塔基日光诱导叶绿素荧光多反演算法对比分析

陈敬华; 邓濯缨; 饶圆艺; 胡卓然; 王绍强; 陈璇; 谷鹏; 王静

doi:10.11834/jrs.20255046

浏览量 : 0 下载量: 0 CSCD: 0

R-PDF
PDF
导出
分享
收藏
专辑

塔基日光诱导叶绿素荧光多反演算法对比分析
Comparative Analysis of Multiple Retrieval Algorithms for Tower-based Solar-induced Chlorophyll Fluorescence
2025年页码：1-19
收稿：2025-01-28，

网络出版：2025-10-28，
DOI： 10.11834/jrs.20255046
稿件说明：

移动端阅览

陈敬华，邓濯缨，饶圆艺，胡卓然，王绍强，陈璇，谷鹏，王静.XXXX.塔基日光诱导叶绿素荧光多反演算法对比分析.遥感学报，XX（XX）： 1-19 DOI： 10.11834/jrs.20255046.

CHEN Jinghua，DENG Zhuoying，RAO Yuanyi，HU Zhuoran，WANG Shaoqiang，CHEN Xuan，GU Peng，WANG Jing. XXXX. Comparative Analysis of Multiple Retrieval Algorithms for Tower-based Solar-induced Chlorophyll Fluorescence. National Remote Sensing Bulletin， XX（XX）：1-19 DOI： 10.11834/jrs.20255046.

摘要

日光诱导叶绿素荧光（Solar-induced Chlorophyll Fluorescence，SIF）是植被在自然光照下进行光合作用时发射的一种微弱的光学信号。作为指代植被光合作用的无损探针，SIF近年来被广泛应用于植被生产力估算、胁迫监测和物候监测等多个领域。开展近地面塔基SIF观测有助于在精细化尺度上理解植被的生理生化过程，但由于SIF信号十分微弱且与植被反射光混杂，常规手段难以实现SIF的直接观测。当前已有一系列基于植被光谱的SIF反演算法，但是，现有研究对这些算法的差异以及在不同条件下的适应性仍缺乏认识与讨论。因此，本研究基于山地森林站点塔基观测获取的高光谱数据，对六种SIF反演算法（sFLD、3FLD、iFLD、SFM、SVD和BSF）展开了对比分析与评价。结果表明：（1）传统FLD系列算法（sFLD、3FLD与iFLD）反演结果较为相近（R

0.86），SVD算法反演结果相较于其他算法明显偏高，SFM和BSF算法与其余各算法均保持较高相关性；（2）SFM、SVD和BSF算法相较于传统的FLD系列算法呈现出更高的准确性与稳定性（与NIRvR相比：平均ΔR

=0.29，与GPP相比：平均ΔR

=0.10），在云量较多或天气不稳定的情境下，SFM算法仍能保持与GPP较高的相关性，因此最适用于复杂环境下的SIF反演，而SVD算法反演获得的SIF能够较好地表征植被在日内尺度受太阳辐射影响的变化；（3）BSF算法对观测高度与先验权重的设置较为敏感，但对温度参数不敏感，在使用BSF算法反演SIF时需根据使用情境和数据特点进行调整。本研究阐明了六种典型SIF反演算法间的差异，为今后不同使用情境下SIF反演算法的选择提供了参考。

Abstract

Objective Solar-induced chlorophyll fluorescence (SIF)

a weak optical signal emitted by vegetation during photosynthesis under natural sunlight

serves as a non-destructive probe for vegetation photosynthesis and has been widely applied in estimating pr

oductivity

monitoring stress

and tracking phenology. While tower-based near-surface SIF observations enable fine-scale understanding of vegetation physiology

direct SIF measurement remains challenging due to its weak signal and interference from reflected light. Although various spectral-based SIF retrieval algorithms exist

differences in their performance and adaptability under varying conditions are poorly understood. This study aimed to compare and evaluate six SIF retrieval algorithms using tower-based hyperspectral data.Methods With high-resolution hyperspectral data acquired from tower-based observations at a mountainous forest site

six SIF retrieval algorithms—sFLD

3FLD

iFLD

SFM

SVD

and BSF—were systematically applied and compared. Algorithm performance was assessed based on the retrieved SIF signals and their relationships with key vegetation indicators (Near-infrared Radiance of Vegetation

NIRvR; Gross Primary Production

GPP).Results (1) Traditional FLD algorithms (sFLD

3FLD

iFLD) yielded highly consistent results (R

0.86). SVD retrievals were significantly higher than other algorithms

while SFM and BSF maintained strong correlations with all other algorithms. (2) SFM

