FluorMOD模拟叶绿素荧光夫琅和费暗线反演算法不确定性分析
Assessing uncertainties of sun-induced chlorophyll fluorescence retrieval using Fluor MOD model
- 2015年19卷第4期 页码:594-608
纸质出版日期: 2015
DOI: 10.11834/jrs.20154053
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纸质出版日期: 2015 ,
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[1]胡姣婵,刘良云,刘新杰.FluorMOD模拟叶绿素荧光夫琅和费暗线反演算法不确定性分析[J].遥感学报,2015,19(04):594-608.
HU Jiaochan, LIU Liangyun, LIU Xinjie. Assessing uncertainties of sun-induced chlorophyll fluorescence retrieval using Fluor MOD model[J]. Journal of Remote Sensing, 2015,19(4):594-608.
目前
利用夫琅和费暗线提取叶绿素荧光的3种最常用的算法有标准FLD方法、3FLD和i FLD方法。上述3种夫琅和费暗线算法在叶绿素荧光反演中得到了广泛应用
但各算法的不确定性研究相对薄弱
尚缺乏系统的分析。因此
本文的目标是阐明氧气吸收波段叶绿素荧光反演的不确定性
优化叶绿素荧光遥感探测指标
提高叶绿素荧光反演精度。利用Fluor MOD模型
模拟不同植被冠层参数、光谱分辨率SR、信噪比SNR条件下的冠层光谱
并比较分析这3种反演方法在不同参数条件下的不确定性。结果表明:3种方法在O2-A波段的反演精度均比在O2-B波段精度高
其中
i FLD和3FLD算法的反演精度相对较高
标准FLD的反演结果较差;随着SR的下降
3种算法的反演精度均有不同程度的下降
标准FLD算法的荧光提取精度受传感器SR的影响最大;随着SNR的增大
3种算法的反演精度有不同程度的升高
i FLD算法的荧光提取精度受信噪比的影响最大。由结果可以得出
3种反演算法在不同的参数条件下有其各自的局限性和优势;利用氧气吸收波段进行叶绿素荧光反演存在诸多不确定性
不确定性主要来源于吸收线内外反射率和荧光比值的真实值与估计值的偏差
叶绿素含量是影响这种偏差的一个主导因素;传感器性能对荧光提取结果也有显著的影响。
Sun-induced chlorophyll Fluorescence signal( Fs) is related to photosynthesis and can serve as a direct indicator to monitor plant photosynthesis status. Fs is retrieved using the three most common Fraunhofer Line Depth( FLD) retrieval methods
namely
original FLD method( s FLD)
modified FLD( 3FLD)
and improved FLD( i FLD). These methods exploit spectrally narrow atmospheric oxygen absorption bands and relate Fs to the difference in absorption feature depth between fluorescensing and non-fluorescensing surfaces. However
owing to the nature of these narrow bands
Fs retrieval results depend not only on vegetation species type or environmental conditions
but also on instrument technology and processing algorithms. Thus
many uncertainties remain in different Fs retrieval algorithms that use the two oxygen absorption Fraunhofer lines at 688 nm and 760 nm. This research clarified the uncertainties in different Fs retrieval algorithms that use the two oxygen absorption Fraunhofer lines to optimize the remote sensing detection index of chlorophyll fluorescence and improve the inversion accuracy of chlorophyll fluorescence.This study employed the Fluor MOD model to simulate canopy spectra under different chlorophyll contents
Spectral Resolutions( SRs)
and Signal-to-Noise Ratios( SNRs). s FLD
3FLD
and i FLD algorithms were also used to retrieve chlorophyll fluorescence. The Fs retrieval accuracies of these three popular algorithms were investigated under different chlorophyll contents
SRs
and SNRs using the simulated spectral data by Fluor MOD model.Results are as below.( 1) All the three algorithms have higher precision in the O2-A band than in the O2-B band.( 2) In general
the s FLDs method strongly overestimates Fs
whereas 3FLD and i FLD provide an accurate estimation of Fs.( 3) In the O2-B band
i FLD method performs best when chlorophyll content is 10—40 μg / cm2
3FLD method performs best when chlorophyll content is 40—70 μg / cm2
and the s FLDs method performs Verhoef best when chlorophyll content is 70—80 μg/cm2. In the O2-A band
3FLD method always performs best in any value of chlorophyll content.( 4) SR and SNR specifications would introduce a noticeable error for retrieved Fs. SR is the dominant factor for s FLD method
whereas SNR is the dominant factor for i FLD method.In conclusion
the three algorithms have their own limitations and advantages under different parameters. Fs retrieval error results from the estimation error of the ratios of reflectance and Fs inside and outside of Fraunhofer lines
in which chlorophyll content is the most important key variable affecting the three Fs retrieval methods. Sensor performance also has a significant effect on fluorescence extraction results. Technical sensor specifications and retrieval methods cause significant variability in retrieved Fs signals. Results are intended to be one relevant component of the total uncertainty budget of Fs retrieval and must be considered in the interpretation of retrieved Fs signals.
叶绿素荧光Fluor MOD模型不确定性夫琅和费暗线叶绿素含量光谱分辨率信噪比
sun-induced chlorophyll fluorescenceFluor MODuncertaintyFraunhofer Linechlorophyll contentspectral resolutionsignal-to-noi
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