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		<isbn>978-85-17-00088-1</isbn>
		<label>59221</label>
		<citationkey>ArantesSantJúniFari:2017:DeInFi</citationkey>
		<title>Determinação do início e final da estação chuvosa para o Brasil com dados TRMM e o seu uso como proxy do período de crescimento das pastagens</title>
		<format>Internet</format>
		<year>2017</year>
		<secondarytype>PRE CN</secondarytype>
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		<size>1150 KiB</size>
		<author>Arantes, Arielle Elias,</author>
		<author>Santos, Claudinei Oliveira,</author>
		<author>Júnior, Laerte Guimarães Ferreira,</author>
		<author>Farias, Sylvia Elaine Marques de,</author>
		<electronicmailaddress>aearantes@gmail.com</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>669-676</pages>
		<booktitle>Anais</booktitle>
		<organization>Instituto Nacional de Pesquisas Espaciais (INPE)</organization>
		<transferableflag>1</transferableflag>
		<abstract>The comprehension of the start and end of the wet season are of fundamental importance to understand the ecological processes of vegetation growth, to guide farmers in establishing the appropriate dates of planting and harvesting, and to determine the productivity of rangelands for cattle ranching activity. There are various methods to estimate the start and end of the wet season, most which use precipitation from weather stations, requiring the compilation of massive amounts of data. To determine the most frequent dates of the start and end of the wet season for Brazil during the period of 1998-2015, as well as its relationship to pasture productivity, data from TRMM satellite was used in the TIMESAT software. The start and end of the wet season showed few discrepancies, mostly in the state of Bahia, Ceará, Rio Grande do Norte, Santa Catarina and Rio Grande do Sul, all which have high deviation of the mode, being areas that suffer the direct influence of the ITCZ (Intertropical Convergence Zone) and of several weather systems. The pastures located in the central-western and northeastern regions had the least wet season length, as such, animal supplementation could be a solution adopted in the dry season to minimize animal production losses.  On the other hand, in the northern and southern regions, the pastures have the longest wet season length, and in these places, the farmers already adopt practices like the green cattle and the association of pastures and crops to maximize pasture and animal production.</abstract>
		<area>SRE</area>
		<type>Meteorologia e climatologia</type>
		<language>pt</language>
		<targetfile>59221.pdf</targetfile>
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