Pixels and Points

Hosted by Michael O'Sullivan, VP Sales, SimActive with guest:
Veronica Fortin, Geospatial Team Lead at Flyscan Systems Inc.

Mapping critical infrastructure such as pipelines presents unique challenges where accuracy, consistency and efficiency are essential for informed decision-making. Join our guest Veronica Fortin, Geospatial Team Lead at Flyscan Systems Inc., as she shares practical strategies for delivering reliable mapping results in these demanding linear infrastructure settings. Discover how advanced photogrammetry workflows can be cross-checked against public lidar datasets to validate elevation accuracy and support streamlined project execution.

Listeners will learn about:
• Designing efficient acquisition strategies for corridor environments
• Best practices for mapping linear and critical infrastructure
• Validating elevation accuracy with public lidar datasets
• Ensuring consistent quality for planning and analysis

Hosted by Michael O'Sullivan, VP Sales, SimActive with guest:
Mohsen Miri, Director of Global Strategic Partnerships at Phase One

Mapping large areas from the air presents unique challenges from sensor selection to mission planning and managing massive volumes of data. Join Dr. Mohsen Miri, Director of Global Strategic Partnerships at Phase One, as he shares practical strategies for successfully executing large scale aerial mapping projects. Listen to this podcast session and gain real world insight into optimizing acquisition and processing workflows to ensure efficiency, accuracy and high-quality results at scale.
Specifically listeners will learn the following:
• Choosing optimal sensors & settings for large areas
• Planning efficient missions for wide coverage
• Managing data volume and quality at scale
• Building processing workflows for massive datasets

Hosted by Michael O'Sullivan, VP Sales, SimActive with guest:
Vivian Raiborde, Senior Sales Advisor at SimActive

As photogrammetry projects scale up, combining cloud computing and distributed processing with Correlator3D enables large datasets to be handled efficiently without heavy hardware investments. This webinar explores real-world workflows, performance boosts, and practical strategies for faster, high-quality mapping in large-scale projects.
Specifically listeners will learn the following:
• Running Correlator3D on cloud platforms like AWS and Azure
• Speed gains from distributed processing across multiple machines
• Dynamic scaling with cloud VMs for large projects
• Real-time monitoring and automatic task reassignment
• Cost optimization and performance best practices in the cloud

Hosted by Michael O'Sullivan, VP Sales, SimActive with guest speaker David Alamillo, Photogrammetry Specialist at SimActive

Achieving high accuracy is at the core of any successful photogrammetry project, but what does it really take to meet professional mapping standards? Join David Alamillo, photogrammetry specialist at SimActive, as he explains how to design acquisition and processing workflows that deliver dependable results. Discover practical methods to control and validate accuracy, whether through positioning systems, ground control, or lidar integration.
Specifically listeners will learn the following:
• Understanding the value of RTK/PPK
• Using GCPs vs. checkpoints
• Leveraging lidar as control
• Ensuring final quality

Hosted by Michael O'Sullivan, VP Sales at SimActive. With guest speaker Matthew Johson, Product Manager at Teledyne Geospatial.
Integrating lidar and imagery can unlock powerful insights for mapping and analysis, but what does it take to get it right? Join Matthew Johnson, Product Manager at Teledyne Geospatial, as he shares practical approaches to merging these datasets seamlessly. Learn how to optimize acquisition strategies, achieve reliable registration, and generate high-quality outputs that maximize the value of data.
Specifically listeners will learn the following:• Choosing between simultaneous vs. separate acquisition
• Ensuring accurate registration between datasets
• Colorizing point clouds and generate orthomosaics
• Quantifying the accuracy of results