Abstract:In order to integrate the advantages of remote-sensing data, fundamental geographic data, hydrological data, meteorological data and etc. systematically to acquire real-time flood information, a flood monitoring and assessing method based on multisource spatial data was presented. The flood event of the Huaihe River Basin in the summer of 2007 was chosen as the studycase. For large -scale flood monitoring and warning, the water and wetness fraction) method based on passive microwave remotesensing data ASMR-E, hydrological and meteorological data were presented to reveal soil wetness and flood patterns of the HuaiheRiver Basin. For moderate-scale food monitoring of the Huaihe River Basin mainstream, the middle spatial resolution data MODISwas used to map maximum flood extent and flood duration; For detailed flood monitoring of pilot area, the radar data, RADARSATand optical data, SPOT5 with higher spatial resolution were used to estimate the losses. The results show that comprehensive andeffective use of multi-source spatial data could present reliable early flood warning, real-time monitoring of flood, and rapid andaccurate assessment of flood losses.