SVD

and BSF demonstrated superior accuracy and stability compared to traditional FLD algorithms (ΔR

of 0.29 for NIRvR and 0.10 for GPP). SFM retrievals consistently maintained a high correlation with GPP even under cloudy or unstable weather

making SFM most suitable for complex environments. SVD-retrieved SIF effectively captured diurnal variations in vegetation response to solar radiation changes. (3) BSF algorithm showed high sensitivity to observation height and prior weight settings

but low sensitivity to temperature parameters. Optimal BSF application thus requires parameter adjustment based on specific scenarios and data characteristics.Conclusions This study clarifies the differences among six representative SIF retrieval algorithms. SFM is recommended for complex environments like cloudy

conditions

and SVD excels in tracking diurnal radiation-driven variations

while BSF requires careful parameterization. The results can provide critical guidance for selecting appropriate SIF retrieval algorithms based on specific research objectives and environmental conditions.

关键词

Keywords

references

Alonso L , Gomez-Chova L , Vila-Frances J , Amoros-Lopez J , Guanter L , Calpe J and Moreno J . Improved Fraunhofer Line Discrimination method for vegetation fluorescence quantification . IEEE Geoscience and Remote Sensing Letters , 2008 , 5 ( 4 ): 620 - 624 .

Amiro B D , Barr A G , Barr J G , Black T A , Bracho R , Brown M , Chen J , Clark K L , Davis K J and Desai A R . Ecosystem carbon dioxide fluxes after disturbance in forests of North America . Journal of Geophysical Research: Biogeosciences , 2010 , 115 ( G4 ).

Cao J J , An Q , Zhang X , Xu S , Si T and Niyogi D . Is satellite Sun-Induced Chlorophyll Fluorescence more indicative than vegetation indices under drought condition? Science of the Total Environment , 2021 , 792 : 148396 .

Cendrero-Mateo M P , Wieneke S , Damm A , Alonso L , Pinto F , Moreno J , Guanter L , Celesti M , Rossini M and Sabater N . Sun-induced chlorophyll fluorescence III: Benchmarking retrieval methods and sensor characteristics for proximal sensing . Remote Sensing , 2019 , 11 ( 8 ): 962 .

Chang C Y , Guanter L , Frankenberg C , Köhler P , Gu L , Magney T S , Grossmann K and Sun Y . Systematic assessment of retrieval methods for canopy far‐red solar‐induced chlorophyll fluorescence using high‐frequency automated field spectroscopy . Journal of Geophysical Research: Biogeosciences , 2020 , 125 ( 7 ): e2019JG005533 .

Cogliati S , Rossini M , Julitta T , Meroni M , Schickling A , Burkart A , Pinto F , Rascher U and Colombo R . Continuous and long-term measurements of reflectance and sun-induced chlorophyll fluorescence by using novel automated field spectroscopy systems . Remote Sensing of Environment , 2015 , 164 : 270 - 281 .

Du S S . 2020 . Research on Solar-Induced Chlorophyll Fluorescence Retrieval Using Domestic Satellites [D ] . University of Chinese Academy of Sciences (Aerospace Information Research Institute, Chinese Academy of Sciences)

杜珊珊 . 2020 . 国产卫星的日光诱导叶绿素荧光反演研究 [D ] . 中国科学院大学 (中国科学院空天信息创新研究院)

Du S , Liu L , Liu X , Zhang X , Zhang X , Bi Y and Zhang L . Retrieval of global terrestrial solar-induced chlorophyll fluorescence from TanSat satellite . Science Bulletin , 2018 , 63 ( 22 ): 1502 - 1512 .

Fang J Y . 2021 . An ecological perspective on carbon neutrality . Chinese Journal of Plant Ecology , 45 ( 11 ): 1173 - 1176

方精云 . 2021 . 碳中和的生态学透视 [J ] . 植物生态学报 , 45 ( 11 ): 1173 - 1176

Fu B J , Liu Y S , Cao Z , Wang Z Z , Wu X T . 2023 . Current status, problems, and suggestions for ecological conservation and high-quality development on the Loess Plateau . Bulletin of Chinese Academy of Sciences , 38 ( 8 ): 1110 - 1117

傅伯杰 , 刘彦随 , 曹智 , 王壮壮 , 武旭同 . 2023 . 黄土高原生态保护和高质量发展现状, 问题与建议 [J ] . 中国科学院院刊 , 38 ( 8 ): 1110 - 1117

Gu L , Han J , Wood J D , Chang C Y , and Sun Y . Sun-induced Chl fluorescence and its importance for biophysical modeling of photosynthesis based on light reactions . New Phytologist , 2019 , 223 ( 3 ), 1179 - 1191 .

