Flood monitoring with integrated multi-source datasets based on satellite SAR coherence

Floods cause enormous economic losses and many casualties around the world each year. Decisions in relation to flood emergencies must be taken efficiently and accurately. Satellite InSAR coherence is a potential technique that is capable to meet such requirements because it is sensitive to water bodies and can cover a vast region. However, the accuracy may be still not good enough due to existence of many other InSAR decorrelation factors if flood map is only based on coherence data. Therefore, this paper proposed a method to improve the flood water detection performance by integrating multi-source datasets with coherence. A case study is also presented to demonstrate the improvement.