Webinar, October 19, 2017

Webinar

CRSS-SCT – Atlantic Chapter

REMINDER AND HYPERLINK

CRSS-SCT Atlantic Chapter webinar held today
October 19th at 2 pm Atlantic Time

https://meetnow.nscc.ca/m151LqHY04

The Polycom video conferencing system is easy to use – just click on the link or paste it into a browser. It will probably ask you to install a little plugin and you shouldn’t need administrator privileges to do that.

The webinar begins at 2 pm Atlantic Time. (I’ll start Polycom around 15 or 20 minutes early in case you’re concerned about working out technical issues).

Raymond Jahncke
raymondjahncke@gmail.com



The next CRSS-SCT webinar will be on: October 19th at 2 pm Atlantic Time

Nathan Crowell of the Applied Geomatics Research Group in Middleton, Nova Scotia, will present their recent work surveying the coast using a topographic-bathymetric lidar system.

We will send out a link to access the webinar shortly (we are using a Polycom system here – it is simple to use but please let me know if you have difficulties with this).

Those who wish to attend, please contact Raymond Jahncke at raymondjahncke@gmail.com

Abstract:

The Nova Scotia Community College Applied Geomatics Research Group (NSCC-AGRG) has been surveying coastal study areas around the Maritimes using a Leica-AHAB Chiroptera 2 (CH2) topographic-bathymetric lidar system since 2014. The CH2 is equipped with a high accuracy positioning system, two lidar sensors (515 nm, 1024 nm), and a LEICA RCD30 60 MP high-resolution digital aerial survey camera. The configuration of the CH2 allows AGRG to collect and position coincident laser survey data and high-resolution photography referenced to the same processed flight trajectory.

The AGRG has been classifying topo-bathymetric lidar point clouds using standard TerraMatch macros to produce several elevation model products. Recent advances in aerial triangulation techniques (or structure from motion) spurned from the popularity of drones have increased the efficiency and accuracy of identifying coincident pixels present within multiple overlapping images. The positions of these coincident pixels can be mapped (X, Y, Z) by understanding the internal geometry of the camera, external orientation of the platform, and distortion caused by relief and lens inaccuracies. These advances have allowed AGRG to process RCD30 photos into point clouds, similar to those produced by lidar, using Agisoft Photoscan.

This talk will demonstrate how photo point clouds can be used to supplement lidar point clouds to produce more robust and hybridized products that exploit the unique benefits of each sensor. These new products give AGRG the ability to measure and quantify complex physical features in more detail than was previously possible