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		<identifier>8JMKD3MGP6W34M/3PSM3FJ</identifier>
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		<isbn>978-85-17-00088-1</isbn>
		<label>59309</label>
		<citationkey>OliveiraFéNoGaGrRoMa:2017:AcDAMo</citationkey>
		<title>Accuracy of the DART model to simulate very high spatial resolution satellite images on different genotypes of Eucalyptus stands</title>
		<format>Internet</format>
		<year>2017</year>
		<secondarytype>PRE CN</secondarytype>
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		<size>694 KiB</size>
		<author>Oliveira, Julianne de Castro,</author>
		<author>Féret, Jean-Baptiste,</author>
		<author>Nouvellon, Yann,</author>
		<author>Gastellu-Etchegorry, Jean-Philippe,</author>
		<author>Grau, Eloi,</author>
		<author>Rodriguez, Luiz Carlos Estraviz,</author>
		<author>Maire, Guerric le,</author>
		<electronicmailaddress>juliannecoliveira@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>4651-4658</pages>
		<booktitle>Anais</booktitle>
		<organization>Instituto Nacional de Pesquisas Espaciais (INPE)</organization>
		<transferableflag>1</transferableflag>
		<abstract>Fast-growing Eucalyptus plantations cover about 5.6 million ha in Brazil, and are among the most productive forest plantations in the world. Various Eucalyptus genotypes is cultivated, having distinct biophysical and biochemical characteristics. The use of remote sensing images to estimate Eucalyptus stand characteristics is challenging, due to the lack of knowledge on how they influence the reflectance signal. This study uses the DART radiative transfer model to evaluate the effects of forest parameters on their reflectance behavior. The first step was to test the model reliability for the simulation of reflectance images corresponding to Eucalyptus forests. We parameterized DART to simulate reflectance images in four bands (blue, green, red and NIR), using extensive measurements from plantations with 54 months old in Itatinga (SP), Brazil. A trial including 16 contrasted genotypes was planted in 10 blocks. Inventories were conducted and leaves, trunk and litter optical properties were measured. Simulations accuracy was evaluated by comparing the mean top of canopy (TOC) reflectance of DART with TOC extracted from a Pleiades satellite image. Results showed a good performance of DART with mean reflectance absolute error lower than 2 % for all bands. The second step consisted in a sensitivity analysis to explore which stand parameters influence more canopy reflectance; LAI, leaf reflectance, trees dimensions and row azimuth were most sensitive parameters. These results open perspectives on the use of DART in inversion mode to extract parameters over spatio-temporal scales.</abstract>
		<area>SRE</area>
		<type>Floresta e outros tipos de vegetação</type>
		<language>en</language>
		<targetfile>59309.pdf</targetfile>
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		<url>http://marte2.sid.inpe.br/rep-/sid.inpe.br/marte2/2017/10.27.13.53.13</url>
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