Monday 28 October, 2024
In this virtual workshop, you will fine-tune a pretrained model from the ArcGIS Living Atlas of the World collection and apply it to high-resolution imagery to efficiently detect and classify objects in ArcGIS Pro. Participants will gain hands-on experience in adjusting the deep learning model parameters to enhance its accuracy and performance for specific use cases. Additionally, you will learn advanced techniques for data preprocessing, prepare training samples, and model evaluation, ensuri...
Tuesday 29 October, 2024
How exactly does artificial intelligence work and what can you use it for in the geomatics domain? Using real-life examples from our projects, they demonstrate how you can use AI to gain new insights and increase efficiency by automating your data processing workflows.We explore how GeoAI is fusing spatial data science and Geomatics technology to help automate the extraction, classification, and analysis of all types of spatial or non-spatial data. Learn how GeoAI can detect clusters, ...
Accurate mapping of road networks is essential for navigation, disaster response, and urban planning. Traditional methods relying on remote sensing images, Lidar data, and GPS trajectories are hampered by time-consuming manual updates and incomplete extraction due to obstructions from trees, buildings, and shadows. However, recent advancements in deep learning models have shown promise in improving road mapping and automating the detection of missing roads.This study uses a transfer le...
In 2021, the Government of Canada invested $63.8M in the Flood Hazard Identification and Mapping Program (FHIMP) to to create and disseminate engineering-level flood hazard maps that can help Canadians better plan and prepare for future flood risks. The program was recently extended to 2028 through the National Adaptation Strategy and enhanced with an additional $164 Million investment.Given that many Canadians are unaware of flood hazards, the FHIMP is working to fill gaps in knowledg...
The integration of AI in infrastructure modeling has the potential to revolutionize decision-making processes by providing accurate predictions, identifying vulnerabilities, and optimizing resource utilization.The increasing complexity of modern infrastructure systems, coupled with growing demands on utilities, has necessitated the adoption of advanced analytical techniques. This panel discussion brings together ideas from acad...
Today, digital twins, autonomy and artificial intelligence (AI) dominate the lexicon of the geomatics industry. These capabilities provide significant productivity advantages to our profession, but our domain content and knowledge are critical to their success. These tools will change the way we work and transform the industry. However, they will not replace us, but rather change our role. This is no different than when the EDM, total station, CAD, or GPS became part of our professional lives...
Wednesday 30 October, 2024
Dillon was retained by the Government of Nunavut to perform a Needs Assessment for the rehabilitation of the Runway 13-31, Taxiway A (Alpha), Taxiway C (Charlie), Apron A, and Apron C of the Rankin Inlet Airport.The project included pavement rehabilitation and geotechnical investigations for Runway 13-31, which is a 6000’ x 150’ asphalt paved runway, along with Phase I ...
