DocumentCode
2690757
Title
Lidar based Particulate Flux Measurements of Agricultural Field Operations
Author
Wojcik, Michael D. ; Bingham, Gail E. ; Marchant, Christopher C. ; Zavyalov, Vladimir V. ; Ahlstrom, Douglas J. ; Moore, Kori ; Wilkerson, Thomas D. ; Hipps, Larry E. ; Martin, Randal S. ; Hatfield, Jerry L. ; Prueger, John H.
Author_Institution
Space Dynamics Lab., Logan, UT
Volume
4
fYear
2008
fDate
7-11 July 2008
Abstract
In this paper, we discuss the potential of using remote sensing to map and track the evolution of emission plumes from agricultural facilities. Toward this approach, we utilize a multi-wavelength lidar (Aglite) that is real-time calibrated using a suite of standard point sensors. The Aglite lidar is a robust, agile, and easily operated system that displays emitted particulate distributions in a few seconds under most meteorological and diurnal conditions. Aglite uses three laser wavelengths in combination with information derived from an array of point sensors to distinguish between different types and sizes of particulate emissions. The resulting combination of point samplers and scanning lidar provides near real time measurements of facility operations which can be used to evaluate emission fluxes.
Keywords
aerosols; atmospheric measuring apparatus; optical radar; remote sensing by laser beam; Aglite lidar; agricultural fields; emission plume evolution; multiwavelength lidar; particulate emission; particulate flux measurement; point samplers; remote sensing; scanning lidar; Atmospheric measurements; Displays; Laser radar; Meteorology; Optical arrays; Particle measurements; Remote sensing; Robustness; Sensor arrays; Wavelength measurement; Laser radar; emission plumes; flux measurements; particulate emissions; remote sensing;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Conference_Location
Boston, MA
Print_ISBN
978-1-4244-2807-6
Electronic_ISBN
978-1-4244-2808-3
Type
conf
DOI
10.1109/IGARSS.2008.4779708
Filename
4779708
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