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Remote Sensing Technology and Application  2019, Vol. 34 Issue (3): 476-487    DOI: 10.11873/j.issn.1004-0323.2019.3.0476
    
Designment and Assessment of Far-Red Solar-Induced Chlorophyll Fluorescence Retrieval Method for the Terrestrial Ecosystem Carbon Inventory Satellite
Wang Siheng1,2,Huang Changping1,Zhang Lifu1,Gao Xianlian3,Fu Anmin3
 (1.Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences,Beijing 100101,China;
2.University of Chinese Academy of Sciences,Beijing 100049,China;3.Academy of Forestry Investigation and Planning,National Forestry and Grassland Administration,Beijing 100013,China)
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Abstract  Solar-Induced Chlorophyll Fluorescence (SIF),which is emitted by photosystem during photosynthesis under natural illumination,carries important information of actual photosynthesis of plants.Spaceborne remote sensing of SIF provides an unprecedented opportunity for monitoring global photosynthesis at regional to global scales.Up to date,in-orbit operational spaceborne sensors that are available for SIF retrieval are originally designed for atmosphere monitoring.The hyperspectral sensor onboard Chinese Terrestrial Ecosystem Carbon Inventory Satellite (CTECS) is expected to be the first operational spaceborne sensor that is specifically designed for sensing SIF from space (scheduled to be launched around 2020,2 years before the Fluorescence Explorer (FLEX) Mission).Data-driven approach has been selected as the main algorithm for far-red SIF retrieval for CTECS,but is to be refined and assessed according to sensor specifications (e.g.spectral resolution and signal-to-noise ratio).In this context,this study aims to improve the designment of far-red SIF retrieval method for CTECS.based on end-to-end simulation,we evaluate the precision and accuracy of SIF retrieval in several potential windows.We then analyze the sensitivity of SIF retrieval to number of features (nv) and fluorescence spectral shape function (hF) in the forward model in different windows.Results show that a broader fitting window increases retrieval precision,but is accompanied with lower accuracy and stronger sensitivity to nv and  hF.Considering both retrieval precision and accuracy,the window of 735~758 nm with nv set to 6 and hFset as single peak Gaussian function (μ=740 nm and σ=30 nm) is selected as optimal fitting window for CTECS.SIF retrieval results based on proximal and airborne remote sensing data demonstrate the feasibility and reasonability of the designed method.Our results provide an important reference for far-red SIF retrieval for CTECS.
Key words:  Solar-Induced Chlorophyll Fluorescence(SIF)      Chinese Terrestrial Ecosystem Carbon Inventory Satellite      Data-driven approach      Hyperspectral remote sensing     
Received:  25 February 2019      Published:  01 July 2019
ZTFLH:  TP75  
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Wang Siheng, Huang Changping, Zhang Lifu, Gao Xianlian, Fu Anmin. Designment and Assessment of Far-Red Solar-Induced Chlorophyll Fluorescence Retrieval Method for the Terrestrial Ecosystem Carbon Inventory Satellite. Remote Sensing Technology and Application, 2019, 34(3): 476-487.

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http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2019.3.0476     OR     http://www.rsta.ac.cn/EN/Y2019/V34/I3/476

<p> [1]Christian B,Markus R,Enrico T,et al.Terrestrial Gross Carbon Dioxide Uptake:Global Distribution and Covariation with Climate[J].Science,2010,329(5993):834-838.<br /> [2]Guan K,Berry J A,Zhang Y,et al.Improving the Monitoring of Crop Productivity Using Spaceborne Solar-Induced Fluorescence[J].Global Change Biology,2016,22(2):716-726.<br /> [3]Zhang L F,Jiao W Z,Zhang H M,et al.Studying Drought Phenomena in the Continental United States in 2011 and 2012 Using Various Drought Indices[J].Remote Sensing of Environment,2017,190:96-106.