<?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>S2663-39812019000100145</article-id>
<article-id pub-id-type="doi">10.35424/rcarto.i98.145</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Comparison of maximum likelihood estimators and regression models for burn severity mapping in Mediterranean forests using Landsat TM and ETM+ data]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Ariza]]></surname>
<given-names><![CDATA[Alexander]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Salas Rey]]></surname>
<given-names><![CDATA[Javier]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Merino de Miguel]]></surname>
<given-names><![CDATA[Silvia]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad de Alcalá de Henares  ]]></institution>
<addr-line><![CDATA[Madrid ]]></addr-line>
<country>Spain</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad de Alcalá de Henares  ]]></institution>
<addr-line><![CDATA[Madrid ]]></addr-line>
<country>Spain</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad Politécnica de Madrid  ]]></institution>
<addr-line><![CDATA[Madrid ]]></addr-line>
<country>Spain</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>06</month>
<year>2019</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>06</month>
<year>2019</year>
</pub-date>
<numero>98</numero>
<fpage>145</fpage>
<lpage>177</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S2663-39812019000100145&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S2663-39812019000100145&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S2663-39812019000100145&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract During the last decade, there has been a growing number of published works about burn severity of forest fires using remote sensing data for both natural resources management and research purposes. Many of these studies quantify changes between pre- and post-fire vegetation conditions from satellite images using spectral indices; however, there is an active discussion about which of the most commonly used indices is more suitable to estimate burn severity, and which methodology is the best for the estimation of severity levels. This study proposes and evaluates a Maximum Likelihood Estimation (MLE) Automatic Learning Algorithm for mapping burn severity as an alternative to regression models. We developed both these methods using GeoCBI (Geometrically structured Composite Burn Index) field data, and six different spectral indices (derived from Landsat TM and ETM+ images) for two forest fires in central Spain. We compared the capability to discriminate burn severity of these indices through a spectral separability index (M), and evaluated their concordance with GeoCBI-based field data using the coefficient of determination (R2). Afterwards, the selected index was used for the regression and MLE models for estimating burn severity levels (unburned, low, moderate, and high), and validated with field data. The RBR index showed a better spectral separability (average between two fires M= 2.00) than dNBR (M= 1.82) and RdNBR (M= 1.80). Additionally, GeoCBI had a higher adjustment with RBR (R2= 0.73) than with RdNBR (R2= 0.72) and dNBR (R2= 0.71). Finally, MLE showed the highest overall classification accuracy (Kappa= 0.65), and the best accuracy for each individual class.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen Durante la última década, ha habido un número creciente de trabajos publicados sobre la gravedad de los incendios forestales utilizando datos de teledetección para fines de gestión de recursos naturales y de investigación. Muchos de estos estudios cuantifican los cambios entre las condiciones de vegetación antes y después del incendio a partir de imágenes satelitales utilizando índices espectrales; sin embargo, hay una discusión activa sobre cuál de los índices más comúnmente usados es más adecuado para estimar la severidad de la quemadura, y qué metodología es la mejor para la estimación de los niveles de severidad. Este estudio propone y evalúa un algoritmo de aprendizaje automático de Estimación de Máxima Verosimilitud (EMV) para mapear la severidad de las quemaduras como una alternativa a los modelos de regresión. Desarrollamos ambos métodos usando datos de campo de GeoCBI (Índice Compuesto de Quema Geométricamente Estructurado, siglas en inglés) y seis índices espectrales diferentes (derivados de imágenes Landsat TM y ETM+) para dos incendios forestales en el centro de España. Comparamos la capacidad para discriminar la severidad de la quemadura de estos índices a través de un índice de separabilidad espectral (M), y evaluamos su concordancia con datos de campo basados en GeoCBI usando el coeficiente de determinación (R2). Posteriormente, el índice seleccionado se utilizó para los modelos de regresión y la EMV para estimar los niveles de severidad de quema (sin quemar, bajo, moderado y alto), y se validó con datos de campo. El índice RBR mostró una mejor separabilidad espectral (promedio entre dos fuegos M= 2.00) que el dNBR (M= 1.82) y RdNBR (M= 1.80). Además, GeoCBI tuvo un mayor ajuste con RBR (R2= 0.73) que con RdNBR (R2= 0.72) y dNBR (R2= 0.71). Finalmente, la EMV mostró la mayor precisión de clasificación general (Kappa= 0,65) y la mejor precisión para cada clase individual.]]></p></abstract>
