A method to reconstruct the solar-induced canopy fluorescence spectrum from hyperspectral measurements

Remote Sensing

Volumn 6, Issue 10, 2014, Pages 10171-10192

  Zhao, Feng ^a   Guo, Yiqing ^a   Verhoef, Wout ^b   Gu, Xingfa ^c   Liu, Liangyun ^c   Yang, Guijun ^d  

^a BEIHANG UNIVERSITY   (China)

^b UNIVERSITY OF TWENTE   (Netherlands)

^c INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^d Beijing Research Center for Information Technology in Agriculture   (China)

Author keywords

Fluorescence Spectrum Reconstruction (FSR); Fraunhofer Line Discriminator (FLD); Hyperspectral remote sensing; Singular Vector Decomposition (SVD); Solar induced chlorophyll fluorescence (Fs); Spectral Fitting Method (SFM)

Indexed keywords

ABSORPTION SPECTROSCOPY; CHLOROPHYLL; FLUORESCENCE; REMOTE SENSING; SPECTRAL RESOLUTION;

CHLOROPHYLL FLUORESCENCE; FLUORESCENCE SPECTRA; FRAUNHOFER LINES; HYPERSPECTRAL REMOTE SENSING; SINGULAR VECTORS; SPECTRAL FITTING;

SIGNAL TO NOISE RATIO;

EID: 84923594925     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs61010171     Document Type: Article

References (33)

