Atualização de Documento

XIX SBSR

Formulário de atualização

O sistema de atualização, para eventuais correções, estará ativo até 30/11/2019.

Contato: bibdigital@inpe.br


Nome do Campo		Valor do Campo
Tipo de Referência		Artigo em Evento (Conference Proceedings)
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	Não esqueça de clicar na opção "+" para informar os dados dos co-autores, se tiver.		v
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Resumo	(*)(?)	The objective of this work is to present initial results of a new method to evaluate vegetation patterns in the Amazon rainforests based on multi-angle satellite observations. We used MODIS Enhanced Vegetation Index (EVI) data processed by MAIAC algorithm to generate anisotropy, calculated by the differences between hotspot and darkspot reflectance. We compared Anisotropy with EVI using two images (June 2008), both processed by MAIAC, to demonstrate the potential of using anisotropy for mapping vegetation structure of different forests types. We also analyzed seasonal variability between anisotropy and EVI, and compared our findings with variability of monthly water deficit for the region. Finally, we discussed the use of anisotropy to infer spatial-temporal changes in vegetation structure. The results showed larger spatial variability of anisotropy, while EVI varied only to a limited extend across the study area. The regional differences in anisotropy may therefore better represent the structural heterogeneity across forested areas in the Amazon, based on the interaction of vegetation with multi-angle scattering. Seasonal changes were more gradual when using Anisotropy compared to using EVI. This gradient transition across months is in good agreement with water deficit patterns derived from the Tropical Rainfall Measurement Mission (TRMM). Our study hypothesizes that multiangular information are useful sources to analyze structural changes in different types of forests, and may provide new opportunities to monitor tropical forests, from optical remote sensing.
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e-Mail (login)		simone