<?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>0188-4611</journal-id>
<journal-title><![CDATA[Investigaciones geográficas]]></journal-title>
<abbrev-journal-title><![CDATA[Invest. Geog]]></abbrev-journal-title>
<issn>0188-4611</issn>
<publisher>
<publisher-name><![CDATA[Universidad Nacional Autónoma de México, Instituto de Geografía]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0188-46112020000100111</article-id>
<article-id pub-id-type="doi">10.14350/rig.59929</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Google Earth Engine (GEE): una poderosa herramienta que vincula el potencial de los datos masivos y la eficacia del procesamiento en la nube]]></article-title>
<article-title xml:lang="en"><![CDATA[Google Earth Engine - GEE: A Powerful Tool Linking the Potential of Massive Data and the Efficiency of Cloud Processing]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Perilla]]></surname>
<given-names><![CDATA[Gabriel Alejandro]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Mas]]></surname>
<given-names><![CDATA[Jean-François]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Pontificia Universidad Javeriana Facultad de Estudios Ambientales y Rurales ]]></institution>
<addr-line><![CDATA[Bogotá ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Nacional Autónoma de México Centro de Investigaciones en Geografía Ambiental Laboratorio de Análisis Espacial]]></institution>
<addr-line><![CDATA[Morelia Michoacán]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>00</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>00</month>
<year>2020</year>
</pub-date>
<numero>101</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S0188-46112020000100111&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S0188-46112020000100111&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S0188-46112020000100111&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen Desde hace décadas se están produciendo imágenes satelitales para el mundo entero. Sin embargo, ha habido un rezago tecnológico que ha impedido poder analizar la extensa cantidad de información satelital disponible. Hasta fechas recientes la mayoría de los estudios se enfocaban en regiones relativamente reducidas y periodos cortos. No obstante, el potencial de estas imágenes permite afrontar problemas a escalas globales y abarcar periodos largos. Google Earth Engine es una herramienta innovadora, que permite realizar análisis geoespaciales usando procesamiento y acervos de datos en la nube. De este modo, se convierte en una opción interesante para solucionar el rezago tecnológico, y así poder examinar las grandes bases de imágenes satelitales.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract Earth Observation Satellites have been acquiring images across the entire world for decades. However, a technological lag has prevented analyzing the vast amount of satellite data currently available. Until recently, most studies focused on relatively small regions and short periods of time, but the potential of this imagery allows addressing issues at global scale and spanning long periods of time. Google Earth Engine is an innovative tool that facilitates geospatial analyses using cloud processing and data archives. It thus provides an interesting alternative to solve the technological lag, and hence be able to analyze the large files of satellite data currently available.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Google Earth Engine]]></kwd>
<kwd lng="es"><![CDATA[imágenes de satélite]]></kwd>
<kwd lng="es"><![CDATA[rezago tecnológico]]></kwd>
<kwd lng="es"><![CDATA[análisis geoespacial]]></kwd>
<kwd lng="en"><![CDATA[Google Earth Engine]]></kwd>
<kwd lng="en"><![CDATA[satellite images]]></kwd>
<kwd lng="en"><![CDATA[technological lag]]></kwd>
<kwd lng="en"><![CDATA[geospatial analyses]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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