<?xml version="1.0" encoding="ISO-8859-1"?>
<metadatalist>
	<metadata ReferenceType="Conference Proceedings">
		<site>marte.sid.inpe.br 800</site>
		<holdercode>{isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S}</holdercode>
		<repository>dpi.inpe.br/sbsr@80/2006/11.15.16.55</repository>
		<lastupdate>2007:03.03.21.30.34 dpi.inpe.br/banon/2003/12.10.19.30 erich@sid.inpe.br</lastupdate>
		<metadatarepository>dpi.inpe.br/sbsr@80/2006/11.15.16.55.21</metadatarepository>
		<metadatalastupdate>2018:06.06.02.37.26 dpi.inpe.br/banon/2003/12.10.19.30 administrator {D 2007}</metadatalastupdate>
		<isbn>978-85-17-00031-7</isbn>
		<citationkey>SantosLiEiKoSiBr:2007:AvPrUs</citationkey>
		<title>Avaliação preliminar do uso do modelo SEBAL para a estimativa da distribuição espacial da evapotranspiração de uma área do Cerrado</title>
		<format>CD-ROM, On-line.</format>
		<year>2007</year>
		<secondarytype>PRE CN</secondarytype>
		<numberoffiles>1</numberoffiles>
		<size>578 KiB</size>
		<author>Santos, Ronaldo Medeiros dos,</author>
		<author>Lima, Jorge Enoch Furquim Werneck,</author>
		<author>Eid, Nabil Joseph,</author>
		<author>Koide, Sergio,</author>
		<author>Silva, Eloy de Souza,</author>
		<author>Brito, Ronai Soares de,</author>
		<affiliation>Universidade de Brasília (UnB). Depto. Engenharia Civil e Ambiental.</affiliation>
		<affiliation>Universidade de Brasília (UnB). Depto. Engenharia Civil e Ambiental. Embrapa Cerrados. CPAC.</affiliation>
		<affiliation>Universidade de Brasília (UnB). Depto. Engenharia Civil e Ambiental.</affiliation>
		<affiliation>Universidade de Brasília (UnB). Depto. Engenharia Civil e Ambiental.</affiliation>
		<affiliation>Companhia de Desenvolvimento dos Vales do São Francisco e do Parnaíba (CODEVASF)</affiliation>
		<affiliation>Universidade Estadual de Montes Claros (Unimontes)</affiliation>
		<electronicmailaddress>ronaldoenge@yahoo.com.br</electronicmailaddress>
		<electronicmailaddress>jorge@cpac.embrapa.br</electronicmailaddress>
		<electronicmailaddress>njeid@unb.br</electronicmailaddress>
		<electronicmailaddress>skoide@unb.br</electronicmailaddress>
		<electronicmailaddress>eloyszsilva@gmail.com</electronicmailaddress>
		<electronicmailaddress>ronaisoares@yahoo.com.br</electronicmailaddress>
		<editor>Epiphanio, José Carlos Neves,</editor>
		<editor>Galvão, Lênio Soares,</editor>
		<editor>Fonseca, Leila Maria Garcia,</editor>
		<e-mailaddress>ronaldoenge@yahoo.com.br</e-mailaddress>
		<conferencename>Simpósio Brasileiro de Sensoriamento Remoto, 13 (SBSR).</conferencename>
		<conferencelocation>Florianópolis</conferencelocation>
		<date>21-26 abr. 2007</date>
		<publisher>Instituto Nacional de Pesquisas Espaciais (INPE)</publisher>
		<publisheraddress>São José dos Campos</publisheraddress>
		<pages>3541-3548</pages>
		<booktitle>Anais</booktitle>
		<tertiarytype>Artigo</tertiarytype>
		<organization>Instituto Nacional de Pesquisas Espaciais (INPE)</organization>
		<transferableflag>1</transferableflag>
		<keywords>balanço de energia, evapotranspiração, sensoriamento remoto, recursos hídricos.</keywords>
		<abstract>The knowledge about evapotranspiration in regional scale is an important issue for improving water resources management systems. However, the installation and the operation of meteorological gaging stations demand a great amount of economic and human resources, frequently, not available. As a consequence, the net of stations is sparsely distributed, hindering the correct knowledge about the evapotranspiration spatial distribution. To face those limitations the remote sensing had been an important tool to estimate parameters of temperature and radiation, helping to build physical and empirical models whose factors needed to the evapotranspiration computation can be measured by remote sensors. The present work has as objective the mapping of the spatial distribution of evapotranspiration in the RIDE region. The SEBAL model was used, decoded in a geographic information system, and the result of its application presented a high level of coherence when compared with a value obtained using the Penman-Monteith  FAO model applied to local meteorological data.</abstract>
		<area>SRE</area>
		<subject>Hidrologia e Recursos Hídricos</subject>
		<session>Hidrologia e Recursos Hídricos</session>
		<type>Hidrologia e Recursos Hídricos</type>
		<language>pt</language>
		<targetfile>3541-3548.pdf</targetfile>
		<usergroup>ronaldoenge@yahoo.com.br administrator erich@sid.inpe.br</usergroup>
		<readergroup>administrator</readergroup>
		<readergroup>ronaldoenge@yahoo.com.br</readergroup>
		<visibility>shown</visibility>
		<mirrorrepository>dpi.inpe.br/banon-pc2@80/2006/07.17.20.31</mirrorrepository>
		<hostcollection>dpi.inpe.br/banon/2003/12.10.19.30</hostcollection>
		<sponsor>Conselho Nacional de Desenvolvimento Científico e Tecnológico - CNPq</sponsor>
		<mark>1</mark>
		<lasthostcollection>dpi.inpe.br/banon/2003/12.10.19.30</lasthostcollection>
		<url>http://marte.sid.inpe.br/rep-/dpi.inpe.br/sbsr@80/2006/11.15.16.55</url>
	</metadata>
</metadatalist>