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Friday, November 10 • 8:30am - 9:00am
Data Fusion for High Accuracy Mapping Project

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There are many different platforms that can be used to collect data for high accuracy mapping projects. These include terrestrial LiDAR, mobile LiDAR, aerial LiDAR (fixed wing and helicopter) and traditional photogrammetry. On many occasions, no single platform can meet all of a project’s needs. Utilizing multiple acquisition platforms and technologies to secure data for a single project has proven to be a safe, cost effective and schedule friendly alternative for our transportation clients and is becoming more common. There are both advantages and disadvantages to a multiplatform approach. Some advantages include a cost savings for clients, achieving high accuracies in key locations of large project areas, and capturing a more complete coverage footprint by reduction of obscured areas. Integrating multiple technologies, the secondary collection platform often compliments and expands the coverage within areas found to be impenetrable in the primary acquisition dataset. The down side to a multiple technology approach is the challenges associated with the merging of the different data sets to create a seamless product. These can include mismatches in the calibration or alignment of the different data sets; gaps, overlaps, issues caused by different collection times; and multiple resolutions causing variations in surface models. These challenges can be overcome by upfront coordination with the design team to thoroughly understand their requirements and expectations and with well-coordinated mission planning and data collection. In this presentation, we will explore the advantages and challenges in which multiple technologies were used for a single deliverable for transportation projects.


Sonja Ellefson

Mapping Resource Manager, GPI
Sonja Ellefson the Mapping Resource Manager for GPI Geospatial in Sheboygan WI.  She is an ASPRS Certified Photogrammetrist who studied geology at MIT then went on to get her masters degree in photogrammetry and remote sensing from University College London.  She has spent over... Read More →

Friday November 10, 2017 8:30am - 9:00am PST

Attendees (3)