EAGER: US-Ignite: Creation of Situational Awareness for Emergency Response and Management Using Next Generation Gigabit Communication Systems

这个美国的卫星项目旨在开发和演示地理信息系统（GIS）地图和光探测和测距（LIDAR）类型成像的集成和分布，以支持应急管理。在发生紧急情况时，成功响应和恢复的一个主要障碍是区域应急管理办公室（EMO）与事件指挥部（IC）之间缺乏可操作的、及时的和可靠的信息流，然后是现场的事件响应者，以及从IC到EMO。在这些协调实体和利益相关者（诸如公用事业人员、运输管理者、卫生服务等）之间存在多种信息流。应急响应得益于各方了解与事件相关的“基本事实”。由于大数据集的大小，目前的灾害响应依赖于预先生成的静态地图与覆盖的物理符号。缺乏实时的方法来整合数据，特别是高密度的地理信息系统和图像应用程序，以满足应急反应的需要。 该项目展示了高带宽通信在紧急情况下的价值。该项目将GIS地图和LIDAR图像结合起来，并通过全球网络创新环境（GENI）提供的软件定义网络（SDN）连接按需将组合数据传输到公共安全办公室，以实现性能和授权。利用增强数据进行的几次公共安全培训活动将展示该系统的实用性。

This US Ignite project aims to develop and demonstrate the integration and distribution of Geographic Information Systems (GIS) maps and Light Detection And Ranging (LIDAR) type imaging in support of emergency management. A major stumbling block for successful response and recovery in the event of an emergency is the lack of actionable, timely and reliable information flows between the regional emergency management office (EMO) to the incident command (IC) and then to incident responders in the field and from the IC to the EMO. There are multiple informational flows between these coordinating entities and stakeholders such as utility crews, transportation managers, health services and the like. Emergency response benefits from having all parties aware of the "ground truth" associated with the incident. Because of large data set sizes, current disaster response relies on pre-generated static maps with overlaid physical notations. There is a lack of real-time method to integrate data, particularly high density GIS and image applications for emergency response needs. This project shows the value of high-bandwidth communications in emergencies.The project combines GIS maps and LIDAR imagery and transmits the combined data to public safety offices via on-demand, Global Environment for Network Innovations (GENI)-provided Software Defined Network (SDN) connections for performance and authorization reasons. Several public safety training exercises using the enhanced data will provide demonstrations of the system's usefulness.