<br /> [4]Porcar-Castell A,Tyystjarvi E,Atherton J,et al.Linking Chlorophyll a Fluorescence to Photosynthesis for Remote Sensing Applications:Mechanisms and Challenges[J].Journal of Experimental Botany,2014,65(15):4065-4095.<br /> [5]Zhang Y,Xiao X M,Zhang Y G,et al.On the Relationship Between Sub-Daily Instantaneous and Daily Total Gross Primary Production:Implications for Interpreting Satellite-based SIF Retrievals[J].Remote Sensing of Environment,2018,205:276-289.<br /> [6]Zhang Y G,Guanter L,Joiner J,et al.Spatially-Explicit Monitoring of Crop Photosynthetic Capacity Through the Use of Space-based Chlorophyll Fluorescence Data[J].Remote Sensing of Environment,2018,210:362-374.<br /> [7]Walther S,Voigt M,Thum T,et al.Satellite Chlorophyll Fluorescence Measurements Reveal Large-Scale Decoupling of Photosynthesis and Greenness Dynamics in Boreal Evergreen Forests[J].Global Change Biology,2016,22(9):2979-2996.<br /> [8]Joiner J,Yoshida Y,Vasilkov A P,et al.The Seasonal Cycle of Satellite Chlorophyll Fluorescence Observations and Its Relationship to Vegetation Phenology and Ecosystem Atmosphere Carbon Exchange[J].Remote Sensing of Environment,2014,152:375-391.<br /> [9]Guanter L,Zhang Y G,Jung M,et al.Global and Time-resolved Monitoring of Crop Photosynthesis with Chlorophyll Fluorescence[J].Proceedings of the National Academy of Sciences of the United States of America,2014,111(14):1327-1333.<br /> [10]Khler P,Guanter L,Kobayashi H,et al.Assessing the Potential of Sun-Induced Fluorescence and the Canopy Scattering Coefficient to Track Large-Scale Vegetation Dynamics in Amazon Forests[J].Remote Sensing of Environment,2018,204:769-785.<br /> [11]Sun Y,Frankenberg C,Wood J D,et al.OCO-2 Advances Photosynthesis Observation from Space via Solar-Induced Chlorophyll Fluorescence[J].Science,2017,358(6360):5747.<br /> [12]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 /> [13]Frankenberg C,Fisher J B,Worden J,et al.New Global Observations of the Terrestrial Carbon Cycle from GOSAT:Patterns of Plant Fluorescence with Gross Primary Productivity[J].Geophysical Research Letters,2011,38(17).doi:10.1029/2011GL048738.<br /> [14]Guanter Luis,Frankenberg Christian,Dudhia Anu,et al.Retrieval and Global Assessment of Terrestrial Chlorophyll Fluorescence from GOSAT Space Measurements[J].Remote Sensing of Environment,2012,121:236-251.<br /> [15]Joiner J,Yoshida Y,Guanter Luis,et al.New Methods for Retrieval of Chlorophyll Red Fluorescence from Hyper-Spectral Satellite Instruments:Simulations and Application to GOME-2 and SCIAMACHY[J].Atmospheric Measurement Techniques Discussions,2016:1-41.<br /> [16]Sanders A,Verstraeten W,Kooreman M,et al.Spaceborne Sun-Induced Vegetation Fluorescence Time Series from 2007 to 2015 Evaluated with Australian Flux Tower Measurements[J].Remote Sensing,2016,8(12):895.doi:103390/rs8110895.<br /> [17]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(6):2589-2608.<br /> [18]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 /> [19]Joiner J,Guanter L,Lindstrot R,et al.Global Monitoring of Terrestrial Chlorophyll Fluorescence from Moderate-Spectral-Resolution Near-Infrared Satellite Measurements:Methodology,Simulations,And Application to GOME-2[J].Atmospheric Measurement Techniques,2013,6(10):2803-2823.<br /> [20]Frankenberg C,O’dell C,Berry J,et al.Prospects for Chlorophyll Fluorescence Remote Sensing from the Orbiting Carbon Observatory-2[J].Remote Sensing of Environment,2014,147:1-12.<br /> [21]Sun Y,Frankenberg C,Jung M,et al.Overview of Solar-Induced Chlorophyll Fluorescence (SIF) from the Orbiting Carbon Observatory-2:Retrieval,Cross-Mission Comparison,And Global Monitoring for GPP[J].Remote Sensing of Environment,2018,209:808-823.<br /> [22]Kehler P,Frankenberg C,Magney T S,et al.Global Retrievals of Solar Induced Chlorophyll Fluorescence with TROPOMI:First Results and Inter-Sensor Comparison to OCO-2[J].Geophysical Research Letters,2018,45(19):10456-10463.<br /> [23]Du S S,Liu L Y,Liu X J,et al.Retrieval of Global Terrestrial Solar-Induced Chlorophyll Fluorescence from Tansat Satellite[J].Science Bulletin,2018,63(22):1502-1512.