<?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>2215-2563</journal-id>
<journal-title><![CDATA[Revista Geográfica de América Central]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. Geog. Amer. Central]]></abbrev-journal-title>
<issn>2215-2563</issn>
<publisher>
<publisher-name><![CDATA[Universidad Nacional]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2215-25632020000200017</article-id>
<article-id pub-id-type="doi">10.15359/rgac.65-2.1</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Estimación de la temperatura superficial en imágenes históricas Landsat 5 mediante corrección atmosférica monocanal en el térmico para la cuenca del río Tempisque-Bebedero (Costa Rica)]]></article-title>
<article-title xml:lang="en"><![CDATA[Estimation of the surface temperature in Landsat 5 historical images by means of single-channel atmospheric correction in the thermal for the Tempisque-Bebedero river basin (Costa Rica)]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Martínez-Barbáchano]]></surname>
<given-names><![CDATA[Rubén]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad de Costa Rica  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Costa Rica</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2020</year>
</pub-date>
<numero>65</numero>
<fpage>17</fpage>
<lpage>32</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_arttext&amp;pid=S2215-25632020000200017&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_abstract&amp;pid=S2215-25632020000200017&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_pdf&amp;pid=S2215-25632020000200017&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen: En las últimas décadas la utilización de imágenes satelitales se ha incrementado al punto de constituir una herramienta fundamental en el monitoreo de procesos ambientales y de cambio global. En tal sentido, la importancia histórica de la familia de satélites Landsat marca un hito en 1985 con la introducción del sensor Tematic Mapper, que ofrecía la posibilidad a los usuarios de adquirir información de una base histórica de más de 25 años de imágenes térmicas a 120 metros de resolución espacial. El presente trabajo se presenta como una metodología de obtención de temperatura superficial a partir de una serie temporal de imágenes Landsat-5 TM adquiridas en el año 2001 sobre el Pacífico norte de Costa Rica. Se presentan los distintos algoritmos que pueden utilizarse para la estimación de temperatura superficial a partir de datos Landsat con el método monocanal por la función inversa de Planck. Aspectos como la transmisividad media de la atmósfera, la radiancia ascendente y descendente, o la emisividad de la superficie terrestre fueron tomados en cuenta, previamente al cálculo de la temperatura de brillo de las imágenes.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract: In recent decades, the use of satellite imagery has increased to the point of being a fundamental tool in the monitoring of environmental processes and global change. In this sense, the historical importance of the Landsat family of satellites marks a milestone in 1985 with the introduction of the Tematic Mapper sensor, which offered users the possibility of acquiring information from an over 25-year historical database of thermal imagery at 120 meters of spatial resolution. This paper is presented as a methodology for obtaining surface temperature data from a time series of Landsat-5 TM images acquired in 2001 on the North Pacific Region of Costa Rica. The different algorithms that can be used for the estimation of surface temperature from Landsat data via the single-channel method by way of the inverse Planck function are presented. Prior to the calculation of the brightness temperature of the images, aspects such as average atmospheric transmissivity, ascending and descending radiance or earth´s surface emissivity were taken into account.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Teledetección]]></kwd>
<kwd lng="es"><![CDATA[infrarrojo térmico]]></kwd>
<kwd lng="es"><![CDATA[emisividad]]></kwd>
<kwd lng="es"><![CDATA[temperatura superficial]]></kwd>
<kwd lng="en"><![CDATA[Remote sensing]]></kwd>
<kwd lng="en"><![CDATA[Thermal infrared]]></kwd>
<kwd lng="en"><![CDATA[Emissivity]]></kwd>
<kwd lng="en"><![CDATA[Surface temperature]]></kwd>
</kwd-group>
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