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Proceedings Paper

Analyzing the impact of sensor characteristics on retrieval methods of solar-induced fluorescence
Author(s): Wenjuan Ding; Feng Zhao; Lizi Yang
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Paper Abstract

In this study, we evaluated the influence of retrieval algorithms and sensor characteristics, such as spectral resolution (SR) and signal to noise ratio (SNR), on the retrieval accuracy of fluorescence signal (Fs). Here Fs was retrieved by four commonly used retrieval methods, namely the original Fraunhofer Line Discriminator method (FLD), the 3 bands FLD (3FLD), the improved FLD (iFLD) and the spectral fitting method (SFM). Fs was retrieved in the oxygen A band centered at around 761nm (O2-A). We analyzed the impact of sensor characteristics on four retrieval methods based on simulated data which were generated by the model SCOPE (Soil Canopy Observation, Photochemistry and Energy fluxes), and obtained consistent conclusions when compared with experimental data. Results presented in this study indicate that both retrieval algorithms and sensor characteristics affect the retrieval accuracy of Fs. When applied to the actual measurement, we should choose the instrument with higher performance and adopt appropriate retrieval method according to measuring instruments and conditions.

Paper Details

Date Published: 10 February 2017
PDF: 5 pages
Proc. SPIE 10250, International Conference on Optical and Photonics Engineering (icOPEN 2016), 1025029 (10 February 2017); doi: 10.1117/12.2266734
Show Author Affiliations
Wenjuan Ding, BeiHang Univ. (China)
Feng Zhao, BeiHang Univ. (China)
Lizi Yang, BeiHang Univ. (China)


Published in SPIE Proceedings Vol. 10250:
International Conference on Optical and Photonics Engineering (icOPEN 2016)
Anand Krishna Asundi; Xiyan Huang; Yi Xie, Editor(s)

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