Dr. Gary G. Gimmestad
Principal Research Scientist Emeritus
SPIE Involvement:
Track Chair | Author | Instructor
Publications (37)

Proceedings Article | 10 May 2018
Proc. SPIE. 10636, Laser Radar Technology and Applications XXIII
KEYWORDS: Sun, Backscatter, LIDAR, Aerosols, Clouds, Optical testing, Photometry, Atmospheric particles, Atmospheric modeling, Atmospheric optics

Proceedings Article | 9 June 2014
Proc. SPIE. 9080, Laser Radar Technology and Applications XIX; and Atmospheric Propagation XI
KEYWORDS: Backscatter, LIDAR, Aerosols, Water, Computing systems, Receivers, Raman spectroscopy, Turbulence, Profiling, Atmospheric particles

SPIE Journal Paper | 20 September 2012
OE Vol. 51 Issue 10
KEYWORDS: LIDAR, Turbulence, Profiling, Optical turbulence, Atmospheric optics, Stars, Receivers, Optical engineering, Motion measurement, Optical simulations

Proceedings Article | 18 May 2012
Proc. SPIE. 8355, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXIII
KEYWORDS: Hyperspectral imaging, Sensors, Video, Clouds, Data acquisition, Temporal resolution, Image sensors, Turbulence, Spectral resolution, Atmospheric sensing

Proceedings Article | 7 September 2011
Proc. SPIE. 8158, Imaging Spectrometry XVI
KEYWORDS: Long wavelength infrared, Hyperspectral imaging, Safety, Detection and tracking algorithms, Data modeling, Sensors, Digital filtering, Gases, Image filtering, Algorithm development

Showing 5 of 37 publications
Conference Committee Involvement (11)
Atmospheric Propagation XIII
21 April 2016 | Baltimore, Maryland, United States
Atmospheric Propagation XII
23 April 2015 | Baltimore, Maryland, United States
Atmospheric Propagation XI
6 May 2014 | Baltimore, Maryland, 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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