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		<label>498</label>
		<citationkey>ShimabukuroVeroBernPere:2013:AvQuPr</citationkey>
		<title>Avaliação da qualidade do produto Globcover para o Estado do Mato Grosso, Brasil, por meio de imagens do Google Earth e séries temporais de índices de vegetação derivados de imagens MODIS</title>
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		<year>2013</year>
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		<size>814 KiB</size>
		<author>Shimabukuro, Yosio Edemir,</author>
		<author>Verona, Jane Delane,</author>
		<author>Bernardes, Tiago,</author>
		<author>Pereira, Gabriel,</author>
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		<group>DSR-OBT-INPE-MCTI-GOV-BR</group>
		<group>DSR-OBT-INPE-MCTI-GOV-BR</group>
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		<group>SER-SRE-SPG-INPE-MCTI-GOV-BR</group>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation></affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<electronicmailaddress>yosio@dsr.inpe.br</electronicmailaddress>
		<editor>Epiphanio, José Carlos Neves,</editor>
		<editor>Galvão, Lênio Soares,</editor>
		<conferencename>Simpósio Brasileiro de Sensoriamento Remoto, 16 (SBSR)</conferencename>
		<conferencelocation>Foz do Iguaçu</conferencelocation>
		<date>13-18 abr. 2013</date>
		<publisher>Instituto Nacional de Pesquisas Espaciais (INPE)</publisher>
		<publisheraddress>São José dos Campos</publisheraddress>
		<pages>3486-3493</pages>
		<booktitle>Anais</booktitle>
		<organization>Instituto Nacional de Pesquisas Espaciais (INPE)</organization>
		<transferableflag>1</transferableflag>
		<abstract>Globcover is a global land cover map derived from an automated processing chain of 300m resolution MERIS time series and is provided as a major reference for applications such as climate and ecological modeling. The objective of this study was to validate the Globcover product for the State of Mato Grosso  Brazil using Google earth images and temporal profiles of MODIS derived vegetation indices as a support to validate the landcover classes. The Vegetation Map Types produced by Radam Brasil Projects was used as an auxiliary information to check the mapping product. The procedure was divided into 4 steps: i) elaborating a random set of points for each class to validate the map; ii) translating landcover classes described in the Globcover Map into landcover classes as described in Radam Brasil Project; iii) extract temporal profiles of vegetation indices concerning the main landcover classes in the State of Mato Grosso iv) interpreting Google Earth images (reference data) to check the accuracy of Globcover classes. For each of the 16 classes evaluated it was sorted random samples totaling 108 points for the whole study area. Temporal profiles of Enhanced Vegetation Index (EVI 2) were selected from the Visualization of MODIS time-series for land use and landcover change analyses tool developed at National Institute for Space Research within the concept of a Virtual Laboratory of Remote Sensing in order to describe the main land use classes. These profiles can be used to describe the behavior of mapped classes along the period previous the mapping (2000 to 2011) and give support for interpretation of the high resolution imagery by its seasonal dynamics in future mappings. The confusion matrix resulted a kappa index of 0.43 and an overall accuracy of 0.47. These values are lower than those reported on the Globcover Products Description and Validation Report. The six main classes presented about 95% of the area of Mato Grosso State. Class 14 presented the larger area with about 50% of the total mapped and producer and user accuracies of 0.67 and 0.75, respectively. Temporal profiles of EVI showed that the classes describing single land cover types are properly defined since there is a well defined pattern of EVI profile. The classes describing a mixture of land cover types, showed similar temporal profiles of EVI and could not be well discriminated.</abstract>
		<area>SRE</area>
		<type>Floresta e Vegetação</type>
		<language>pt</language>
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