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		<holdercode>{isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S}</holdercode>
		<identifier>3ERPFQRTRW/3A44FE8</identifier>
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		<isbn>978-85-17-00056-0 (Internet)</isbn>
		<isbn>978-85-17-00057-7 (DVD)</isbn>
		<citationkey>BernardesMoreAdam:2011:ApDaMo</citationkey>
		<title>Aplicabilidade de dados Modis no monitoramento de lavouras cafeeiras no Estado de Minas Gerais, Brasil</title>
		<format>DVD, Internet.</format>
		<year>2011</year>
		<secondarytype>PRE CN</secondarytype>
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		<size>1016 KiB</size>
		<author>Bernardes, Tiago,</author>
		<author>Moreira, Maurício Alves,</author>
		<author>Adami, Marcos,</author>
		<resumeid></resumeid>
		<resumeid>8JMKD3MGP5W/3C9JHT4</resumeid>
		<group>DSR-OBT-INPE-MCT-BR</group>
		<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>
		<affiliation>Instituto Nacional de Pesquisas Espaciais - INPE</affiliation>
		<electronicmailaddress>bernati@dsr.inpe.br</electronicmailaddress>
		<electronicmailaddress>mauricio@dsr.inpe.br</electronicmailaddress>
		<electronicmailaddress>adami@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>631-637</pages>
		<booktitle>Anais</booktitle>
		<organization>Instituto Nacional de Pesquisas Espaciais (INPE)</organization>
		<transferableflag>1</transferableflag>
		<keywords>coffee yield, time series, vegetation indexes, produtividade do café, séries temporais, índices de vegetação.</keywords>
		<abstract>This study presents partial results of a procedure to select pixels from Modis images to be used in monitoring coffee plots. Time series of EVI and NDVI were assessed only for those Modis pixels selected according to the described procedure. A wavelet-based filter was used to smooth NDVI and EVI time profiles. Additionally to the single value analysis of vegetation indices we derived a range value of vegetation index in each year through the difference of maximum and minimum vegetation indices inside the growing season. Coffee plots present maxima and minima EVI/NDVI at the end of rainy and dry seasons in Brazil respectively. Yet minima values agree to post-harvesting period when plots lose leaves due to mechanic damage caused by harvesting. The range of vegetation indices in each year showed an alternate pattern, that is, a greater fall in vegetation indices followed by a smaller fall the next year and again a greater fall the following year. Such a behavior suggests great and small fall of leaves in alternated years and can be associated to trends in coffee yield. We will include yield data obtained from farmers to evaluate if the magnitude of defoliation, assumed to be reflected in vegetation indices, is related to coffee yield.</abstract>
		<area>SRE</area>
		<type>Agricultura</type>
		<language>pt</language>
		<targetfile>p0478.pdf</targetfile>
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		<url>http://marte.sid.inpe.br/rep-/dpi.inpe.br/marte/2011/07.13.12.10</url>
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