REMOTE SENSING AS AN ALTERNATIVE STRATEGY FOR DISTRIBUTION AND MEASUREMENT OF THE POPULATION - CASE STUDY IN THE MUNICIPALITY OF RIO DE JANEIRO

Abstract

The heterogeneities of the political units, about the internal distribution of some variables concerns, can strongly influence the use of those data in natural units, for example, hydrographic basins. It’s very difficulty to aggregate some social and economical data in natural units, since the area units do not be equal or hierarchy. In this context we want to suggest new techniques that make easier to create spatial representations of social and economical variables in a discrete structure of representation, raster files, supported by classification of satellite images, that enables the reintegration of data in the independent units from the origin ones. The work’s propose is distribute Census variables, in Rio de Janeiro, by discrete unit (pixel), considering the different occupation intensity levels. For the development of the work is being utilized image of the satellite Landsat-7. This image suffered a classification in four occupation intensity levels and not habited areas. With this information, will be adapted and applied the model by Nogueira (2003), presented in the Symposium of Remote Sensing occurred in 2003. They will be generating maps of population variable for Rio de Janeiro. Those maps will be compared with the common ones.