<abstract abstract-type="short" xml:lang="pt"><p><![CDATA[Resumo Durante a última década, surgiu um número crescente de trabalhos publicados sobre a gravidade dos incêndios florestais utilizando dados de sensoriamento remoto para fins de gestão de recursos naturais e de investigação. Muitos destes estudos quantificam as mudanças entre as condições de vegetação antes e depois do incêndio a partir de imagens de satélites utilizando índices espectrais; entretanto, há uma discussão ativa sobre qual os índices mais comumente usados é mais adequado para estimar a severidade do incêndio, e que metodologia é a melhor para a estimação dos níveis de severidade. Este estudo propõe e avalia um algoritmo de aprendizagem automático de Estimação de Máxima Verosimilitude (EMV) para mapear a severidade dos incêndios como uma alternativa aos modelos de regressão. Desenvolvemos ambos os métodos usando dados de campo de GeoCBI (Índice Composto de Queima Geometricamente Estruturado, siglas em inglês) e seis índices espectrais diferentes (derivados de imagens Landsat TM e ETM+) para dois incêndios florestais no centro da Espanha. Comparamos a capacidade para discriminar a severidade do incêndio destes índices através de um índice de separabilidade espectral (M), e avaliamos sua concordância com dados de campo baseados no GeoCBI usando o coeficiente de determinação (R2). Posteriormente, o índice selecionado foi utilizado para os modelos de regressão e a EMV para estimar os níveis de severidade de queima (sem queima, baixo, moderado e alto), e se validou com dados de campo. O índice RBR mostrou uma melhor separabilidade espectral (média entre dois incêndios M= 2.00) que o dNBR (M= 1.82) e RdNBR (M= 1.80). Além disso, GeoCBI teve um maior ajuste com RBR (R2= 0.73) que com RdNBR (R2= 0.72) e dNBR (R2= 0.71). Finalmente, a EMV mostrou a maior precisão de classificação geral (Kappa= 0,65) e a melhor precisão para cada classe individual.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Regression models]]></kwd>
<kwd lng="en"><![CDATA[Maximum likelihood]]></kwd>
<kwd lng="en"><![CDATA[GeoCBI]]></kwd>
<kwd lng="en"><![CDATA[dNBR]]></kwd>
<kwd lng="en"><![CDATA[RdNBR]]></kwd>
<kwd lng="en"><![CDATA[RBR]]></kwd>
<kwd lng="es"><![CDATA[Modelos de regresión]]></kwd>
<kwd lng="es"><![CDATA[RBR]]></kwd>
<kwd lng="es"><![CDATA[Máxima Verosimilitud]]></kwd>
<kwd lng="es"><![CDATA[GeoCBI]]></kwd>
<kwd lng="es"><![CDATA[dNBR]]></kwd>
<kwd lng="es"><![CDATA[RdNBR]]></kwd>
<kwd lng="pt"><![CDATA[Modelos de regressão]]></kwd>
<kwd lng="pt"><![CDATA[RdNBR]]></kwd>
<kwd lng="pt"><![CDATA[Máxima Verosimilitude]]></kwd>
<kwd lng="pt"><![CDATA[GeoCBI]]></kwd>
<kwd lng="pt"><![CDATA[dNBR]]></kwd>
<kwd lng="pt"><![CDATA[RBR]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ahmad]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Quegan]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<source><![CDATA[Analysis of Maximum Likelihood classification technique on Landsat 5 TM satellite data of tropical land covers]]></source>
<year>2013</year>
<conf-name><![CDATA[ 2012 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2012]]></conf-name>
<conf-loc> </conf-loc>
<page-range>280-5</page-range></nlm-citation>
</ref>
<ref id="B2">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Amraoui]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Liberato]]></surname>
<given-names><![CDATA[M.L.R.]]></given-names>
</name>
<name>
<surname><![CDATA[Calado]]></surname>
<given-names><![CDATA[T.J.]]></given-names>
</name>
<name>
<surname><![CDATA[Dacamara]]></surname>
<given-names><![CDATA[C.C.]]></given-names>
</name>
<name>
<surname><![CDATA[Coelho]]></surname>
<given-names><![CDATA[L.P.]]></given-names>
</name>
<name>
<surname><![CDATA[Trigo]]></surname>
<given-names><![CDATA[R.M.]]></given-names>
</name>
<name>
<surname><![CDATA[Gouveia]]></surname>
<given-names><![CDATA[C.M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Fire activity over Mediterranean Europe based on information from Meteosat-8]]></article-title>
<source><![CDATA[For. Ecol. Manage]]></source>
<year>2013</year>
<numero>294</numero>
<issue>294</issue>
<page-range>62-75</page-range></nlm-citation>
</ref>
<ref id="B3">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ariza]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<source><![CDATA[Análisis de los cambios en la estructura del paisaje por incendios forestales mediante teledetección]]></source>
<year>2017</year>
<publisher-name><![CDATA[Alcala de Henares]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B4">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Arnett]]></surname>
<given-names><![CDATA[J.T.T.R.]]></given-names>
</name>
<name>
<surname><![CDATA[Coops]]></surname>
<given-names><![CDATA[N.C.]]></given-names>
</name>
<name>
<surname><![CDATA[Daniels]]></surname>
<given-names><![CDATA[L.D.]]></given-names>
</name>
<name>
<surname><![CDATA[Falls]]></surname>
<given-names><![CDATA[R.W.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Detecting forest damage after a low-severity fire using remote sensing at multiple scales]]></article-title>
<source><![CDATA[Int. J. Appl. Earth Obs. Geoinf]]></source>
<year>2015</year>
<numero>35</numero>
<issue>35</issue>
<page-range>239-46</page-range></nlm-citation>
</ref>
<ref id="B5">
<nlm-citation citation-type="">
<collab>CAM</collab>
<source><![CDATA[Repoblación de la superficie afectada por el incendio del 26 de junio de 2003 en los Montes del C.U.P., no. 48, no. 50 y no. 54 de la Comarca X-San Martín de Valdeiglesias]]></source>
<year>2005</year>
<publisher-loc><![CDATA[Madrid ]]></publisher-loc>
</nlm-citation>
</ref>
<ref id="B6">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Cansler]]></surname>
<given-names><![CDATA[C.A.]]></given-names>
</name>
<name>
<surname><![CDATA[McKenzie]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[How robust are burn severity indices when applied in a new region? Evaluation of alternate field-based and remote-sensing methods]]></article-title>
<source><![CDATA[Remote Sens.]]></source>
<year>2012</year>
<numero>4</numero>
<issue>4</issue>
<page-range>456-83</page-range></nlm-citation>
</ref>
<ref id="B7">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Chafer]]></surname>
<given-names><![CDATA[C.J.]]></given-names>
</name>
<name>
<surname><![CDATA[Noonan]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Macnaught]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[The post-fire measurement of fire severity and intensity in the Christmas 2001 Sydney wildfires]]></article-title>
