Early Water Stress Detection Using Leaf-Level Measurements of Chlorophyll Fluorescence and Temperature Data

The purpose of this paper was to investigate the early water stress in maize using leaf-level measurements of chlorophyll fluorescence and temperature. In this study, a series of diurnal measurements, such as leaf chlorophyll fluorescence (Fs), leaf spectrum, temperature and photosynthetically active radiation (PAR), were conducted for maize during gradient watering and filled watering experiments. Fraunhofer Line Discriminator methods (FLD and 3FLD) were used to obtain fluorescence from leaves spectrum. This simulated work using the SCOPE model demonstrated the variations in fluorescence and temperature in stress levels expressed by different stress factors. In the field measurement, the gradient experiment revealed that chlorophyll fluorescence decreased for plants with water stress relative to well-water plants and Tleaf-Tair increased; the filled watering experiment stated that chlorophyll fluorescence of maize under water stress were similar to those of maize under well-watering condition. In addition, the relationships between the Fs, retrieved fluorescence, Tleaf-Tair and water content were analyzed. The Fs determination resulted to the best coefficients of determination for the normalized retrieved fluorescence FLD/PAR (R2 = 0.54), Tleaf-Tair (R2 = 0.48) and water content (R2 = 0.71). The normalized retrieved fluorescence yielded a good coefficient of determination for Tleaf-Tair (R2 = 0.48). This study demonstrated that chlorophyll fluorescence could reflect variations in the physiological states of plants during early water stress, and leaf temperature confirmed the chlorophyll fluorescence analysis results and improved the accuracy of the water stress detection.

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

[2]  P. Zarco-Tejada,et al.  Modelling PRI for water stress detection using radiative transfer models , 2009 .

[3]  W. Verhoef,et al.  An integrated model of soil-canopy spectral radiance observations, photosynthesis, fluorescence, temperature and energy balance , 2009 .

[4]  C. B. Tanner,et al.  Infrared Thermometry of VegetationI , 2022 .

[5]  Hartmut K. Lichtenthaler,et al.  In Vivo Chlorophyll Fluorescence as a Tool for Stress Detection in Plants , 1988 .

[6]  B. Gao NDWI—A normalized difference water index for remote sensing of vegetation liquid water from space , 1996 .

[7]  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 .

[8]  Hartmut K. Lichtenthaler,et al.  Fluorescence imaging as a diagnostic tool for plant stress , 1997 .

[9]  Philip Lewis,et al.  Retrieval and global assessment of terrestrial chlorophyll fluorescence from GOSAT space measurements , 2012 .

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

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

[12]  S. Idso,et al.  Canopy temperature as a crop water stress indicator , 1981 .

[13]  M. Rossini,et al.  Leaf level early assessment of ozone injuries by passive fluorescence and photochemical reflectance index , 2008 .

[14]  W. Bilger,et al.  Chlorophyll fluorescence as a nonintrusive indicator for rapid assessment of in vivo photosynthesis , 1994 .

[15]  J.,et al.  A decimal code for the growth stages of cereals , 2022 .

[16]  M. Rossini,et al.  Using optical remote sensing techniques to track the development of ozone-induced stress. , 2009, Environmental pollution.

[17]  K. Steppe,et al.  Chlorophyll fluorescence as a tool for evaluation of drought stress in strawberry , 2008, Photosynthetica.

[18]  C. Frankenberg,et al.  Linking chlorophyll a fluorescence to photosynthesis for remote sensing applications: mechanisms and challenges. , 2014, Journal of experimental botany.

[19]  J. McMurtrey,et al.  Assessment of vegetation stress using reflectance or fluorescence measurements. , 2007, Journal of environmental quality.

[20]  Pablo J. Zarco-Tejada,et al.  Chlorophyll fluorescence effects on vegetation apparent reflectance: II. laboratory and airborne canopy-level measurements with hyperspectral data. , 2000 .

[21]  John R. Miller,et al.  Vegetation stress detection through chlorophyll a + b estimation and fluorescence effects on hyperspectral imagery. , 2002, Journal of environmental quality.

