Abstract
In order to detect the flood damage of flood or tsunami, we assessed quantitatively the flood damage by calculating water occupancy in each pixel of optical satellite imagery using Spectral Mixture Analysis (SMA). We applied the SMA for flood event in Bangkok, Thailand, 2011 and compared the result of SMA and visual interpretation from IKONOS image for accuracy velidation. Additionally, we developed an estimation model for calculating the water occupancy based on satellite SAR observation, comparing backscattering coefficients of the ALOS PALSAR image and the water fraction information derived from SMA method, which is applied to the Landsat-7 ETM+ reflectance image observing the 2011 Tohoku earthquake tsunami. By using our proposed formula and SAR imagery after water-induced disasters, we can perform to estimate flooded areas easily and quantitatively.
