A Method for Uncertainty Assessment of Passive Sun-Induced Chlorophyll Fluorescence Retrieval Using an Infrared Reference Light

Measurements of sun-induced chlorophyll fluorescence (SIF) over plant canopies provide a proxy for plant photosynthetic capacity and are of high interest for plant research. Together with spectral reflectance, SIF has the potential to act as a noninvasive approach to quantify photosynthetic plant traits from field to air and spaceborne scales. However, SIF is a small signal contribution to the reflected sunlight and often not distinguishable from sensor noise. SIF estimation is, therefore, affected by an unquantified uncertainty, making it difficult to estimate accurately how much SIF is truly emitted from the plant. To investigate and overcome this, we designed a device based on a spectrometer covering the visible range and equipped it with an LED emitting at the wavelength of SIF. Using this as a reference and applying thorough calibrations, we present consistent evidence of the instrument's capability of SIF retrieval and accuracy estimations. The LED's intensity was measured under sunlight with 1.27 ± 0.27 mW × sr-1m-2nm-1 stable over the day. The large increase of SIF due to the Kautsky effect was measured spectrally and temporally proving the biophysical origin of the signal. We propose rigorous tests for instruments intended to measure SIF and show ways to further improve the presented methods.

[1]  Hartmut K. Lichtenthaler,et al.  Principles and characteristics of multi-colour fluorescence imaging of plants , 1998 .

[2]  Yves Goulas,et al.  Fluorosensing of water stress in plants: Diurnal changes of the mean lifetime and yield of chlorophyll fluorescence, measured simultaneously and at distance with a τ-LIDAR and a modified PAM-fluorimeter, in maize, sugar beet, and kalanchoë☆ , 1996 .

[3]  P. Zarco-Tejada,et al.  Fluorescence, temperature and narrow-band indices acquired from a UAV platform for water stress detection using a micro-hyperspectral imager and a thermal camera , 2012 .

[4]  J. Moreno,et al.  Remote sensing of sun‐induced fluorescence to improve modeling of diurnal courses of gross primary production (GPP) , 2010 .

[5]  Luis Alonso,et al.  Remote sensing of solar-induced chlorophyll fluorescence: Review of methods and applications , 2009 .

[6]  W. Verhoef,et al.  Performance of spectral fitting methods for vegetation fluorescence quantification , 2010 .

[7]  M. Rossini,et al.  The hyperspectral irradiometer, a new instrument for long-term and unattended field spectroscopy measurements. , 2011, The Review of scientific instruments.

[8]  A. Burkart,et al.  A Novel UAV-Based Ultra-Light Weight Spectrometer for Field Spectroscopy , 2014, IEEE Sensors Journal.

[9]  L. Gómez-Chova,et al.  Estimation of solar‐induced vegetation fluorescence from space measurements , 2007 .

[10]  J. Calpe,et al.  Evaluation of remote sensing of vegetation fluorescence by the analysis of diurnal cycles , 2008 .

[11]  John R. Miller,et al.  Imaging chlorophyll fluorescence with an airborne narrow-band multispectral camera for vegetation stress detection , 2009 .

[12]  K. LichtenthalerH,et al.  The Kautsky effect: 60 years of chlorophyll fluorescence induction kinetics. , 1992 .

[13]  M. S. Moran,et al.  Global and time-resolved monitoring of crop photosynthesis with chlorophyll fluorescence , 2014, Proceedings of the National Academy of Sciences.

[14]  K Maxwell,et al.  Chlorophyll fluorescence--a practical guide. , 2000, Journal of experimental botany.

[15]  C. Field,et al.  A narrow-waveband spectral index that tracks diurnal changes in photosynthetic efficiency , 1992 .

[16]  J. A. Plascyk The MK II Fraunhofer Line Discriminator (FLD-II) for Airborne and Orbital Remote Sensing of Solar-Stimulated Luminescence , 1975 .

[17]  M. Rossini,et al.  Continuous and long-term measurements of reflectance and sun-induced chlorophyll fluorescence by using novel automated field spectroscopy systems , 2015 .

