@InProceedings{FragalNovoSilv:2015:AnBaEs,
author = "Fragal, Everton Hafemann and Novo, Evlyn M{\'a}rcia Le{\~a}o de
Moraes and Silva, Thiago Sanna Freire",
affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "An{\'a}lise de bandas espectrais e {\'{\i}}ndices de
vegeta{\c{c}}{\~a}o NDVI e NBR para a reconstru{\c{c}}{\~a}o
hist{\'o}rica da altera{\c{c}}{\~a}o da floresta de v{\'a}rzea
do Baixo Amazonas atrav{\'e}s de s{\'e}rie temporal Landsat",
booktitle = "Anais...",
year = "2015",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "1975--1982",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "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.",
conference-location = "Jo{\~a}o Pessoa",
conference-year = "25-29 abr. 2015",
isbn = "978-85-17-0076-8",
label = "393",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3JM49GB",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM49GB",
targetfile = "p0393.pdf",
type = "Monitoramento e modelagem ambiental",
urlaccessdate = "03 jun. 2024"
}