Pixels and Points

Hosted by Michael O'Sullivan, VP Sales at SimActive with guest:
Don Cummins, President of Air Data Solutions (ADS)

Mapping remote and environmentally sensitive locations presents unique operational and technical challenges: from mission planning and airspace coordination to capturing high resolution imagery in difficult terrain. Join Don Cummins of Air Data Solutions (ADS) as he explains how aerial surveys of Kaula Island in Hawaii were conducted to support U.S. Navy environmental monitoring, using advanced sensors and photogrammetric processing with Correlator3D.
Listeners will learn about:
• Planning aerial missions in remote and restricted airspace
• Capturing high resolution imagery for wildlife monitoring
• Managing complex aerial operations and sensor systems
• Processing large datasets to generate accurate environmental insights

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

Gaussian splatting is the new buzzword everyone is discussing in photogrammetry and mapping. It enables photorealistic 3D views with exceptional detail and smooth rendering. During this podcast episode, our photogrammetry specialist, David Alamillo, demonstrates the new Correlator3D version 11 that introduces tools for generating, visualizing, editing and sharing Gaussian splats. He also explain how to collect suitable data for high-quality results and explore practical applications in mapping projects.

Listeners will learn about:
• Planning data acquisition for optimal splats
• Generating splats with new Correlator3D version 11
• Visualizing, editing and sharing splats
• Exploring applications and real-world use cases

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