@InProceedings{Dal’AstaBrigAmarEsca:2011:ImAlRe,
author = "Dal’Asta, Ana Paula and Brigatti, Newton and Amaral, Silvana and
Escada, Maria Isabel Sobral",
affiliation = "{Instituto Nacional de Pesquisas Espaciais - INPE} and {Instituto
Nacional de Pesquisas Espaciais - INPE} and {Instituto Nacional de
Pesquisas Espaciais - INPE} and {Instituto Nacional de Pesquisas
Espaciais - INPE}",
title = "Imagens de alta resolu{\c{c}}{\~a}o espacial para a
caracteriza{\c{c}}{\~a}o de n{\'u}cleos urbanizados do Distrito
Florestal Sustent{\'a}vel da BR 163 – Par{\'a} – Brasil",
booktitle = "Anais...",
year = "2011",
editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio
Soares",
pages = "698--705",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 15. (SBSR).",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
keywords = "remote sensing, high-resolution imagery, urban nuclei,
sensoriamento remoto, imagens de alta resolu{\c{c}}{\~a}o,
n{\'u}cleos urbanizados.",
abstract = "Urbanization is a key issue when studying scenarios for
sustainable development for the Amazonian region. This paper
presents the potential of high-resolution imagery, CBERS/HRC in
particular, for the spatial structure identification of urban
nuclei in the west of Par{\'a}, Brazil. CBERS/HRC and CBERS/CCD
imageries were first geocoded and then combined using HIS
technique. These fusion images were used to map the general
intra-urban features by visual interpretation. Intra-urban zones
were extracted based on the shape of land features, identifying:
intensity of built areas, presence of vectors of development,
access, and communitarian structures. Ancillary data and fieldwork
information complemented and validated the urban patterns obtained
from the image digital processing. A total of 31 urban nuclei were
mapped, and grouped in four principal types: structured, recent,
established and dependent on connectivity. These types were
defined based on their urbanization level and spatial organization
obtained from high-resolution imagery, field observation, and the
historical evidences. The methodological procedure proposed in
this work can be extended to other areas, depending on the
availability of high-resolution images. This urban
characterization contributes to understand the structure and
organization of the Amazon territory, and it will be useful for
further studies to be developed in the context of Projeto
Cen{\'a}rios para Amaz{\^o}nia.",
conference-location = "Curitiba",
conference-year = "30 abr. - 5 maio 2011",
isbn = "{978-85-17-00056-0 (Internet)} and {978-85-17-00057-7 (DVD)}",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "3ERPFQRTRW/3A4DMGC",
url = "http://urlib.net/ibi/3ERPFQRTRW/3A4DMGC",
targetfile = "p0640.pdf",
type = "An{\'a}lise Urbana",
urlaccessdate = "10 maio 2024"
}