<?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>S0187-57792018000300211</article-id>
<article-id pub-id-type="doi">10.28940/terra.v36i3.229</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Correcciones atmosféricas relativas de imágenes de satélite: patrones invariantes múltiples e inversiones]]></article-title>
<article-title xml:lang="en"><![CDATA[Relative atmospheric corrections of satellite images: multiple invariant patterns and inversions]]></article-title>
</title-group>
<contrib-group>
<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-group>
<aff id="Af1">
<institution><![CDATA[,Colegio de Postgraduados  ]]></institution>
<addr-line><![CDATA[Montecillo Estado de México]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>09</month>
<year>2018</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>09</month>
<year>2018</year>
</pub-date>
<volume>36</volume>
<numero>3</numero>
<fpage>211</fpage>
<lpage>220</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S0187-57792018000300211&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S0187-57792018000300211&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S0187-57792018000300211&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen: La corrección de los efectos atmosféricos en imágenes de satélite es una tarea crucial para el entendimiento de los patrones espacio-temporales de las reflectancias e índices de vegetación en el análisis de la dinámica de la vegetación. En el presente trabajo se analizó el problema de inversión de modelos de transferencia de radiación de la atmósfera mediante el uso de los patrones invariantes de las líneas del suelo y de la vegetación densa, bajo un esquema de restricciones múltiples o definición de relaciones a cumplir. Las inversiones de radiación se invirtieron al minimizar una función objetivo o de mérito asociada a las restricciones disponibles y a las relaciones funcionales de compactación (análisis multivariado) de simulaciones de radiación. Las líneas del suelo resultaron mejores con las dos restricciones disponibles, que para el uso de una sola restricción. En el caso general de usar todas las restricciones disponibles para las líneas del suelo y la vegetación densa, se lograron precisiones de clasificación correcta del binomio atmósfera-aerosol mayores al 80%, sin conocimiento previo de esta información. En conclusión, cuando se usan las restricciones de las líneas del suelo y de la vegetación densa, las estimaciones mejoran para las constantes multiplicativas y las soluciones óptimas de los esquemas de inversión se ubican dentro de los mejores cinco valores que minimizan las funciones objetivo propuestas.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Summary: The correction of atmospheric effects in satellite images is a crucial task for the understanding of spatial-temporal patterns of reflectances and vegetation indices in the analysis of vegetation dynamics. In this paper the problem of inversion of radiative models of the atmosphere was analyzed by the use of invariant line patterns of soil and dense vegetation, under a scheme of multiple constraints. Radiative inversions were achieved by minimizing a merit function associated with the available restrictions and functional relationships compaction (multivariate analysis) of radiative simulations. Soil lines were better with the two constraints available in regard to the use of a single constraint. In the general case of using all available constraints for soil lines and dense vegetation, correct classification accuracies of the pair aerosol-atmosphere were greater than 80%, without prior knowledge of this information. In conclusion, when the restrictions on soil lines and dense vegetation are used to improve estimates of the multiplicative constant and optimal solutions inversion schemes are among the top five values that minimize the proposed objective functions.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[invarianza]]></kwd>
<kwd lng="es"><![CDATA[líneas del suelo]]></kwd>
<kwd lng="es"><![CDATA[línea de la vegetación densa]]></kwd>
<kwd lng="es"><![CDATA[modelos atmosféricos y de aerosoles]]></kwd>
<kwd lng="en"><![CDATA[invariance]]></kwd>
<kwd lng="en"><![CDATA[soil lines]]></kwd>
<kwd lng="en"><![CDATA[dense vegetation lines]]></kwd>
<kwd lng="en"><![CDATA[atmospheric and aerosol models]]></kwd>
</kwd-group>
</article-meta>
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