Michael Sitar
Business Manager, Airborne Mapping Solutions
Optech Incorporated
Canada

Biography
Michael Sitar is the Business Manager of Optech’s Airborne Mapping Solutions Division. A graduate of Canadore College and Nipissing University, Michael has a Master’s degree in Environmental Science and Spatial Data Analysis/Remote Sensing from the University of Waterloo, having spent much of his academic career conducting glacial research and photogrammetric analysis of glacial processes in the Canadian Rockies. With over fifteen years of lidar experience within the airborne products technical management team, Michael has previously worked for Optech as a Field Operations Coordinator, Manager of Airborne Operations, and more recently as Optech’s Airborne Products Manager, responsible for the development, promotion and sale of Optech’s airborne lidar and imaging solutions.

Abstract
New, Flexible Applications with the Multi-Spectral Titan Airborne Lidar

Co-Authors:
Ahmed Shaker Abdelrahman, Ryerson University
Brent Smith, Optech
Paul E. LaRocque, Optech

Traditional lidar designs have been restricted to using a single laser channel operating at one particular wavelength. Single-channel systems excel at collecting high-precision spatial (XYZ) data, with accuracies down to a few centimeters. However, target classification is difficult with spatial data alone, and single-wavelength systems are limited to the strengths and weaknesses of the wavelength they use. To resolve these limitations in lidar design, Optech developed the Titan, the world's first multispectral lidar system, which uses three independent laser channels operating at 532, 1064, and 1550 nm. Since Titan collects 12 bit intensity returns for each wavelength separately, users can compare how strongly targets in the survey area reflect each wavelength. Materials such as soil, rock and foliage all reflect the wavelengths differently, enabling post-processing algorithms to identify the material of targets easily and automatically. Based on field tests in Canada, automated classification algorithms have combined this with elevation data to classify targets into six basic types with 78% accuracy. Even greater accuracy is possible with further algorithm enhancement and the use of an in-sensor passive imager such as a thermal, multispectral, CIR or RGB camera. Titan therefore presents an important new tool for applications such as land-cover classification and environmental modeling while maintaining lidar's traditional strengths: high 3D accuracy and day/night operation. Multispectral channels also enable a single lidar to handle both topographic and bathymetric surveying efficiently, which previously required separate specialized lidar systems operating at different wavelengths. On land, Titan can survey efficiently from 2000 m AGL with a 900 kHz PRF (300 kHz per channel), or up to 2500 m if only the infrared 1064 and 1550 nm channels are used. Over water, the 532 nm green channel penetrates water to collect seafloor returns while the infrared channels detect the shoreline and the water surface to improve the water depth corrections. Optech tests indicate that effective water depth penetration is compatible with a Kd *Dmax product of about 1.5, enabling depths down to 15 m in clear coastal waters.