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		<isbn>978-85-17-00088-1</isbn>
		<label>60166</label>
		<citationkey>PaivaSalmBapt:2017:VeEqMé</citationkey>
		<title>Verificação da equivalência de métodos para correção atmosférica por meio da aplicação de índices espectrais de vegetação em dados do sensor AVIRIS</title>
		<format>Internet</format>
		<year>2017</year>
		<secondarytype>PRE CN</secondarytype>
		<numberoffiles>1</numberoffiles>
		<size>608 KiB</size>
		<author>Paiva, Yuri Roberta Yamaguchi de,</author>
		<author>Salmona, Yuri Botelho,</author>
		<author>Baptista, Gustavo Macedo de Mello,</author>
		<electronicmailaddress>yuri.roberta@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>5341-5348</pages>
		<booktitle>Anais</booktitle>
		<organization>Instituto Nacional de Pesquisas Espaciais (INPE)</organization>
		<transferableflag>1</transferableflag>
		<abstract>The presence of atmosphere with aerosols and gases alters the reflected signal from the surface, resulting in a decrease in the quality of the hyperspectral image. The assessment of this data requires that these atmospheric effects be removed from the imagery, to retrieve the inherent spectral reflectance of the surface materials, in a process referred to as atmospheric correction. This work examines the use of hyperspectral remote sensing techniques to compare the equivalence of three atmospheric correction methods (Green, FLAASH and QUAC) using two spectral indices that test different regions of the spectrum, around the visible (PSRI) and in the short-wave infrared (CAI), in order to evaluate the hyperspectral reflectance of the Cerrado vegetation canopy. The imagery of the study site was collected by a AVIRIS sensor in august 1996, and refers to a scene from the municipality of São João da Aliança, State of Goiás, Brazil. The obtained resultant images, corrected using both FLAASH and QUAC atmospheric correction algorithms, were compared with the image corrected using the Green method. FLAASH is found to be a better match for Cerrado vegetation samples analysis. The spectral absorption bands in the visible region of the spectrum, tested with the PSRI vegetation index, have found a better equivalence in between the three atmospheric correction methods.</abstract>
		<area>SRE</area>
		<type>Radiometria e sensores</type>
		<language>pt</language>
		<targetfile>60166.pdf</targetfile>
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		<url>http://marte2.sid.inpe.br/rep-/sid.inpe.br/marte2/2017/10.27.14.08.10</url>
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