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
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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	(*)(?)	We examined which among two vegetation spectral indexes (NDVI or NBR) and original TM and ETM+ spectral bands are more suitable to reconstruct the historical baseline of disturbance and regeneration events in floodplain forests of the Lower Amazon. We studied Landsat temporal-spectral trajectories using the LandTrendr algorithm, for the 1984-2009 period. A time series of 37 Landsat images was given as input to the pixel-based temporal segmentation algorithm present in LandTrendr. Results showed that NDVI was efficient in establishing a historical baseline of disturbance and regeneration events for the floodplain forest, due to its spectral amplitude throughout the time-series. NBR was suitable for establishing a historical baseline, but did not detected forest to water body conversion events, as there was little spectral difference between the near infrared (band 4) and mid infrared (band 7) spectral regions. The near infrared band was able identify events such 2, 4 and 6, but with less efficiency than NDVI. The red (band 3) and mid infrared (band 7) regions had little spectral variation over the 25 years analyzed, preventing correct identification of disturbance events. Based on NDVI, the amplitude of spectral values in the time-series was similar between remaining forest (event 1) and fast loss of floodplain forest by anthropogenic causes (event 3), which hindered the discrimination of these events based on temporal-spectral trajectories.
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e-Mail (login)		simone