<source><![CDATA[Int. J. Wildl. Fire]]></source>
<year>2004</year>
<numero>13</numero>
<issue>13</issue>
<page-range>227-40</page-range></nlm-citation>
</ref>
<ref id="B8">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Chuvieco]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
</person-group>
<source><![CDATA[Earth observation of wildland fires in mediterranean ecosystems]]></source>
<year>2009</year>
</nlm-citation>
</ref>
<ref id="B9">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Cocke]]></surname>
<given-names><![CDATA[A.E.]]></given-names>
</name>
<name>
<surname><![CDATA[Fulé]]></surname>
<given-names><![CDATA[P.Z.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Crouse, J. E. Comparison of burn severity assessments using Differenced Normalized Burn Ratio and ground data]]></article-title>
<source><![CDATA[Int. J. Wildl. Fire]]></source>
<year>2005</year>
<numero>14</numero>
<issue>14</issue>
<page-range>189</page-range></nlm-citation>
</ref>
<ref id="B10">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Collins]]></surname>
<given-names><![CDATA[R.D.]]></given-names>
</name>
<name>
<surname><![CDATA[de Neufville]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Claro]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Oliveira]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Pacheco]]></surname>
<given-names><![CDATA[A.P.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Forest fire management to avoid unintended consequences: A case study of Portugal using system dynamics]]></article-title>
<source><![CDATA[J. Environ]]></source>
<year>2013</year>
<numero>130</numero>
<issue>130</issue>
<page-range>1-9</page-range></nlm-citation>
</ref>
<ref id="B11">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[De Santis]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Chuvieco]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Burn severity estimation from remotely sensed data: Performance of simulation versus empirical models]]></article-title>
<source><![CDATA[Remote Sens. Environ]]></source>
<year>2007</year>
<numero>108</numero>
<issue>108</issue>
<page-range>422-35</page-range></nlm-citation>
</ref>
<ref id="B12">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[De Santis]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[GeoCBI: A modified version of the Composite Burn Index for the initial assessment of the short-term burn severity from remotely sensed data]]></article-title>
<source><![CDATA[Remote Sens. Environ]]></source>
<year>2009</year>
<numero>113</numero>
<issue>113</issue>
<page-range>554-62</page-range></nlm-citation>
</ref>
<ref id="B13">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Dean]]></surname>
<given-names><![CDATA[A.M.]]></given-names>
</name>
<name>
<surname><![CDATA[Smith]]></surname>
<given-names><![CDATA[G.M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[An evaluation of per-parcel land cover mapping using maximum likelihood class probabilities]]></article-title>
<source><![CDATA[Int. J. Remote Sens.]]></source>
<year>2003</year>
<numero>24</numero>
<issue>24</issue>
<page-range>2905-20</page-range></nlm-citation>
</ref>
<ref id="B14">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Eleazar]]></surname>
<given-names><![CDATA[M.J.]]></given-names>
</name>
<name>
<surname><![CDATA[Enríquez]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Gallar]]></surname>
<given-names><![CDATA[J.J.]]></given-names>
</name>
<name>
<surname><![CDATA[Jemes]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
<name>
<surname><![CDATA[López]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Mateo]]></surname>
<given-names><![CDATA[M.L.]]></given-names>
</name>
<name>
<surname><![CDATA[Muñoz]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Parra]]></surname>
<given-names><![CDATA[P.J.]]></given-names>
</name>
</person-group>
<source><![CDATA[Los incendios forestales en España. Decenio 2001-2010]]></source>
<year>2013</year>
<publisher-loc><![CDATA[Madrid ]]></publisher-loc>
</nlm-citation>
</ref>
<ref id="B15">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Escuin]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Navarro]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Fernández]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Fire severity assessment by using NBR (Normalized Burn Ratio) and NDVI (Normalized Difference Vegetation Index) derived from LANDSAT TM/ETM images]]></article-title>
<source><![CDATA[Int. J. Remote Sens.]]></source>
<year>2008</year>
<numero>29</numero>
<issue>29</issue>
<page-range>1053-73</page-range></nlm-citation>
</ref>
<ref id="B16">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Finco]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Quayle]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Lecker]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Megown]]></surname>
<given-names><![CDATA[K.A.]]></given-names>
</name>
<name>
<surname><![CDATA[Brewer]]></surname>
<given-names><![CDATA[C.K.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Monitoring Trends and Burn Severity (MTBS): Monitoring wildfire activity for the past quarter century using LANDSAT data. Mov. from Status to Trends For]]></article-title>
<source><![CDATA[Invent. Anal. Symp.]]></source>
<year>2012</year>
<page-range>222-8</page-range></nlm-citation>
</ref>
<ref id="B17">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Flood]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Danaher]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Gill]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Gillingham]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[An operational scheme for deriving standardised surface reflectance from landsat TM/ETM+ and SPOT HRG imagery for eastern Australia]]></article-title>
<source><![CDATA[Remote Sensing]]></source>
<year>2013</year>
