@InProceedings{FurtadoSilvNovo:2015:AnSaRe,
author = "Furtado, Luiz Felipe de Almeida and Silva, Thiago Sanna Freire and
Novo, Evlyn M{\'a}rcia Le{\~a}o de Moraes",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {} and
{Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "An{\'a}lise sazonal do retroespalhamento da vegeta{\c{c}}{\~a}o
da v{\'a}rzea Amaz{\^o}nica com imagens polarim{\'e}tricas de
banda C",
booktitle = "Anais...",
year = "2015",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "2055--2062",
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 analyzed seasonal changes in backscattering response and phase
difference for main vegetation types in the Amazon v{\'a}rzea
(Lago Grande de Curuai, PA) using two full-polarimetric Radarsat-2
C band images from drought and flood seasons to respond two
questions: 1) Are C-band polarimetric images capable of
registering both hydrological and phenological changes in the
amazon v{\'a}rzea? 2) Which are the most effective polarimetric
attributes to quantify these sazonal changes? All PolSAR C-band
derived attributes were capable of registering hydrological
changes and phenological changes for herbaceous communities, but
further research is needed to evaluate the effects of decidual and
evergreen tree species on v{\'a}rzea forests and shrubs
formations radar backscatterings, as any notable changes were
perceived for these two classes. Freeman-Durden decomposition and
C-matrix components were the most efficient polarimetric
attributes, because of the ease of interpretation and
effectiveness in registering seasonal changes. Despite the
richness of information offered by the Cloude-Pottier
decomposition, its components are complex and interpretation can
be difficult in some situations. This paper concludes that
full-polarimetric C band SAR images can be used to map and
characterize unexplored v{\'a}rzea regions and/or associate these
changes to both dendometric and structural attributes, in order to
characterize these communities quantitatively.",
conference-location = "Jo{\~a}o Pessoa",
conference-year = "25-29 abr. 2015",
isbn = "978-85-17-0076-8",
label = "407",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3JM49JH",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM49JH",
targetfile = "p0407.pdf",
type = "Sensoriamento remoto de microondas",
urlaccessdate = "27 abr. 2024"
}