Multi-scale region flood disaster risk remote sensing assessment method and system

Abstract

The invention relates to a multi-scale region flood disaster risk remote sensing assessment method and system. The method comprises the steps of cooperatively extracting feature information of a flood disaster water body by utilizing multi-source multi-platform remote sensing data to form space distribution data of the water body; by analyzing critical features of the flood disaster water body, and in combination with environmental factors in a historical flood disaster occurrence and development process, establishing a flood disaster long-time series data set based on the critical features of the water body; and then according to a reasoning algorithm, performing multi-scale region flood disaster risk level assessment from a disaster flooding range and a disaster loss degree to generate a space distribution result of flood disaster risk assessment. The method has a very important effect for enhancing disaster early warning, avoiding risk and the like, can reduce the loss caused by flood disasters maximally, and is an important scientific basis of performing disaster risk management and decision-making.

Description

technical field [0001] The invention relates to the technical field of natural disaster remote sensing, in particular to a multi-scale regional flood disaster risk remote sensing evaluation method and system. Background technique [0002] Flood disasters have a great impact on the entire social and economic development, seriously threatening the development of the national economy and the safety of people's lives and property. Especially in my country, the frequent occurrence of flood disasters has caused great harm to the social and economic development of our country. According to statistics, in 2016, 14 provinces (autonomous regions and municipalities) across the country suffered from heavy rains, and a total of 573 counties suffered from floods. The affected population was nearly 9 million, the affected area of ​​crops exceeded 8 million mu, and the direct economic loss exceeded 13.8 billion yuan. Facing the severe flood disaster situation, carrying out scientific flood...

AI Technical Summary

Problems solved by technology

Generally speaking, the above methods evaluate the risk of flood disasters from different angles, but they all have some shortcomings: the scenario simulation method requires relatively high data and parameters; the historical disaster method requires a large disaster sample, and the historical disaster situation and future Disaster situations cannot be completely consistent; the comprehensive index method is relatively comprehensive, practical and reasonable, but the selection of evaluation indicators is still far from mature

In addition, these methods mainly focus on the technical process of assessment, and the research mainly focuses on medium and long-term risk assessment, and there are few studies on short-term flood disaster risk.

Risk assessment methods generally regard the formation factors of flood disasters as a definite state, and seldom consider the various uncertainties, dynamic changes and system complexity of disaster-causing factors, disaster-forming environment and disaster-affected bodies in the formation process of flood disasters. Scientifically and dynamically assess the risk of the whole process of flood disaster breeding, occurrence and development

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