Evaluation of water superficial runoff in micro surfacing treatment pavement by Digital Image Processing in remote sensing software

Abstract

The tire-pavement adherence is a major factor to minimize episodes of hydroplaning. Conventional texture assessment methodologies prove to be inefficient and unreliable, due to human intervention in the test. On the other hand, the development of new technologies has provided more agile assessments through techniques such as Digital Image Processing (DIP). In this sense, the present paper has the objective to analyze the superficial runoff of the rainwater with evaluation of the macrotexture of airport pavement through DIP. The field study was carried out at an aerodrome in the state of Ceará, Brazil, and sought correlations between the Sand Patch Test and the DIP methodology using remote sensing software (QGIS). With success rates of more than 70% according to the macrotexture classification.