Please wait a minute...
img

Wechat

Remote Sensing Technology and Application  2019, Vol. 34 Issue (3): 500-510    DOI: 10.11873/j.issn.1004-0323.2019.3.0500
    
Assessment of Solar-Induced Chlorophyll Fluorescence Retrieval from the Atmospheric H2O Absorption Bands at 719 nm
Liu Ouyang1,Liu Liangyun2,Hu Jiaochan2,Liu Xinjie2,Jiang Jinbao1
(1.China University of Mining &Technology (Beijing),Beijing 100083;
2.Key Laboratory of Digital Earth Science,Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences,Beijing 100094,China)
Download:  PDF (4200KB) 
Export:  BibTeX | EndNote (RIS)      
Abstract  In the visible and near-infrared region,at a spectral resolution of 1 nm,the solar irradiance spectrum exhibits four absorption features:the HαFraunhofer line (656.4 nm),H2O absorption at 719 nm,the O2-B (687 nm) and O2-A (761 nm) bands.Although the H2O band is located between the chlorophyll fluorescence emission peaks at about 690 and 740 nm,it has never been investigated for SIF retrieval.In this paper,the potential of the H2O absorption band at 719 nm for SIF retrieval is investigated using different Fraunhofer line discrimination (FLD) methods based on the FluorMOD simulations and field data taken by an ASD FieldSpec Pro spectrometer (3 nm resolution).Firstly,the SIF retrieval performance using the H2O band was examined with different FLD methods at a spectral resolution of 1 nm.the results obtained using the HO band are better than for the O2-B band,and the associated RMSE is 0.154 W/m2/μm/sr.Then,the sensitivities and uncertainties of the SIF retrieval using the improved FLD (iFLD) method were calculated for the three atmospheric absorption bands.the total SIF estimation error and its contribution to the theoretical error in the two correction coefficients are found to be smaller using the H2O band than using the O2-B band,but significantly larger than that achieved using the O2-A band.Finally,the SIF retrieval using the iFLD method in the three atmospheric absorption bands is also examined in a field experiment.the SIF retrieval using the H2O band at 719 nm is found to have a similar performance to that using the O2-B and O2-A bands at canopy level.Finally,the SIF retrievals using the iFLD method in the three atmospheric absorption bands were also examined using field experiments.the SIF retrievals using the H2O band at 719 nm are similar to those at O2-A and O2-B oxygen absorption band,showing high values in backward and hot-spot directions and low values in forward and dark directions,and high SIF values at noon and low SIF in the morning and afternoon.Therefore,the H2-O absorb band provides a new band for retrieval of canopy SIF at near-ground platform.
Key words:  Solar-induced chlorophyll fluorescence (SIF)      Hyspectral      Fraunhofer line discrimination (FLD)      FluorMOD model      Atmospheric vapor absorption      Atmospheric oxygen absorption     
Received:  15 October 2018      Published:  01 July 2019
ZTFLH:  TP79  
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors

Cite this article: 

Liu Ouyang, Liu Liangyun, Hu Jiaochan, Liu Xinjie, Jiang Jinbao. Assessment of Solar-Induced Chlorophyll Fluorescence Retrieval from the Atmospheric H2O Absorption Bands at 719 nm. Remote Sensing Technology and Application, 2019, 34(3): 500-510.

URL: 

http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2019.3.0500     OR     http://www.rsta.ac.cn/EN/Y2019/V34/I3/500

