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		<identifier>8JMKD3MGP6W34M/3PSM28P</identifier>
		<repository>sid.inpe.br/marte2/2017/10.27.13.38</repository>
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		<isbn>978-85-17-00088-1</isbn>
		<label>59655</label>
		<citationkey>NicoleteCarvZimb:2017:AvÍnTo</citationkey>
		<title>Avaliação do índice topográfico de umidade obtido por diferentes modelos digitais de elevação</title>
		<format>Internet</format>
		<year>2017</year>
		<secondarytype>PRE CN</secondarytype>
		<numberoffiles>1</numberoffiles>
		<size>1018 KiB</size>
		<author>Nicolete, Donizeti Aparecido Pastori,</author>
		<author>Carvalho, Tania Maria de,</author>
		<author>Zimback, Célia Regina Lopes,</author>
		<electronicmailaddress>dnicolete@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>3932-3938</pages>
		<booktitle>Anais</booktitle>
		<organization>Instituto Nacional de Pesquisas Espaciais (INPE)</organization>
		<transferableflag>1</transferableflag>
		<abstract>The topography, represented by digital elevation models (DEM), has a great influence in the physical and ecological processes in watersheds. DEM are frequently obtained by topographic maps and recently by remote sensing. The surface moisture accumulation can be modeled using the topographic wetness index (TWI) obtained from the MDE and represents the most susceptible sites to saturation and consequently surface runoff formation. This processes is relevant in the soil and water conservation planning, mainly in locales where agricultural practices are predominated. This study aims to evaluate the TWI obtained by different MDEs for the Araquá River basin located in the Midwest São Paulo state, Brazil. The SRTM, ASTER GDEM and MDE products interpolated from the topographic maps, with 30x30m spatial resolution, were used as a database. The TWI derived from these are called TWI_SRTM, TWI_ASTER and TWI_CARTA. From the analysis of the results it was observed that the minimum, maximum and range values were similar for the three products, for spatial and frequency distribution of the values the TWI_SRTM and TWI_ASTER products demonstrate to be equivalent. Thus, the MDEs obtained by remote sensing are promising to obtain secondary topographic indexes such as TWI, especially for sites with no topographic maps.</abstract>
		<area>SRE</area>
		<type>Recursos hídricos</type>
		<language>pt</language>
		<targetfile>59655.pdf</targetfile>
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		<citingitemlist>sid.inpe.br/marte2/2017/09.25.14.55 1</citingitemlist>
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		<url>http://marte2.sid.inpe.br/rep-/sid.inpe.br/marte2/2017/10.27.13.38</url>
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