Technology and Methodology |
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Approach to simulating the spatial-temporal process of flood inundation area |
ZHANG Lianchong1,2, LI Guoqing1,3, YU Wenyang1,3, RAN Quan1,2 |
1. Key Lab of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China;
2. University of Chinese Academy of Sciences, Beijing 100049, China;
3. Hainan Lab of Earth Observation, Hainan 572023, China |
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Abstract Remote sensing data, as important information for flood disaster monitoring and loss assessment, can timely obtain the spatial-temporal distribution characteristics of flood. However, as it is restricted by weather conditions, it cannot form a dynamic and continuous process data. In this study, multi-temporal GF-1 satellite remote sensing clear images were used to extract the flood extent area based on bacha breach on the Heilong River in 2013. The flood inundation process was transformed into a numerical problem of partially differential equations by level set function. Finite difference method both in space and time was used to simulate the results of daily flood inundation area from August 24 to October 8. The results show that, compared with remote sensing data, the spatial-temporal consistency and the Kappa coefficients are 0.921 2 and 0.893 2; Compared with statistic data,the relatively error is less than 10%. This method has provided a scientific basis for the decision of flood disaster emergency response without prior information.
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Keywords
multi-temporal
relative radiometric calibration
pseudo-invariant feature(PIF) method
ratio operation
regression analysis
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Issue Date: 23 January 2017
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