Approach to simulating the spatial-temporal process of flood inundation area

doi:10.6046/gtzyyg.2017.01.14

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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.

Keywords multi-temporal relative radiometric calibration pseudo-invariant feature(PIF) method ratio operation regression analysis

TP751.1

Issue Date: 23 January 2017

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	SHAO Yanpo
	HONG Youtang

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SHAO Yanpo,HONG Youtang. Approach to simulating the spatial-temporal process of flood inundation area[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(1): 92-96.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2017.01.14 OR https://www.gtzyyg.com/EN/Y2017/V29/I1/92

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