What is on the horizon for geospatial technology – and what can we look forward to in the future? This session will focus on several exciting new techniques and technologies that are on the cutting-edge of what’s possible, and lay the groundwork for future applications.
Session moderated by Ashley Chappell, NOAA
This presentation will discuss the latest technological advances to improve accuracy and facilitate efficiency for bathymetric and water quality mapping.
Edward Albada, EOMAP USA
Sensor Fusion For Kinematic Lidar Data Acquisition with A Survey-Grade Terrestrial Laser Scanner
Automatic registration of a large number of static data sets is part of the established workflow with terrestrial laser scanners from RIEGL operated in stop-and-go data acquisition mode. The fusion of lidar data, inertial sensor data, and GNSS data with subsequent rigorous optimization with appropriate error modelling ensures coherent point clouds in regions of overlapping lidar data.
It is demonstrated that excellent data quality can be achieved with a survey-grade terrestrial laser scanner used as kinematic acquisition scanner system based on the integrated low-grade IMU by employing a multi-sensor trajectory estimation.
Dr. Martin Pfennigbauer, RIEGL
Introducing Geospatial Work, That Flows
For the longest time, airborne surveyors have grappled with planning around clear weather, finding and retaining appropriate talent for aerial operations, and having confidence that the data product collected in the field will pass the scrutiny of the QC department, and ultimately, the end user.
In addition, practitioners have pondered the ability to get immediate feedback on the quality of their collection while still in the air or in the field, and consequently how to achieve a faster deliverable turn around time. This presentation will discuss a set of solutions offered to the problems above, how geospatial technology can be better designed with a human-centric approach, and an answer to the question – how much longer until airborne surveyors can land with analysis-ready-data?
Malek Singer, Teledyne Geospatial