<?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>S2007-11322025000100072</article-id>
<article-id pub-id-type="doi">10.29298/rmcf.v16i87.1488</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Medición de parámetros de inventario forestal en bosques plantados, mediante tecnología LiDAR: Comparación de métodos]]></article-title>
<article-title xml:lang="en"><![CDATA[Measuring forest inventory parameters in planted forests using LiDAR technology: Comparison of methods]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Hernández-Moreno]]></surname>
<given-names><![CDATA[José Antonio]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
<xref ref-type="aff" rid="Aaf"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Pérez-Salicrup]]></surname>
<given-names><![CDATA[Diego Rafael]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Velázquez-Martínez]]></surname>
<given-names><![CDATA[Alejandro]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Instituto Nacional de Investigaciones Forestales Agrícolas y Pecuarias  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>México</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Nacional Autónoma de México Instituto de Investigaciones en Ecosistemas y Sustentabilidad ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Colegio de Postgraduados  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>02</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>02</month>
<year>2025</year>
</pub-date>
<volume>16</volume>
<numero>87</numero>
<fpage>72</fpage>
<lpage>99</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S2007-11322025000100072&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S2007-11322025000100072&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S2007-11322025000100072&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen El inventario forestal describe cantidad, tamaño y calidad de los árboles de un bosque, así como las características del espacio donde crecen. Tradicionalmente, el inventario forestal se realiza manualmente, con calibradores (forcípulas) para medir el diámetro a la altura del pecho (DAP), y dispositivos que utilizan principios geométricos, como el clinómetro para la estimación de la altura total (AT). En el presente trabajo se documenta la aplicabilidad de una tableta con tecnología LiDAR integrada para la medición de parámetros de inventario forestal, mediante la comparación de datos dendrométricos obtenidos mediante LiDAR y con métodos tradicionales: posición geográfica, DAP, AT, diámetro de copa (DC) y altura de fuste limpio (FL) de árboles individuales, en un bosque plantado de coníferas. Se realizó un análisis de regresión lineal simple con cada variable y se aplicó una prueba t-student, para la determinación de diferencias entre medias, así como el cálculo de la Raíz del Error Cuadrático Medio (RECM) para medir el error entre los valores predichos y los observados. Los resultados muestran una R  2 =0.99 y RECM=0.657 cm para el DAP; R  2 =0.98 y un RECM=0.369 m para la AT; R  2 =0.95 y RECM=0.341 cm para el DC y R  2 =0.97 y RECM=0.208 cm para el FL. El tiempo total del escaneo para la adquisición de datos LiDAR fue 3.4 veces menor al tiempo del inventario forestal tradicional. El método propuesto para inventario forestal en bosques plantados mediante el dispositivo móvil es confiable, preciso y consume menos tiempo, en comparación con el enfoque tradicional.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract Forest inventory describes the quantity, size, and quality of the trees in a forest and the characteristics of the space where they grow. Traditionally, a forest inventory is carried out manually, with calipers to measure the diameter at breast height (DBH), and devices that use geometric principles, such as the clinometer for the estimation of total height (TH). This paper documents the applicability of a tablet with integrated LiDAR technology for the measurement of forest inventory parameters, by comparing dendrometric data obtained with LiDAR and traditional methods: geographic position, DBH, TH, crown diameter (CD) and clear stem height (CS) of individual trees in a planted coniferous forest. A simple linear regression analysis was performed with each variable, and a t-student test was applied to determine differences between means, as well as to calculate the Root Mean Square Error (RMSE) to measure the error between predicted and observed values. The results show a R  2 =0.99 and RMSE=0.657 cm for DBH; a R  2 =0.98 and a RMSE=0.369 m for TH; a R  2 =0.95 and RMSE=0.341 cm for CD, and a R  2 =0.97 and RMSE=0.208 cm for CS. The total scanning time for LiDAR data acquisition was 3.4 times less than traditional forest inventory time. The proposed method for forest inventory in planted forests using the mobile device is reliable, accurate, and less time-consuming than the traditional approach.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Escaneo láser terrestre]]></kwd>
<kwd lng="es"><![CDATA[iPad Pro ®]]></kwd>
<kwd lng="es"><![CDATA[parámetros forestales]]></kwd>
<kwd lng="es"><![CDATA[realidad aumentada]]></kwd>
<kwd lng="es"><![CDATA[software de uso libre]]></kwd>
<kwd lng="es"><![CDATA[sensor LiDAR móvil]]></kwd>
<kwd lng="en"><![CDATA[Terrestrial laser scanning]]></kwd>
<kwd lng="en"><![CDATA[iPad Pro®]]></kwd>
<kwd lng="en"><![CDATA[forest parameters]]></kwd>
<kwd lng="en"><![CDATA[augmented reality]]></kwd>
<kwd lng="en"><![CDATA[free to use software]]></kwd>
<kwd lng="en"><![CDATA[mobile LiDAR sensor]]></kwd>
</kwd-group>
</article-meta>
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