DocumentCode :
2468020
Title :
Full spectrum broken cloud scene simulation
Author :
Richtsmeier, Steven ; Sundberg, Robert
Author_Institution :
Spectral Sci., Inc., Burlington, MA, USA
fYear :
2010
fDate :
14-16 June 2010
Firstpage :
1
Lastpage :
4
Abstract :
This paper discusses the effects of broken cloud fields on solar illumination reaching the ground. Application of aerosol retrieval techniques in the vicinity of broken clouds leads to significant over prediction of aerosol optical depth because of the enhancement of visible illumination due to scattering of photons from clouds into clear patches. These illumination enhancement effects are simulated for a variety of broken cloud fields using the MCScene code, a high fidelity model for full optical spectrum (UV through LWIR) spectral image simulation. MCScene provides an accurate, robust, and efficient means to generate spectral scenes for algorithm validation. MCScene utilizes a Direct Simulation Monte Carlo approach for modeling 3D atmospheric radiative transfer (RT), including full treatment of molecular absorption and Rayleigh scattering, aerosol absorption and scattering, and multiple scattering and adjacency effects, as well as scattering from spatially inhomogeneous surfaces.
Keywords :
Monte Carlo methods; Rayleigh scattering; aerosols; atmospheric optics; atmospheric spectra; clouds; radiative transfer; sunlight; 3D atmospheric radiative transfer modeling; MCScene code; Rayleigh scattering; aerosol absorption; aerosol optical depth; aerosol retrieval techniques; aerosol scattering; direct simulation Monte Carlo approach; full optical spectrum; full spectrum broken cloud scene simulation; high fidelity model; illumination enhancement; molecular absorption; multiple scattering; photon scattering; solar illumination; spatially inhomogeneous surfaces; spectral image simulation; spectral scenes; visible illumination; Aerosols; Atmospheric modeling; Clouds; Optical reflection; Optical sensors; Reflectivity; Scattering; Algorithm; Infrared; Scene; Sensor; Simulation; Spectral; Visible;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2010 2nd Workshop on
Conference_Location :
Reykjavik
Print_ISBN :
978-1-4244-8906-0
Electronic_ISBN :
978-1-4244-8907-7
Type :
conf
DOI :
10.1109/WHISPERS.2010.5594832
Filename :
5594832
Link To Document :
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