Assessment of Concrete Degradation with Hyper-spectral Remote Sensing

ABSTRACT: This study investigates a hyper-spectral remote sensing method to assess degradation of concrete in artificial structures such as tunnels, bridges or buildings. Three different degradation processes caused by carbon dioxide (carbonation), sodium chloride (salt injury), and sulfuric acid (sulfate degradation) were examined by hyper-spectral measurement of concrete surface. The normal concrete and the degraded concrete showed clear difference in their spectra, and regression analysis also showed high correlation between the spectral signatures at specific wavelengths and the degradation characteristics including degradation depth or period.