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		<identifier>8JMKD3MGP6W34M/3PSLSGQ</identifier>
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		<isbn>978-85-17-00088-1</isbn>
		<label>59856</label>
		<citationkey>BarbozaRosaLazaJúni:2017:DeMaIn</citationkey>
		<title>Detecção de mancha de inundação abaixo da floresta utilizando a coerência multi-temporal entre imagens SAR da banda P</title>
		<format>Internet</format>
		<year>2017</year>
		<secondarytype>PRE CN</secondarytype>
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		<size>1055 KiB</size>
		<author>Barboza, Marcelo Rodrigo,</author>
		<author>Rosa, Rafael Antonio da Silva,</author>
		<author>Lazaro, Juliano Mota,</author>
		<author>Júnior, João Bosco Nogueira,</author>
		<electronicmailaddress>marcelobarboza.pm@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>3200-3207</pages>
		<booktitle>Anais</booktitle>
		<organization>Instituto Nacional de Pesquisas Espaciais (INPE)</organization>
		<transferableflag>1</transferableflag>
		<abstract>Because of Earth climate changes, big environment problems has occurred in different scales and with different consequences. One of them is the high variation in the level of rivers and water reservoirs, that makes the river monitoring a very relevant activity today. While southern Brazil has suffered with a low river levels, the opposite has ocurred in the north: big floods that have affected the local population and also the local fauna and flora. The use of SAR (synthetic aperture radar) seems appropriate for the monitoring of these rivers, as well as independence of atmospheric and lighting conditions, it has frequencies that cross the vegetation and acquires soil information below the forest. This is a factor of utmost importance since most of the time the flooding extends through the interior of the forest, making it impossible to be defined remotely by other sensors. The purpose of this work is to present a methodology capable of identifying and delimiting flooding below the forest using P-band SAR data, calculating the coherence between multitemporal images. Experimental tests were conducted using real SAR data obtained by the airborne sensor OrbiSAR-2 from Bradar in the Brazilian Amazon Forest (Equatorial Rain Forest) and the results showed very good quality detections.</abstract>
		<area>SRE</area>
		<type>Monitoramento e modelagem ambiental</type>
		<language>pt</language>
		<targetfile>59856.pdf</targetfile>
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