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		<isbn>978-85-17-00088-1</isbn>
		<label>59517</label>
		<citationkey>EspinozaOrti:2017:SaBaMo</citationkey>
		<title>Sar backscatter model inversion for estimation of snow properties along the union glacier ? antarctica</title>
		<format>Internet</format>
		<year>2017</year>
		<secondarytype>PRE CN</secondarytype>
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		<size>426 KiB</size>
		<author>Espinoza, Jean Marcel de Almeida,</author>
		<author>Ortiz, Mauricio Soares,</author>
		<electronicmailaddress>jean.espinoza@riogrande.ifrs.edu.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>7390-7392</pages>
		<booktitle>Anais</booktitle>
		<organization>Instituto Nacional de Pesquisas Espaciais (INPE)</organization>
		<transferableflag>1</transferableflag>
		<abstract>This paper presents an inverse model for SAR backscatter X - band designed to snow and ice surfaces. The model inversionenables estimating the morphological characteristics of snow cover from SAR data. X Cosmo-Skymed sensor data was usedin the experiment tested here for the region of Union Glacier - Antarctica. We observed a precision in determining theestimated size of snow grains about 94%. This result depicts the applicability of the analyzed model as an alternative way forextracting information from X-SAR data.</abstract>
		<area>SRE</area>
		<type>Geomorfologia</type>
		<language>en</language>
		<targetfile>59517.pdf</targetfile>
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