FluorWPS: A Monte Carlo ray-tracing model to compute sun-induced chlorophyll fluorescence of three-dimensional canopy

Remote Sensing of Environment

Volumn 187, Issue , 2016, Pages 385-399

  Zhao, Feng ^a   Dai, Xu ^a   Verhoef, Wout ^b   Guo, Yiqing ^a,c   van der Tol, Christiaan ^b   Li, Yuguang ^a,d   Huang, Yanbo ^e  

^a BEIHANG UNIVERSITY   (China)

^b UNIVERSITY OF TWENTE   (Netherlands)

^c UNIVERSITY OF NEW SOUTH WALES   (Australia)

^d University of Washington   (United States)

^e AGRICULTURAL RESEARCH SERVICE   (United States)

Author keywords

Fluorescence model with weighted photon spread method (FluorWPS); Monte Carlo model; Radiative transfer; Sun induced chlorophyll fluorescence (SIF)

Indexed keywords

ANGULAR DISTRIBUTION; CHLOROPHYLL; FLUORESCENCE; MEAN SQUARE ERROR; MONTE CARLO METHODS; PHOTONS; RADIATIVE TRANSFER;

CHLOROPHYLL FLUORESCENCE; COEFFICIENT OF DETERMINATION; FLUORESCENCE EXCITATION; MONTE CARLO MODEL; MONTE-CARLO RAY TRACING; ROOT MEAN SQUARE ERRORS; SCIENTIFIC INVESTIGATION; SPREAD METHODS;

RAY TRACING;

CHLOROPHYLL; FLUORESCENCE; MONTE CARLO ANALYSIS; NUMERICAL METHOD; NUMERICAL MODEL; RADIATIVE TRANSFER; SOLAR RADIATION; THREE-DIMENSIONAL MODELING;

EID: 84993982831     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2016.10.036     Document Type: Article

References (40)

