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		<identifier>8JMKD3MGP6W34M/3PSM38E</identifier>
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		<isbn>978-85-17-00088-1</isbn>
		<label>59656</label>
		<citationkey>JardimFanColl:2017:PrFeCá</citationkey>
		<title>Proposta de ferramenta para cálculo automático de larguras de rios com base em imagens matriciais</title>
		<format>Internet</format>
		<year>2017</year>
		<secondarytype>PRE CN</secondarytype>
		<numberoffiles>1</numberoffiles>
		<size>686 KiB</size>
		<author>Jardim, Pedro Frediani,</author>
		<author>Fan, Fernando Mainardi,</author>
		<author>Collischonn, Walter,</author>
		<electronicmailaddress>pedro.fjar@gmail.com</electronicmailaddress>
		<editor>Gherardi, Douglas Francisco Marcolino,</editor>
		<editor>Aragão, Luiz Eduardo Oliveira e Cruz de,</editor>
		<e-mailaddress>daniela.seki@inpe.br</e-mailaddress>
		<conferencename>Simpósio Brasileiro de Sensoriamento Remoto, 18 (SBSR)</conferencename>
		<conferencelocation>Santos</conferencelocation>
		<date>28-31 maio 2017</date>
		<publisher>Instituto Nacional de Pesquisas Espaciais (INPE)</publisher>
		<publisheraddress>São José dos Campos</publisheraddress>
		<pages>4502-4509</pages>
		<booktitle>Anais</booktitle>
		<organization>Instituto Nacional de Pesquisas Espaciais (INPE)</organization>
		<transferableflag>1</transferableflag>
		<abstract>Hydrological modeling and remote sensing are very important tools in predicting extreme scenarios and events related to the hydrological cycle. Prior knowledge of the occurrence of floods and droughts, and its spatial extension, gives the decision makers the opportunity to avoid and prevent possible economic, human or environmental damages and losses. To obtain accurate and reliable results coming from modeling and spatialization of floods extensions is necessary the best information regarding hydraulic parameters of the geometry of streams such as width and depth. Traditionally this information for large basins modeling comes from approximations based from drainage area or discharge.  Besides the application in modeling, the knowledge of rivers width have direct applications in ecology, construction and navigation for example. This paper proposes an automatic calculation methodology of river widths along the entire representable length of rivers in raster images derived from remote sensing. To validate the method, images from the LANDSAT 8 satellite were used to create a water mask and perform the algorithm. The results were compared to manual measurements of width and also to a drainage area relationship. The results showed that the width calculated by the proposed methodology were significantly close to the real width and much better than the use of a drainage area relationship.  It is expected that these results reported with the use of the river width calculation tool to be the base of various applications where the width is a key parameter.</abstract>
		<area>SRE</area>
		<type>Recursos hídricos</type>
		<language>pt</language>
		<targetfile>59656.pdf</targetfile>
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