1. Meroni, M.; Rossini, M.; Guanter, L.; Alonso, L.; Rascher, U.; Colombo, R.; Moreno, J. Remote sensing of solar-induced chlorophyll fluorescence: Review of methods and applications. Remote Sens. Environ. 2009, 113, 2037-2051.
2. Malenovsky, Z.; Mishra, K.B.; Zemek, F.; Rascher, U.; Nedbal L. Scientific and technical challenges in remote sensing of plant canopy reflectance and fluorescence. J. Exp. Bot. 2009, 60, 2987-3004.
3. Maier, S.W.; Günther, K.P.; Stellmes, M. Sun-induced fluorescence: A new tool for precision farming. In Digital Imaging and Spectral Techniques: Applications to Precision Agriculture and Crop Physiology; VanToai, T., Major, D., McDonald, M.; Schepers, J., Tarpley, L, Eds; American Society of Agronomy: Madison, WI, USA, 2003; pp. 209-222.
4. Zarco-Tejada, P.J.; González-Dugo, V.; Berni, J.A.J. Fluorescence, temperature and narrow-band indices acquired from a UAV platform for water stress detection using a micro-hyperspectral imager and a thermal camera. Remote Sens. Environ. 2012, 117, 322-337.
5. Zarco-Tejada, P.J.; Catalina, A.; González, M.R.; Martín, P. Relationships between net photosynthesis and steady-state chlorophyll fluorescence retrieved from airborne hyperspectral imagery. Remote Sens. Environ. 2013, 136, 247-258.
6. Van Wittenberghe, S.; Alonso, L.; Verrelst, J.; Hermans, I.; Valcke, R.; Veroustraete, F.; Moreno, J.; Samson, R. A field study on solar-induced chlorophyll fluorescence and pigment parameters along a vertical canopy gradient of four tree species in an urban environment. Sci. Total Environ. 2014, doi:10.1016/j.scitotenv.2013.07.024.
7. Alonso, L.; Gómez-Chova, L.; Vila-Francés, J.; Amorós-López, J.; Guanter, L.; Calpe, J.; Moreno, J. Improved Fraunhofer Line Discrimination method for vegetation fluorescence quantification. IEEE Geosci. Remote Sens. Lett. 2008, 5, 620-624.
8. Plascyk, J.A.; Gabriel, F.C. The Fraunhofer Line Discriminator MKII-An airborne instrument for precise and standardized ecological luminescence measurements. IEEE Trans. Instrum. Meas. 1975, 24, 306-313.
9. Theisen, A.F. Detecting chlorophyll fluorescence from orbit: The Fraunhofer Line Depth model. In From Laboratory Spectroscopy to Remotely Sensed Spectra of Terrestrial Ecosystems; Muttiah, R.S., Ed.; Kluwer Academic Publishers: Dordrecht, The Netherlands, 2002; pp. 203-232.
10. Gómez-Chova, L.; Alonso, L.; Amorós-López, J.; Vila-Francés, J.; del Valle-Tascón, S.; Calpe, J.; Moreno J. Solar-induced fluorescence measurements using a field spectroradiometer. In Proceedings of the 2005 AIP Conference Proceedings Earth Observation for Vegetation Monitoring and Water Management, Naples, Italy, 10-11 November 2005; Volume 852, pp. 274-281.
11. Meroni, M.; Colombo, R. Leaf level detection of solar induced chlorophyll fluorescence by means of a subnanometer resolution spectroradiometer. Remote Sens. Environ. 2006, 103, 438-448.
12. Meroni, M.; Busetto, L.; Colombo, R.; Guanter, L.; Moreno, J.; Verhoef, W. Performance of spectral fitting methods for vegetation fluorescence quantification. Remote Sens. Environ. 2010, 114, 363-374.
13. Guanter, L.; Frankenberg, C.; Dudhia, A.; Lewis, P.E.; Gómez-Dans, J.; Kuze, A.; Suto, H.; Grainger, R.G. Retrieval and global assessment of terrestrial chlorophyll fluorescence from GOSAT space measurements. Remote Sens. Environ. 2012, 121, 236-251.
14. Guanter, L.; Rossini, M.; Colombo, R.; Meroni, M.; Frankenberg, C.; Lee, J-E; Joiner, J. Using field spectroscopy to assess the potential of statistical approaches for the retrieval of sun-induced chlorophyll fluorescence from ground and space. Remote Sens. Environ. 2013, 133, 52-61.
15. Hak, R.; Lichtenthaler, H.K.; Rinderle, U. Decrease of the fluorescence ratio F690/F730 during greening and development of leaves. Radiat. Environ. Biophys. 1990, 29, 329-336.
16. Pedrós, R.; Goulas, Y.; Jacquemoud, S.; Louis, J.; Moya, I. FluorMODleaf: A new leaf fluorescence emission model based on the PROSPECT model. Remote Sens. Environ. 2010, 114, 155-167.
17. Subhash, N.; Mohanan, C.N. Curve-fit analysis of chlorophyll fluorescence spectra: Application to nutrient stress detection in sunflower. Remote Sens. Environ. 1997, 60, 347-356.
18. Miller, J.R.; Berger, M.; Goulas, Y.; Jacquemoud, S.; Louis, J.; Moise, N.; Mohammed, G.; Moreno, J.; Moya, I.; Pedrós, R.; et al. Development of a Vegetation Fluorescence Canopy Model; Final Report; European Space Research and Technology Centre (ESTEC): Noordwijk, The Netherlands, 2005.
19. Van Wittenberghe, S.; Alonso, L.; Verrelst, J.; Verrelst, I.; Delegido, J.; Veroustraete, F.; Veroustraete, R.; Moreno, J.; Samson, R. Upward and downward solar-induced chlorophyll fluorescence yield indices of four tree species as indicators of traffic pollution in Valencia. Environ. Pollut. 2013, 173, 29-37.
20. Verhoef, W. Light scattering by leaf layers with application to canopy reflectance modeling: The SAIL model. Remote Sens. Environ. 1984, 16, 125-141.
21. Van der Tol, C.; Verhoef, W.; Timmermans, J.; Verhoef, A.; Su, Z. An integrated model of soil-canopy spectral radiances, photosynthesis, fluorescence, temperature and energy balance. Biogeosciences 2009, 6, 3109-3129.
22. Zhao, F.; Huang, Y.; Guo, Y.; Reddy, K.N.; Lee, M.A.; Fletcher, R.S.; Thomson, S.J. Early detection of crop injury from glyphosate on soybean and cotton using plant leaf hyperspectral data. Remote Sens. 2014, 6, 1538-1563.
23. Feret, J.B.; François, C.; Asner, G.P.; Gitelson, A.A.; Martin, R.E.; Bidel, L.P.; Ustin, S.L.; le Maire, G.; Jacquemoud, S. PROSPECT-4 and 5: Advances in the leaf optical properties model separating photosynthetic pigments. Remote Sens. Environ. 2008, 112, 3030-3043.
24. Damm, A.; Erler, A.; Hillen, W.; Meroni, M.; Schaepman, M.E.; Verhoef, W.; Rascher, U. Modeling the impact of spectral sensor configurations on the FLD retrieval accuracy of sun-induced chlorophyll fluorescence. Remote Sens. Environ. 2011, 115, 1882-1892.
25. Liu, L.; Zhang, Y.; Jiao, Q.; Peng, D. Assessing photosynthetic light-use efficiency using a solar-induced chlorophyll fluorescence and photochemical reflectance index. Int. J. Remote Sens. 2013, 34, 4264-4280.
26. Meroni, M.; Busetto, L.; Guanter, L.; Cogliati, S.; Crosta, G.F.; Migliavacca, M.; Panigada, C.; Rossini, M.; Colombo, R. Characterization of fine resolution field spectrometers using solar Fraunhofer lines and atmospheric absorption features. Appl. Opt. 2010, 49, 2858-2871.
27. Berk, A.; Anderson, G.P.; Acharya, P.K.; Chetwynd, J.H.; Bernstein, L.S.; Shettle, E.P.; Matthew, M.W.; Adler-Golden, S.M. MODTRAN-4 User's Manual; Air Force Research Laboratory: Bedford, MA, USA, 2000.
28. Strutz, T. Data Fitting and Uncertainty: A Practical Introduction to Weighted Least Squares and Beyond; Vieweg and Teubner: Amsterdam, The Netherlands, 2010.
29. Liu, L.; Zhang, Y.; Wang, J.; Zhao, C. Detecting solar-induced chlorophyll fluorescence from field radiance spectra based on the Fraunhofer Line Principle. IEEE Trans. Geosci. Remote Sens. 2005, 43, 827-832.
30. Zarco-Tejada, P.J.; Suárez, L.; González-Dugo, V. Spatial resolution effects on chlorophyll fluorescence retrieval in a heterogeneous canopy using hyperspectral imagery and radiative transfer simulation. IEEE Geisci. Remote Sens. Lett. 2013, 10, 937-941.
31. Buschmann, C. Variability and application of the chlorophyll fluorescence emission ratio red/far-red of leaves. Photosynth. Res. 2007, 92, 261-271.
32. Amoros-Lopez, J.; Gomez-Chova, L.; Vila-Frances, J.; Alonso, L.; Calpe, J.; Moreno, J.; del Valle-Tascon, S. Evaluation of remote sensing of vegetation fluorescence by the analysis of diurnal cycles. Int. J. Remote Sens. 2008, 29, 5423-5436.
33. Zhao, F.; Gu, X.; Verhoef, W.; Wang, Q.; Yu, T.; Liu, Q.; Huang, H.; Qin, W.; Chen, L.; Zhao, H. A spectral directional reflectance model of row crops. Remote Sens. Environ. 2010, 114, 265-285.