Dr. Gary G. Gimmestad
Instructor, Georgia Tech Professional Education
SPIE Involvement:
Track Chair | Author | Instructor
Area of Expertise:
Atmospheric lidar (laser radar) , Engineering principles for lidar systems , Lidar data analysis algorithms , Applications of lidar in atmospheric science , Lidar education
Profile Summary

Dr. Gimmestad was head of a successful lidar development team at the Georgia Tech Research Institute for 29 years. In 2012, his team won the OSA Engineering Excellence Award, for a 25-year history of making significant advances in atmospheric lidar technology.

Dr. Gimmestad developed and teaches a 3-1/2 day short course on lidar engineering annually at Georgia Tech, see https://pe.gatech.edu/courses/atmospheric-lidar-engineering. He is a world-renowned lecturer on lidar technology, having proposed and organized free lidar tutorials in conjunction with the biennial International Laser Radar Conference (ILRC). He has twice received plaques for his service to the lidar community in recognition of his teaching.

Cambridge University Press has recently published his textbook, Lidar Engineering: Introduction to Basic Principles, coauthored by D. W. Roberts, see https://cambridge.org/9780521198516. This is the first true textbook for atmospheric lidar, with worked examples and homework problems, and it is the first to address the engineering of lidar systems. It is written for advanced undergraduates.
Publications (37)

Proceedings Article | 21 September 2020 Presentation + Paper
Proceedings Volume 11531, 115310N (2020) https://doi.org/10.1117/12.2573064
KEYWORDS: Satellites, Backscatter, LIDAR, Aerosols, Statistical analysis, Head, Oceanography, Polarization, Clouds, Analytical research

Proceedings Article | 10 May 2018 Paper
Proceedings Volume 10636, 106360I (2018) https://doi.org/10.1117/12.2303731
KEYWORDS: LIDAR, Aerosols, Atmospheric particles, Backscatter, Sun, Atmospheric optics, Photometry, Atmospheric modeling, Optical testing, Clouds

Proceedings Article | 9 June 2014 Paper
D. Roberts, K. Albers, E. Brown, T. Craney, M. Hosain, R. James, N. Meraz, A. Mercer, K. Nielson, R. Ortman, T. Pool, J. Wood, J. Stewart, T. Strike, G. Gimmestad, D. Whiteman
Proceedings Volume 9080, 90801E (2014) https://doi.org/10.1117/12.2050600
KEYWORDS: LIDAR, Aerosols, Turbulence, Atmospheric particles, Raman spectroscopy, Receivers, Profiling, Water, Computing systems, Backscatter

SPIE Journal Paper | 20 September 2012
OE, Vol. 51, Issue 10, 101713, (September 2012) https://doi.org/10.1117/12.10.1117/1.OE.51.10.101713
KEYWORDS: LIDAR, Turbulence, Profiling, Optical turbulence, Atmospheric optics, Stars, Receivers, Optical engineering, Motion measurement, Optical simulations

Proceedings Article | 18 May 2012 Paper
Sarah Lane, Leanne West, Gary Gimmestad, Stanislav Kireev, William Smith, Edward Burdette, Taumi Daniels, Larry Cornman
Proceedings Volume 8355, 83550N (2012) https://doi.org/10.1117/12.919386
KEYWORDS: Clouds, Turbulence, Sensors, Hyperspectral imaging, Temporal resolution, Image sensors, Atmospheric sensing, Video, Spectral resolution, Data acquisition

Showing 5 of 37 publications
Proceedings Volume Editor (1)

SPIE Conference Volume | 21 August 2003

Conference Committee Involvement (11)
Atmospheric Propagation XIII
21 April 2016 | Baltimore, MD, United States
Atmospheric Propagation XII
23 April 2015 | Baltimore, MD, United States
Atmospheric Propagation XI
6 May 2014 | Baltimore, MD, United States
Atmospheric Propagation X
30 April 2013 | Baltimore, Maryland, United States
Atmospheric Propagation IX
25 April 2012 | Baltimore, Maryland, United States
Showing 5 of 11 Conference Committees
Course Instructor
SC1242: Atmospheric Lidar Principles and Applications
This course provides a basic working knowledge of atmospheric lidar systems with discussions of the engineering parameters of the transmitter/receiver system and the data system, along with the interactions of the laser beam with the gases and particles that make up the air. The lidar equation, which is a model of received signal versus range, is introduced along with other factors that limit the signal-to-noise ratio, and measurement methodologies and signal inversion techniques are described. Applications include chem-bio standoff detection, measuring transmittance versus range to support directed energy weapon system development, measuring concentrations of pollutants and greenhouse gases, and profiling temperature, winds, clouds, and aerosols. Example platforms include ground, airborne, and spaceborne systems.
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