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		<identifier>3ERPFQRTRW/39ULRQP</identifier>
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		<isbn>978-85-17-00056-0 (Internet)</isbn>
		<isbn>978-85-17-00057-7 (DVD)</isbn>
		<citationkey>SugawaraRudo:2011:AcCrVe</citationkey>
		<title>Acompanhamento do crescimento vegetativo da cana-de-açúcar por meio de séries temporais de NDVI do sensor Modis</title>
		<format>DVD, Internet.</format>
		<year>2011</year>
		<secondarytype>PRE CN</secondarytype>
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		<size>1880 KiB</size>
		<author>Sugawara, Luciana Miura,</author>
		<author>Rudorff, Bernardo Friedrich Theodor,</author>
		<resumeid></resumeid>
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		<group>DSR-OBT-INPE-MCT-BR</group>
		<group>DSR-OBT-INPE-MCT-BR</group>
		<affiliation>Instituto Nacional de Pesquisas Espaciais - INPE</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais - INPE</affiliation>
		<electronicmailaddress>lmiura@dsr.inpe.br</electronicmailaddress>
		<electronicmailaddress>bernardo@dsr.inpe.br</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>391-398</pages>
		<booktitle>Anais</booktitle>
		<organization>Instituto Nacional de Pesquisas Espaciais (INPE)</organization>
		<transferableflag>1</transferableflag>
		<keywords>remote sensing, NDVI, sugarcane, 4253H, Twice smoother, sensoriamento remoto, NDVI, cana-de-açúcar, filtro 4253H, Twice.</keywords>
		<abstract>Monitoring of crop growth condition is relevant for crop yield estimation. Time series of vegetation indices derived from remote sensing satellite imagery provide important information on crop growth conditions. The present work aims to monitor key sugarcane growing periods at different cutting stages using NDVI/MODIS time series to provide information on sugarcane growing conditions. The study was carried out in São Paulo state for crop years 2006/07, 2007/08, and 2008/09. The 16-days composites of NDVI, MOD13Q1 product, were filtered using the 4253H, Twice smoother. A sampling grid (250x250 m) of pure pixels was generated for sugarcane fields at different cutting stage. This grid was used to monitor the NDVI evolution, as well as the NDVI sum, every 16 days, during the sugarcane growing season from October to March (12 observations). NDVI ranged between 0.1 and 0.9 during the 12 observations in each of the three evaluated crop years. The NDVI sums indicated significant differences for sugarcane cutting stage. In addition, sugarcane at same cutting stages presented different NDVI values in different crop years. Therefore, it is possible to monitor sugarcane growing condition using NDVI/MODIS time series that can be used to estimate key input biophysical variables for agronomic crop yield models.</abstract>
		<area>SRE</area>
		<type>Agricultura</type>
		<language>pt</language>
		<targetfile>p1216.pdf</targetfile>
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