Remote Sens. 2010, 2(11), 2531-2546; doi:10.3390/rs2112531
Article

Riding Quality Model for Asphalt Pavement Monitoring Using Phase Array Type L-band Synthetic Aperture Radar (PALSAR)

Remote Sensing and Geographic Information Systems Field of Study, School of Engineering and Technology, Asian Institute of Technology, Thailand
* Author to whom correspondence should be addressed.
Received: 11 October 2010; in revised form: 30 October 2010 / Accepted: 9 November 2010 / Published: 12 November 2010
PDF Full-text Download PDF Full-Text [538 KB, uploaded 12 November 2010 09:23 CET]
Abstract: There are difficulties associated with near-real time or frequent pavement monitoring, because it is time consuming and costly. This study aimed to develop a binary logit model for the evaluation of highway riding quality, which could be used to monitor pavement conditions. The model was applied to investigate the influence of backscattering values of Phase Array type L-band Synthetic Aperture Radar (PALSAR). Training data obtained during 3–7 May 2007 was used in the development process, together with actual international roughness index (IRI) values collected along a highway in Ayutthaya province, Thailand. The analysis showed that an increase in the backscattering value in the HH or the VV polarization indicated the poor condition of the pavement surface and, of the two, the HH polarization is more suitable for developing riding quality evaluation. The model developed was applied to analyze highway number 3467, to demonstrate its capability. It was found that the assessment accuracy of the prediction of the highway level of service was 97.00%. This is a preliminary study of the proposed technique and more intensive investigation must be carried out using ALOS/PALSAR images in various seasons.
Keywords: IRI; PALSAR; flexible pavement quality evaluation; logit model

Article Statistics

Load and display the download statistics.

Citations to this Article

Cite This Article

MDPI and ACS Style

Suanpaga, W.; Yoshikazu, K. Riding Quality Model for Asphalt Pavement Monitoring Using Phase Array Type L-band Synthetic Aperture Radar (PALSAR). Remote Sens. 2010, 2, 2531-2546.

AMA Style

Suanpaga W, Yoshikazu K. Riding Quality Model for Asphalt Pavement Monitoring Using Phase Array Type L-band Synthetic Aperture Radar (PALSAR). Remote Sensing. 2010; 2(11):2531-2546.

Chicago/Turabian Style

Suanpaga, Weerakaset; Yoshikazu, Kamiya. 2010. "Riding Quality Model for Asphalt Pavement Monitoring Using Phase Array Type L-band Synthetic Aperture Radar (PALSAR)." Remote Sens. 2, no. 11: 2531-2546.

Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert