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		<isbn>978-85-17-00059-1</isbn>
		<citationkey>DupuyHerFeyMorTra:2012:CoObTe</citationkey>
		<title>Land-cover dynamics in Southeast Asia: Contribution of object-oriented techniques for change detection</title>
		<format>On-line.</format>
		<year>2012</year>
		<secondarytype>PRE CI</secondarytype>
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		<author>Dupuy, Stephane,</author>
		<author>Herbreteau, Vincent,</author>
		<author>Feyfant, Tristan,</author>
		<author>Morand, Serge,</author>
		<author>Tran, Annelise,</author>
		<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>217-222</pages>
		<booktitle>Proceedings</booktitle>
		<organization>Instituto Nacional de Pesquisas Espaciais (INPE)</organization>
		<transferableflag>1</transferableflag>
		<keywords>land-cover change, remote sensing, Southeast Asia, deforestation, biodiversity.</keywords>
		<abstract>Land-cover changes occur at unprecedented rates in tropical ecosystems of Southeast Asia, threatening the high biodiversity of this region. To monitor such important changes, remote sensing techniques are increasingly used at different spatial scales. In this study, we investigate land-cover changes at landscape level over a twenty-year period in seven sites located in Cambodia, Lao Peoples Democratic Republic (Lao PDR) and Thailand. For each site we acquired high spatial resolution scenes from SPOT satellites at three dates from 1987 to 2008, as well as Digital Elevation Models (SPOT and SRTM DEMs). An object-oriented changes detection method was applied to the images to assess for each site i) the location and ii) the rate of land-cover changes. We also computed synthetic landscape indices from the classified objects, reflecting two main aspects of landscape ecology: fragmentation and landscape heterogeneity. The multi-temporal analysis of contrasted landscapes put into evidence the difficulty to implement a unique classification process including numerous object-related indices. Nevertheless, object-oriented classification techniques applied on SPOT imagery were appropriate to map the land-cover on the different study areas, allowing the analysis of land-cover changes. Our study highlighted different spatio-temporal patterns of land-cover changes among the study sites. According to our results, annual deforestation rates ranged from 0.65% to 1.84%, the highest changes rates being observed in Cambodia and Lao PDR. Moreover, fragmentation indices revealed disparities in the dynamics of habitat fragmentation between the three countries. Methods, results and perspectives of this work are discussed.</abstract>
		<area>SRE</area>
		<subject>Change Detection</subject>
		<session>Change Detection</session>
		<type>Change Detection</type>
		<language>en</language>
		<targetfile>063.pdf</targetfile>
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