DocumentCode :
2335068
Title :
Simultaneous CO2 and aerosol retrieval in a vegetation fire plume using aviris hyperspectral data
Author :
Deschamps, A. ; Marion, R. ; Briottet, X. ; Foucher, P.Y. ; Lavigne, C.
Author_Institution :
DAM, CEA, Arpajon, France
fYear :
2011
fDate :
6-9 June 2011
Firstpage :
1
Lastpage :
4
Abstract :
This work aims to evaluate the benefit of simultaneously estimating aerosol properties and gas abundances to characterize a plume. Methods estimating gaseous concentrations by hyperspectral imagery generally take into account the radiative impact of aerosols by using standard models. However, in particular when studying smoke plumes, particles can sensibly differ from standard aerosols and an approximate modeling of these particles may introduce a significant bias in the gaseous concentrations estimation. In this study, we combine two methods to simultaneously retrieve CO2 concentration and aerosol optical properties in a smoke plume. The proposed framework is based on a two step algorithm. First, aerosol properties are retrieved using a Look-Up-Table (LUT) inversion approach. Then, CO2 abundance within the plume is retrieved iteratively using a spline interpolation of the ground reflectance and a Levenberg-Marquardt algorithm to optimally fit the at-sensor radiance. We applied the proposed method to an AVIRIS image of the Quinault prescribed fire. We show that estimation of aerosol properties can improve CO2 abundance retrieval inside a biomass burning plume and the robustness of the method to strong aerosol concentration.
Keywords :
aerosols; atmospheric techniques; carbon compounds; fires; geophysical image processing; smoke; splines (mathematics); table lookup; AVIRIS hyperspectral data; CO2; Levenberg-Marquardt algorithm; Look-Up-Table inversion approach; Quinault prescribed fire; aerosol retrieval; gas abundance; gaseous concentration; ground reflectance; hyperspectral imagery; radiative impact; smoke plumes; spline interpolation; vegetation fire plume; Absorption; Adaptive optics; Aerosols; Biomedical optical imaging; Estimation; Optical imaging; Optical sensors; CO2 estimation; Hyperspectral; LUT; aerosols; plume; spline interpolation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2011 3rd Workshop on
Conference_Location :
Lisbon
ISSN :
2158-6268
Print_ISBN :
978-1-4577-2202-8
Type :
conf
DOI :
10.1109/WHISPERS.2011.6080896
Filename :
6080896
Link To Document :
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