@Article{SouzaFoPaRoCoMuGo:2011:DiCoWe,
author = "Souza Filho, Pedro Walfir M. and Paradella, Waldir Renato and
Rodrigues, Suzan W. P. and Costa, Francisco R. and Mura, Jos{\'e}
Claudio and Gon{\c{c}}alves, Fabr{\'{\i}}cio D.",
affiliation = "Laborat{\'o}rio de An{\'a}lise de Imagens do Tr{\'o}pico
{\'U}mido, Instituto de Geoci{\^e}ncias, Universidade Federal do
Par{\'a}, Cidade Universit{\'a}ria 1, P.O. BOX 8608, 66075-110
Bel{\'e}m, Par{\'a}, Brazil and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {} and Universidade Federal do Par{\'a},
Faculdade de Geologia, Campus II, Folha 17, Quadra 04,
Marab{\'a}, Par{\'a}, 68503-080, Brazil and {Instituto Nacional
de Pesquisas Espaciais (INPE)} and Laborat{\'o}rio de
An{\'a}lise de Imagens do Tr{\'o}pico {\'U}mido, Instituto de
Geoci{\^e}ncias, Universidade Federal do Par{\'a}, Cidade
Universit{\'a}ria 1, P.O. BOX 8608, 66075-110 Bel{\'e}m,
Par{\'a}, Brazil",
title = "Discrimination of coastal wetland environments in the Amazon
region based on multi-polarized L-band airborne Synthetic Aperture
Radar imagery",
journal = "Estuarine, Coastal and Shelf Science",
year = "2011",
volume = "95",
number = "1",
pages = "88--98",
month = "Nov.",
note = "Setores de Atividade: Pesquisa e desenvolvimento
cient{\'{\i}}fico, Educa{\c{c}}{\~a}o.",
keywords = "SAR data, multipolarized L-band, wetlands and mangrove, Amazon
Region.",
abstract = "This study assessed the use of multi-polarized L-band images for
the identification of coastal wetland environments in the Amazon
coast region of northern Brazil. Data were acquired with a SAR
R99B sensor from the Amazon Surveillance System (SIVAM) on board a
Brazilian Air Force jet. Flights took place in the framework of
the 2005 MAPSAR simulation campaign, a German-Brazilian
feasibility study focusing on a L-band SAR satellite. Information
retrieval was based on the recognition of the interaction between
a radar signal and shallow-water morphology in intertidal areas,
coastal dunes, mangroves, marshes and the coastal plateau.
Regarding the performance of polarizations, VV was superior for
recognizing intertidal area morphology under low spring tide
conditions; HH for mapping coastal environments covered with
forest and scrub vegetation such as mangrove and vegetated dunes,
and HV was suitable for distinguishing transition zones between
mangroves and coastal plateau. The statistical results for the
classification maps expressed by kappa index and general accuracy
were 83.3% and 0.734 for the multi-polarized color composition
(R-HH, G-HV, B-VV), 80.7% and 0.694% for HH, 79.7% and 0.673% for
VV, and 77.9% and 0.645% for HV amplitude image. The results
indicate that use of multi-polarized L-band SAR is a valuable
source of information aiming at the identification and
discrimination of distinct geomorphic targets in tropical
wetlands.",
doi = "10.1016/j.ecss.2011.08.011",
url = "http://dx.doi.org/10.1016/j.ecss.2011.08.011",
issn = "0272-7714",
label = "lattes: 8338993621160610 2 Souza-FoPaRoCoMuGo:2011:DiOfCo",
language = "en",
targetfile = "pedro.pdf",
url = "http://ees.elsevier.com/ecss/",
urlaccessdate = "21 maio 2024"
}