@InCollection{KuxArau:2008:ObImAn,
author = "Kux, Hermann Johann heirinch and Araujo, Eduardo Henrique
Geraldi",
title = "Object-based image analysis using quicBird satellite images and
GIS data, case study Belo Horizonte (Brazil)",
booktitle = "Object-based image analysis: spatial concepts for knowledge-driven
remote sensing applications",
publisher = "Springer-Verlag",
year = "2008",
editor = "Blaschke, Th. and Lang, S. and Hay, G. J.",
pages = "571--588",
address = "Berlin",
keywords = "PLANEJAMENTO URBANO, QuickBird satellite, high-resolution
satellite data, object-based image analysis, urban planning, GIS,
Belo Horizonte.",
abstract = "Brazil, like many other developing coutritries is desmanding
modern IT tools that would allow to monitor, to analyze and to
intervene in the city planning process, Urban areas, especially
metropolitan regions like Belo Horizonte (Minas Gerais State
Capital, Brazil) are highly complex and its' diagnosis is quite
difficult. With the advent of highresolution nsatellite systems,
such as QuicBird, object, based-based image classification
tecnhiques became efficiente procedures for the analysis and
mapping of land use/land cover. This new image classification
paradigm uses context relations, hierarchy and fuzzy logic. A
multi-temporal analysis, considering also ancillary data, allows
spatial inferences gererating information to subsidize urban. In
this stydy, spatial inferences were made for two quarters of Belo
Horizonte using QuicBird ORStandard scenes from 2002 and 2004,
working with object-based image classification tecnhiques and
considering geotechnical and urban legislation data on a GIS. At
both scenes ortho-rectification was done using a rigorous models.
Following information were generated considering the growth of two
quarters (Belvededere and Buritis) in the timeframe considered: a
land use/land cover map, detection of irregular land occupation,
of areas with risks for slope slipping as well as an analysis of
potential damge to population and property.",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)}",
copyholder = "SID/SCD",
isbn = "978-3540-77057-2 and 978-3-540-77058-9",
seriestitle = "Lecture Notes in Geoinformation and Cartography",
targetfile = "KUX, Object-based image.pdf",
urlaccessdate = "20 maio 2024"
}