<?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>0012-7353</journal-id>
<journal-title><![CDATA[DYNA]]></journal-title>
<abbrev-journal-title><![CDATA[Dyna rev.fac.nac.minas]]></abbrev-journal-title>
<issn>0012-7353</issn>
<publisher>
<publisher-name><![CDATA[Universidad Nacional de Colombia]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0012-73532023000500129</article-id>
<article-id pub-id-type="doi">10.15446/dyna.v90n229.10929</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Flooding mapping detection and urban affectation using Google Earth Engine]]></article-title>
<article-title xml:lang="es"><![CDATA[Detección cartográfica de inundaciones y afectación urbana usando Google Earth Engine]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Arias-Choquehuanca]]></surname>
<given-names><![CDATA[Diego Alonso]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Campos-Neciosup]]></surname>
<given-names><![CDATA[Brayan Indalecio]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Quiroz-Jiménez]]></surname>
<given-names><![CDATA[Karena]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Peruvian University of Applied Sciences Civil Engineering Department ]]></institution>
<addr-line><![CDATA[Lima ]]></addr-line>
<country>Peru</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2023</year>
</pub-date>
<volume>90</volume>
<numero>229</numero>
<fpage>129</fpage>
<lpage>136</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S0012-73532023000500129&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S0012-73532023000500129&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S0012-73532023000500129&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract Floods are a phenomenon that can be triggered by river overflow or heavy rainfall. In this context, detecting flooded areas is crucial to document affected zones in urban environments over time. This study focuses on the development of a model based on automatic extraction of flood map images using the Synthetic Aperture Radar (SAR) of Sentinel-1 from the online Google Earth Engine (GEE) platform, specifically for the metropolitan city of Iquitos in Peru. The methodology involved mapping the flooding extent occurred over a seven-year period (2015-2021) to create a probability map of occurrences. Subsequently, identified flood areas were validated using river levels from a two-stage gauge, revealing a positive correlation. The probability map of occurrences was then superimposed on a basemap, identifying the affectation of 14.7 km of roads, 130 schools, and 91 hospitals. These findings can provide significant information for decision-making related to disaster prevention and management.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen Las inundaciones son fenómenos provocados por el desborde de ríos o por intensas lluvias. En ese contexto, la detección cartográfica de inundación ayuda con un registro de zonas afectadas en entornos urbanos. Este estudio trata del desarrollo de un modelo de extracción automática de imágenes de áreas de inundación utilizando el radar de apertura sintética del Sentinel-1 desde el Google Earth Engine para la ciudad de Iquitos en Perú. Se adquirieron imágenes de 7 años para construir un mapa de probabilidad de ocurrencia de inundaciones. Las áreas inundables fueron validadas con los niveles de los ríos de dos estaciones cercanas, demostrando una correlación positiva. El mapa de probabilidad se superpuso sobre un mapa base de infraestructuras cuantificando la afectación en 14.7 km de vías vehiculares, 130 instituciones educativas y 91 hospitales. Estos resultados pueden aportar para la toma de decisiones en la prevención y la gestión de desastres.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Google Earth Engine]]></kwd>
<kwd lng="en"><![CDATA[SAR]]></kwd>
<kwd lng="en"><![CDATA[coefficient of determination]]></kwd>
<kwd lng="en"><![CDATA[Iquitos]]></kwd>
<kwd lng="en"><![CDATA[probability map of occurrences]]></kwd>
<kwd lng="en"><![CDATA[detecting flooded areas]]></kwd>
<kwd lng="es"><![CDATA[Google Earth Engine]]></kwd>
<kwd lng="es"><![CDATA[SAR]]></kwd>
<kwd lng="es"><![CDATA[coeficiente de determinación]]></kwd>
<kwd lng="es"><![CDATA[Iquitos]]></kwd>
<kwd lng="es"><![CDATA[mapa de probabilidad de ocurrencias]]></kwd>
<kwd lng="es"><![CDATA[detección cartográfica de inundación]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<label>[1]</label><nlm-citation citation-type="book">