Guanter L , Frankenberg C , Dudhia A , Lewis P E , Gómez-Dans J , Kuze A , Suto H and Grainger R G . Retrieval and global assessment of terrestrial chlorophyll fluorescence from GOSAT space measurements . Remote Sensing of Environment , 2012 , 121 : 236 - 251 .

Han S , Liu Z , Chen Z , Jiang H , Xu S , Zhao H and Ren S . Using high-frequency PAR measurements to assess the quality of the SIF derived from continuous field observations . Remote Sensing , 2022 , 14 ( 9 ): 2083 .

Hu J C , Liu L Y , Liu X J . 2015 . Uncertainty analysis of Fraunhofer line-based chlorophyll fluorescence retrieval algorithm using FluorMOD simulation . Journal of Remote Sensing , 19 ( 4 ): 594 - 608

胡姣婵 , 刘良云 , 刘新杰 . 2015 . FluorMOD模拟叶绿素荧光夫琅和费暗线反演算法不确定性分析 . 遥感学报 , 19 ( 4 ): 594 - 608

Ji M H , Tang B H , Li Z L . 2019 . Advances in satellite remote sensing retrieval methods for solar-induced chlorophyll fluorescence . Remote Sensing Technology and Application , 34 ( 3 ): 455 - 466

纪梦豪 , 唐伯惠 , 李召良 . 2019 . 太阳诱导叶绿素荧光的卫星遥感反演方法研究进展 . 遥感技术与应用 , 34 ( 3 ): 455 - 466

Li S , Gao M and Li Z L . Retrieving sun-induced chlorophyll fluorescence from hyperspectral data with TanSat satellite . Sensors , 2021 , 21 ( 14 ): 4886 .

Li S , Gao M , Li Z L , Duan S , and Leng P . Uncertainty analysis of SVD-based spaceborne far–red sun-induced chlorophyll fluorescence retrieval using TanSat satellite data . International Journal of Applied Earth Observation and Geoinformation , 2021 , 103 , 102517 .

Li S , Gao M , Li Z L , Duan S and Leng P . Uncertainty analysis of SVD-based spaceborne far–red sun-induced chlorophyll fluorescence retrieval using TanSat satellite data . International Journal of Applied Earth Observation and Geoinformation , 2021 , 103 : 102517 .

Li X , Xiao J , He B , Arain M A , Beringer J , Desai A R , Emmel C , et al . Solar-induced chlorophyll fluorescence is strongly correlated with terrestrial photosynthesis for a wide variety of biomes: First global analysis based on OCO-2 and flux tower observations . Global Change Biology , 2018 , 24 ( 9 ): 3990 – 4008 .

Li Z H , Zhang Q , Li J , Yang X , Wu Y , Zhang Z , Wang S H , Wang H and Zhang Y G . Solar-induced chlorophyll fluorescence and its link to canopy photosynthesis in maize from continuous ground measurements . Remote Sensing of Environment , 2020 , 236 : 111420 .

Liu L Y . 2014 . Principles and Applications of Quantitative Vegetation Remote Sensing [M ] . Beijing : Science Press

刘良云 . 2014 . 植被定量遥感原理与应用 [M ] . 北京 : 科学出版社

Liu O Y , Liu L Y , Hu J C , Liu X J , and Jiang J B . 2019 . Retrieval of solar-induced chlorophyll fluorescence based on the 719 nm water vapor absorption band . Remote Sensing Technology and Application , 34 ( 3 ): 500 - 510

刘鸥阳 , 刘良云 , 胡姣婵 , 刘新杰 , 蒋金豹 . 2019 . 基于719nm水汽吸收波段的日光诱导叶绿素荧光反演研究 . 遥感技术与应用 , 34 ( 3 ): 500 - 510

Liu , X J , Liu , L Y , Du , S S and Qi , M J . 2025 . Inconsistent Diurnal Patterns of Far-Red Solar-Induced Chlorophyll Fluorescence Retrieved with Different Algorithms from Tower-Based Observations . Journal of Remote Sensing , 5 , 0429 .

Liu X J , Liu L Y , Zhang S and Zhou X F . New spectral fitting method for full-spectrum solar-induced chlorophyll fluorescence retrieval based on principal components analysis . Remote Sensing , 2015 , 7 ( 8 ): 10626 - 10645 .

Magney T S , Barnes M L , and Yang X . On the Covariation of Chlorophyll Fluorescence and Photosynthesis Across Scales . Geophysical Research Letters , 2020 , 47 ( 23 ), e2020GL091098.

