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		<isbn>978-85-17-00088-1</isbn>
		<label>59894</label>
		<citationkey>SousaSouMatSilDua:2017:ExAuLi</citationkey>
		<title>Extração automática de linhas de costa aplicada ao monitoramento de processos de erosão costeira</title>
		<format>Internet</format>
		<year>2017</year>
		<secondarytype>PRE CN</secondarytype>
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		<size>649 KiB</size>
		<author>Sousa, Willamys Rangel Nunes de,</author>
		<author>Souto, Michael Vandesteen Silva,</author>
		<author>Matos, Stefanny Soares,</author>
		<author>Silva Neto, Cláudio Ângelo da,</author>
		<author>Duarte, Cynthia Romariz,</author>
		<electronicmailaddress>rangelnunes@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>6423-6429</pages>
		<booktitle>Anais</booktitle>
		<organization>Instituto Nacional de Pesquisas Espaciais (INPE)</organization>
		<transferableflag>1</transferableflag>
		<abstract>Coastal erosion has been considered a global issue which impacts approximately 70% the shore regions on Earth. It causes environmental problems, affecting biodiversity, social problems, including property loss, and infrastructure damage, wasting  millions of economic resources annually. Therefore, coastal erosion is a key concept that needs to be monitored and investigated. Remote sensing techniques and geographic information systems (GIS) have been vastly used in studies that evaluate land use changes in space and time being testified as extremely efficient approaches. Thus, remote sensing techniques and geoprocessing tools are powerful ways to obtain information continuously and dynamically for coastal regions in different levels and scales. In this context, the main objective of this study was to evaluate changes that occurred on the shoreline of Icapuí, a municipality in the state of Ceará, creating a time-series using Landsat data from 1990 to 2015. Additionally, Digital Image Processing techniques were applied and the Modified Normalized Difference Water Index (MNDWI) was extracted to enhance the difference between pixel values for land and water. Through the use of those procedures and Python libraries, it was possible to extract automatically the shoreline for each year and then execute a dynamic analysis of the region for the past 25 years. Finally, the results showed that during the years, Icapuí in fact suffered significative modifications in its shoreline.</abstract>
		<area>SRE</area>
		<type>Processamento de imagens</type>
		<language>pt</language>
		<targetfile>59894.pdf</targetfile>
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