<collab>UNDRR (UN Office for Disaster Risk Reduction)</collab>
<source><![CDATA[The human cost of disasters an overview of the last 20 years 2000-2019 [Online]]]></source>
<year>2020</year>
<publisher-name><![CDATA[Centre for Research on the Epidemiology of Disasters (CRED)]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B2">
<label>[2]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Pandey]]></surname>
<given-names><![CDATA[A.C.]]></given-names>
</name>
<name>
<surname><![CDATA[Kaushik]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Parida]]></surname>
<given-names><![CDATA[B.R.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Google Earth Engine for Large-Scale Flood Mapping Using SAR Data and Impact Assessment on Agriculture and Population of Ganga-Brahmaputra Basin]]></article-title>
<source><![CDATA[Sustainability]]></source>
<year>2022</year>
<volume>14</volume>
<numero>7</numero>
<issue>7</issue>
</nlm-citation>
</ref>
<ref id="B3">
<label>[3]</label><nlm-citation citation-type="book">
<collab>INDECI (Instituto Nacional de Defensa Civil)</collab>
<source><![CDATA[Compendio Estadístico del INDECI 2020 en la preparación, respuesta y rehabilitación de la GRD]]></source>
<year>2020</year>
<publisher-loc><![CDATA[Perú ]]></publisher-loc>
<publisher-name><![CDATA[Portal INDECI]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B4">
<label>[4]</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Coffman]]></surname>
<given-names><![CDATA[D.M.]]></given-names>
</name>
</person-group>
<source><![CDATA[Urban Livelihoods and Flood Vulnerability in a State-Sponsored Resettlement Project in Iquitos]]></source>
<year>2021</year>
<publisher-loc><![CDATA[Peru ]]></publisher-loc>
<publisher-name><![CDATA[Department of Geography and Planning, University of Toronto]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B5">
<label>[5]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[McCormack]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Campayà]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Naughton]]></surname>
<given-names><![CDATA[O.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A methodology for mapping annual flood extent using multi-temporal Sentinel-1 imagery]]></article-title>
<source><![CDATA[Remote Sensing of Environment]]></source>
<year>2022</year>
<volume>282</volume>
<page-range>278-93</page-range></nlm-citation>
</ref>
<ref id="B6">
<label>[6]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Islam]]></surname>
<given-names><![CDATA[M.T.]]></given-names>
</name>
<name>
<surname><![CDATA[Meng]]></surname>
<given-names><![CDATA[Q.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[An exploratory study of Sentinel-1 SAR for rapid urban flood mapping on Google Earth Engine]]></article-title>
<source><![CDATA[International Journal of Applied Earth Observation and Geoinformation]]></source>
<year>2022</year>
<volume>113</volume>
</nlm-citation>
</ref>
<ref id="B7">
<label>[7]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Gorelick]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Hancher]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Dixon]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Ilyushchenko]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Thau]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Moore]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Google earth engine: planetary-scale geospatial analysis for everyone]]></article-title>
<source><![CDATA[Remote Sens Environ]]></source>
<year>2017</year>
<volume>202</volume>
<page-range>18-27</page-range></nlm-citation>
</ref>
<ref id="B8">
<label>[8]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Nghia]]></surname>
<given-names><![CDATA[B.P.Q.]]></given-names>
</name>
<name>
<surname><![CDATA[Pal]]></surname>
<given-names><![CDATA[I.]]></given-names>
</name>
<name>
<surname><![CDATA[Chollacoop]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Mukhopadhyay]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Applying Google earth engine for flood mapping and monitoring in the downstream provinces of Mekong river]]></article-title>
<source><![CDATA[Progress in Disaster Science]]></source>
<year>2022</year>
<volume>14</volume>
</nlm-citation>
</ref>
<ref id="B9">
<label>[9]</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Moothedan]]></surname>
<given-names><![CDATA[A.J.]]></given-names>
</name>
