DocumentCode :
3020471
Title :
Software environments for atmospheric lidar remote sensing
Author :
Sharma, Nimmi C. P. ; Parikh, Jo Ann
Author_Institution :
Dept. of Phys. & Earth Sci., Central Connecticut State Univ., New Britain, CT, USA
fYear :
2013
fDate :
21-26 July 2013
Firstpage :
9
Lastpage :
12
Abstract :
Research and training in atmospheric lidar remote sensing requires highly versatile software environments for both experimentation and analysis. Experimentation and analysis may be conducted either directly on site at the location of the lidar equipment and/or institutional computer center or remotely from a distant location. The requirements for lidar software environments depend not only on type of user access (remote or onsite) but also on the nature of the teaching or research missions they support and the characteristics of the lidar systems for which they are used. The software environments discussed in this paper have been used to support lidar aerosol studies in settings ranging from urban locations to a remote atmospheric baseline station. Experiments and data analysis studies have been conducted for two different ground-based lidar systems, a monostatic Micro Pulse Lidar system and a bistatic imaging lidar system.
Keywords :
aerosols; atmospheric measuring apparatus; data analysis; geophysics computing; optical radar; remote sensing by radar; atmospheric lidar remote sensing; atmospheric lidar remote sensing research; atmospheric lidar remote sensing training; bistatic imaging lidar system; data analysis; distant location; ground-based lidar systems; highly versatile software environments; institutional computer center location; lidar aerosol studies; lidar equipment location; lidar software environments; lidar system characteristics; lidar system support; monostatic micro pulse lidar system; onsite access; remote access; remote atmospheric baseline station; research mission nature; teaching nature; urban location setting range; user access type; Aerosols; Computers; Data analysis; Instruments; Laser radar; MATLAB; aerosols; laser radar; remote sensing software;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
ISSN :
2153-6996
Print_ISBN :
978-1-4799-1114-1
Type :
conf
DOI :
10.1109/IGARSS.2013.6721079
Filename :
6721079
Link To Document :
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