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Journal of Applied Remote Sensing

Aglite lidar: calibration and retrievals of well characterized aerosols from agricultural operations using a three-wavelength elastic lidar
Author(s): Vladimir V. Zavyalov; Christian Marchant; Gail E. Bingham; Thomas D. Wilkerson; Jerry L. Hatfield; Randal S. Martin; Philip J. Silva; Kori D. Moore; Jason A. Swasey; Douglas J. Ahlstrom; Tanner Jones
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Paper Abstract

Lidar (LIght Detection And Ranging) provides the means to quantitatively evaluate the spatial and temporal variability of particulate emissions from agricultural activities. AGLITE is a three-wavelength portable scanning lidar system built at the Space Dynamic Laboratory (SDL) to measure the spatial and temporal distribution of particulate concentrations around an agricultural facility. The retrieval algorithm takes advantage of measurements taken simultaneously at three laser wavelengths (355, 532, and 1064 nm) to extract particulate optical parameters, convert these parameters to volume concentration, and estimate the particulate mass concentration of a particulate plume. The quantitative evaluation of particulate optical and physical properties from the lidar signal is complicated by the complexity of particle composition, particle size distribution, and environmental conditions such as heterogeneity of the ambient air conditions and atmospheric aerosol loading. Additional independent measurements of particulate physical and chemical properties are needed to unambiguously calibrate and validate the particulate physical properties retrieved from the lidar measurements. The calibration procedure utilizes point measurements of the particle size distribution and mass concentration to characterize the aerosol and calculate the aerosol parameters. Once calibrated, the Aglite system is able to map the spatial distribution and temporal variation of the particulate mass concentrations of aerosol fractions such as TSP, PM10, PM2.5, and PM1. This ability is of particular importance in the characterization of agricultural operations being evaluated to minimize emissions and improve efficiency, especially for mobile source activities.

Paper Details

Date Published: 1 March 2009
PDF: 21 pages
J. Appl. Remote Sens. 3(1) 033522 doi: 10.1117/1.3122363
Published in: Journal of Applied Remote Sensing Volume 3, Issue 1
Show Author Affiliations
Vladimir V. Zavyalov, Utah State Univ. (United States)
Christian Marchant, Utah State Univ. (United States)
Gail E. Bingham, Utah State Univ. (United States)
Thomas D. Wilkerson, Space Dynamics Lab. (United States)
Jerry L. Hatfield, USDA Agricultural Research Service (United States)
Randal S. Martin, Utah State Univ. (United States)
Philip J. Silva, Utah State Univ. (United States)
Kori D. Moore, Space Dynamics Lab. (United States)
Jason A. Swasey, Space Dynamics Lab. (United States)
Douglas J. Ahlstrom, Space Dynamics Lab. (United States)
Tanner Jones, Space Dynamics Lab. (United States)


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