<?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>S0188-46112016000200028</article-id>
<article-id pub-id-type="doi">10.14350/rig.47372</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[LiDAR DTM: artifacts, and correction for river altitudes]]></article-title>
<article-title xml:lang="es"><![CDATA[Artefactos y correcciones a los Modelos Digitales de Terreno provenientes del LiDAR]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Parrot]]></surname>
<given-names><![CDATA[Jean-François]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Ramírez Núñez]]></surname>
<given-names><![CDATA[Carolina]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Nacional Autónoma de México Instituto de Geografía Laboratorio de Análisis Geoespacial (LAGE)]]></institution>
<addr-line><![CDATA[México D. F.]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>08</month>
<year>2016</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>08</month>
<year>2016</year>
</pub-date>
<numero>90</numero>
<fpage>28</fpage>
<lpage>39</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S0188-46112016000200028&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S0188-46112016000200028&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S0188-46112016000200028&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract: LiDAR data provide high-resolution Digital Elevation Models (DEMs), but some artifacts affect their accuracy and precision. This includes the DEMs generated by the Mexican National Institute of Statistics and Geography (Instituto Nacional de Estadísitica y Geografía, INEGI), especially LiDAR Digital Terrain Models (DTMs) related to the bare earth surface. These artifacts correspond to triangular facets observed in different small and scattered areas, as well as on the surface of the rivers. When dense gallery forests are present, river surfaces have a high roughness also associated with multiple triangular facets. The treatments developed in this research mitigate and/or eliminate these drawbacks and improve the LiDAR DTMs. Calculations based on the elevation Root Mean Square Roughness and the elevation Root Mean Square Error confirm that the method presented here allows DTM products to be improved in order to realize accurate simulations and precise measurements.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen: Los datos LiDAR permiten generar Modelos Digitales de Elevación (MDE) de alta resolución, sin embargo, algunos artefactos resultantes del método de interpolación utilizado afectan su exactitud y precisión. Esta observación concierne, entre otros, a los MDE generados por el Instituto Nacional de Estadística y Geografía (INEGI), especialmente los Modelos Digitales de Terreno (MDT), que se relacionan con la superficie terrestre. Estos artefactos corresponden a facetas triangulares en elevaciones, meandros, y superficies de los ríos. Los tratamientos desarrollados en esta investigación disminuyen y/o eliminan dichos artefactos mejorando los MDT. Cálculos basados en el Error Cuadrático Medio de la Rugosidad y el Error Cuadrático Medio de la elevación muestran que el método presentado en este trabajo mejora la precisión de los productos digitales, lo que permite realizar simulaciones eficaces y mediciones precisas.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[LiDAR Digital Terrain Model]]></kwd>
<kwd lng="en"><![CDATA[DEM artifacts]]></kwd>
<kwd lng="en"><![CDATA[accuracy]]></kwd>
<kwd lng="en"><![CDATA[precision and validation]]></kwd>
<kwd lng="es"><![CDATA[Modelos Digitales de Terreno lídar]]></kwd>
<kwd lng="es"><![CDATA[artefactos]]></kwd>
<kwd lng="es"><![CDATA[exactitud]]></kwd>
<kwd lng="es"><![CDATA[precisión y validación]]></kwd>
</kwd-group>
</article-meta>
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