<volume>5</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>83-109</page-range></nlm-citation>
</ref>
<ref id="B18">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Hantson]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Chuvieco]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Evaluation of different topographic correction methods for landsat imagery]]></article-title>
<source><![CDATA[Int. J. Appl. Earth Obs. Geoinf.]]></source>
<year>2011</year>
<numero>13</numero>
<issue>13</issue>
<page-range>691-700</page-range></nlm-citation>
</ref>
<ref id="B19">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Harris]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Veraverbeke]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Hook]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Evaluating spectral indices for assessing fire severity in chaparral ecosystems (Southern California) using modis/aster (MASTER) airborne simulator data]]></article-title>
<source><![CDATA[Remote Sens.]]></source>
<year>2011</year>
<numero>3</numero>
<issue>3</issue>
<page-range>2403-19</page-range></nlm-citation>
</ref>
<ref id="B20">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Henry]]></surname>
<given-names><![CDATA[M.C.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Comparison of Single and Multi-date Landsat Data for Mapping Wildfire Scars in Ocala National Forest, Florida. Photogramm]]></article-title>
<source><![CDATA[Eng. Remote Sensing]]></source>
<year>2008</year>
<numero>74</numero>
<issue>74</issue>
<page-range>881-91</page-range></nlm-citation>
</ref>
<ref id="B21">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Holden]]></surname>
<given-names><![CDATA[Z.A.]]></given-names>
</name>
<name>
<surname><![CDATA[Morgan]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Smith]]></surname>
<given-names><![CDATA[A.M.S.]]></given-names>
</name>
<name>
<surname><![CDATA[Vierling]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Beyond Landsat: A comparison of four satellite sensors for detecting burn severity in ponderosa pine forests of the Gila Wilderness, NM, USA]]></article-title>
<source><![CDATA[Int. J. Wildl. Fire]]></source>
<year>2010</year>
<numero>19</numero>
<issue>19</issue>
<page-range>449-58</page-range></nlm-citation>
</ref>
<ref id="B22">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Holden]]></surname>
<given-names><![CDATA[Z.A.]]></given-names>
</name>
<name>
<surname><![CDATA[Smith]]></surname>
<given-names><![CDATA[A.M.S.]]></given-names>
</name>
<name>
<surname><![CDATA[Morgan]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Rollins]]></surname>
<given-names><![CDATA[M.G.]]></given-names>
</name>
<name>
<surname><![CDATA[Gessler]]></surname>
<given-names><![CDATA[P.E.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Evaluation of novel thermally enhanced spectral indices for mapping fire perimeters and comparisons with fire atlas data]]></article-title>
<source><![CDATA[Int. J. Remote Sens.]]></source>
<year>2005</year>
<numero>26</numero>
<issue>26</issue>
<page-range>4801-8</page-range></nlm-citation>
</ref>
<ref id="B23">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Hoscilo]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Tansey]]></surname>
<given-names><![CDATA[K.J.]]></given-names>
</name>
<name>
<surname><![CDATA[Page]]></surname>
<given-names><![CDATA[S.E.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Post-fire vegetation response as a proxy to quantify the magnitude of burn severity in tropical peatland]]></article-title>
<source><![CDATA[Int. J. Remote Sens.]]></source>
<year>2013</year>
<numero>34</numero>
<issue>34</issue>
<page-range>412-33</page-range></nlm-citation>
</ref>
<ref id="B24">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ichoku]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Giglio]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Wooster]]></surname>
<given-names><![CDATA[M.J.]]></given-names>
</name>
<name>
<surname><![CDATA[Remer]]></surname>
<given-names><![CDATA[L.A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Global characterization of biomass-burning patterns using satellite measurements of fire radiative energy]]></article-title>
<source><![CDATA[Remote Sens. Environ.]]></source>
<year>2008</year>
<numero>112</numero>
<issue>112</issue>
<page-range>2950-62</page-range></nlm-citation>
</ref>
<ref id="B25">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Keeley]]></surname>
<given-names><![CDATA[J.E.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Fire intensity, fire severity and burn severity: A brief review and suggested usage]]></article-title>
<source><![CDATA[Int. J. Wildl. Fire]]></source>
<year>2009</year>
<numero>18</numero>
<issue>18</issue>
<page-range>116-26</page-range></nlm-citation>
</ref>
<ref id="B26">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kern]]></surname>
<given-names><![CDATA[A.N.]]></given-names>
</name>
<name>
<surname><![CDATA[Addison]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Oommen]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Salazar]]></surname>
<given-names><![CDATA[S.E.]]></given-names>
</name>
<name>
<surname><![CDATA[Coffman]]></surname>
<given-names><![CDATA[R.A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Machine Learning Based Predictive Modeling of Debris Flow Probability Following Wildfire in the Intermountain Western United States]]></article-title>
<source><![CDATA[Math. Geosci.]]></source>
<year>2017</year>
<page-range>1-19</page-range></nlm-citation>
</ref>
<ref id="B27">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Key]]></surname>
<given-names><![CDATA[C.H.]]></given-names>
</name>
<name>
<surname><![CDATA[Benson]]></surname>
<given-names><![CDATA[N.C.]]></given-names>
</name>
</person-group>
<source><![CDATA[Landscape assessment (LA): Sampling and analysis methods]]></source>
<year>2006</year>
</nlm-citation>
</ref>