Maier S W , Günther K P and Stellmes M . Digital Imaging and Spectral Techniques: Applications to Precision Agriculture and Crop Physiology . In: ASA Special Publication , USA , 2004 : 207 - 222 .

Masters G M . Renewable and efficient electric power systems . John Wiley & Sons , 2013 .

Meroni M , Busetto L , Colombo R , Guanter L , Moreno J and Verhoef W . Performance of spectral fitting methods for vegetation fluorescence quantification . Remote Sensing of Environment , 2010 , 114 ( 2 ): 363 - 374 .

Meroni M and Colombo R . Leaf level detection of solar induced chlorophyll fluorescence by means of a subnanometer resolution spectroradiometer . Remote Sensing of Environment , 103 , 2006 , 438 - 448 .

Meroni M , Rossini M , Guanter L , Alonso L , Rascher U , Colombo R and Moreno J . Remote sensing of solar-induced chlorophyll fluorescence: Review of methods and applications . Remote Sensing of Environment , 2009 , 113 ( 10 ): 2037 - 2051 .

Mohammed G H , Colombo R , Middleton E M , Rascher U , van der Tol C , Nedbal L , Goulas Y , Pérez-Priego O , Damm A and Meroni M . Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress . Remote Sensing of Environment , 2019 , 231 : 111177 .

Plascyk J A . The MK II Fraunhofer line discriminator (FLD-II) for airborne and orbital remote sensing of solar-stimulated luminescence . Optical Engineering , 1975 , 14 ( 4 ): 339 - 0 .

Porcar-Castell A , Tyystjärvi E , Atherton J , Van der Tol C , Flexas J , Pfündel E E , Moreno J , Frankenberg C and Berry J A . Linking chlorophyll a fluorescence to photosynthesis for remote sensing applications: mechanisms and challenges . Journal of Experimental Botany , 2014 , 65 ( 15 ): 4065 - 4095 .

Qiu B , Guo W D . 2022 . Advances in research on the application of chlorophyll fluorescence remote sensing in carbon cycling and land-atmosphere interactions of terrestrial ecosystems . Transactions of Atmospheric Sciences , 45 ( 6 ): 801 - 814

邱博 , 郭维栋 . 2022 . 叶绿素荧光遥感在陆地生态系统碳循环和陆气相互作用中的应用研究进展 [J ] . 大气科学学报 , 45 ( 6 ): 801 - 814

Reda , I , and Andreas A . Solar position algorithm for solar radiation applications . Solar Energy , 2004 , 76 ( 5 ): 577 - 89 .

Reichstein M , Falge E , Baldocchi D , Papale D , Aubinet M , Berbigier P , Bernhofer C , Buchmann N , Gilmanov T and Granier A . On the separation of net ecosystem exchange into assimilation and ecosystem respiration: review and improved algorithm . Global Change Biology , 2005 , 11 ( 9 ): 1424 - 1439 .

van der Tol C , Julitta T , Yang P , Sabater N , Reiter I , Tudoroiu M , Schuettemeyer D and Drusch M . Retrieval of chlorophyll fluorescence from a large distance using oxygen absorption bands . Remote Sensing of Environment , 2023 , 284 : 113304 .

van der Tol , C , Verhoef , W , Timmermans J , Verhoef A , and Su Z . An integrated model of soil-canopy spectral radiances, photosynthesis, fluorescence, temperature and energy balance . Biogeosciences , 2009 , 6 ( 12 ): 3109 - 29 .

Verma M , Schimel D , Evans B , Frankenberg C , Beringer J , Drewry D T , Magney T , Marang I , Hutley L and Moore C . Effect of environmental conditions on the relationship between solar‐induced fluorescence and gross primary productivity at an OzFlux grassland site . Journal of Geophysical Research: Biogeosciences , 2017 , 122 ( 3 ): 716 - 733 .

Vitrack-Tamam S , Yasuorb H , Hamus-Cohenb D , Erel R , Rubinovichc L , Liran O . Solar Induced Fluorescence Retrieved from Avocado (Persea americana Mill .) Canopies Along the Season Correlates with Sugar Levels in the Developing Fruit. European Journal of Remote Sensing , 2025 , 58 ( 1 ), 2449940 .

Wang X , Wang C , Wu J , Miao G , Chen M , Chen S , Wang S , Guo Z , Wang Z , Wang B , Li J , Zhao Y , Wu X , Zhao C , Lin W , Zhang Y , Liu L . Intermediate Aerosol Loading Enhances Photosynthetic Activity of Croplands . Geophysical Research Letters , 2021 , 48 ( 7 ), e2020GL091893.

