<?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>S0188-46112025000200109</article-id>
<article-id pub-id-type="doi">10.14350/rig.61007</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Implementación de una infraestructura de procesamiento satelital con software libre en el Laboratorio Nacional de Observación de la Tierra, México]]></article-title>
<article-title xml:lang="en"><![CDATA[Implementation of a satellite processing infrastructure with free software at the National Earth Observation Laboratory, Mexico]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Aguilar Sierra]]></surname>
<given-names><![CDATA[Alejandro]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Jiménez Escudero]]></surname>
<given-names><![CDATA[Víctor Manuel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Nacional Autónoma de México Laboratorio Nacional de Observación de la Tierra ]]></institution>
<addr-line><![CDATA[Ciudad de México ]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Nacional Autónoma de México Laboratorio Nacional de Observación de la Tierra ]]></institution>
<addr-line><![CDATA[Ciudad de México ]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>00</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>00</month>
<year>2025</year>
</pub-date>
<numero>117</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S0188-46112025000200109&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S0188-46112025000200109&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S0188-46112025000200109&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen El Laboratorio Nacional de Observación de la Tierra (LANOT) ha transitado, durante los últimos años, hacia un sistema de procesamiento y distribución de datos satelitales basado en software libre, con el objetivo de eliminar la dependencia de plataformas comerciales, mejorar la precisión geoespacial y asegurar la sostenibilidad tecnológica en el acceso y manejo de imágenes satelitales. La metodología se basó en la adopción de software libre cuidadosamente seleccionado, respaldado por instituciones de reconocido prestigio y con amplia validación operativa. Se emplearon herramientas como GDAL, CSPP, IPOPP y AAPP, que permiten el procesamiento integral de datos provenientes de satélites geoestacionarios (GOES-East) y de órbita polar (NOAA-20, Suomi-NPP, Terra, Aqua, entre otros), generando productos en formatos interoperables como NetCDF, HDF5 y GeoTIFF. Entre los principales resultados destaca la generación automatizada de productos satelitales de nivel 1 y 2, imágenes RGB, composiciones nocturnas, índices de vegetación, temperatura superficial, detección de aerosoles, e incendios activos. Esta experiencia, aquí descrita, permite concluir que el uso de software libre constituye una alternativa robusta y escalable para centros de observación terrestre, alineada con principios de autonomía tecnológica, colaboración interinstitucional y ciencia abierta.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract Over the last few years, the National Earth Observation Laboratory (LANOT) has transitioned to a satellite data processing and distribution system based on free software, with the aim of eliminating dependence on commercial platforms, improving geospatial accuracy, and ensuring technological sustainability in the access and management of satellite images. The methodology was based on the adoption of carefully selected free software, backed by renowned institutions and with extensive operational validation. Tools such as GDAL, CSPP, IPOPP, and AAPP were used, which allow for the comprehensive processing of data from geostationary satellites (GOES-East) and polar orbit satellites (NOAA-20, Suomi-NPP, Terra, Aqua, among others), generating products in interoperable formats such as NetCDF, HDF5, and GeoTIFF. Among the main results are the automated generation of level 1 and 2 satellite products, RGB images, nighttime compositions, vegetation indices, surface temperature, aerosol detection, and active fires. This experience, described here, leads to the conclusion that the use of free software is a robust and scalable alternative for Earth observation centers, aligned with principles of technological autonomy, inter-institutional collaboration, and open science.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[productos ambientales]]></kwd>
<kwd lng="es"><![CDATA[código abierto]]></kwd>
<kwd lng="es"><![CDATA[percepción remota]]></kwd>
<kwd lng="es"><![CDATA[satélite geoestacionario]]></kwd>
<kwd lng="es"><![CDATA[satélites polares]]></kwd>
<kwd lng="es"><![CDATA[datos geoespaciales]]></kwd>
<kwd lng="en"><![CDATA[environmental products]]></kwd>
<kwd lng="en"><![CDATA[open source]]></kwd>
<kwd lng="en"><![CDATA[remote sensing]]></kwd>
<kwd lng="en"><![CDATA[geostationary satellite]]></kwd>
<kwd lng="en"><![CDATA[polar satellites]]></kwd>
<kwd lng="en"><![CDATA[geospatial data]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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