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		<isbn>978-85-17-00059-1</isbn>
		<citationkey>AlvesAlveFlorPere:2012:ChLaUs</citationkey>
		<title>Characterizing land use and cover change and sugar cane expansion using TM data, EVI2-MODIS and object-based image analysis</title>
		<format>On-line.</format>
		<year>2012</year>
		<secondarytype>PRE CI</secondarytype>
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		<author>Alves, Claudia Durand,</author>
		<author>Alves, Diógenes Salas,</author>
		<author>Florenzano, Teresa Gallotti,</author>
		<author>Pereira, Madalena Niero,</author>
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		<group>DSR-OBT-INPE-MCTI-GOV-BR</group>
		<group>DPI-OBT-INPE-MCTI-GOV-BR</group>
		<group>DSR-OBT-INPE-MCTI-GOV-BR</group>
		<group>DSR-OBT-INPE-MCTI-GOV-BR</group>
		<affiliation>undefined</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<electronicmailaddress>durand@dsr.inpe.br</electronicmailaddress>
		<electronicmailaddress>dalves@dpi.inpe.br</electronicmailaddress>
		<electronicmailaddress>teresa@dsr.inpe.br</electronicmailaddress>
		<electronicmailaddress>madalena@dsr.inpe.br</electronicmailaddress>
		<editor>Feitosa, Raul Queiroz,</editor>
		<editor>Costa, Gilson Alexandre Ostwald Pedro da,</editor>
		<editor>Almeida, Cláudia Maria de,</editor>
		<editor>Fonseca, Leila Maria Garcia,</editor>
		<editor>Kux, Hermann Johann Heinrich,</editor>
		<e-mailaddress>wanderf@dsr.inpe.br</e-mailaddress>
		<conferencename>International Conference on Geographic Object-Based Image Analysis, 4 (GEOBIA).</conferencename>
		<conferencelocation>Rio de Janeiro</conferencelocation>
		<date>May 7-9, 2012</date>
		<publisher>Instituto Nacional de Pesquisas Espaciais (INPE)</publisher>
		<publisheraddress>São José dos Campos</publisheraddress>
		<pages>628-633</pages>
		<booktitle>Proceedings</booktitle>
		<organization>Instituto Nacional de Pesquisas Espaciais (INPE)</organization>
		<transferableflag>1</transferableflag>
		<keywords>land use/cover change, TM data, EVI2-MODIS, sugar cane, object-based classification.</keywords>
		<abstract>Land use/cover change (LUCC) is a cross-disciplinary research field in which remote sensing and geographic information systems (GIS) techniques have played an important role. Sugar cane expansion is one of the most important LUCC processes in Brazil,whose expansion has been monitored since the early 2000 within the framework of INPEs CANASAT project. In this work, a methodology is proposed to investigate land use/cover changes in a region of sugar cane expansion based on integrating CANASAT maps, remote sensing data and agricultural statistics in a GIS, and assess, in particular, which land use/cover classes are converted to give place to sugar cane expansion in the 2003-2009 period. The area under study is the municipality of Barretos (São Paulo State), which suffered a strong expansion of sugar cane culture during the 2003-2009 period of study, accompanied by a 46% reduction in pasture areas, and a 40% increase in cattle. A land use/ cover map for the year of 2003 was produced based on Landsat Thematic Mapper (TM) , and MODIS EVI2 yearly maximum and time series; high spatial resolution images, available at Google Earth were also used. Two methods of classification were compared: a pixel-based automatic supervised classification using the SPRING software; and an object-based image analysis algorithm using Definiens software. The mapping evaluation was carried out by random points sampling verified by visual interpretation. The classifications using the object-based image analysis performed better than those executed by traditional pixel-based approach, and these methods resulted in Kappa indices of 0.68 and 0.47, respectively. Using the EVI2-MODIS time series was of fundamental importance for the discrimination among land use/cover classes.</abstract>
		<area>SRE</area>
		<subject>Classification</subject>
		<session>Classification</session>
		<type>Classification</type>
		<language>en</language>
		<targetfile>173.pdf</targetfile>
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