Abstract
Recently, a lot of natural disasters have occurred frequently in Asian region. Especially, the earthquake off Sumatran suffered a tremendous damage by tsunami. Ten years pass from struck respectively, and the revival had been advanced in Sumatran disaster. It is important to analyze the revival for the development of the disaster area in the future. The authors had already the satellite remote sensing in the time series by a different resolution effectively analyzed the revival situation for a long-term. However, based on the original land covering environment of the disaster area there is not enough analysis or consideration after the disaster revival about and redevelopment situation. In this study, investigated the change of land cover before the disaster using a plurality of high resolution satellite images in time series, analyzed long term changes of land cover classification about revival process. Moreover, the changings the land cover of each pixel were shown by calculating the difference of the land cover classification image at two time. As a result, it was evaluated that the restoration characteristic of the city from struck was more effective.
