Elaboração de banco de dados geométricos em estradas não pavimentadas

Abstract

Unpaved roads are built without planning, sometimes, established from existing tracks, without projects. Using geoprocessing and remote sensing techniques, developed unpaved roads planialtimetric databases for geometric conditions analysis. To database road network construction, were used Landsat OLI 8 scene. For this purpose were generated RGB654 composition, being realized fusion and filtering to enable observation and vectorization of roads and carriers. After horizontal alignment elaboration, vectors were subjected to arc-node model, dividing them into segments. From altimetry data extracted by Topodata project, was obtained ramps slope and their classification. In this sense, it was found 92% sugarcane roads has steepness less than 5%, promoting sugarcane cultivation and transportation. In addition, vertical alignment enables longitudinal sections profiles analysis.