Automating various land resources development and planning services using MapAki platform offered by CES

CES提供的服务将传统的模式从静态的纸质地图和数据管理中转移出来。相反，他们提供MapAki来创建和提供独特的交互式Web地图。该研究项目将尝试将多层人工智能授权服务关联起来，重新设计和重塑MapAki。首先，该项目将使用从无人机收集的最新视觉效果来生成3D模型，用于知情的土地使用规划和社区开发，以进行资源优化，维护工作和能力建设。此外，该项目将侧重于以社区为中心的数据分析支持工具（例如，多层数据搜索、生成个性化报告、热图和邻近度分析），可以通过吸引广泛的客户和增加销售，在很大程度上促进现有的服务。最后，该项目将通过基于无人机的实时视觉自动识别和预测火灾、洪水和疏散路线，为下一代911应急响应人员提供支持。 将通过这一研究项目培训一些HQP（支持EDI），这将提高北方安大略在相关研究领域的能力。

Services provided by CES move the traditional paradigm away from static paper maps and data management. Instead, they offer MapAki to create and deliver unique interactive web maps. This research project will attempt to associate multi-layered artificial intelligence empowered services to redesign and rebrand MapAki. Firstly, this project will use up-to-date visuals collected from the drones to generate 3D models for informed land use planning and development of a community for resource optimization, maintenance work, and capacity building. Furthermore, this project will focus on community-centric data analysis supporting tools (e.g., multi-layer data searches, generating personalised reports, heatmaps, and proximity analysis) that can facilitate the already existing services to a great extent by attracting a wide range of clients and increasing sales. Finally, the project will support next-generation 911 emergency responders by automating the identification and prediction of fire, flood, and evacuation routes through drone-based real-time visuals. A number of HQPs (supporting EDI) will be trained through this research project that will increase the capacity of Northern Ontario in the related research field.