TA581 : Evaluation the quality of road pavement using satellite imagery ( Case Study: Shahroud – Sabzevar Road )
Thesis > Central Library of Shahrood University > Civil & Architectural Engineering > MSc > 2020
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Abstarct: Forecasting the construction and repair of asphalt roads has long been one of the most important issues in the government budget. In pavement and infrastructure management, one of the goals of managers is to identify problems for the use of preventive measures and early rehabilitation in a timely manner. Many studies and experiences of organizations have shown that early detection of problems with preventive measures increases working life and reduces road maintenance costs. The performance of the transportation system mainly depends on its physical condition and includes its assets. Therefore, maintaining existing assets and maintaining the transportation system at a stable level is very important. The most important natural and human factors from asphalt damage, Asphalt age, oxidation, temperature, traffic loads and properties of PVC asphalt materials and the composition and age of the asphalt surface. The change in pavement quality is accompanied by a change in its chemical composition due to oxygen uptake; Enlargement of bitumen polymers and evaporation of light bitumen solvents occur, so in this study by examining satellite images, calculating their response spectrum for flexible asphalt pavements and comparing them with the actual quality of pavement, failure prediction and pavement life through Image processing is done.
The target area is Sabzevar city and 35 km from Sabzevar-Shahroud Asian highway. This region has a hot, dry and continental climate. Initially, after field inspections and calculations of failure indicators for the desired road with the help of satellite data and latitude and longitude of the studied samples, the desired route line is formed. The Sentinel 2 satellite photo archive is used as a reference due to its relatively high resolution, availability and availability. Bands B2, B3, B4 and 8B have been selected due to their 10-meter bandwidth and resolution of between 440 and 900 nm close to the asphalt response spectrum. Taken and compared with the failure index and pavement age. From the analysis of the results, the correlation between the outputs of the B8 band and the failure index and the correlation between B2, B3, and 8 B and AGE are observed.
Keywords:
#Asphalt pavement #Pavement management system #GIS #Sample units #Pavement failure index #Image processing #Wavelength #Sentinel Keeping place: Central Library of Shahrood University
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