Wang Y Q , Leng P , Shang G F , Zhang X and Li Z L . Sun-induced chlorophyll fluorescence is superior to satellite vegetation indices for predicting summer maize yield under drought conditions . Computers and Electronics in Agriculture , 2023 , 205 : 107615 .

Wang Y , Sun Y , Chen Y , Wu C , Huang C , Li C and Tang X . Non-linear correlations exist between solar-induced chlorophyll fluorescence and canopy photosynthesis in a subtropical evergreen forest in Southwest China . Ecological Indicators , 2023 , 157 : 111311 .

Wu L S , Zhang Y G , Zhang Z Y , Zhang X K , and Wu Y F . 2022 . Remote sensing of solar-induced chlorophyll fluorescence and its applications in terrestrial ecosystem monitoring . Chinese Journal of Plant Ecology , 46 ( 10 ): 1167

吴霖升 , 张永光 , 章钊颖 , 张小康 , 吴云飞 . 2022 . 日光诱导叶绿素荧光遥感及其在陆地生态系统监测中的应用 . 植物生态学报 , 46 ( 10 ): 1167

Yan L S , Liu X J , Chen J D , Zou C , Du K Q , and Liu L Y . 2023 . Evaluation of the application performance of data-driven SIF retrieval algorithms in tower-based observations . Remote Sensing Technology and Application , 38 ( 4 ): 924 - 934

鄢列慎 , 刘新杰 , 陈冀岱 , 邹楚 , 杜凯奇 , 刘良云 . 2023 . 数据驱动 SIF 反演算法在塔基观测中的应用效果评价 . 遥感技术与应用 , 38 ( 4 ): 924 - 934

Yu G R , Wang Q F , et al . 2010 . Physiological Ecology of Photosynthesis, Transpiration, and Water Use in Plants [M ] . Beijing : Science Press

于贵瑞 , 王秋凤 , 等 . 2010 . 植物光合、蒸腾与水分利用的生理生态学 [M ] . 北京 : 科学出版社

Yu L , Piao S L . 2014 . Latest insights into carbon cycle and other biogeochemical cycles from the IPCC Fifth Assessment Report . Advances in Climate Change Research , 10 ( 1 ): 33

於琍 , 朴世龙 . 2014 . IPCC 第五次评估报告对碳循环及其他生物地球化学循环的最新认识 [J ] . 气候变化研究进展 , 10 ( 1 ): 33

Zeng Y , Chen M , Hao D , Damm A , Badgley G , Rascher U , Johnson JE , Dechant B , Siegmann B and Ryu Y . Combining near-infrared radiance of vegetation and fluorescence spectroscopy to detect effects of abiotic changes and stresses . Remote Sensing of Environment , 2022 , 270 : 112856 .

Zeng Y , Chen M , Hao D , Damm A , Badgley G , Rascher U , Johnson J E , Dechant B , Siegmann B , Ryu Y , Qiu H , Krieger V , Panigada C , Celesti M , Miglietta F , Yang X , and Berry J . Combining near-infrared radiance of vegetation and fluorescence spectroscopy to detect effects of abiotic changes and stresses . Remote Sensing of Environment , 2022 , 270 , 112856 .

Zhang L F , Wang S H , Huang C P . 2018 . Satellite remote sensing retrieval methods of solar-induced chlorophyll fluorescence . Journal of Remote Sensing , 22 ( 1 ): 1 - 12

张立福 , 王思恒 , 黄长平 . 2018 . 太阳诱导叶绿素荧光的卫星遥感反演方法 . 遥感学报 , 22 ( 1 ): 1 - 12

Zhang Z Y , Wang S H , Qiu B , Song L , Zhang Y G . 2022 . Advances in remote sensing retrieval of solar-induced chlorophyll fluorescence and its application in the carbon cycle . Chinese Journal of Plant Ecology , 46 ( 10 ): 1167 - 1199

章钊颖 , 王松寒 , 邱博 , 宋练 , 张永光 . 2022 . 日光诱导叶绿素荧光遥感反演及碳循环应用进展 . 植物生态学报 , 46 ( 10 ): 1167 - 1199

文章被引用时，请邮件提醒。

提交

基于高光谱卫星影像的生长期互花米草指数构建

资源一号02D卫星高光谱数据黄河三角洲湿地景观分类

高光谱数据截断加权核范数稀疏解混

夏季太湖叶绿素a浓度的高光谱数据监测模型（英文）