1. Burkart, A., Schickling, A., Mateo, M.P.C., Wrobel, T.J., Rossini, M., Cogliati, S., Tommaso, J., Rascher, U., A method for uncertainty assessment of passive sun-induced chlorophyll fluorescence retrieval using an infrared reference light. IEEE Sensors J. 15:8 (2015), 4603–4611.
2. Cogliati, S., Verhoef, W., Kraft, S., Sabater, N., Alonso, L., Vicent, J., Moreno, J., Drusch, M., Colombo, R., Retrieval of sun-induced fluorescence using advanced spectral fitting methods. Remote Sens. Environ. 169 (2015), 344–357.
3. Daumard, F., Champagne, S., Fournier, A., Goulas, Y., Ounis, A., Hanocq, J.F., Moya, I., A field platform for continuous measurement of canopy fluorescence. IEEE Trans. Geosci. Remote Sens. 48:9 (2010), 3358–3368.
4. Disney, M., Lewis, P., North, P., Monte Carlo ray tracing in optical canopy reflectance modelling. Remote Sens. Rev. 18 (2000), 163–196.
5. ESA, Report for mission selection: FLEX. ESA SP-1330/2 (2 volumes series) Noordwijk, 2015, European Space Agency, The Netherlands.
6. Govaerts, Y.M., Verstraete, M.M., Raytran: a Monte Carlo ray-tracing model to compute light scattering in three-dimensional heterogeneous media. IEEE Trans. Geosci. Remote Sens. 36 (1998), 493–505.
7. Govindjee, G., Chlorophyll a fluorescence: a bit of basics and history. Chlorophyll a Fluorescence: a Signature of Photosynthesis, 2004, Springer, Dordrecht, 1–42.
8. Guanter, L., Alonso, L., Gómez-Chova, L., Amorós-López, J., Vila, J., Moreno, J., Estimation of solar-induced vegetation fluorescence from space measurements. Geophys. Res. Lett., 34(8), 2007.
9. Jacquemoud, S., Baret, F., PROSPECT: a model of leaf optical properties spectra. Remote Sens. Environ. 34 (1990), 75–91.
10. Jee, G., Sixty-three years since Kautsky: chlorophyll a fluorescence. Aust. J. Plant Physiol. 22 (1995), 131–160.
11. Joiner, J., Yoshida, Y., Vasilkov, A.P., Corp, L.A., Middleton, E.M., First observations of global and seasonal terrestrial chlorophyll fluorescence from space. Biogeosciences 8:3 (2011), 637–651.
12. Lewis, P., Three-dimensional plant modelling for remote sensing simulation studies using the botanical plant modelling system. Agric. Environ. 19 (1999), 185–210.
13. Liu, X., Liu, L., Zhang, S., Zhou, X., New spectral fitting method for full-spectrum solar-induced chlorophyll fluorescence retrieval based on principal components analysis. Remote Sens. 7:8 (2015), 10626–10645.
14. Louis, J., Cerovic, Z.G., Moya, I., Quantitative study of fluorescence excitation and emission spectra of bean leaves. J. Photochem. Photobiol. B 85 (2006), 65–71.
15. Maier, S.W., Modeling the radiative transfer in leaves in the 300 nm to 2.5[mu] wavelength region taking into consideration chlorophyll fluorescence: the leaf model SLOPE. Doctoral Dissertation, 2000, Deutsches Zentrum für Luft-und Raumfahrt, Bibliotheks-und Informationswesen.
16. Maxwell, K., Johnson, G.N., Chlorophyll fluorescence—a practical guide. J. Exp. Bot. 51:345 (2000), 659–668.
17. 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. 113:10 (2009), 2037–2051.
18. Meroni, M., Busetto, L., Colombo, R., Guanter, L., Moreno, J., Verhoef, W., Performance of spectral fitting methods for vegetation fluorescence quantification. Remote Sens. Environ. 114 (2010), 363–374.
19. Miller, J.R., Berger, M., Goulas, Y., Jacquemoud, S., Louis, J., Mohammed, G., Moise, N., Moreno, J., Moya, I., Zarco-Tejada, P.J., Development of a vegetation fluorescence canopy model. ESTEC Contract, 16365(02), 2005.
20. 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. 114 (2010), 155–167.
21. Porcar-Castell, A., Tyystjärvi, E., Atherton, J., van der Tol, C., Flexas, J., Pfündel, E.E., Erhard, E., Moreno, J., Frankenberg, C., Berry, J.A., Linking chlorophyll a fluorescence to photosynthesis for remote sensing applications: mechanisms and challenges. J. Exp. Bot., 2014 (eru191).
22. Rascher, U., Alonso, L., Burkart, A., Cilia, C., Cogliati, S., Colombo, R., Damm, A., Drusch, M., Guanter, L., Hyvärinen, T., Sun-induced fluorescence–a new probe of photosynthesis: first maps from the imaging spectrometer HyPlant. Glob. Chang. Biol. 21:12 (2015), 4673–4684.
23. Rosema, A., Verhoef, W., Schroote, J., Snel, J.F.H., Simulating fluorescence light-canopy interaction in support of laser-induced fluorescence measurements. Remote Sens. Environ. 37:2 (1991), 117–130.
24. Rosema, A., Snel, J.F.H., Zahn, H., Buurmeijer, W.F., Van Hove, L.W.A., The relation between laser-induced chlorophyll fluorescence and photosynthesis. Remote Sens. Environ. 65:2 (1998), 143–154.
25. Sušila, P., Nauš, J., A Monte Carlo study of the chlorophyll fluorescence emission and its effect on the leaf spectral reflectance and transmittance under various conditions. Photochem. Photobiol. Sci. 6 (2007), 894–902.
26. Thompson, R.L., Goel, N.S., Two models for rapidly calculating bidirectional reflectance of complex vegetation scenes: Photon spread (PS) model and statistical photon spread (SPS) model. Remote Sens. Rev. 16 (1998), 157–207.
27. Van der Tol, C., Verhoef, W., Timmermans, J., Verhoef, A., Su, X., An integrated model of soil-canopy spectral radiances, photosynthesis, fluorescence, temperature and energy balance. Biogeosciences 6 (2009), 3109–3129.
28. Van Wittenberghe, S., Alonso, L., Verrelst, J., Hermans, I., Delegido, J., Veroustraete, F., Valcke, 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. 173 (2013), 29–37.
29. Van Wittenberghe, S., Alonso, L., Verrelst, J., Moreno, J., Samson, R., Bidirectional sun-induced chlorophyll fluorescence emission is influenced by leaf structure and light scattering properties—a bottom-up approach. Remote Sens. Environ. 158 (2015), 169–179.
30. Verhoef, W., Light scattering by leaves with application to canopy reflectance modelling: the SAIL model. Remote Sens. Environ. 16 (1984), 125–178.
31. Verhoef, W., Earth observation modeling based on layer scattering matrices. Remote Sens. Environ. 17 (1985), 165–178.
32. Verhoef, W., Modeling vegetation fluorescence observations. Proceedings of the EARSel 7th SIG-Imaging Spectroscopy Workshop, 2011.
33. Verrelst, J., Tol, C.V.D., Magnani, F., Sabater, N., Rivera, J.P., Mohammed, G. et al., Evaluating the predictive power of sun-induced chlorophyll fluorescence to estimate net photosynthesis of vegetation canopies: a scope modeling study. Remote Sens. Environ. 176 (2016), 139–151.
34. Widlowski, J.-L., Robustelli, M., Disney, M., Gastellu-Etchegorry, J.-P., Lavergne, T., Lewis, P. et al., The RAMI On-line Model Checker (ROMC): A web-based benchmarking facility for canopy reflectance models. Remote Sens. Environ. 112:3 (2008), 1144–1150.
35. 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. 136 (2013), 247–258.
36. 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. 114:2 (2010), 265–285.
37. Zhao, F., Guo, Y., Huang, Y., Reddy, K.N., Lee, M.A., Fletcher, R.S., Thomson, S.J., Early detection of crop injury from herbicide glyphosate by leaf biochemical parameter inversion. Int. J. Appl. Earth Obs. Geoinf. 31 (2014), 78–85.
38. Zhao, F., Guo, Y., Verhoef, W., Gu, X., Liu, L., Yang, G., A method to reconstruct the solar-induced canopy fluorescence spectrum from hyperspectral measurements. Remote Sens. 6:10 (2014), 10171–10192.
39. Zhao, F., Li, Y., Dai, X., Verhoef, W., Guo, Y., Shang, H., Gu, X., Huang, Y., Yu, T., Huang, J., Simulated impact of sensor field of view and distance on field measurements of bidirectional reflectance factors for row crops. Remote Sens. Environ. 156 (2015), 129–142.
40. Zhao, F., Guo, Y., Huang, Y., Verhoef, W., Tol, C.V.D., Dai, B., Liu, L., Zhao, H., Liu, G., Quantitative estimation of fluorescence parameters for crop leaves with Bayesian inversion. Remote Sens. 7:10 (2015), 14179–14199.