Abstract

Abstract. Because of the characteristics of the strong suddenness of disasters, many secondary disasters, and high requirements for response timeliness, the development of integrated disaster monitoring with space-air-ground (SAG) multi-source data is a key scientific issue to deal with natural disasters and ensure the safety of people's lives and properties. However, the existing technical methods of emergency response information extraction and collaborative monitoring and evaluation are slightly weak, and the application service capability needs to be improved. Based on the formation mechanism and evolution law of earthquake disasters, this paper studies the SAG multi-source collaborative monitoring method. Using multi-source data, we not constructed the algorithm model of disaster evolution process simulation and risk dynamic assessment, but realized rapid disaster emergency assessment and intelligent emergency decision-making. At the same time, it has developed an integrated platform for earthquake disaster monitoring and smart spatial information services, which realizes the integrated expression of elements such as rapid access to multi-source spatiotemporal information, smart service models, and disaster monitoring information. We provide a task-driven software-hardware cooperative service application. In this way, the emergency response capability of regional earthquake disasters can be improved, the development of disaster prevention, mitigation, and relief emergency industries can be accelerated, and scientific and technological support can be provided, which ensures national development.

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