Supporting Natural Hazards Management With Geospatial Technologies

Diana Mitsova
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Abstract

On a global scale, natural disasters continue to inflict a heavy toll on communities and to pose challenges that either persist or amplify in complexity and scale. There is a need for flexible and adaptive solutions that can bridge collaborative efforts among public agencies, private and nonprofit organizations, and communities. The ability to explore and analyze spatial data, solve problems, visualize, and communicate outcomes to support the collaborative efforts and decision-making processes of a broad range of stakeholders is critical in natural hazards and disaster management. The adoption of geospatial technologies has long been at the core of natural hazards risk assessment, linking existing technologies in GIS (geographic information system) with spatial analytical techniques and modeling. Practice and research have shown that though risk-reduction strategies and the mobilization of disaster-response resources depend on integrating governance into the process of building disaster resilience, the implementation of such strategies is best informed by accurate spatial data acquisition, fast processing, analysis, and integration with other informational resources. In recent years, new and accessible sources and types of data have greatly enhanced the ability of practitioners and researchers to develop approaches that support rapid and efficient disaster response, including forecasting, early warning systems, and damage assessments. Innovations in geospatial technologies, including remote sensing, real-time Web applications, and distributed Web-based GIS services, feature platforms for systematizing and sharing data, maps, applications, and analytics. Distributed GIS offers enormous opportunities to strengthen collaboration and improve communication and efficiency by enabling agencies and end users to connect and interact with remotely located information products, apps, and services. Newer developments in geospatial technologies include real-time data management and unmanned aircraft systems (UAS), which help organizations make rapid assessments and facilitate the decision-making process in disasters.
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利用地理空间技术支持自然灾害管理
在全球范围内,自然灾害继续给社区造成重大损失,并构成挑战,这些挑战的复杂性和规模要么持续存在,要么扩大。需要灵活和适应性的解决方案,以便在公共机构、私人和非营利组织以及社区之间架起协作努力的桥梁。探索和分析空间数据、解决问题、可视化和交流结果的能力,以支持广泛利益相关者的协作努力和决策过程,在自然灾害和灾害管理中至关重要。地理空间技术的采用长期以来一直是自然灾害风险评估的核心,将地理信息系统(GIS)中的现有技术与空间分析技术和建模联系起来。实践和研究表明,尽管降低风险战略和动员灾害应对资源取决于将治理纳入建设抗灾能力的过程,但通过准确的空间数据获取、快速处理、分析以及与其他信息资源的整合,这些战略的实施是最好的。近年来,新的和可获取的数据来源和类型大大提高了从业人员和研究人员开发支持快速有效的灾害响应方法的能力,包括预测、预警系统和损害评估。地理空间技术的创新,包括遥感、实时Web应用和分布式基于Web的GIS服务,以系统化和共享数据、地图、应用和分析的平台为特征。分布式地理信息系统通过使机构和最终用户能够与远程定位的信息产品、应用程序和服务进行连接和交互,为加强协作、改善沟通和效率提供了巨大的机会。地理空间技术的最新发展包括实时数据管理和无人驾驶飞机系统(UAS),这有助于组织在灾害中进行快速评估和促进决策过程。
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