Sustainable Infrastructure

未来十年，加拿大和全球对城市基础设施建设的需求将迅速增长。这将造成对初级资源的巨大需求，加速环境退化和全球气候变化。在她的CRC计划中，Saxe教授将开发世界上第一个基于图像的基础设施材料分析数据集和新的机器学习方法，以识别街景和航拍照片中的材料使用。该项目将产生重要的新数据和方法，以了解城市建筑材料的使用情况，并对基础设施系统进行循证设计，以帮助减少资源消耗。

The next ten years will see rapid increases in Canadian and global needs for urban infrastructure construction. This will create enormous demand for primary resources, accelerating environmental degradation and global climate change. In her CRC program, Prof. Saxe will develop the world¿s first image-based infrastructure material analysis data set and new machine learning methods to recognize material use from street view and aerial photographs. This project will yield essential new data and methods for understanding construction material use in cities and evidence-based design of infrastructure systems to help moderate resource consumption.