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 theinternational 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 theefficiency 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 was the highest correlation withIRI value (r = 0.90). If the backscattering value in HH polarization is increased, the roughness will be increased. After the validation process on other 100 data, the result presented high correlation at 94.00%. Therefore, it can be concluded that this model could be applied to the airport pavement maintenance.