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		<isbn>978-85-17-00088-1</isbn>
		<label>59374</label>
		<citationkey>SantosPinPimAlvBit:2017:ApClCh</citationkey>
		<title>The use of RapidEye images and vegetation index to discriminate mangrove and tidal flat areas: applications to climate change monitoring</title>
		<format>Internet</format>
		<year>2017</year>
		<secondarytype>PRE CN</secondarytype>
		<numberoffiles>1</numberoffiles>
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		<author>Santos, Luciana Cavalcanti Maia,</author>
		<author>Pinheiro, Marcelo Antonio Amaro,</author>
		<author>Pimenta, Camila Evelyn Rodriguez,</author>
		<author>Alves, Sabrina Leite,</author>
		<author>Bitencourt, Marisa Dantas,</author>
		<electronicmailaddress>santos.lucianacm@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>7527-7534</pages>
		<booktitle>Anais</booktitle>
		<organization>Instituto Nacional de Pesquisas Espaciais (INPE)</organization>
		<transferableflag>1</transferableflag>
		<abstract>Mangroves and tidal flats are intrinsic coastal ecosystems high venerable to impacts due to climate changes. This highlights the need for remote sensing tools and techniques to map and monitor these ecosystems.  This study investigated the potential of different vegetation index applied in RadidEye images to discriminate mangrove and tidal flats areas, and the correlation among vegetation index and structural vegetation parameters of these environments. In the present study we found that the application of qualitative and quantitative remote sensing techniques using RapidEye images are suitable tools and techniques for mapping and discriminating mangrove and tidal flats physiognomies. With the advantage of the red edge band presented by the RapidEye images, the calculation of the NDVI Red Edge showed the best result for discriminating these vegetations. We conclude that RapidEye images are potential high resolution remote sensing tools for mapping mangrove and tidal areas, thus it can be applied for monitoring spatial temporal changes in this vegetation caused by climate changes, as sea level rise, using standard range values of  NDVI Red Edge index for these physiognomies, as calculated and indicated in this study.</abstract>
		<area>SRE</area>
		<type>Sistemas marinhos costeiros</type>
		<language>pt</language>
		<targetfile>59374.pdf</targetfile>
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