Change vector analysis: detecting of areas associated with flood using Landsat TM

Change detection and analysis is a powerful application of remote sensing, in that the spectral resolution of multi-band sensors can be used to advantage in monitoring both significant and subtle land cover changes over time. In this study, the Landsat TM data was used to detect change areas affected by flood from a heavy rainfall. The study area is the Nakdong River located in the Korean peninsular. Among the several change detection techniques, change vector analysis (CVA) approach is utilized in this paper. CVA is uses any number of spectral bands from multi-date satellite data to produce change image that yield information about both the magnitude and direction of differences pixel values. And accuracy assessment was carried out with a change image produced form CVA approach.