@InProceedings{AstaAmarMont:2015:AbClHí,
author = "Asta, Ana Paula Dal and Amaral, Silvana and Monteiro, Ant{\^o}nio
Miguel Vieira",
affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and
{Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Sensoriamento remoto para a caracteriza{\c{c}}{\~a}o intraurbana
de cidades Amaz{\^o}nicas: uma abordagem classificat{\'o}ria
h{\'{\i}}brida para o caso da cidade de Santar{\'e}m (PA)",
booktitle = "Anais...",
year = "2015",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "2661--2668",
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 = "Urbanization is a key issue when studying scenarios for
sustainable development for the Amazonian region. This paper
presents the potential of integrate multiresolution remote sensing
data to analyze the intra-urban space of Santar{\'e}m, western
Par{\'a} (Brazil). First, the urban spatial patterns were
identified by visual interpretation of a Landsat-TM5 image. These
patterns were then used as input to classify intra-urban land
cover of a SPOT-5 image based on object-based image analysis.
Spectral information and textural and shape characteristics of
image objects enabled to identify eight classes of land cover that
were the base for characterization the urban patterns. An overall
accuracy of 74% and a Kappa coefficient of 0.7 were obtained for
the final classification. This SPOT classification revealed
differences in the proportion of each land cover class composing
each urban pattern, complementary to the first Landsat approach.
Characterizing the intra-urban space of Amazon cities is a local
but important part of the knowledge about the structure and
organization of the Amazon urban territory. This paper provides a
general methodology that could be extended to other regions and
data sources, in order to provide useful information for urban
planning and monitoring.",
conference-location = "Jo{\~a}o Pessoa",
conference-year = "25-29 abr. 2015",
isbn = "978-85-17-0076-8",
label = "530",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3JM4A96",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM4A96",
targetfile = "p0530.pdf",
type = "Urbaniza{\c{c}}{\~a}o",
urlaccessdate = "27 abr. 2024"
}