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The understanding of intraurban space in cities requires the observation and identification of the relationship between spatial patterns for the unveiling of its contents to understand the processes involved in the production and reproduction of these spaces. Thematic land cover/land use maps and social indicators maps are commonly used to acquire information on the existing spatial patterns, they are an important data source for land planning and management, and hence, are crucial in zoning projects. This research aims to correlate intraurban land cover classification maps from the city of Marília/SP developed from high resolution satellite images using the image analysis based on objects (GEOBIA) method with the indices and social indicators of quality of life, environmental quality, education and socioeconomic level for inferences about the quality of life and socio spatial segregation in the city of Marília/SP. For the spatial distribution and processing of the quantitative and qualitative data, geoprocessing techniques were applied, through the use of a Geographic Information System, statistical techniques and remote sensing, which allowed spatial analysis of data created. The results were presented and the proposed method was demonstrated promising to be applied in updating intraurban space information to support urban planning and land management and, consequently, contribute to improving the population's quality of life. Key-words: intraurban spaces, geotechnologies, Geographic Object Based Image Analysis (GEOBIA), spatial analysis, social indicators, quality of life.

Cobertura da terra intraurbana para inferências sobre a qualidade de vida na cidade de Marília/SP