@MastersThesis{Souza:2012:ClCoUs,
author = "Souza, Ulisses Denache Vieira",
title = "Classifica{\c{c}}{\~a}o da cobertura e do uso do solo urbano de
S{\~a}o Lu{\'{\i}}s (MA), com imagens worldview-2 utilizando
minera{\c{c}}{\~a}o de dados e o sistema interimage",
school = "Instituto Nacional de Pesquisas Espaciais (INPE)",
year = "2012",
address = "S{\~a}o Jos{\'e} dos Campos",
month = "2012-08-17",
keywords = "sensoriamento remoto, WordView-II, minera{\c{c}}{\~a}o de dados,
GEOBIA, manguezais, dunas, remote sensing, WorldView-II, data
mining, GEOBIA, mangroves, dunes.",
abstract = "As {\'a}reas urbanas caracterizam-se por ser um espa{\c{c}}o em
transforma{\c{c}}{\~a}o, din{\^a}mico e com problemas de
ordenamento e de uso e ocupa{\c{c}}{\~a}o do solo. Quando estas
{\'a}reas urbanas est{\~a}o localizadas em ambientes costeiros,
se tornam ainda mais fr{\'a}geis pela presen{\c{c}}a de
ecossistemas como os manguezais e as dunas. A
utiliza{\c{c}}{\~a}o dos dados de sensoriamento remoto aliados a
t{\'e}cnicas de minera{\c{c}}{\~a}o de dados possibilitam a
extra{\c{c}}{\~a}o autom{\'a}tica de importantes
informa{\c{c}}{\~o}es para o planejamento e a gest{\~a}o urbana
costeira. Para processamento e avalia{\c{c}}{\~a}o dos dados
provenientes de novos sensores orbitais, utiliza-se conhecimento
de GEOBIA. Neste trabalho foram utilizadas imagens do
sat{\'e}lite WorldView-2 de alta resolu{\c{c}}{\~a}o espacial,
com uma banda pancrom{\'a}tica (0,50m) e oito bandas
multiespectrais: tr{\^e}s bandas na faixa do vis{\'{\i}}vel
(\textit{red, green e blue}) e a banda do infravermelho
pr{\'o}ximo (NIR), al{\'e}m das quatro novas bandas:
\textit{coastal} (400-450 nm), \textit{yellow} (585-625 nm),
\textit{red edge} (705-745 nm) e \textit{near-infrared-2}
(860-1040 nm). O objetivo deste trabalho foi avaliar o uso dessas
imagens aliadas a t{\'e}cnicas de minera{\c{c}}{\~a}o de dados
para a classifica{\c{c}}{\~a}o de uso e cobertura do solo urbano
em {\'a}reas urbanas costeiras. Os procedimentos aplicados em
duas {\'a}reas-testes no setor norte da cidade de S{\~a}o
Lu{\'{\i}}s, Ilha do Maranh{\~a}o. Primeiramente, foi utilizado
um modelo de classifica{\c{c}}{\~a}o para as {\'a}reas-testes
que considerava somente an{\'a}lise explorat{\'o}ria a partir
das ferramentas implementadas no software InterIMAGE (Teste AI e
BI). Para compara{\c{c}}{\~a}o foi elaborado um modelo com base
nos resultados da minera{\c{c}}{\~a}o de dados por {\'a}rvore
de decis{\~a}o com um n{\'u}mero m{\'{\i}}nimo de folhas,
indicava os melhores limiares e atributos para classificar as
imagens, sendo este modelo adaptado {\`a} concep{\c{c}}{\~a}o
do software InterIMAGE (Teste AII e BII). Atrav{\'e}s de
avalia{\c{c}}{\~o}es estat{\'{\i}}sticas, foi
poss{\'{\i}}vel optar pelas classifica{\c{c}}{\~o}es com maior
precis{\~a}o que obtiveram {\'{\i}}ndices \textit{Kappa} de
0,8354 (Teste AII) e 0,8446 (Teste BII) e assim customizar os
atributos j{\'a} validados na classifica{\c{c}}{\~a}o da
cobertura do solo ao modelo para mapear o uso do solo, obtendo-se
{\'{\i}}ndices Kappa de 0,7924 ({\'A}rea A) e 0,7631 ({\'A}rea
B). ABSTRACT: Urban areas are characteristic spaces under dynamic
changes, with problems related to planning land use/land cover.
Such areas are especially fragile when they are located in coastal
regions with mangrove vegetation and dune ecosystems. Remote
sensing information and data mining techniques allow the automatic
extraction of important information for planning and urban
management issues of such areas. Data processing of the new high
resolution remote sensing satellite systems considers the GEOBIA
paradigm. In this study data from the WorldView-2 satellite were
used: bands red, green and blue in the visible spectrum and a near
infrared band. Four new bands were added in this very high
resolution sensor system, namely: coastal (400-450 nm), yellow
(585-625 nm), red edge (705-745 nm) and near-Infrared-2 (860-1040
nm). The objective of this study was to evaluate the capability of
these datasets for the classification of land use/land cover in
urban coastal areas. Two test-sites were considered at the
northern section of S{\~a}o Lu{\'{\i}}s city (Maranh{\~a}o
State, Brazil). Initially, tests were made with a classification
model, considering only those tools implemented at the InterIMAGE
classification software (Tests AI and BI). For comparison
purposes, a model was developed based on the results of data
mining by decision tree, with a minimum number of leaves, which
indicates the best thresholds and attributes to classify images.
This model was adapted to the concept of the software InterIMAGE
(Tests AII and BII). After a statistical evaluation, those
classifications with the highest Kappa indices were considered,
namely: Test AII (0.8354) and BII (0.8446). It was then possible
to customize the attributes validated earlier in the land cover
classification to the model used to map land use, obtaining
\textit{Kappa} indices of 0.7924 for area A and 0.7631 for area
B.",
committee = "Almeida, Claudia Maria de (presidente) and Kux, Hermann Johann
Heinrich (orientador) and Florenzano, Teresa Gallotti and Feitosa,
Ant{\^o}nio Cordeiro",
copyholder = "SID/SCD",
englishtitle = "Land use/land cover classification of urban area from S{\~a}o
Luis (Maranh{\~a}o state) using wordldiview-2 images, data mining
and the interimage system",
language = "pt",
pages = "132",
ibi = "8JMKD3MGP7W/3CR8EL8",
url = "http://urlib.net/ibi/8JMKD3MGP7W/3CR8EL8",
targetfile = "publicacao.pdf",
urlaccessdate = "06 maio 2024"
}