无人机遥感数据驱动下的滑坡动态可视化方法研究

It is difficult to obtain data for traditional landslide simulation, and the simulated physical mechanisms are complex, which is not conducive to media publicity, enhancing public safety awareness, and rapid disaster response. The rapid development of drone technology can provide important data support for the rapid dynamic visualization of landslides. Therefore, this article intends to focus on the research of dynamic visualization of landslide disasters driven by drone remote sensing data. By discussing key technologies such as landslide feature analysis and information extraction, calculation methods of landslide processes under spatial constraint rules, and data-driven landslide visualization methods, a rapid dynamic simulation method for landslide disasters based on drone remote sensing data is proposed, and a prototype system is developed and case tests are carried out. The test results show that the research method in this article can rapidly and dynamically simulate the evolution process of landslides with the support of drone remote sensing data, and is helpful in providing important theoretical basis support for emergency disasters, media publicity, and enhancing the public's awareness of disaster risks.

传统滑坡模拟数据获取困难,模拟物理机理复杂,不利于媒体宣传、提升公众安全意识以及快速灾害应急。无人机技术的飞速发展能够为滑坡动态可视化快速提供重要的数据支撑,为此,该文拟重点开展无人机遥感数据驱动下的滑坡灾害动态可视化研究,通过探讨滑坡特征分析与信息提取、空间约束规则下的滑坡过程计算方法、数据驱动的滑坡可视化方法等关键技术,提出了基于无人机遥感数据的滑坡灾害快速动态模拟方法,研发了原型系统并进行案例试验。试验结果表明,该文的研究方法在无人机遥感数据支持下能够快速动态模拟滑坡演进过程,有助于为应急灾害、媒体宣传以及提升公众灾害风险意识提供重要的理论依据支撑。