<?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>S2663-39812021000100099</article-id>
<article-id pub-id-type="doi">10.35424/rcarto.i102.821</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Estimación de biomasa aérea y carbono con Teledetección en bosques alto-Andinos de Boyacá, Colombia. Estudio de caso: Santuario de Fauna y Flora Iguaque]]></article-title>
<article-title xml:lang="en"><![CDATA[Aboveground biomass and carbon estimation in the high-Andean forests of Boyacá, Colombia using remote sensing. Case study: Santuario de Fauna y Flora Iguaque]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Perea-Ardila]]></surname>
<given-names><![CDATA[Mauricio Alejandro]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Andrade-Castañeda]]></surname>
<given-names><![CDATA[Hernán J.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Segura-Madrigal]]></surname>
<given-names><![CDATA[Milena A.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad del Tolima Grupo de Investigación Producción Ecoamigable de Cultivos Tropicales &#8220;PROECUT&#8221; ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad del Tolima Grupo de Investigación Producción Ecoamigable de Cultivos Tropicales &#8220;PROECUT&#8221; ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad del Tolima Grupo de Investigación Producción Ecoamigable de Cultivos Tropicales &#8220;PROECUT&#8221; ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Colombia</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>06</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>06</month>
<year>2021</year>
</pub-date>
<numero>102</numero>
<fpage>99</fpage>
<lpage>123</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S2663-39812021000100099&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S2663-39812021000100099&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S2663-39812021000100099&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen La Teledetección es clave para el monitoreo de bosques naturales. En este estudio, se estimó la biomasa aérea (AGB) y el carbono (C) con teledetección en bosques del Santuario de Fauna y Flora Iguaque (SFFI) en Boyacá, Colombia. Se establecieron 23 parcelas temporales de muestreo (PTM) de 250 m2 cada una y se midieron los árboles con diámetro a la altura del pecho (dap) &#8805; 10 cm. La AGB real se estimó con una ecuación alométrica para especies alto-andinas y se multiplicó por 0,5 para estimar el C. Solo nueve PTM cumplieron con criterios de una densidad mínima de 30 árboles por parcela, estas se correlacionaron con tres índices de vegetación: el Índice de Vegetación de Diferencia Normalizada, el Índice de Vegetación Ajustado al Suelo y el Índice de Vegetación Mejorado (NDVI, SAVI y EVI) derivados de dos imágenes Landsat 8 OLI en época seca y lluviosa del 2016. Se desarrolló un modelo para estimar AGB con base en índices de vegetación para construir mapas de carbono. El mejor modelo estuvo basado en el NDVI de la época seca (R2 ajustado = 0,79 y error medio cuadrático = 17, 1 Mg/ha). Los bosques del SFFI almacenaron en promedio 36,6 Mg C/ha en AGB. Asimismo, acumularon 163 Gg CO2e traducidos en emisiones evitadas a la atmósfera por deforestación. Este estudio de caso presenta un primer ejercicio en la estimación de AGB y C con herramientas de Teledetección para el monitoreo de bosques en áreas protegidas de importancia regional y servirá como referente para futuras investigaciones que involucren el monitoreo satelital de bosques naturales de la región.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract Remote sensing is very important for monitoring the natural forests. In this study was estimated the aboveground biomass (AGB) and carbon (C) with remote sensing in the Santuario de Fauna y Flora Iguaque (SFFI) in Boyacá, Colombia. A total of 23 temporal sampling plots (TSP) of 250 m2 each were installed and all trees with diameter at breast height (dbh) &#8805; 10 cm were measured. The real AGB was estimated using an allometric equations for species from high-Andean forests and was multiplied for 0,5 to estimate C. Only nine TSP fulfilled the criterion of a minimal tree density of 30 trees per plot, these were correlated with three vegetation indexes, Normalized Difference Vegetation Index, Soil Adjusted Vegetation Index and Enhanced Vegetation Index (NDVI, SAVI and EVI) derived from two Landsat 8 images from dry and rainy season in 2016. A model to estimate AGB based on a vegetation index was developed in order to build carbon maps. The best model was based on NDVI in the dry season (adjusted R2 = 0.79 and root of mean square error of 17.1 Mg/ha). The forests in the SFFI stored a mean of 36.6 Mg C/ha in AGB. Also, was accumulated 163 Gg CO2e in the forests the SFFI that correspond emissions evited at the atmosphere. This case study was presented as the first exercise for estimated AGB and C with remote sensing tools for forest monitoring in protected areas of environmental importance and will serve as a reference for future investigations for the satellite monitoring of the region&#8217;s natural forests.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[ecosistemas forestales]]></kwd>
<kwd lng="es"><![CDATA[monitoreo]]></kwd>
<kwd lng="es"><![CDATA[imágenes de satélite]]></kwd>
<kwd lng="es"><![CDATA[índices de vegetación]]></kwd>
<kwd lng="es"><![CDATA[Landsat 8]]></kwd>
<kwd lng="en"><![CDATA[Forest ecosystem]]></kwd>
<kwd lng="en"><![CDATA[monitoring]]></kwd>
<kwd lng="en"><![CDATA[satellite images]]></kwd>
<kwd lng="en"><![CDATA[vegetation in-dexes]]></kwd>
<kwd lng="en"><![CDATA[Landsat 8]]></kwd>
</kwd-group>
</article-meta>
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