<ref id="B28">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Key]]></surname>
<given-names><![CDATA[C.H.]]></given-names>
</name>
<name>
<surname><![CDATA[Benson]]></surname>
<given-names><![CDATA[N.C.]]></given-names>
</name>
</person-group>
<source><![CDATA[Post-fire assessment by remote sensing on National Park Service Lands]]></source>
<year>2002</year>
</nlm-citation>
</ref>
<ref id="B29">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Knipling]]></surname>
<given-names><![CDATA[E.B.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Physical and physiological basis for the reflectance of visible and near-infrared radiation from vegetation]]></article-title>
<source><![CDATA[Remote Sens. Environ.]]></source>
<year>1970</year>
<numero>1</numero>
<issue>1</issue>
<page-range>155-9</page-range></nlm-citation>
</ref>
<ref id="B30">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kolden]]></surname>
<given-names><![CDATA[C.A.]]></given-names>
</name>
<name>
<surname><![CDATA[Weisberg]]></surname>
<given-names><![CDATA[P.J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Assessing Accuracy of Manually-mapped Wildfire Perimeters In Topographically Dissected Areas]]></article-title>
<source><![CDATA[Fire Ecol.]]></source>
<year>2007</year>
<numero>3</numero>
<issue>3</issue>
<page-range>22-31</page-range></nlm-citation>
</ref>
<ref id="B31">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Lentile]]></surname>
<given-names><![CDATA[L.B.]]></given-names>
</name>
<name>
<surname><![CDATA[Holden]]></surname>
<given-names><![CDATA[Z.A.]]></given-names>
</name>
<name>
<surname><![CDATA[Smith]]></surname>
<given-names><![CDATA[A. M.S.]]></given-names>
</name>
<name>
<surname><![CDATA[Falkowski]]></surname>
<given-names><![CDATA[M.J.]]></given-names>
</name>
<name>
<surname><![CDATA[Hudak]]></surname>
<given-names><![CDATA[A.T.]]></given-names>
</name>
<name>
<surname><![CDATA[Morgan]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Lewis]]></surname>
<given-names><![CDATA[S.A.]]></given-names>
</name>
<name>
<surname><![CDATA[Gessler]]></surname>
<given-names><![CDATA[P.E.]]></given-names>
</name>
<name>
<surname><![CDATA[Benson]]></surname>
<given-names><![CDATA[N.C.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Remote sensing techniques to assess active fire characteristics and post-fire effects]]></article-title>
<source><![CDATA[Int. J. Wildl. Fire]]></source>
<year>2006</year>
<numero>15</numero>
<issue>15</issue>
<page-range>319-45</page-range></nlm-citation>
</ref>
<ref id="B32">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Meng]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Wu]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Schwager]]></surname>
<given-names><![CDATA[K.L.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhao]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Dennison]]></surname>
<given-names><![CDATA[P.E.]]></given-names>
</name>
<name>
<surname><![CDATA[Cook]]></surname>
<given-names><![CDATA[B.D.]]></given-names>
</name>
<name>
<surname><![CDATA[Brewster]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Green]]></surname>
<given-names><![CDATA[T.M.]]></given-names>
</name>
<name>
<surname><![CDATA[Serbin]]></surname>
<given-names><![CDATA[S.P.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Using high spatial resolution satellite imagery to map forest burn severity across spatial scales in a Pine Barrens ecosystem]]></article-title>
<source><![CDATA[Remote Sens. Environ]]></source>
<year>2017</year>
<numero>191</numero>
<issue>191</issue>
<page-range>95-109</page-range></nlm-citation>
</ref>
<ref id="B33">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Miller]]></surname>
<given-names><![CDATA[J.D.]]></given-names>
</name>
<name>
<surname><![CDATA[Quayle]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Calibration and validation of immediate post-fire satellite-derived data to three severity metrics]]></article-title>
<source><![CDATA[Fire Ecol.]]></source>
<year>2015</year>
<numero>11</numero>
<issue>11</issue>
<page-range>12-30</page-range></nlm-citation>
</ref>
<ref id="B34">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Miller]]></surname>
<given-names><![CDATA[J.D.]]></given-names>
</name>
<name>
<surname><![CDATA[Thode]]></surname>
<given-names><![CDATA[A.E.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Quantifying burn severity in a heterogeneous landscape with a relative version of the delta Normalized Burn Ratio (dNBR)]]></article-title>
<source><![CDATA[Remote Sens. Environ]]></source>
<year>2007</year>
<numero>109</numero>
<issue>109</issue>
<page-range>66-80</page-range></nlm-citation>
</ref>
<ref id="B35">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Mitri]]></surname>
<given-names><![CDATA[G.H.]]></given-names>
</name>
<name>
<surname><![CDATA[Gitas]]></surname>
<given-names><![CDATA[I.Z.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Fire type mapping using object-based classification of Ikonos imagery]]></article-title>
<source><![CDATA[Int. J. Wildl. Fire]]></source>
<year>2006</year>
<numero>15</numero>
<issue>15</issue>
<page-range>457-62</page-range></nlm-citation>
</ref>
<ref id="B36">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Molina]]></surname>
<given-names><![CDATA[J.L.]]></given-names>
</name>
<name>
<surname><![CDATA[Bromley]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[García-Aróstegui]]></surname>
<given-names><![CDATA[J.L.]]></given-names>
</name>
<name>
<surname><![CDATA[Sullivan]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Benavente]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Integrated water resources management of overexploited hydrogeological systems using Object-Oriented Bayesian Networks]]></article-title>
<source><![CDATA[Environ. Model. Softw.]]></source>
<year>2010</year>
<numero>25</numero>
<issue>25</issue>
<page-range>383-97</page-range></nlm-citation>
