We approach urban data through the combined lenses of civil engineering and computer science giving us powerful links to real world applications and a deep understanding of the need for computational robustness and scalability.
Collect: We collect uniquely optimized, high resolution aerial LiDAR datasets supported by photogrammetry, video, multispectral, and hyperspectral imagery
Build: We build infrastructure to support efficient distributed storage, indexing, querying solutions for conjoining our unique data with data from government agencies, individual researchers, and citizen scientists
Discover: We partner to discover new solutions to urban engineering problems like infrastructure inspection, pedestrian accessibility, wind comfort analysis, building energy management, and city-scale building information modeling.
Share: We share our data, systems, and discoveries through open repositories, collaborations, and our work with students at all levels of the education system.
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