Flood monitoring using multi-temporal AVHRR and RADARSAT imagery

Abstract

Multi-temporal NOAA AVHRR end RADARSAT images depicting flood conditions in the Nenjiang and Songhua River Basins during the summer of 1998 were used to monitor the floods and assess the damage. A knowledge-based RBFNN model was developed to extract the dynamic flooding information from AVNHRR images. To map the flooded area more accurately, three RADARSAT Scan SAR images acquired at different times were used. Threshold-based image segmentation and texture anal-ysis methods were utilized to process the SAR image, and to extract information on flooding duration and depth. This study shows that the integrated use of different remote sensing plat-forms images can provide real-time and all-weather monitor-ing of floods and provide necessary information for flooding control and disaster relief.