</ref>
<ref id="B37">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Montealegre]]></surname>
<given-names><![CDATA[A.L.]]></given-names>
</name>
<name>
<surname><![CDATA[Lamelas]]></surname>
<given-names><![CDATA[M.T.]]></given-names>
</name>
<name>
<surname><![CDATA[Tanase]]></surname>
<given-names><![CDATA[M.A.]]></given-names>
</name>
<name>
<surname><![CDATA[De la Riva]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Forest fire severity assessment using ALS data in a mediterranean environment]]></article-title>
<source><![CDATA[Remote Sens.]]></source>
<year>2014</year>
<numero>6</numero>
<issue>6</issue>
<page-range>4240-65</page-range></nlm-citation>
</ref>
<ref id="B38">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Morgan]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Keane]]></surname>
<given-names><![CDATA[R.E.]]></given-names>
</name>
<name>
<surname><![CDATA[Dillon]]></surname>
<given-names><![CDATA[G.K.]]></given-names>
</name>
<name>
<surname><![CDATA[Jain]]></surname>
<given-names><![CDATA[T.B.]]></given-names>
</name>
<name>
<surname><![CDATA[Hudak]]></surname>
<given-names><![CDATA[A.T.]]></given-names>
</name>
<name>
<surname><![CDATA[Karau]]></surname>
<given-names><![CDATA[E.C.]]></given-names>
</name>
<name>
<surname><![CDATA[Sikkink]]></surname>
<given-names><![CDATA[P.G.]]></given-names>
</name>
<name>
<surname><![CDATA[Holden]]></surname>
<given-names><![CDATA[Z.A.]]></given-names>
</name>
<name>
<surname><![CDATA[Strand]]></surname>
<given-names><![CDATA[E.K.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Challenges of assessing fire and burn severity using field measures, remote sensing and modelling]]></article-title>
<source><![CDATA[Int. J. Wildl. Fire]]></source>
<year>2014</year>
<numero>23</numero>
<issue>23</issue>
<page-range>1045-60</page-range></nlm-citation>
</ref>
<ref id="B39">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Parker]]></surname>
<given-names><![CDATA[B.M.]]></given-names>
</name>
<name>
<surname><![CDATA[Lewis]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Srivastava]]></surname>
<given-names><![CDATA[S.K.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Estimation and evaluation of multi-decadal fire severity patterns using Landsat sensors]]></article-title>
<source><![CDATA[Remote Sensing of Environment]]></source>
<year>2015</year>
<numero>170</numero>
<issue>170</issue>
<page-range>340-9</page-range></nlm-citation>
</ref>
<ref id="B40">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Parks]]></surname>
<given-names><![CDATA[S.A.]]></given-names>
</name>
<name>
<surname><![CDATA[Dillon]]></surname>
<given-names><![CDATA[G.K.]]></given-names>
</name>
<name>
<surname><![CDATA[Miller]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A new metric for quantifying burn severity: The relativized burn ratio]]></article-title>
<source><![CDATA[Remote Sens.]]></source>
<year>2014</year>
<numero>6</numero>
<issue>6</issue>
<page-range>1827-44</page-range></nlm-citation>
</ref>
<ref id="B41">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Parsons]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Robichaud]]></surname>
<given-names><![CDATA[P.R.]]></given-names>
</name>
<name>
<surname><![CDATA[Lewis]]></surname>
<given-names><![CDATA[S.A.]]></given-names>
</name>
<name>
<surname><![CDATA[Napper]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Clark]]></surname>
<given-names><![CDATA[J.T.]]></given-names>
</name>
<name>
<surname><![CDATA[Jain]]></surname>
<given-names><![CDATA[T.B.]]></given-names>
</name>
</person-group>
<source><![CDATA[Field guide for mapping post-fire soil burn severity]]></source>
<year>2010</year>
</nlm-citation>
</ref>
<ref id="B42">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Pausas]]></surname>
<given-names><![CDATA[J.G.]]></given-names>
</name>
<name>
<surname><![CDATA[Llovet]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Anselm]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Vallejo]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Are wildfires a disaster in the Mediterranean basin ? - A review Vegetation changes Shrublands dominated by resprouting species]]></article-title>
<source><![CDATA[Int. J. Wildl. Fire]]></source>
<year>2008</year>
<numero>17</numero>
<issue>17</issue>
<page-range>713-23</page-range></nlm-citation>
</ref>
<ref id="B43">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Pereira]]></surname>
<given-names><![CDATA[J.M.]]></given-names>
</name>
<name>
<surname><![CDATA[Sa]]></surname>
<given-names><![CDATA[A.C.L.]]></given-names>
</name>
<name>
<surname><![CDATA[Sousa]]></surname>
<given-names><![CDATA[A.M.O.]]></given-names>
</name>
<name>
<surname><![CDATA[Silva]]></surname>
<given-names><![CDATA[J.M.N.]]></given-names>
</name>
<name>
<surname><![CDATA[Santos]]></surname>
<given-names><![CDATA[T.N.]]></given-names>
</name>
<name>
<surname><![CDATA[Carreiras]]></surname>
<given-names><![CDATA[J.M.B.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Spectral characterisation and discrimination of burnt areas]]></article-title>
<source><![CDATA[Remote Sens. Large Wildfires]]></source>
<year>1999</year>
<page-range>123-38</page-range></nlm-citation>
</ref>
<ref id="B44">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Pleniou]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Koutsias]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Sensitivity of spectral reflectance values to different burn and vegetation ratios: A multi-scale approach applied in a fire affected area]]></article-title>
<source><![CDATA[ISPRS J. Photogramm. Remote Sens.]]></source>
<year>2013</year>
<numero>79</numero>
<issue>79</issue>
<page-range>199-210</page-range></nlm-citation>
</ref>
<ref id="B45">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Quintano]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Fernandez-Manso]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Roberts]]></surname>
