ESTIMATIVE OF THE WATERPROOF AREAS FROM PORTO ALEGRE – RS NEIGHBORHOODS AS AN URBAN PLANNING STAGE

Authors

  • Frederico Carlos Martins de Menezes Filho

DOI:

https://doi.org/10.5902/2179460X11214

Keywords:

Geoprocessing, Housing density, Hard classification.

Abstract

The use of high spatial resolution satellite image for urban planning to determination of parameters related to land use as the fraction ofwaterproof areas correlating the housing density is currently a present and indispensable tool for decision makers. A short review of literaturediscusses the close relationship between population density and impermeability of the soil due to urban occupation. This close relationshiprefers to urban planning, regulatory elements of urban sprawl, as the intense waterproof surfaces directly affects the hydrological cycle byreducing the infiltration of rainwater and consequent increase in runoff, providing frequent flooding in the rainy season and floods. Thus,the quantification of waterproof areas, allows managers to actions related to public infrastructure such as transport, sanitation, health andeducation. Using high spatial resolution image (1m) of QuickBird II was obtained for 12 neighborhoods of the city of Porto Alegre-RS, thepercentage of waterproof areas and its relationship with housing density by census data. To verify the used hard classification, the study wassupported in obtaining the overall arrangement and the kappa factor, obtaining values of respectively 70 and 0.57% considered as satisfactoryfor the classification type used. From the information obtained it is clear that despite the population decline occurring in the central regionsand advance on the outskirts of the city, there was no impediment to the densification of the central nucleus with increased waterproof areas

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Published

2013-10-22

How to Cite

Menezes Filho, F. C. M. de. (2013). ESTIMATIVE OF THE WATERPROOF AREAS FROM PORTO ALEGRE – RS NEIGHBORHOODS AS AN URBAN PLANNING STAGE. Ciência E Natura, 35(1), 33–42. https://doi.org/10.5902/2179460X11214

Issue

Section

Geo-Sciences