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		<isbn>978-85-17-00088-1</isbn>
		<label>59843</label>
		<citationkey>MouraCunTerBesCas:2017:InDiFo</citationkey>
		<title>Influência de diferentes fontes e escalas de informação do relevo na caracterização de bacias hidrográficas</title>
		<format>Internet</format>
		<year>2017</year>
		<secondarytype>PRE CN</secondarytype>
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		<author>Moura, Maíra Martim de,</author>
		<author>Cunha, Zandra Almeida da,</author>
		<author>Terra, Fabrício Silva,</author>
		<author>Beskow, Samuel,</author>
		<author>Cassalho, Felício,</author>
		<electronicmailaddress>martimdemoura@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>5575-5582</pages>
		<booktitle>Anais</booktitle>
		<organization>Instituto Nacional de Pesquisas Espaciais (INPE)</organization>
		<transferableflag>1</transferableflag>
		<abstract>Delineating watersheds is the first and most important step in most of hydrological analyses. This procedure is usually based on Digital Elevation Model (DEM). In Brazil, DEMs are generally derived from contour lines and elevation points. However, because of their scale, especially for more detailed analysis, remote sensing data sets have been used. Among them, data sets from Shuttle Radar Topography Mission (SRTM), ASTER satellite, and TOPODATA database can be highlighted. Considering that hydrological models strongly depend on reliable watershed topographical characteristics, the present study aimed to evaluate the effect of DEMs obtained from different sources and their respective spatial resolution over both automatic watershed delineation and identification of drainage network. Therefore, five watersheds located in the states of Rio Grande do Sul and Minas Gerais were taken as reference for all the analyses. The automatic watershed delineation, the derivation of the drainage network, and the watershed physiographic characterization, e.g. drainage area, perimeter, maximum and minimum altitude, flow direction, and mean slope, were conducted with the aid of ArcGIS. Based on the results obtained in the present study, it was concluded that in general: i) the TOPODATA DEMs presented better precision for greater altitudes, ii) DEMs from ASTER resulted in overestimation of the drainage network total length, iii) slope varied significantly at the watershed scale, and iv) DEMs derived from the SRTM 90m were not able to properly reproduce the physiographic characteristics of smaller watersheds due to their low spatial resolution and accuracy.</abstract>
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		<type>Modelagem espacial</type>
		<language>pt</language>
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