forestal y de Suelos (SPIFyS) e información espectral de alta resolución del sensor Sentinel 2A. Posteriormente, se generó un modelo de regresión múltiple para cada parámetro forestal. El coeficiente de correlación (r) más alto se observó en el NDVI con valores de 0.77, 0.68 y 0.76 para los parámetros forestales de Vta, G y W, respectivamente. Los modelos desarrollados explicaron 59 % de la varianza total observada en el Vta (RCME=57.60 m3 ha-1), 58 % en W (RCME=39.29 Mg ha-1), y 51 % en G (RCME=4.40 m2 ha-1). El NDVI fue la principal variable predictiva en los tres modelos. Los datos de Sentinel 2A con resolución de 10 m en combinación con información dasométrica derivada de SPIFyS mostraron una buena capacidad para el mapeo de parámetros forestales en bosques templados.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract The temperate forests demand periodic monitoring in order to reach a sustainable management. The remote sensing makes it possible to indirectly generate estimates under the assumption of a statistical correlation between satellite data and forest parameters. The aim of this work was to estimate the basimetric area (G), the forest volume (Vta) and the aboveground biomass (W), using spectral data from the Sentinel 2A satellite in the San Bernardino de Milpillas Chico Community, Pueblo Nuevo, state of Durango. A correlation analysis was performed between mensuration information from 22 permanent plots for forest and soil research (SPIFyS) and high-resolution spectral information from the Sentinel 2A sensor. Subsequently, a multiple regression model was developed for each forest stand parameter. The highest correlation coefficient (r) was observed in the NDVI with values of 0.77, 0.68 and 0.76 for the forest parameters of Vta, G and W, respectively. The developed models explained 59 % of the total variance observed for Vta (RCME = m3 ha-1), 58 % for W (RCME = 39.29 Mg ha-1) and 51% for G (RCME = 4.40 m2 ha-1). The NDVI was the main predictive variable in three models. The Sentinel 2A data with a resolution of 10 m in combination with mensuration information from SPIFyS showed a good capacity for mapping forest stand parameters in temperate forests.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Área basal]]></kwd>
<kwd lng="es"><![CDATA[biomasa aérea]]></kwd>
<kwd lng="es"><![CDATA[parcelas permanentes]]></kwd>
<kwd lng="es"><![CDATA[sensores remotos]]></kwd>
<kwd lng="es"><![CDATA[Sentinel]]></kwd>
<kwd lng="es"><![CDATA[volumen forestal]]></kwd>
<kwd lng="en"><![CDATA[Basimetric area]]></kwd>
<kwd lng="en"><![CDATA[aboveground biomass]]></kwd>
<kwd lng="en"><![CDATA[permanent plots]]></kwd>
<kwd lng="en"><![CDATA[remote sensing]]></kwd>
<kwd lng="en"><![CDATA[Sentinel]]></kwd>
<kwd lng="en"><![CDATA[forest volume]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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