<given-names><![CDATA[D.A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Burn severity mapping from Landsat MESMA fraction images and Land Surface Temperature]]></article-title>
<source><![CDATA[Remote Sens. Environ]]></source>
<year>2017</year>
<numero>190</numero>
<issue>190</issue>
<page-range>83-95</page-range></nlm-citation>
</ref>
<ref id="B46">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Richter]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<source><![CDATA[Atmospheric/Topographic Correction for Satellite Imagery (ATCOR - 2/3 User Guide). ATCOR-2/3 User Guid. Version 6.3]]></source>
<year>2007</year>
<page-range>1-71</page-range></nlm-citation>
</ref>
<ref id="B47">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Roy]]></surname>
<given-names><![CDATA[D.P.]]></given-names>
</name>
<name>
<surname><![CDATA[Boschetti]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Trigg]]></surname>
<given-names><![CDATA[S.N.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Remote sensing of fire severity: Assessing the performance of the normalized burn ratio]]></article-title>
<source><![CDATA[IEEE Geosci. Remote Sens. Lett.]]></source>
<year>2006</year>
<numero>3</numero>
<issue>3</issue>
<page-range>112-6</page-range></nlm-citation>
</ref>
<ref id="B48">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Safford]]></surname>
<given-names><![CDATA[H.D.]]></given-names>
</name>
<name>
<surname><![CDATA[Stevens]]></surname>
<given-names><![CDATA[J.T.]]></given-names>
</name>
<name>
<surname><![CDATA[Merriam]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Meyer]]></surname>
<given-names><![CDATA[M.D.]]></given-names>
</name>
<name>
<surname><![CDATA[Latimer]]></surname>
<given-names><![CDATA[A.M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Fuel treatment effectiveness in California yellow pine and mixed conifer forests]]></article-title>
<source><![CDATA[For. Ecol. Manage]]></source>
<year>2012</year>
<numero>274</numero>
<issue>274</issue>
<page-range>17-28</page-range></nlm-citation>
</ref>
<ref id="B49">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Said]]></surname>
<given-names><![CDATA[Y.A.]]></given-names>
</name>
<name>
<surname><![CDATA[Petropoulos]]></surname>
<given-names><![CDATA[G.P.]]></given-names>
</name>
<name>
<surname><![CDATA[Srivastava]]></surname>
<given-names><![CDATA[P.K.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Assessing the influence of atmospheric and topographic correction and inclusion of SWIR bands in burned scars detection from high-resolution EO imagery: a case study using ASTER]]></article-title>
<source><![CDATA[Nat. Hazards]]></source>
<year>2015</year>
<numero>78</numero>
<issue>78</issue>
<page-range>1609-28</page-range></nlm-citation>
</ref>
<ref id="B50">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[San-Miguel-Ayanz]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Moreno]]></surname>
<given-names><![CDATA[J.M.]]></given-names>
</name>
<name>
<surname><![CDATA[Camia]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Analysis of large fires in European Mediterranean landscapes: Lessons learned and perspectives]]></article-title>
<source><![CDATA[For. Ecol. Manage]]></source>
<year>2013</year>
<numero>294</numero>
<issue>294</issue>
<page-range>11-22</page-range></nlm-citation>
</ref>
<ref id="B51">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Schepers]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Haest]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Veraverbeke]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Spanhove]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Borre]]></surname>
<given-names><![CDATA[J. Vanden]]></given-names>
</name>
<name>
<surname><![CDATA[Goossens]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Burned area detection and burn severity assessment of a heathland fire in belgium using airborne imaging spectroscopy (APEX)]]></article-title>
<source><![CDATA[Remote Sens.]]></source>
<year>2014</year>
<numero>6</numero>
<issue>6</issue>
<page-range>1803-26</page-range></nlm-citation>
</ref>
<ref id="B52">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Smith]]></surname>
<given-names><![CDATA[A.M.S.]]></given-names>
</name>
<name>
<surname><![CDATA[Sparks]]></surname>
<given-names><![CDATA[A.M.]]></given-names>
</name>
<name>
<surname><![CDATA[Kolden]]></surname>
<given-names><![CDATA[C.A.]]></given-names>
</name>
<name>
<surname><![CDATA[Abatzoglou]]></surname>
<given-names><![CDATA[J.T.]]></given-names>
</name>
<name>
<surname><![CDATA[Talhelm]]></surname>
<given-names><![CDATA[A.F.]]></given-names>
</name>
<name>
<surname><![CDATA[Johnson]]></surname>
<given-names><![CDATA[D.M.]]></given-names>
</name>
<name>
<surname><![CDATA[Boschetti]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Lutz]]></surname>
<given-names><![CDATA[J.A.]]></given-names>
</name>
<name>
<surname><![CDATA[Apostol]]></surname>
<given-names><![CDATA[K.G.]]></given-names>
</name>
<name>
<surname><![CDATA[Yedinak]]></surname>
<given-names><![CDATA[K.M.]]></given-names>
</name>
<name>
<surname><![CDATA[Tinkham]]></surname>
<given-names><![CDATA[W.T.]]></given-names>
</name>
<name>
<surname><![CDATA[Kremens]]></surname>
<given-names><![CDATA[R.J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Towards a new paradigm in fire severity research using dose-response experiments]]></article-title>
<source><![CDATA[Int. J. Wildl. Fire]]></source>
<year>2016</year>
<numero>25</numero>
<issue>25</issue>
<page-range>158-66</page-range></nlm-citation>
</ref>
<ref id="B53">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Stambaugh]]></surname>
<given-names><![CDATA[M.C.]]></given-names>
</name>
<name>
<surname><![CDATA[Hammer]]></surname>
<given-names><![CDATA[L.D.]]></given-names>
</name>
<name>
