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		<isbn>978-85-17-00088-1</isbn>
		<label>59362</label>
		<citationkey>AntunesBolp:2017:MoCoAt</citationkey>
		<title>Modelo de correção atmosférica e subtração de nuvens cirros em imagens do OLI Landsat 8</title>
		<format>Internet</format>
		<year>2017</year>
		<secondarytype>PRE CN</secondarytype>
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		<size>2424 KiB</size>
		<author>Antunes, Mauro Antonio Homem,</author>
		<author>Bolpato, Isadora Ferreira,</author>
		<electronicmailaddress>homemantunes@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>7031-7038</pages>
		<booktitle>Anais</booktitle>
		<organization>Instituto Nacional de Pesquisas Espaciais (INPE)</organization>
		<transferableflag>1</transferableflag>
		<abstract>Cirrus clouds affect downward and upward radiant fluxes, thus affecting the quality of satellite images of the surface. Atmospheric and cirrus correction are necessary to obtain more reliable information from the Earth surface. The objective of this paper is to present and evaluate a model that corrects for atmospheric effects and remove cirrus clouds from the images of OLI Landsat 8 sensor. Images from two dates were used in this research. Field observation of horizontal visibility and cirrus presence were conducted at the same time of satellite overpass. Cirrus reflectance was calculated using the model, which was subsequently used to correct for the atmospheric effects and to remove cirrus from the images. Surface reflectance was generated using the implemented model and images of apparent and surface reflectance were compared. Results show that the corrected images were sharper than the non-corrected images. In the visible the images became darker as the scattering is more significant than the absorption of the flux in the path from surface to the sensor. On the other hand, in the near and mid infrared the images became brighter as the absorption by the atmosphere is more significant. It is concluded that the model is capable of correcting for atmospheric effects and for eliminating cirrus from the OLI Landsat 8 images.</abstract>
		<area>SRE</area>
		<type>Processamento de imagens</type>
		<language>pt</language>
		<targetfile>59362.pdf</targetfile>
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