@InProceedings{VasconcelosCostOliv:2015:EsPaBa,
author = "Vasconcelos, M{\^o}nica Alves de and Costa, Lizit Alencar da and
Oliveira, Maria Ant{\^o}nia Falc{\~a}o de",
affiliation = "{} and {} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Estudo da paisagem da Bacia Hidrogr{\'a}fica do
Tarum{\~a}-A{\c{c}}{\'u}, Manaus, Amazonas, utilizando imagens
de radar",
booktitle = "Anais...",
year = "2015",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "6459--6466",
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 = "This study aimed to analyze the landscape of the
Tarum{\~a}-A{\c{c}}u River basin using images ALOSPALSAR. For
this analysis was produced the map of land cover and use of basin,
using the digital supervised classification (maximum likelihood
algorithm) of orbital images active sensor digital ALOS/PALSAR of
the year 2007, with global accuracy of 77.47%. Landscape metrics
were used for the analysis. The elements of the landscape studied
in this work were: patch and matrix. The landscape ecology used
were the fragments-level characterization and use classes level
and coverage. The largest class of land coverage obtained was the
rain forest with 64.98%. The second largest class of land coverage
was represented by the urban area with 18.02%, followed by
agriculture and exposed soil with 9.99%. The land cover classes
with smaller percentages were secondary forest with 4.22%, and
water with 2.79% of the total area. The porosity of the matrix of
the basin was represented by 64,282 fragments. In relation to
values of mean, median and mode of the fragments the results were
similar for all classes studied, around 2. The results indicated
the potential of radar to discriminate vegetation types and
altered areas in the region, because of the need for specific
sensors to the characteristics of the Amazon.",
conference-location = "Jo{\~a}o Pessoa",
conference-year = "25-29 abr. 2015",
isbn = "978-85-17-0076-8",
label = "1403",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3JM4HSN",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM4HSN",
targetfile = "p1403.pdf",
type = "Sensoriamento remoto de microondas",
urlaccessdate = "08 maio 2024"
}