%0 Conference Proceedings
%4 sid.inpe.br/iris@1912/2005/07.20.00.15
%2 sid.inpe.br/iris@1912/2005/07.20.00.15.31
%@isbn 978-85-17-00052-2
%F 6563
%T Proposta metodológica para avaliação da qualidade de vida urbana a partir de dados convencionais e de sensoriamento remoto, Sistema de Informação Geográficas (SGI) e de um banco de dados
%D 1993
%A Ceccato, Vânia Aparecida,
%A Foresti, Celina,
%A Kurkdjian, Maria de Lourdes Neves de Oliveira,
%@affiliation Universidade do Vale do Paraíba (UNIVAP). Laboratório de Geociências.
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%E Cunha, Roberto Pereira da,
%E Dias, Luiz Alberto Vieira,
%B Simpósio Brasileiro de Sensoriamento Remoto, 7 (SBSR).
%C Curitiba, BR
%8 10-14 maio 1993
%I Instituto Nacional de Pesquisas Espaciais (INPE)
%J São José dos Campos
%V 1
%P 32-39
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais
%K PLANEJAMENTO URBANO, PLANEJAMENTO REGIONAL, SISTEMAS DE INFORMACAO GEOGRAFICA, GIS, SIG, MEIO AMBIENTE, SIG, QUALIDADE DE VIDA.
%X Due to encreasing urbanization process very often associated with life quality deterioration, more efficient methods to evaluate the standard of living in brazilian cities have become necessary. Dispite aquisition, availability and reliability difficulties the intra urban conventional data (statistical data, map, etc) is still the main source of data for this type of study. Higher quality results can be obtained when combining conventional data with remote sensing data. This combination increases the generation capacity of new products containing more detailed information from urban space. The integration of a Geographi-cal Information System (GIS) to a relational database can be useful to manipulate this information. Thus allowing the generation and manipulation of new data in a flexible and accurate way by automation resources. This paper proposes a preliminary methodology of urban life quality evaluation integrating conventional data and remote sensing data by a GIS and relational database. This methodology is based on a conceptual model envolving the folowing variables: salary of urban population (income), contagious disease occurrence (health), violent crimes occurrence (criminality) and environmental variables ex-tracted from remote sensing products like vegetation density (green are as) and built space pattern (texture).
%9 Planejamento Regional e Estudos Urbanos (III ENSERPLAN)
%@language pt
%3 032-039.pdf