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Remote Sensing Technology and Application  2018, Vol. 33 Issue (5): 956-964    DOI: 10.11873/j.issn.1004-0323.2018.5.0956
    
Model Building and Application for Monitoring and Assessing the Aging Conditions of Asphalt Road Pavementsbased on Remote Sensing Data
 Cheng Junyi,Zhang Xianfeng,Sun Quan,Zheng Xiaolan
 (Institute of Remote Sensing and GIS,Peking University,Beijing 100871,China)
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Abstract  To meet the demands in monitoring the health conditions of road pavements over a relatively large area,by means of derivative and continuum removal approaches this study analyzes the spectral features of asphalt road pavements aging degrees based on the field measurements of pavement spectra.Distinct spectral features of new and aged asphalt road pavements were observed in the wavelength regions of 400~680 nm and 860~970 nm.After that,a WorldView-2 image in Liangxiang area,Fangshan district,Beijing City were captured and the corresponding bands were used to create a Multiplication Aging Index (MAI) to reflect the aging conditions of asphalt road pavements.Comparison between the MAI and in-situ measurements of the spectra and aging conditions of the road pavements in the study area was performed,and statistical analysis was also conducted based on the Munsell brightness values collected in the field investigation.Through the contrast,the aging condition from MAI has good relevance to the in-situ measurements.Results indicate that the proposed MAI index can reflect the aging conditions well and is further used to monitor the pavement quality of the 14 road pavements in the study area.According to the evaluation,six roads in the study area need road maintenance.The research can offer a new technology for road management departments to make their road maintenance plans.
Key words:  Health index      Pavement aging      Asphalt pavement      Feature bands      WorldView-2     
Received:  10 December 2017      Published:  22 February 2019
ZTFLH:  TP 79  
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Cheng Junyi, Zhang Xianfeng, Sun Quan, Zheng Xiaolan. Model Building and Application for Monitoring and Assessing the Aging Conditions of Asphalt Road Pavementsbased on Remote Sensing Data. Remote Sensing Technology and Application, 2018, 33(5): 956-964.

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http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2018.5.0956     OR     http://www.rsta.ac.cn/EN/Y2018/V33/I5/956

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