Atualização de Documento

XVI SBSR

Formulário de atualização

O sistema de atualização, para eventuais correções, estará ativo até 10/6/2013.

Contato: bibdigital@inpe.br


Nome do Campo		Valor do Campo
Tipo de Referência		Artigo em Evento (Conference Proceedings)
Título do Trabalho	(*)(?)
	Não esqueça de clicar na opção "+" para informar os dados dos co-autores, se tiver.		v
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Resumo	(*)(?)	Large scale agriculture and extensive cattle ranging are the main drivers of deforestation within the Amazon are responsible for 158.310 km2 of forest cover loss since 2001. Although these two activities represent significant importance within the context of land use and land cover change and their impacts on greenhouse gas emissions, there is still no adequate operational monitoring system which provides high quality data and information on land use change considering the spatial-temporal dynamics. This information is crucial for territorial planning, zonation for use and conservation, environmental monitoring, agricultural planning and agro-business among others. The objective of this study by Greenpeace was the development of a land use classification methodology for the annual land use mapping within the Amazon Biome covering the state of Mato Grosso, based on multitemporal analysis of EVI (Enhanced Vegetation Index) values derived from the MOD12Q1 product of the MODIS sensor. The classification was implemented through the construction of a decision tree based on knowledge differentiating the temporal behavior of EVI of the different land use types. Field data collection, literature analysis and medium to high resolution image interpretation were the basis for land use differentiation. The obtained results were validated and demonstrated excellent accuracies according to literature. The methodology showed to be applicable for the mapping of the principal land use types present within the study area and permits to analyze interannual transitions to increase our understanding of the land use dynamics within the Amazon biome.
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e-Mail (login)		tereza@sid.inpe.br