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		<isbn>978-85-17-00088-1</isbn>
		<label>59227</label>
		<citationkey>WeckmüllerVice:2017:DeMuHí</citationkey>
		<title>Detecção de mudanças híbrida como auxílio para obtenção das trajetórias evolutivas da cobertura da terra</title>
		<format>Internet</format>
		<year>2017</year>
		<secondarytype>PRE CN</secondarytype>
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		<author>Weckmüller, Rômulo,</author>
		<author>Vicens, Raúl Sánchez,</author>
		<electronicmailaddress>weckmuller@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>964-971</pages>
		<booktitle>Anais</booktitle>
		<organization>Instituto Nacional de Pesquisas Espaciais (INPE)</organization>
		<transferableflag>1</transferableflag>
		<abstract>The need to know the history of land cover or evolutive trajectories of a landscape is critical to the decision-making bodies. This type of analysis provides knowledge landscape state, ie, if it is degraded, stable or intact, adding information to optimize land use and/or environmental planning. For this, the remote sensing is presented as an effective methodology due to the ease of obtaining historical data on large swathes of land through satellite images. Thus, this project aims to contribute on a new change detection method, by associating a pixel-based and object-based classifications (called hybrid change detection) as input to identify the evolutive trajectories of land cover. The study area corresponds to a satellite RapidEye scene, in a very dynamic area of the state of Rio de Janeiro in recent years, as a result of installation of a Petrochemical Complex (COMPERJ). Among the identified trajectories and sorted by object-oriented analysis and the use of multi-temporal descriptors, the vector transformation pasture to anthropic, called anthropization, was the most prevailing in the study area. Enhancements within the same class were also identified, notably in the anthropic class (densification of works of the petrochimical complex) and in the urban class also called urbanization (densification of domicialiares blocks).</abstract>
		<area>SRE</area>
		<type>Mudança de uso e cobertura da terra</type>
		<language>pt</language>
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