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		<isbn>978-85-17-00088-1</isbn>
		<label>61662</label>
		<citationkey>Toledo:2017:LeReRe</citationkey>
		<title>Levantamento da rede reservatório no semiárido brasileiro por meio de sensoriamento remoto</title>
		<format>Internet</format>
		<year>2017</year>
		<secondarytype>PRE CN</secondarytype>
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		<size>754 KiB</size>
		<author>Toledo, Cristian Epifânio de,</author>
		<electronicmailaddress>cristianepifanio@yahoo.com.br</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>5400-5407</pages>
		<booktitle>Anais</booktitle>
		<organization>Instituto Nacional de Pesquisas Espaciais (INPE)</organization>
		<transferableflag>1</transferableflag>
		<abstract>The reservoirs are the main water source in the Brazilian semiarid region, especially in the crystalline-geology watersheds, generating a high density reservoir network. The objective of this work was mapping and evaluating the spatial distribution of the HdRN in the 25,000 km² Orós Reservoir Basin, Brazil, with the help of remote sensing tools associated with Geographic Information Systems. Using images LANDSAT 5 of the end of the rainy season of 2011 of the ORB, the remote sensing technique allowed the identification of 6,002 polygons, which corresponded to only 4,717 reservoirs (i.e., 27% misidentification). The perimeter of the reservoirs ranged from 0.250 to 560 km and the individual water surface area ranged from of 0.004 to 195.0 km², with a total of 465.0 km². Analyzing the surface area of some reservoirs, results showed that the surface area estimated by remote sensing with manual adjustment of the polygons yielded values very close the on-site monitored areas, generating R2 = 0.99 and Normalized Difference Index ranging from -0.02 to +0.09. The density of reservoirs in the ORB in 2011 was 0.19 reservoirs/km², higher than the optimum recommended density for the basin of 0.15 reservoirs/km². Remote sensing method used to identify the reservoirs allowed the mapping and evaluation of the surface areas of strategic reservoirs of Basin Óros Reservoir, showing great potential for monitoring, planning and management of water resources.</abstract>
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		<type>Áreas úmidas e águas interiores</type>
		<language>pt</language>
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