[18]  J. Flexas,et al.  Steady-State and Maximum Chlorophyll Fluorescence Responses to Water Stress in Grapevine Leaves: A New Remote Sensing System , 2000 .

[19]  H. Walz Linking chlorophyll a fluorescence to photosynthesis for remote sensing applications: mechanisms and challenges , 2014 .

[20]  N. Baker Chlorophyll fluorescence: a probe of photosynthesis in vivo. , 2008, Annual review of plant biology.

[21]  R. Samson,et al.  Upward and downward solar-induced chlorophyll fluorescence yield indices of four tree species as indicators of traffic pollution in Valencia. , 2013, Environmental pollution.

[22]  M. Rossini,et al.  High resolution field spectroscopy measurements for estimating gross ecosystem production in a rice field , 2010 .

[23]  Michele Meroni,et al.  SpecCal: Novel software for in-field spectral characterization of high-resolution spectrometers , 2011, Comput. Geosci..

[24]  Joel Kuusk Dark Signal Temperature Dependence Correction Method for Miniature Spectrometer Modules , 2011, J. Sensors.

[25]  Edward J. Milton,et al.  Calibration of dual‐beam spectroradiometric data , 2006 .

[26]  Massimo Banzi,et al.  Getting Started with Arduino , 2008 .

[27]  E. Hunt,et al.  Combined Spectral Index to Improve Ground‐Based Estimates of Nitrogen Status in Dryland Wheat , 2008 .

[28]  John Shepanski,et al.  Hyperion, a space-based imaging spectrometer , 2003, IEEE Trans. Geosci. Remote. Sens..

[29]  W. Verhoef,et al.  Modeling the impact of spectral sensor configurations on the FLD retrieval accuracy of sun-induced chlorophyll fluorescence , 2011 .

[30]  Andrew D. Richardson,et al.  An evaluation of noninvasive methods to estimate foliar chlorophyll content , 2002 .

[31]  Pablo J. Zarco-Tejada,et al.  Simple reflectance indices track heat and water stress-induced changes in steady-state chlorophyll fluorescence at the canopy scale , 2005 .

[32]  Marina Mazzoni,et al.  A spectral fitting model for chlorophyll fluorescence retrieval at global scale , 2009, 2009 IEEE International Geoscience and Remote Sensing Symposium.

[33]  Moon S. Kim,et al.  Estimating Corn Leaf Chlorophyll Concentration from Leaf and Canopy Reflectance , 2000 .

[34]  H. Kautsky,et al.  Neue Versuche zur Kohlensäureassimilation , 1931, Naturwissenschaften.

[35]  Michele Meroni,et al.  Remote sensing-based estimation of gross primary production in a subalpine grassland , 2012 .

[36]  R. Colombo,et al.  Sun‐induced fluorescence – a new probe of photosynthesis: First maps from the imaging spectrometer HyPlant , 2015, Global change biology.

[37]  G. A. Blackburn,et al.  Spectral indices for estimating photosynthetic pigment concentrations: A test using senescent tree leaves , 1998 .

[38]  A. Gitelson,et al.  Signature Analysis of Leaf Reflectance Spectra: Algorithm Development for Remote Sensing of Chlorophyll , 1996 .

[39]  Stephen P. Long,et al.  Measurement of leaf and canopy photosynthetic CO2 exchange in the field , 1996 .

[40]  R. Colombo,et al.  Leaf level detection of solar induced chlorophyll fluorescence by means of a subnanometer resolution spectroradiometer , 2006 .

[41]  M E Schaepman,et al.  Solid laboratory calibration of a nonimaging spectroradiometer. , 2000, Applied optics.

[42]  S. Long,et al.  Chlorophyll Fluorescence as a Probe of the Photosynthetic Competence of Leaves in the Field: A Review of Current Instrumentation , 1989 .

[43]  Luis Alonso,et al.  Improved Fraunhofer Line Discrimination Method for Vegetation Fluorescence Quantification , 2008, IEEE Geoscience and Remote Sensing Letters.