Asphalt Pavement Performance Model of Airport Using Microwave Remote Sensing Satellite

The purpose of this study is to build the binary logit model of an airport pavement that could monitor the pavement condition in near real time using microwave remote sensing satellite, then the relationship between the international roughness index (IRI) of an airport and backscattering values from PALSAR images of the ALOS satellite was determined. Total 390 data were used in analysis. This model could be applied to evaluate the efficiency of the quality of running service on the airport pavement. The analysis showed that the backscattering values in the HH and HV polarization have correlated with IRI, and HH polarization wasthe highest correlation with IRI value (r = 0.90). If the backscattering value in HH polarization was increased, the roughness will be increased. After the validation process on other100 data, the result presented high correlation at 94.00%. Therefore, these can be concluded that this model could be applied to the airport pavement maintenance.