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		<isbn>978-85-17-00088-1</isbn>
		<label>59968</label>
		<citationkey>VenancioAmarFilg:2017:ImFrVe</citationkey>
		<title>Imagens fração de vegetação, solo e sombra geradas por modelo linear de mistura espectral para interpretação dos valores do NDVI em plantio de milho irrigado</title>
		<format>Internet</format>
		<year>2017</year>
		<secondarytype>PRE CN</secondarytype>
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		<author>Venancio, Luan Peroni,</author>
		<author>Amaral, Cibele Hummel do,</author>
		<author>Filgueiras, Roberto,</author>
		<electronicmailaddress>chamaral@ufv.br</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>6171-6178</pages>
		<booktitle>Anais</booktitle>
		<organization>Instituto Nacional de Pesquisas Espaciais (INPE)</organization>
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		<abstract>The aim of this study was to evaluate the contribution of fractions images, obtained from spectral mixture analysis, for interpretation of the Normalized Difference Vegetation Index (NDVI) values in an area of corn irrigated by central pivot system, in western of Bahia, Brazil. We worked with seven images from OLI (Operational Land Imager) sensor onboard of the Landsat 8 satellite. The fraction images of green vegetation, soil and shade were generated in Viper Tools 1.5. In addition to the fraction images, the solar zenith angle was calculated for each one of the seven analyzed images. The results show that the fraction images of green vegetation, soil and shade, can provide a better interpretation of NDVI throughout the corn crop cycle. The shade component influences the NDVI of different forms during the cycle, as a function of the culture structural variations, since planting until harvest. Though the temporal variation of shade fraction has a high correlation with the solar zenith angle changes, the NDVI does not show the same behavior. Despite of the high correlation with fraction of green vegetation, the NDVI values were higher in all cycle phases. Thus, this index appears to overestimate the crop growing. Others vegetation indices must be tested for rightly monitoring the corn crop cycle through remote sensing.</abstract>
		<area>SRE</area>
		<type>Agricultura e silvicultura</type>
		<language>pt</language>
		<targetfile>59968.pdf</targetfile>
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