<surname><![CDATA[Godfrey]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Performance of burn-severity metrics and classification in oak woodlands and grasslands]]></article-title>
<source><![CDATA[Remote Sens.]]></source>
<year>2015</year>
<numero>7</numero>
<issue>7</issue>
<page-range>10501-22</page-range></nlm-citation>
</ref>
<ref id="B54">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Tucker]]></surname>
<given-names><![CDATA[C.J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Red and photographic infrared linear combinations for monitoring vegetation]]></article-title>
<source><![CDATA[Remote Sens. Environ.]]></source>
<year>1979</year>
<numero>8</numero>
<issue>8</issue>
<page-range>127-50</page-range></nlm-citation>
</ref>
<ref id="B55">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Turner]]></surname>
<given-names><![CDATA[M.G.]]></given-names>
</name>
<name>
<surname><![CDATA[Hargrove]]></surname>
<given-names><![CDATA[W.W.]]></given-names>
</name>
<name>
<surname><![CDATA[Gardner]]></surname>
<given-names><![CDATA[R.H.]]></given-names>
</name>
<name>
<surname><![CDATA[Romme]]></surname>
<given-names><![CDATA[W.H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Effects of Fire on Landscape Heterogeneity in Yellowstone National Park, Wyoming]]></article-title>
<source><![CDATA[J. Veg. Sci.]]></source>
<year>1994</year>
<numero>5</numero>
<issue>5</issue>
<page-range>731-42</page-range></nlm-citation>
</ref>
<ref id="B56">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Van Wagtendonk]]></surname>
<given-names><![CDATA[J.W.]]></given-names>
</name>
<name>
<surname><![CDATA[Root]]></surname>
<given-names><![CDATA[R.R.]]></given-names>
</name>
<name>
<surname><![CDATA[Key]]></surname>
<given-names><![CDATA[C.H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Comparison of AVIRIS and Landsat ETM+ detection capabilities for burn severity]]></article-title>
<source><![CDATA[Remote Sensing of Environment]]></source>
<year>2004</year>
<volume>92</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>397-408</page-range></nlm-citation>
</ref>
<ref id="B57">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Veraverbeke]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Harris]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Hook]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Evaluating spectral indices for burned area discrimination using MODIS/ASTER (MASTER) airborne simulator data]]></article-title>
<source><![CDATA[Remote Sens. Environ]]></source>
<year>2011</year>
</nlm-citation>
</ref>
<ref id="B58">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Veraverbeke]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Lhermitte]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Verstraeten]]></surname>
<given-names><![CDATA[W.W.]]></given-names>
</name>
<name>
<surname><![CDATA[Goossens]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Evaluation of pre/post-fire differenced spectral indices for assessing burn severity in a Mediterranean environment with Landsat Thematic Mapper]]></article-title>
<source><![CDATA[Int. J. Remote Sesning]]></source>
<year>2011</year>
<numero>32</numero>
<issue>32</issue>
<page-range>3521-37</page-range></nlm-citation>
</ref>
<ref id="B59">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Veraverbeke]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Verstraeten]]></surname>
<given-names><![CDATA[W.W.]]></given-names>
</name>
<name>
<surname><![CDATA[Lhermitte]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Goossens]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Evaluating Landsat Thematic Mapper spectral indices for estimating burn severity of the 2007 Peloponnese wildfires in Greece]]></article-title>
<source><![CDATA[Int. J. Wildl. Fire]]></source>
<year>2010</year>
<numero>19</numero>
<issue>19</issue>
<page-range>558-69</page-range></nlm-citation>
</ref>
<ref id="B60">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Viedma]]></surname>
<given-names><![CDATA[O.]]></given-names>
</name>
<name>
<surname><![CDATA[Quesada]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Torres]]></surname>
<given-names><![CDATA[I.]]></given-names>
</name>
<name>
<surname><![CDATA[De Santis]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Moreno]]></surname>
<given-names><![CDATA[J.M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Fire Severity in a Large Fire in a Pinus pinaster Forest is Highly Predictable from Burning Conditions, Stand Structure, and Topography]]></article-title>
<source><![CDATA[Ecosystems]]></source>
<year>2015</year>
<numero>18</numero>
<issue>18</issue>
<page-range>237-50</page-range></nlm-citation>
</ref>
<ref id="B61">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[White]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Ryan]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Key]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Running]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Remote Sensing of Forest Fire Severity and Vegetation Recovery]]></article-title>
<source><![CDATA[Int. J. Wildl. Fire]]></source>
<year>1996</year>
</nlm-citation>
</ref>
<ref id="B62">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Yan]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Mas]]></surname>
<given-names><![CDATA[J.&#8208;F.]]></given-names>
</name>
<name>
<surname><![CDATA[Maathuis]]></surname>
<given-names><![CDATA[B.H.P.]]></given-names>
</name>
<name>
<surname><![CDATA[Xiangmin]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Van Dijk]]></surname>
<given-names><![CDATA[P.M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Comparison of pixel&#8208;based and object&#8208;oriented image classification approaches -a case study in a coal fire area, Wuda, Inner Mongolia, China]]></article-title>
<source><![CDATA[Int. J. Remote Sens]]></source>
<year>2006</year>
<numero>27</numero>
<issue>27</issue>
<page-range>4039-55</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
