Monitoring Flood Disaster With Remotely Sensed Data From EOS/MODIS

Satellite remote sensing and monitoring is a timesaving and effective approach to obtain the temporal and spacial distribution of flood. Because it's high temporal-spacial and spectral resolution, wide scanning range and obtaining for free, the data obtained from MODIS which aboard on a serial of satellites of USA new generation Erath Observing System (EOS) has been paid a great attention by domestic and abroad experts and scholars in remote sensing field. Based on the EOS/MODIS data, the methods for flood remote sensing and the corresponding processing system are studied in order to offer effective techniques and tools for satellite remote sensing of the flood.Started with modern remote sensing physical theories, the water body's characteristics of spectrum and image in 1 to 7 wave bands of MODIS such as reflectance and absorption intensities, texture characters, chromatic aberrations, boundary definitions and garble extent among water, vegetation, soil and clouds are mainly analyzed, the effects of different models for water body identification are compared, consequently a new water body index model, CIWI— Combined Index of NDVI and MIR for Water Body Indentification, is made up. It resolves the separation of city confusional information in water identification effectively. The dynamic monitoring of two reservoirs in Guangxi province in 2005 had been carried out. The results of experiment indicate that the CIWI model has achieved anticipative effect and it can be used in flood monitoring. Identification of cloud and cloud shadow are effectively solved by screen function of interested area and correlative processing. A real-time flood monitoring system had been developed and it had been used in monitoring the flood disaster in part of Guangxi province in My of 2004 and June of 2005. Satisfied results had been achieved.The innovations of this thesis are that applications of high spectral analysis method in flood monitoring based on MODIS data, bringing forward a new water index model, CIWI, development of an operational satellite remote sensing system for onrush monitoring and achievement of flood dynamic remote sensing and monitoring.