Pixels and Points

• Episode #41 Managing Large Photogrammetry Projects Simultaneously: Can It Be Done?

  Hosted by Michael O'Sullivan, VP Sales at SimActive. with guest speaker, Pradipta Mahapatra, Founding Member and Delivery Manager at Impulsions LaserCurious how production shops handle several projects at once? Join our guest speaker, Pradipta Mahapatra at Impulsions Laser, as he shares proven strategies for delivering geospatial data to multiple clients efficiently. Learn practical techniques to streamline photogrammetric workflows and ensure quality results.Specifically listeners will learn the following:- Understanding input data- Creating a scalable workflow- Processing large image datasets- Ensuring high-quality outputs

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• Episode #40 Mapping With Drones: How Quickly Can You Do It?

  Hosted by David Alamillo, Photogrammetry Specialist at SimActive with guest speakers Mark Bickel, UAV Department Manager at SurvTech Solutions and Marcos Bayuelo, SVP Product & Growth at Wingtra.Explore the power of rapid drone mapping in this podcast session, featuring expert insights from Survtech, Wingtra and SimActive. Discover how to optimize your workflow to produce high-quality map products like elevation models and orthomosaics in record time. This session will offer practical tips for drone operators to enhance efficiency and achieve professional results with ease.Specifically, listeners will learn about the following: • Choosing the right tools for mapping • Planning effective data acquisition• Streamlining processing for fast turnaround • Mastering photogrammetry best practices

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• Episode #39 Does Better Positioning Really Improve Mapping Accuracy

  Hosted by Eric Andelin CP, Senior Workflow Advisor at SimActive. With guest speaker, Mohamed M. R. Mustafa, Lead Technical Authority - Mobile Mapping at Trimble Applanix. High-accuracy positioning systems, such as those developed by Applanix, are crucial for ensuring the quality of large-scale mapping projects utilizing new sensors and multi-sensor systems. When integrated into the aerial triangulation process, these systems assist photogrammetry software such as Correlator3D in generating high-quality map products like digital elevation models, orthomosaics, and 3D models.Dr. Mohammed Mostafa, a technology expert in positioning systems, understands the complexities of integration with multiple sensor systems for mapping and 3D model creation. These positioning systems also offer a direct georeferencing option when a targeting approach using ground control is not a viable option. Dr. Mostafa joins us to share his expertise in these technologies and how Correlator3D enables optimal outcomes.Specifically listeners will learn the following: • Choosing the right positioning systems• Understanding their integration with sensors• Importing positional data into Correlator3D • Quantifying achievable accuracies

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• Episode #38 Is Photogrammetry as Good as Lidar?

  Hosted by Eric Andelin CP, Senior Workflow Advisor, SimActive with Guest David Alamillo, Photogrammetry Specialist with SimActive. The two primary technologies for mapping are photogrammetry and lidar. While lidar mapping is the newer of the two, does it necessarily mean it is better? The complexity of lidar lies in all the ancillary technology required to create a viable output, whereas photogrammetry needs no additional technology remaining the simpler of the two. This prompts the question of whether established technologies like photogrammetry remain a practical solution for many mapping scenarios.Specifically, listeners will learn the following: • Choosing the right sensor• Preparing the project for processing• Measuring accuracy • Merging technologies to improve results

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• Episode #37 Creating 3D Models From Point Clouds With New Correlator3D Version 10.4

  Hosted by Eric Andelin CP, Senior Workflow Advisor, SimActive with guest speaker, Alamillo, Photogrammetry Specialist, SimActivePodcast AnnouncementWith the rise of multi-camera sensors capturing both nadir and oblique imagery, 3D models are becoming a more accessible output. The ability to collect data with multiple looks at the ground allows for the creation of very dense point clouds. These point clouds can then be used as a basis to create 3D models having the form of texturized meshes. Correlator3D version 10.4 adds improved 3D modeling capabilities and was designed to be compatible with future modeling industry improvements. Input data consists of imagery along with point clouds generated from either photogrammetry or lidar. This gives the user more flexibility from the start and potential time savings in processing. Guest David Alamillo joins us to discuss the best practices when creating 3D models in Correlator3D. Specifically, listeners will learn the following: • Understanding the optimal sensors for 3D modeling• Generating the best point cloud possible from imagery• Performing triangulation to generate a texturized mesh• Using lidar point clouds for modeling rather than photogrammetry

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