[1]Guanter L,Zhang Y,Jung M,et al.Global and Time-Resolved Monitoring of Crop Photosynthesis With Chlorophyll Fluorescence[J].Proceedings of the National Academy of Sciences U S A,2014,111(14):1327-1233.<br /> [2]Liu L,Guan L,Liu X.Directly Estimating Diurnal Changes in GPP for C3 and C4 Crops Using Far-Red Sun-Induced Chlorophyll Fluorescence[J].Agricultural & Forest Meteorology,2017,232:1-9.<br /> [3]Zhang Zhaoying,Wang Songhan,Qiu Bo,et al.Retrieval of Sun-Induced Chlorophyll Fluorescence and Advancements in Carbon Cycle Application[J].Journal of Remote Sensing,2019,23(1):37-52.[章钊颖,王松寒,邱博,等.日光诱导叶绿素荧光遥感反演及碳循环应用进展[J].遥感学报,2019,23(1):37-52.]<br /> [4]Maxwell K,Johnson G N.Chlorophyll Fluorescence:A Practical Guide[J].Journal of Experimental Botany,2000,51:659-668.<br /> [5]Plascyk J.the MKII Fraunhofer Line Discriminator (FLD-II) for Airborne and Orbital Remote Sensing of Solar Stimulated Luminescence[J].Optical Engineering,1975,14(4):339-346.<br /> [6][JP2]Plascyk J,Gabriel F.the Fraunhofer Line Discriminator MKII:An Airborne Instrument for Precise and Standardized Ecological Luminescence Measurement[J].IEEE Transactions on Instrumentation and Measurement,1975,IM-24(4):306-313.<br /> [7]Liu Liangyun,Zhang Yongjiang,Wang Jihua,et al.Detecting Photosynthesis Fluorescence Under Natural Sunlight based on Fraunhofer Line[J].Journal of Remote Sensing,2006,10(1):130-137.[刘良云,张永江,王纪华,等.利用夫琅和费暗线探测自然光条件下的植被光合作用荧光研究[J].遥感学报,2006,10(1):130-137.]<br /> [8]Zhang Yongjiang,Liu Liangyun,Hou Mingyu,et al.Progress in Remote Sensing of Vegetation Chlorophyll Fluorescence[J].Journal of Remote Sensing,2009,13(5):963-978.[张永江,刘良云,侯名语,等.植物叶绿素荧光遥感研究进展[J].遥感学报,2009,13(5):963-978.]<br /> [9]Carter G A,Theisen A F,Mitchell R .Chlorophyll Fluorescence Measured Using the Fraunhofer Line-Depth Principle and Relationship to Photosynthetic Rate in the Field[J].Plant,Cell & Environment,1990,13(1):79-83.<br /> [10]Carter G A,Jones J H,Mitchell R J,et al.Detection of Solar-Excited Chlorophyll and Fluorescence and Leaf Photosynthetic Capacity Using A Fraunhofer Line Radiometer[J].Remote Sensing of Environment,1996,55(1):89-92.<br /> [11]Liu L,Zhang Y,Wang J,et al.Detecting Solar-Induced Chlorophyll Fluorescence from Field Radiance Spectra based on the Fraunhofer Line Principle[J].IEEE Transactions on Geoscience and Remote Sensing,2005,43(4):827-832.<br /> [12]Liu L,Liu X,Hu J.Effects of Spectral Resolution and SNR on the Vegetation Solar-Induced Fluorescence Retrieval Using FLD-based Methods At Canopy Level[J].European Journal of Remote Sensing,2015,48(1):743-762.<br /> [13]Joiner J,Yoshida Y,Vasilkov A P,et al.First Observations of Global and Seasonal Terrestrial Chlorophyll Fluorescence from Space[J].Biogeosciences,2011,8(3):637-651.<br /> [14]Shan N,Ju W,Migliavacca M,et al.Modeling Canopy Conductance and Transpiration from Solar-Induced Chlorophyll Fluorescence[J].Agricultural and Forest Meteorology,2019,268(4):189-201.<br /> [15]Gomez-Chova L,Alonso-Chorda L,Amoros-Lopez J,et al.Solar Induced Fluorescence Measurements Using A Field Spectroradiometer[C].Earth Observation for Vegetation Monitoring and Water Management,2006,852:274-281.<br /> [16]Alonso L,Gmez-Chova L,Vila-FrancS L,et al.Improved Fraunhofer Line Discrimination Method for Vegetation Fluorescence Quantification[J].IEEE Geoscience and Remote Sensing Letters,2008,5(4):620-624.<br /> [17]Meroni M,Rossini M,Guanter L,et al.Remote Sensing of Solar-Induced Chlorophyll Fluorescence:Review of Methods and Applications[J].Remote Sensing of Environment,2009,113(10):2037-2051.<br /> [18]Maier S W,Günther K P,Stellmes M,et al.Sun-Induced Fluorescence:A New Tool for Precision Farming[M].Digital Imaging and Spectral Techniques:Applications to Precision Agriculture and Crop Physiology,2001:209-222.<br /> [19]Liu X,Liu L.Improving Chlorophyll Fluorescence Retrieval Using Reflectance Reconstruction based on Principal Components Analysis[J].IEEE Geoscience & Remote Sensing Letters,2015,12(8):1645-1649.<br /> [20]Guanter L,Frankenberg C,Dudhia A,et al.Retrieval and Global Assessment of Terrestrial Chlorophyll Fluorescence from GOSAT Space Measurements[J].Remote Sensing of Environment,2012,121(6):236-251.<br /> [21]Guanter L,Aben I,Tol P,et al.Potential of the Tropospheric Monitoring Instrument (TROPOMI) Onboard the Sentinel-5 Precursor for the Monitoring of Terrestrial Chlorophyll Fluorescence[J].Atmospheric Measurement Techniques,2015,8(3):1337-1352.