<name>
<surname><![CDATA[Thakur]]></surname>
<given-names><![CDATA[P.K.]]></given-names>
</name>
<name>
<surname><![CDATA[Garg]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
<name>
<surname><![CDATA[Dhote]]></surname>
<given-names><![CDATA[P.R.]]></given-names>
</name>
<name>
<surname><![CDATA[Aggarwal]]></surname>
<given-names><![CDATA[S.P.]]></given-names>
</name>
<name>
<surname><![CDATA[Mohapatra]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<source><![CDATA[Automatic flood mapping using Sentinel-1 GRD SAR images and Google Earth Engine: a case study of Darbhangah, Bihar]]></source>
<year>2020</year>
<conf-name><![CDATA[ Proceedings of National Seminar]]></conf-name>
<conf-loc> </conf-loc>
</nlm-citation>
</ref>
<ref id="B10">
<label>[10]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ezzine]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Saidi]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Hermassi]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Kammessi]]></surname>
<given-names><![CDATA[I.]]></given-names>
</name>
<name>
<surname><![CDATA[Darragi]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Rajhi]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Flood mapping using hydraulic modeling and Sentinel-1 image: case study of Medjerda Basin, northern Tunisia]]></article-title>
<source><![CDATA[The Egyptian Journal of Remote Sensing and Space Science]]></source>
<year>2020</year>
<volume>23</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>303-10</page-range></nlm-citation>
</ref>
<ref id="B11">
<label>[11]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zotou]]></surname>
<given-names><![CDATA[I.]]></given-names>
</name>
<name>
<surname><![CDATA[Bellos]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
<name>
<surname><![CDATA[Gkouma]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Karathanassi]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
<name>
<surname><![CDATA[Tsihrintzis]]></surname>
<given-names><![CDATA[V.A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Using Sentinel-1 imagery to assess predictive performance of a hydraulic model]]></article-title>
<source><![CDATA[Water Resources Management]]></source>
<year>2020</year>
<volume>34</volume>
<numero>14</numero>
<issue>14</issue>
<page-range>4415-30</page-range></nlm-citation>
</ref>
<ref id="B12">
<label>[12]</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Quintana-Ortiz]]></surname>
<given-names><![CDATA[J.M.]]></given-names>
</name>
<name>
<surname><![CDATA[Moreno-Santillan]]></surname>
<given-names><![CDATA[R.D.]]></given-names>
</name>
<name>
<surname><![CDATA[Pasapera-Gonzalez]]></surname>
<given-names><![CDATA[J.J.]]></given-names>
</name>
</person-group>
<source><![CDATA[Estimation of flooded areas during the El Niño Costero 2017 event using multisensor satellite data. Case Study: Lower Piura watershed (Peru)]]></source>
<year>2021</year>
<conf-name><![CDATA[ International Conference on Aerospace and Signal Processing (INCAS)]]></conf-name>
<conf-date>2021</conf-date>
<conf-loc>Lima, Peru </conf-loc>
<page-range>1-4</page-range></nlm-citation>
</ref>
<ref id="B13">
<label>[13]</label><nlm-citation citation-type="">
<collab>UN-SPIDER Knowledge Portal</collab>
<source><![CDATA[Step-by-step: Recommended Practice: Flood Mapping and Damage Assessment Using Sentinel-1 SAR Data in Google Earth Engine]]></source>
<year>2021</year>
</nlm-citation>
</ref>
<ref id="B14">
<label>[14]</label><nlm-citation citation-type="book">
<collab>INEI (Instituto Nacional de Defensa Civil)</collab>
<source><![CDATA[Loreto, Resultados definitivos]]></source>
<year>2018</year>
<publisher-loc><![CDATA[Lima, Perú ]]></publisher-loc>
<publisher-name><![CDATA[INEI (Instituto Nacional de Defensa Civil)]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B15">
<label>[15]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Asuero]]></surname>
<given-names><![CDATA[A.G.]]></given-names>
</name>
<name>
<surname><![CDATA[Sayago]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Gonzálezt]]></surname>
<given-names><![CDATA[A.G.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[The correlation coefficient: an overview]]></article-title>
<source><![CDATA[Critical Reviews in Analitical Chemistry]]></source>
<year>2007</year>
<volume>36</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>41-59</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
