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		<isbn>978-85-17-00056-0 (Internet)</isbn>
		<isbn>978-85-17-00057-7 (DVD)</isbn>
		<citationkey>LiberatoNasc:2011:EsAlÍn</citationkey>
		<title>Estimativa de albedo e índice de área foliar em região tropical úmida através do algoritmo SEBAL</title>
		<format>DVD, Internet.</format>
		<year>2011</year>
		<secondarytype>PRE CN</secondarytype>
		<numberoffiles>1</numberoffiles>
		<size>267 KiB</size>
		<author>Liberato, Ailton Marcolino,</author>
		<author>Nascimento, Geissa Samira Lima,</author>
		<affiliation>Universidade Federal de Campina Grande – UFCG</affiliation>
		<affiliation>Universidade Federal de Campina Grande – UFCG</affiliation>
		<electronicmailaddress>ailton@dca.ufcg.edu.br</electronicmailaddress>
		<electronicmailaddress>geissa.samira@gmail.com</electronicmailaddress>
		<editor>Epiphanio, José Carlos Neves,</editor>
		<editor>Galvão, Lênio Soares,</editor>
		<e-mailaddress>wanderf@dsr.inpe.br</e-mailaddress>
		<conferencename>Simpósio Brasileiro de Sensoriamento Remoto, 15 (SBSR).</conferencename>
		<conferencelocation>Curitiba</conferencelocation>
		<date>30 abr. - 5 maio 2011</date>
		<publisher>Instituto Nacional de Pesquisas Espaciais (INPE)</publisher>
		<publisheraddress>São José dos Campos</publisheraddress>
		<pages>6113-6120</pages>
		<booktitle>Anais</booktitle>
		<organization>Instituto Nacional de Pesquisas Espaciais (INPE)</organization>
		<transferableflag>1</transferableflag>
		<keywords>remote sensing, vegetation, Amazon, sensoriamento remoto, vegetação, Amazônia.</keywords>
		<abstract>The Leaf Area Index (LAI) is a vegetation biophysical variable used for various primary production models across scales and global models of climate, hydrology, biogeochemistry and ecology. Land use changes have been discussed in the global context of environmental impacts in the last decades, because they occur on the earth surface and it influences directly global climate. In the last decades Remote Sensing has been assuming great importance in the monitoring of earth natural resources. This study to estimate albedo data and LAI from the land surface sensor using the images of Thematic Mapper (TM) satélite Landsat 5 and to compare with values available in the scientific literature. The study area is located in the State of Rondônia. To carry out the study four orbital images were obtained from the satellite Landsat 5-TM in the path 231 and in the row 67, for the dates of 13/07/2005, 30/06 and 16/07 year of 2006, which correspond to the days 194, 181 and 197, respectively. The image processing was developed by using the software ERDAS 8.7. The geometric correction for images was performed and the letters of albedo and IAF were generated. The algorithm SEBAL estimated, satisfactorily, the values of albedo and IAF on the surface pasture and forest (different LAI), consistent with scientific literature.</abstract>
		<area>SRE</area>
		<type>Meteorologia, Atmosfera e Agrometeorologia</type>
		<language>pt</language>
		<targetfile>p0469.pdf</targetfile>
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