Justin Wilkes
Sessions in which Justin Wilkes attends
martes 29 octubre, 2024
The new Canadian Hydrospatial Network (CHN) is set to replace the National Hydrographic Network (NHN) for Canada. Designed for improved use in hydrological models, the CHN is analysis ready with full-network traversing ability, and value-added attributes such as stream order. The CHN is also created from higher-resolution source data and better aligned to elevation than the NHN, where possible, and has been streamlined for production and maintenance.Work is on-going to refine methods a...
The Alberta Biodiversity Monitoring Institute (ABMI) defines human footprint as the visible alteration or conversion of native ecosystems to temporary or permanent residential, recreational, agricultural, or industrial landscapes. It also includes land that is periodically reset to earlier successional conditions by industrial activities such as forestry harvest areas and seismic lines. To monitor and map human footprint across Alberta, the ABMI, in partnership with the Alberta Human Footprin...
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...
Too often, when discussing the value proposition of geospatial data, we focus in on raw data or output products without spending a lot of time in the juicy middle of data throughputs. That is to say that modern geospatial is leaving a lot of value on the table and thus limiting our ability to good with our data by: -> Focusing too heavily on the capturing aspect of geospatial technologies;-> Ignoring or discounting analytical capabilities of geospatial technologie...
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 government of Alberta manages the production of riverine flood studies under the provincial Flood Hazard Identification Program, to assist communities in keeping Albertans safe and protecting their properties from floods. Flood maps improve public safety, support emergency management, and help us build safer and more resilient communities. The government of Alberta also manages the production of alluvial fan studies to help Albertans learn about flood risks in the steep terrain of Alberta...
The three building blocks of digital building delivery are BIM, VDC and Digital Twins. There are various definitions for these three things, but based on my experience I define them as follows:- Building Information Modelling: a model with or without 3D geometry that hosts the information about building material, dimensions, connections, forces, power, flow rates, and all other elements required in each element that forms the building. - A key subset of understanding BIM is under...
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...
Despite the rhetoric surrounding the use of building information modelling (BIM) to enhance collaboration by connecting people and data, the status quo is to work with proprietary solutions and closed file formats, limiting accessibility and interoperability. Additionally, the increasing complexity of projects in the Architecture, Engineering, Construction, and Operations (AECO) industry requires technology that integrates data at a range of scales, from asset to city, and beyond. To address ...
The integration of reality capture technologies—such as LiDAR, photogrammetry, and 3D scanning—into infrastructure asset management is revolutionizing how municipalities and organizations manage and maintain, their assets and deliver services. This presentation will explore the transformative impact of reality capture on the accuracy, efficiency, and overall effectiveness of infrastructure management practices. By enabling effective data collection and visualization, reality capture provides ...
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...
miércoles 30 octubre, 2024
Case Study: How DOTs and Utility owners took a Proactive Approach to Protect Underground Pipeline Assets Due to aging infrastructure and lack of accurate utility location information resulting in huge increased operational risk & especially at waterway, transportation, and ROW utility crossings. Utility owners understand the significant underground congestion and utility conflicts which result in future damages and the value the importance of geo location of UNLOCA...
In this year's reality capture track, we have shown you the unprecedented value of reality capture systems when adopted into high-cost, high liability and fast pace environments, some of the problems these systems are solving today, and tools to help the effectiveness and quality of those solutions. However, our presenters will also have demonstrated how critical digital lifecycle planning can be to any asset, from pre-design through construction and lifetime operation right up to demolition,...
As BIM, GIS, & Reality capture technologies begin to converge, the need for interoperability becomes ever more important and being accessible to all stakeholders. From design to construction, through handover and ownership, many different technologies are employed to create, capture, and maintain data sets. As more and more of this data is created in many different platforms and formats, the opportunity for missed information or breakdown in communication grows immensely. In this presenta...
With the increasing focus on damage prevention, public safety concerns, and environmental damage due to underground utility strikes, it has become more critical to accuracy locate, store and be able to visualize subsurface utilities. Several key technical details are discussed when implementing a subsurface mapping system from data collection to the use of machine learning for 3D modelling and visualization. The ability to make safe and effective decisions for i...