<br /> [24]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 /> [25]Zhang Lifu,Wang Siheng,Huang Changping.Top-of-Atmosphere Hyperspectral Remote Sensing of Solar-Induced Chlorophyll Fluorescence:A Review of Methods.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 /> [26]Coppo P,Taiti A,Pettinato L,et al.Fluorescence Imaging Spectrometer (FLORIS) for ESA FLEX Mission[J].Remote Sensing,2017,9(7):649.doi:10.3390/rs9070649.<br /> [27]Guanter L,Rossini M,Colombo R,et al.Using Field Spectroscopy to Assess the Potential of Statistical Approaches for the Retrieval of Sun-Induced Chlorophyll Fluorescence from Ground and Space[J].Remote Sensing of Environment,2013,133:52-61.<br /> [28]Berk A,Anderson G P,Acharya P K,et al.MODTRAN 5:A Reformulated Atmospheric Band Model with Auxiliary Species and Practical Multiple Scattering Options:Update;Proceedings of the Algorithms and Technologies for Multispectral,Hyperspectral,and Ultraspectral Imagery XI,F,2005[C]∥International Society for Optics and Photonics,2005.<br /> [29]Van der Tol C,Verhoef W,Timmermans J,et al.An Integrated Model of Soil-Canopy Spectral Radiances,Photosynthesis,Fluorescence,Temperature and Energy Balance[J].Biogeosciences,2009,6(12):3109-3129.<br /> [30]Zhang L F,Wang S H,Huang C P,et al.Retrieval of Sun-Induced Chlorophyll Fluorescence Using Statistical Method Without Synchronous Irradiance Data[J].IEEE Geoscience and Remote Sensing Letters,2017,14(3):384-388.<br /> [31]Liu X J,Liu L Y.Influence of the Canopy BRDF Characteristics and Illumination Conditions on the Retrieval of Solar-Induced Chlorophyll Fluorescence[J].International Journal of Remote Sensing,2018,39(6):1782-1799.<br /> [32]Liu X,Liu L,Zhang S,et al.New Spectral Fitting Method for Full-Spectrum Solar-Induced Chlorophyll Fluorescence Retrieval based on Principal Components Analysis[J].Remote Sensing,2015,7(8):10626-45.<br /> [33]Zhang Y,Joiner J,Alemohammad S H,et al.A Global Spatially Continuous Solar Induced Fluorescence (CSIF) Dataset Using Neural Networks[J].Biogeosciences Discussions,2018:1-34.<br /> [34]Gentine P,Alemohammad S H.Reconstructed Solar-Induced Fluorescence:A Machine Learning Vegetation Product based on MODIS Surface Reflectance to Reproduce GOME-2 Solar-Induced Fluorescence[J].Geophysical Research Letters,2018,45(7):3136-3146. </p>
[1] . Land Use Classification and Mapping Using Digital Aerial Photo Imaage[J]. Remote Sensing Technology and Application, 1996, 11(1): 54 -61 .
[2] . [J]. Remote Sensing Technology and Application, 1996, 11(4): 63 -65 .
[3] 高飞, 张俊荣, 宋宁华. Momentum Compensation Simulation Method in Antenna Scan abou t Spaceborne Microwave Imaging Instrument[J]. Remote Sensing Technology and Application, 1999, 14(2): 10 -14 .
[4] XIAO Zheng-qing,LIN Qi-zhong. The Forward Calculation of Topography and Noise Beared in the Multiple-band Remotely Sensed Data[J]. Remote Sensing Technology and Application, 2000, 15(4): 211 -213 .
[5] CHEN Hong, LI Shi-zhong, ZHANG Wu, ZHANG Li. The Optical Parameters of Remote Sensing Satellite[J]. Remote Sensing Technology and Application, 2000, 15(4): 274 -276 .
[6] HE Guo-jin, Hu De-yong, JIN Xiao-hua, YANG Jian-guo, LI Guo-yang. The Spectra Measurement and Analysis of Wheat Aphid Disaster in Beijing[J]. Remote Sensing Technology and Application, 2002, 17(3): 119 -124 .
[7] WANG Zhi-sen, ZHENG Zhen-fan, JIANG Jing-shan. A Digital Control and Communication System for
A Multi-mode Remote Sensor
[J]. Remote Sensing Technology and Application, 2002, 17(4): 181 -184 .
[8] WENG Yong-ling, TIAN Qing-jiu. The Digital photogrammetry and Construction of the Digital Earth[J]. Remote Sensing Technology and Application, 2003, 18(1): 47 -51 .
[9] HE Qing, LU Da-ren. Monitoring Vegetation Cover Change in East Hunshandake Sandy Land with Landsat TM and ETM+and Its Possible Causes[J]. Remote Sensing Technology and Application, 2003, 18(6): 353 -359 .
[10] LIU Xue-feng1,2, MENG Ling-kui1, ZHAO Jin-ling2, HUANG Chang-qing1. A New Approach to Making Signature File in Remote SensingImagery Supervised Classification Based on Idrisi for Windows[J]. Remote Sensing Technology and Application, 2004, 19(1): 37 -41 .