The flood monitoring information system framework based on multi-source satellite remote sensing data

In this paper, the methodology of monitoring flood using multi-source satellite sensors was put forward in order to systematically utilize advantages of each data to utmostly acquire surface flood information. Huaihe River Basin flood in the summer 2007 in China was chosen as the study case. For large-scale flood monitoring and warning, the WSF(water surface fraction) method based on passive microwave remote sensing data ASMR-E was employed to reveal soil wetness and flood patterns of the whole Huaihe River Basin; For moderate-scale food monitoring of Huaihe River mainstream, the middle spatial resolution data MODIS was used to map maximum flood extent and flood duration; For detailed flood monitoring of hardest-hit area, the Radar data RADARSAT and optical data TM with higher spatial resolution were made use of fusion analysis to estimate the losses. The results showed that comprehensive and effective use of multi-source data could give reliable early flood warning, real-time monitoring of flood development, and rapid and accurate assessment of flood losses. The information system framework of monitoring flood using multi-source satellite sensors was feasible.