[22]  A. Viña,et al.  Drought Monitoring with NDVI-Based Standardized Vegetation Index , 2002 .

[23]  Liangyun Liu,et al.  A Method to Reconstruct the Solar-Induced Canopy Fluorescence Spectrum from Hyperspectral Measurements , 2014, Remote. Sens..

[24]  Asmaa Mahmoud,et al.  Estimation Of Evapotranspiration From Airborne Hyperspectral Scanner Data Using The SCOPE Model , 2013 .

[25]  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 .

[26]  M. Pérez-Ortolá,et al.  Simulating impacts of irrigation heterogeneity on onion (Allium cepa L.) yield in a humid climate , 2014, Irrigation Science.

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

[28]  W. Verhoef,et al.  An integrated model of soil-canopy spectral radiances, photosynthesis, fluorescence, temperature and energy balance , 2009 .

[29]  I. Sandholt,et al.  A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status , 2002 .

[30]  J. Qu,et al.  Satellite remote sensing applications for surface soil moisture monitoring: A review , 2009 .

[31]  J. Timmermans,et al.  Coupling optical and thermal directional radiative transfer to biophysical processes in vegetated canopies , 2011 .

[32]  R D Jackson,et al.  Plant stress detection by remote measurement of fluorescence. , 1980, Applied optics.

[33]  H. Jones,et al.  Monitoring and screening plant populations with combined thermal and chlorophyll fluorescence imaging. , 2007, Journal of experimental botany.

[34]  C. B. Tanner,et al.  Infrared Thermometry of Vegetation1 , 1966 .

[35]  C. Frankenberg,et al.  Forest productivity and water stress in Amazonia: observations from GOSAT chlorophyll fluorescence , 2013, Proceedings of the Royal Society B: Biological Sciences.

[36]  A. Huete,et al.  Estimation of vegetation photosynthetic capacity from space‐based measurements of chlorophyll fluorescence for terrestrial biosphere models , 2014, Global change biology.

[37]  S. Dobrowski,et al.  Steady-state chlorophyll a fluorescence detection from canopy derivative reflectance and double-peak red-edge effects , 2003 .

[38]  Óscar Pérez-Priego,et al.  Detection of water stress in orchard trees with a high-resolution spectrometer through chlorophyll fluorescence in-filling of the O/sub 2/-A band , 2005, IEEE Transactions on Geoscience and Remote Sensing.

[39]  P. Zarco-Tejada,et al.  Seasonal evolution of crop water stress index in grapevine varieties determined with high-resolution remote sensing thermal imagery , 2015, Irrigation Science.

[40]  Jonas Johansson,et al.  Remote monitoring of Vegetation using a Fluorescence LIDAR System in Spectrally Resolving and Multi-spectral Imaging Modes , 1995 .

[41]  P. Zarco-Tejada,et al.  Spatio-temporal patterns of chlorophyll fluorescence and physiological and structural indices acquired from hyperspectral imagery as compared with carbon fluxes measured with eddy covariance , 2013 .

[42]  Simonetta Paloscia,et al.  Microwave remote sensing of plant water stress , 1984 .

[43]  B. Rock,et al.  Detection of changes in leaf water content using Near- and Middle-Infrared reflectances , 1989 .

[44]  B. Surv,et al.  ESTIMATING SOIL MOISTURE PROFILE DYNAMICS FROM NEAR-SURFACE SOIL MOISTURE MEASUREMENTS AND STANDARD METEOROLOGICAL DATA , 2000 .

[45]  François Jonard,et al.  Characterization of Crop Canopies and Water Stress Related Phenomena using Microwave Remote Sensing Methods: A Review , 2012 .

[46]  Albert Olioso,et al.  Chlorophyll fluorescence as a tool for management of plant resources , 1994 .

[47]  E. C. Lins,et al.  Fluorescence spectroscopy applied to orange trees , 2006 .

[48]  J. A. Plascyk,et al.  The Fraunhofer Line Discriminator MKII-An Airborne Instrument for Precise and Standardized Ecological Luminescence Measurement , 1975, IEEE Transactions on Instrumentation and Measurement.

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