Advances in flood risk identification and dynamic modelling based on remote sensing spatial information

Earth observation satellite remote sensing can provide reliable wide-ranging spatial information and is believed as one of the key technologies for flood risk identification and dynamic modelling. Aiming at illustrating how satellite remote sensing technology promotes flood studies, this paper reviewed the development and technical demands of flood risk identification and dynamic modelling research and analyzed the historical contribution and periodic utility of spatial remote sensing information in flood studies based on the 3-stage evolution trajectory of earth observation satellite remote sensing. Application progresses in 3 typical methods in flood studies, which are risk zoning, hydrological modelling and microwave remote sensing monitoring, respectively, have been discussed and summarized. Focuses of the future research on flood risk identification and dynamic modelling have also been pointed out, including the integration of remote sensing spatial information and model algorithms, the development and application of remote sensing algorithms and systems, the development and application of an integrated system for typical methods and the application of big data methodology and technology, in expectation of providing valuable references for improving the response capacity and risk management level of flood disasters.