<?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>2007-7858</journal-id>
<journal-title><![CDATA[CienciaUAT]]></journal-title>
<abbrev-journal-title><![CDATA[CienciaUAT]]></abbrev-journal-title>
<issn>2007-7858</issn>
<publisher>
<publisher-name><![CDATA[Universidad Autónoma de Tamaulipas]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2007-78582020000100160</article-id>
<article-id pub-id-type="doi">10.29059/cienciauat.v14i2.1298</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Análisis multitemporal de cambios de uso de la tierra en San Fernando, Tamaulipas, durante el periodo 1987 a 2017]]></article-title>
<article-title xml:lang="en"><![CDATA[Multitemporal land use change analysis in San Fernando, Tamaulipas for the Period 1987 to 2017]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Salinas-Castillo]]></surname>
<given-names><![CDATA[Wilver Enrique]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Terrazas-Ruiz]]></surname>
<given-names><![CDATA[Marijose]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Mora-Olivo]]></surname>
<given-names><![CDATA[Arturo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Paredes-Hernandez]]></surname>
<given-names><![CDATA[Cutberto Uriel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Autónoma de Tamaulipas Instituto de Ingeniería y Ciencias ]]></institution>
<addr-line><![CDATA[Ciudad Victoria Tamaulipas]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Autónoma de Tamaulipas Instituto de Ecología Aplicada ]]></institution>
<addr-line><![CDATA[Ciudad Victoria Tamaulipas]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>06</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>06</month>
<year>2020</year>
</pub-date>
<volume>14</volume>
<numero>2</numero>
<fpage>160</fpage>
<lpage>173</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S2007-78582020000100160&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S2007-78582020000100160&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S2007-78582020000100160&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen El cambio de uso de la tierra (CUT) tiende a impactar de manera negativa los procesos atmosféricos y climáticos globales. El presente artículo tuvo como objetivo evaluar el CUT en el municipio de San Fernando, Tamaulipas, México, durante el periodo 1987 a 2017. Se utilizó el método de clasificación por segmentación de imágenes satelitales, de los años 1987, 1997, 2007 y 2017, el cual, permitió reducir el ruido característico de la clasificación basada en pixeles. Sin embargo, fue necesario editar los resultados, para recuperar los asentamientos humanos, eliminar nubes y sombras, y reducir los efectos de confusión entre cobertura vegetal y zonas agrícolas con cultivos presentes, para evitar introducir CUT artificiales en las estadísticas obtenidas. El análisis multitemporal mostró una clara tendencia en la reducción de la cobertura vegetal (-6.53 %) y del área sin vegetación aparente (-1.71 %). También se observó un importante incremento en el uso agrícola (+7.61 %), que no pareció estar asociado a un incremento en asentamientos humanos (+0.08 %). La metodología desarrollada parece ser adecuada y fácil de implementar para el análisis de CUT en regiones de interés.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract Land Use Change (LUC) tends to have a negative effect on global atmospheric and climate processes. The objective of this paper was to assess the LUC for the San Fernando, Tamaulipas, Mexico municipality, during the period comprehended between 1987 and 2017. The classification by segmentation method was applied to satellite images obtained from 1987, 1997, 2007 and 2017, which allowed for a reduction in the noise that is characteristic of pixel-based classification. However, it was necessary to edit the results in order to recover human settlements, eliminate clouds and shadows, and reduce the confusion between vegetation cover and cultivated agricultural land in order to avoid introducing artificial LUC in the statistics produced. The multitemporal analysis showed a clear trend in the reduction of vegetation cover (-6.53 %) and of areas devoid of vegetation (-1.71 %). Likewise, the results also highlight a significant increase of agricultural land (+7.61 %), which seems to be unassociated with the increase of human settlements (+0.08 %). The developed methodology seems to be appropriate and of easy implementation to carry out the LUC analysis in other regions of interest.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[uso de la tierra]]></kwd>
<kwd lng="es"><![CDATA[detección de cambios]]></kwd>
<kwd lng="es"><![CDATA[segmentación]]></kwd>
<kwd lng="es"><![CDATA[Landsat]]></kwd>
<kwd lng="en"><![CDATA[land use]]></kwd>
<kwd lng="en"><![CDATA[change detection]]></kwd>
<kwd lng="en"><![CDATA[segmentation]]></kwd>
<kwd lng="en"><![CDATA[Landsat]]></kwd>
</kwd-group>
</article-meta>
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