Multi-wavelength polarized reflectance characteristics of plant canopies including atmospheric aerosol optical properties

2008 ◽  
Author(s):  
Xinli Hu ◽  
Liangfu Chen ◽  
Xingfa Gu
Keyword(s):  
Optical Properties ◽  
Atmospheric Aerosol ◽  
Aerosol Optical Properties ◽  
Plant Canopies ◽  
Multi Wavelength ◽  
Polarized Reflectance

Innovative Instrumentation for the Study of Atmospheric Aerosol Optical Properties

2018 ◽  
pp. 47-56
Author(s):  
Vera Bernardoni ◽  
Alice C. Forello ◽  
Federico Mariani ◽  
Bruno Paroli ◽  
Marco A. C. Potenza ◽  
...  
Keyword(s):  
Optical Properties ◽  
Atmospheric Aerosol ◽  
Aerosol Optical Properties

scholarly journals Real Time Derivation of Atmospheric Aerosol Optical Properties by Concurrent Measurements of Optical and Sampling Instruments

2018 ◽  
Vol 07 (02) ◽  
pp. 140-155 ◽  
Author(s):  
Jamrud Aminuddin ◽  
Shin’ichiro Okude ◽  
Nofel Lagrosas ◽  
Naohiro Manago ◽  
Hiroaki Kuze
Keyword(s):  
Optical Properties ◽  
Real Time ◽  
Atmospheric Aerosol ◽  
Aerosol Optical Properties

scholarly journals Photoacoustic and nephelometric spectroscopy of aerosol optical properties with a supercontinuum light source

2013 ◽  
Vol 6 (12) ◽  
pp. 3501-3513 ◽  
Author(s):  
N. Sharma ◽  
I. J. Arnold ◽  
H. Moosmüller ◽  
W. P. Arnott ◽  
C. Mazzoleni
Keyword(s):  
Optical Properties ◽  
Light Source ◽  
Wavelength Dependence ◽  
Common Salt ◽  
Design Development ◽  
Aerosol Optical Properties ◽  
Scattering Coefficients ◽  
Aerosol Absorption ◽  
Multi Wavelength

Abstract. A novel multi-wavelength photoacoustic-nephelometer spectrometer (SC-PNS) has been developed for the optical characterization of atmospheric aerosol particles. This instrument integrates a white light supercontinuum laser with photoacoustic and nephelometric spectroscopy to measure aerosol absorption and scattering coefficients at five wavelength bands (centered at 417, 475, 542, 607, and 675 nm). These wavelength bands are selected from the continuous spectrum of the laser (ranging from 400–2200 nm) using a set of optical interference filters. Absorption and scattering measurements on laboratory-generated aerosol samples were performed sequentially at each wavelength band. To test the instrument we measured the wavelength dependence of absorption and scattering coefficients of kerosene soot and common salt aerosols. Results were favorably compared to those obtained with a commercial 3-wavelength photoacoustic and nephelometer instrument demonstrating the utility of the SC light source for studies of aerosol optical properties at selected wavelengths. Here, we discuss instrument design, development, calibration, performance and experimental results.

scholarly journals Calibrated sky imager for aerosol optical properties determination

2008 ◽  
Vol 8 (6) ◽  
pp. 19989-20018
Author(s):  
A. Cazorla ◽  
J. E. Shields ◽  
M. E. Karr ◽  
A. Burden ◽  
F. J. Olmo ◽  
...  
Keyword(s):  
Neural Network ◽  
Optical Properties ◽  
Aerosol Optical Depth ◽  
Optical Depth ◽  
Standard Method ◽  
Atmospheric Aerosol ◽  
Aerosol Optical Properties ◽  
The Neural Network ◽  
Physical Laboratory ◽  
Sky Imager

Abstract. The calibrated ground-based sky imager developed in the Marine Physical Laboratory, the Whole Sky Imager (WSI), has been tested to determine optical properties of the atmospheric aerosol. Different neural network-based models calculate the aerosol optical depth (AOD) for three wavelengths using the radiance extracted from the principal plane of sky images from the WSI as input parameters. The models use data from a CIMEL CE318 photometer for training and validation and the wavelengths used correspond to the closest wavelengths in both instruments. The spectral dependency of the AOD, characterized by the Ångström exponent α in the interval 440–870, is also derived using the standard AERONET procedure and also with a neural network-based model using the values obtained with a CIMEL CE318. The deviations between the WSI derived AOD and the AOD retrieved by AERONET are within the nominal uncertainty assigned to the AERONET AOD calculation (±0.01), in 80% of the cases. The explanation of data variance by the model is over 92% in all cases. In the case of α, the deviation is within the uncertainty assigned to the AERONET α (±0.1) in 50% for the standard method and 84% for the neural network-based model. The explanation of data variance by the model is 63% for the standard method and 77% for the neural network-based model.

scholarly journals Detections and analyses of aerosol optical properties under different weather conditions using multi-wavelength Mie lidar

2014 ◽  
Vol 63 (24) ◽  
pp. 244206
Author(s):  
Di Hui-Ge ◽  
Hou Xiao-Long ◽  
Zhao Hu ◽  
Yan Lei-Jie ◽  
Wei Xin ◽  
...  
Keyword(s):  
Optical Properties ◽  
Weather Conditions ◽  
Aerosol Optical Properties ◽  
Multi Wavelength ◽  
Mie Lidar
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