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A Geospatial Service Oriented Framework for Disaster Risk Zone Identification

机译:面向地理空间服务的灾难风险区识别框架

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Geographical mapping of disaster risk is an important task in disaster planning and preparedness. Heterogeneous data from various sources are integrated to identify regions having high probability of disasters. The nature of data and work-flow for risk assessment are however varying in nature in each scenario. In this work we propose a service oriented architecture to automate the process of disaster mapping. Open Geospatial Consortium Standards are implemented for this purpose. The framework can aid automated risk assessment under complex multi-modal disasters over large scale geospatial locations by integrating heterogeneous data sources. A Case study is presented for flood risk assessment for a coastal region in West Bengal, in Eastern India.
机译:灾害风险的地理制图是灾难规划和备灾的重要任务。整合了来自各种来源的异构数据,以识别灾难可能性高的区域。但是,每种情况下,用于风险评估的数据和工作流程的性质各不相同。在这项工作中,我们提出了一种面向服务的体系结构,以使灾难映射过程自动化。为此目的实施了开放式地理空间联盟标准。该框架可以通过集成异构数据源,在大规模地理空间位置上的复杂多模式灾难下,帮助进行自动化风险评估。提出了一个案例研究,用于评估印度东部西孟加拉邦的沿海地区的洪水风险。

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