<?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>2663-3981</journal-id>
<journal-title><![CDATA[Revista cartográfica]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. cartogr.]]></abbrev-journal-title>
<issn>2663-3981</issn>
<publisher>
<publisher-name><![CDATA[Instituto Panamericano de Geografía e Historia]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2663-39812023000100173</article-id>
<article-id pub-id-type="doi">10.35424/rcarto.i106.3374</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Vidal Solórzano Villegas, J. y Alejandro Perilla Suárez, G. (2022), Cómo usar Google Earth Engine y no fallar en el intento. Morelia, Editorial del Centro de Investigaciones en Geografía Ambiental (CIGA), Universidad Nacional Autónoma de México (UNAM) e Instituto de Investigación de Recursos Biológicos Alexander Von Humboldt, 192 pp. ISBNs 978-607-30-6696-9 y 978-958-5183-55-1]]></article-title>
</title-group>
<contrib-group>
<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[,Universidad Nacional Autónoma de México (UNAM) Centro de Investigaciones en Geografía Ambiental Laboratorio de Análisis Espacial]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>06</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>06</month>
<year>2023</year>
</pub-date>
<numero>106</numero>
<fpage>173</fpage>
<lpage>174</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S2663-39812023000100173&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S2663-39812023000100173&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S2663-39812023000100173&amp;lng=en&amp;nrm=iso"></self-uri></article-meta>
</front><back>
<ref-list>
<ref id="B1">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Amani]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Ghorbanian]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Ahmadi]]></surname>
<given-names><![CDATA[S.A.]]></given-names>
</name>
<name>
<surname><![CDATA[Kakooei]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Moghimi]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Mirmazloumi]]></surname>
<given-names><![CDATA[S.M.]]></given-names>
</name>
<name>
<surname><![CDATA[Alizadeh Moghaddam]]></surname>
<given-names><![CDATA[S.H.]]></given-names>
</name>
<name>
<surname><![CDATA[Mahdavi]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Ghahremanloo]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Parsian]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Wu]]></surname>
<given-names><![CDATA[Q.]]></given-names>
</name>
<name>
<surname><![CDATA[Brisco]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Google Earth Engine Cloud Computing Platform for Remote Sensing Big Data Applications: A Comprehensive Review]]></article-title>
<source><![CDATA[IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing]]></source>
<year>2020</year>
<numero>13</numero>
<issue>13</issue>
<page-range>5326-50</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