<br /> [22]Joiner J,Yoshida Y,Vasilkov A P,et al.Filling-In of Far-Red and Near-Infrared Solar Lines by Terrestrial and Atmospheric Effects:Simulations and Space-based Observations from SCIAMACHY and GOSAT[J].Atmospheric Measurement Techniques Discussions,2012,5(1):163-210.<br /> [23]Guanter L,Koehler P,Walther S,et al.Global Monitoring of Terrestrial Chlorophyll Fluorescence from Space:Status and Potential for Carbon Cycle Research[C]∥AGU Fall Meeting,2005,AGU Fall Meeting Abstracts.<br /> [24]Joiner J,Yoshida Y,Guanter L,et al.New Methods for Retrieval of Chlorophyll Red Fluorescence from Hyper-Spectral Satellite Instruments:Simulations and Application to GOME-2 and SCIAMACHY[C]∥Agu Fall Meeting.Copernicus Publications,2016,1-41.<br /> [25]Khler P,Guanter L,Joiner J.A Linear Method for the Retrieval of Sun-Induced Chlorophyll Fluorescence from GOME-2 and SCIAMACHY Data[J].Atmospheric Measurement Techniques,2015,8(12):2589-2608.<br /> [26]Zhang Lifu,Wang Siheng,Huang Changping.Top-Of-Atmosphere Hyperspectral Remote Sensing of Solar-Induced Chlorophyll Fluorescence:A Review of Methods[J].Journal of Remote Sensing,2018,22(1):1-12.[张立福,王思恒,黄长平.太阳诱导叶绿素荧光的卫星遥感反演方法[J].遥感学报,2018,22(1):1-12.]<br /> [27]Du S,Liu L,Liu X,et al.Retrieval of Global Terrestrial Solar-Induced Chlorophyll Fluorescence from Tansat Satellite[J].Science Bulletin,2018,63(22):1502-1512.<br /> [28]Miller J R,Berger M,Goulas Y,et al.Development of A Vegetation Fluorescence Canopy Model[R].European Space Agency Contract,2005,16365/02/NL/FF.<br /> [29]Zarco-Tejada P J,Miller J R,Pedros R,et al.Fluormodgui V3.0:A Graphic User Interface for the Spectral Simulation of Leaf and Canopy Chlorophyll Fluorescence.Computers & Geosciences,2006,32(5):577-591.<br /> [30]Yan G,Ren H,Hu R,et al.A Portable Multi-Angle Observation System[C]∥IEEE International Geoscience and Remote Sensing Symposium,2012:6916-6919.<br /> [31]Maier S W,GNther K P,Stellmes M,et al.“Sun-Induced Fluorescence:A New Tool for Precision Farming.” in Digital Imaging and Spectral Techniques:Applications to Precision Agriculture and Crop Physiology[C]∥American Society of Agronomy,2003:209-222.<br /> [32]Jacquemoud S,Verhoef W,Baret F,Bacour C,et al.PROSPECT+SAIL Models:A Review of Use for Vegetation Characterization[J].Remote Sensing of Environment,2009,113(1):56-66.<br /> [33]Liu L,Liu X,Wang Z,et al.Measurement and Analysis of Bidirectional SIF Emissions in Wheat Canopies[J].IEEE Transactions on Geoscience & Remote Sensing,2016,54(5):2640-2651.<br /> [34]Middleton E M,Cheng Y B,Corp L A,et al.Canopy Level Chlorophyll Fluorescence and the PRI in A Cornfield[C].IEEE Geoscience and Remote Sensing Symposium,2012,7117-7120.<br /> [35]Amoros-Lopez J,Gomez-Chova L,Vila-Frances J,et al.Evaluation of Remote Sensing of Vegetation Fluorescence by the Analysis of Diurnal Cycles[J].International Journal of Remote Sensing,2008,29(17-18):5423-5436.<br /> [36]Fournier A,Daumard F,Champagne S,et al.Effect of Canopy Structure on Sun-Induced Chlorophyll Fluorescence[J].Isprs Journal of Photogrammetry & Remote Sensing,2012,68(1):112-120.<br /> [37]Wittenberghe S V,Alonso L,Verrelst J.et al.Bidirectional Sun-Induced Chlorophyll Fluorescence Emission Is Influenced by Leaf Structure and Light Scattering Properties:A Bottom-Up Approach[J].Remote Sensing of Environment,2015,158:169-179.
[1] . [J]. Remote Sensing Technology and Application, 1987, 2(2): 64 .
[2] MO Yao-Chuan. [J]. Remote Sensing Technology and Application, 1990, 5(4): 37 -40 .
[3] . [J]. Remote Sensing Technology and Application, 1991, 6(3): 46 -50 .
[4] . [J]. Remote Sensing Technology and Application, 1992, 7(4): 1 -9 .
[5] Zhu Zhenhai. Hydrocarbon Microseepage Theory and Oil-gas Reservoir Dtecting by Remote Sensing[J]. Remote Sensing Technology and Application, 1994, 9(1): 1 -10 .
[6] . [J]. Remote Sensing Technology and Application, 1994, 9(2): 44 -49 .
[7] . Study for the Inhomogenous Atmospheric Correctionon Digital Image of Remote Sensing[J]. Remote Sensing Technology and Application, 1994, 9(2): 1 -7 .
[8] . Efficiency Research of Planted Rice Area Estimation  From NOAA一AVHRR Data in Taihu Domain[J]. Remote Sensing Technology and Application, 1994, 9(3): 19 -23 .
[9] WuQuanyuan. Surverying Investigation by Remote Sensing Teehnique on the Bloeking一storing Potential of Ground Surface Water Resources in Sanyi Area[J]. Remote Sensing Technology and Application, 1995, 10(1): 30 -34 .
[10] LuAnxin FengXuezhi LiShuo. Analysis of Digital Terrain and Its Information Transmission in the System of Snow Disaster Remote Sensing Monitoring and Evaluating at the Main PastoralArea in China[J]. Remote Sensing Technology and Application, 1995, 10(1): 43 -48 .