<?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>0187-5779</journal-id>
<journal-title><![CDATA[Terra Latinoamericana]]></journal-title>
<abbrev-journal-title><![CDATA[Terra Latinoam]]></abbrev-journal-title>
<issn>0187-5779</issn>
<publisher>
<publisher-name><![CDATA[Sociedad Mexicana de la Ciencia del Suelo A.C.]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0187-57792013000400181</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Evaluación de un modelo de la BRDF a partir de simulaciones con modelos semi-empíricos lineales (sel)]]></article-title>
<article-title xml:lang="en"><![CDATA[Assessment of a BRDF model through simulations with linear semi-empirical models]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Medrano-Ruedaflores]]></surname>
<given-names><![CDATA[Edgardo Rafael]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Paz-Pellat]]></surname>
<given-names><![CDATA[Fernando]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Orozco-Mota]]></surname>
<given-names><![CDATA[José Luis]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Valdez-Lazalde]]></surname>
<given-names><![CDATA[J. René]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Bolaños-González]]></surname>
<given-names><![CDATA[Martín]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Colegio de Postgraduados Campus Montecillo ]]></institution>
<addr-line><![CDATA[ Estado de México]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>09</month>
<year>2013</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>09</month>
<year>2013</year>
</pub-date>
<volume>31</volume>
<numero>3</numero>
<fpage>181</fpage>
<lpage>192</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S0187-57792013000400181&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S0187-57792013000400181&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S0187-57792013000400181&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen: Los modelos semi-empíricos lineales, también conocidos como modelos lineales basados en kernels, han sido utilizados con relativo éxito en la derivación de parámetros biofísicos de la vegetación a partir de imágenes satelitales. Su construcción se basa en hipótesis difíciles de corroborar y su calibración demanda suponer condiciones de homogeneidad en el sistema suelo-vegetación-atmósfera. Un modelo de la BRDF libre de estas limitaciones es evaluado en este estudio simulando el proceso de dispersión de la radiación solar según diferentes configuraciones de cobertura terrestre. Los datos fueron generados mediante la implementación de cuatro modelos lineales basados en kernels. Se evaluó el ajuste del modelo en cada escenario simulado a través de regresión lineal simple, obteniéndose valores del coeficiente de determinación superiores a 0.98. Los resultados sugieren que es posible utilizar el modelo evaluado en aplicaciones donde actualmente se emplean modelos semi-empíricos lineales.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract: Linear semi-empirical models, also known as linear kernel-driven models, have been used with some success to extract biophysical parameters of the vegetation from satellite imagery. They are based on assumptions difficult to corroborate and their calibration requires assuming that conditions of the soil-vegetation-atmosphere system are homogeneous. A BRDF model without this constraint is evaluated in this study by simulating the scattering process of incoming solar radiation according to different land cover configurations. Data were generated through the implementation of four linear kernel-driven models. The response of the model proposed for each scenario was assessed by means of a single linear regression, obtaining determination coefficient values above 0.98. Our results suggest that is possible to use the model evaluated on those applications where linear semi- empirical models are currently used.]]></p></abstract>
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<kwd lng="es"><![CDATA[geometría sol-sensor]]></kwd>
<kwd lng="es"><![CDATA[imágenes satelitales]]></kwd>
<kwd lng="es"><![CDATA[kernels]]></kwd>
<kwd lng="en"><![CDATA[sun-sensor geometry]]></kwd>
<kwd lng="en"><![CDATA[satellite imagery]]></kwd>
<kwd lng="en"><![CDATA[kernels]]></kwd>
</kwd-group>
</article-meta>
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