Remote estimation of crop chlorophyll content using spectral indices derived from hyperspectral data

IEEE Transactions on Geoscience and Remote Sensing

Volumn 46, Issue 2, 2008, Pages 423-436

  Haboudane, Driss ^a   Tremblay, Nicolas ^b   Miller, John R ^c   Vigneault, Philippe ^b  

^a UNIVERSITÉ DU QUÉBEC À CHICOUTIMI   (Canada)

^b AGRICULTURE AND AGRI FOOD CANADA   (Canada)

^c YORK UNIVERSITY   (Canada)

Author keywords

Chlorophyll content; Chlorophyll estimation; Combined indices; Crop type effect; Hyperspectral; Leaf area index (LAI); Precision agriculture

Indexed keywords

ALGORITHMS; CROPS; DATA REDUCTION; REMOTE SENSING; SATELLITE IMAGERY;

CHLOROPHYLL CONTENT; CHLOROPHYLL ESTIMATION; CROP-TYPE EFFECT; LEAF AREA INDEX (LAI); PRECISION AGRICULTURE;

CHLOROPHYLL;

EID: 38349169572     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2007.904836     Document Type: Conference Paper

References (60)

1. A. Vina, A. A. Gitelson, D. C. Rundquist, G. Keydan, B. Leavitt, and J. Schepers, "Monitoring maize (Zea mays L.) phenology with remote sensing," Agron. J., vol. 96, no. 4, pp. 1139-1147, 2004.
2. P. D. Jamieson, J. R. Porter, J. Goudrian, J. T. Ritchie, H. van Keulen, and W. Stol, "A comparison of the models AFRCWHEAT2, CERESwheat, Sirius, SUCROS2 and SWHEAT with measurements from wheat grown under drought," Field Crops Res., vol. 55, no. 1, pp. 23-44, Jan. 1998.
3. S. Asseng, H. van Keulen, and W. Stol, "Performance and application of the APSIM Nwheat model in the Netherlands," Eur. J. Agron., vol. 12, no. 1, pp. 37-54, Jan. 2000.
4. G. A. Carter, "Ratios of leaf reflectances in narrow wavebands as indicators of plant stress," Int. J. Remote Sens., vol. 15, no. 3, pp. 697-703, 1994.
5. G. Le Maire, C. Francois, and E. Dufrene, "Towards universal broad leaf chlorophyll indices using PROSPECT simulated database and hyperspectral reflectance measurements," Remote Sens. Environ., vol. 89, no. 1, pp. 1-28, Jan. 2004.
6. P. M. Hansen and J. K. Schjoerring, "Reflectance measurement of canopy biomass and nitrogen status in wheat crops using normalized difference vegetation indices and partial least squares regression," Remote Sens. Environ., vol. 86, no. 4, pp. 542-553, Aug. 2003.
7. T. M. Blackmer, J. S. Schepers, and G. E. Varvel, "Light reflectance compared with other nitrogen stress measurements in corn leaves," Agron. J., vol. 86, no. 6, pp. 934-938, 1994.
8. T. M. Blackmer, J. S. Schepers, G. E. Varvel, and E. A. Walter-Shea, "Nitrogen deficiency detection using reflected shortwave radiation from irrigated corn canopies," Agron. J., vol. 88, no. 1, pp. 1-5, 1996.
9. C. S. T. Daughtry, C. L. Walthall, M. S. Kim, E. Brown de Colstoun, E. McMurtrey, III, and J. E. McMurtrey, III, "Estimating corn leaf chlorophyll concentration from leaf and canopy reflectance," Remote Sens. Environ., vol. 74, no. 2, pp. 229-239, Nov. 2000.
10. A. A. Gitelson and M. N. Merzlyak, "Remote sensing of chlorophyll concentration in higher plant leaves," Adv. Space Res., vol. 22, no. 5, pp. 689-692, 1998.
11. R. E. E. Jongschaap and R. Booij, "Spectral measurements at different spatial scales in potato: Relating leaf, plant and canopy nitrogen status," Int. J. Appl. Earth Obs. Geoinformation, vol. 5, no. 3, pp. 205-218, Sep. 2004.
12. D. Haboudane, J. R. Miller, N. Tremblay, P. J. Zarco-Tejada, and L. Dextraze, "Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture," Remote Sens. Environ., vol. 81, no. 2/3, pp. 416-426, Aug. 2002.
13. M. E. Schaepman, B. Koetz, G. Schaepman-Strub, and K. I. Itten, "Spectrodirectional remote sensing for the improved estimation of biophysical and -chemical variables: Two case studies," Int. J. Appl. Earth Obs. Geoinformation, vol. 6, no. 3/4, pp. 271-282, Mar. 2005.
14. P. J. Zarco-Tejada, A. Berjon, R. Lopez-Lozano, J. R. Miller, P. Martin, V. Cachorro, M. R. Gonzalez, and A. de Frutos, "Assessing vineyard condition with hyperspectral indices: Leaf and canopy reflectance simulation in a row-structured discontinuous canopy," Remote Sens. Environ., vol. 99, no. 3, pp. 271-287, Nov. 2005.
15. M. S. Moran, Y. Inoue, and E. M. Barnes, "Opportunities and limitations for image-based remote sensing in precision crop management," Remote Sens. Environ., vol. 6.1, no. 3, pp. 319-346, Sep. 1997.
16. D. K. Cassel, O. Wendroth, and D. R. Nielson, "Assessing a renovated agricultural research, station for future experimentation," Agron. J., vol. 92, pp. 98-105, 2000.
17. E. W. Chappelle, M. S. Kim, and J. E. McMurtrey, III, "Ratio analysis of reflectance spectra (RARS): An algorithm for the remote estimation of the concentrations of chlorophyll A, chlorophyll B, and the carotenoids in soybean leaves," Remote Sens. Environ., vol. 39, no. 3, pp. 239-247, Mar. 1992.
18. G. A. Blackburn, "Spectral indices for estimating photosynthetic pigment concentrations: A. test using senescent tree leaves," Int. J. Remote Sens., vol. 19, no. 4, pp. 657-675, 1998.
19. P. H. Sampson, G. H. Mohammed, P. J. Zarco-Tejada, J. R. Miller, T. L. Noland, D. Irving, et al. "The bioindicators of forest condition project: A physiological, remote sensing approach," For. Chron., vol. 76, no. 6, pp. 941-952, 2000.
20. S. Jacquemoud, C. Bacour, H. Poilve, and J.-.P. Frangi, "Comparison of four radiative transfer models to simulate plant canopies reflectance: Direct and inverse mode," Remote Sens. Environ., vol. 74, no. 3, pp. 471-481, Dec. 2000.
21. V. Demarez and J. P. Gastellu-Etchegorry, "A modeling approach for studying forest chlorophyll content," Remote Sens. Environ., vol. 71, no. 2, pp. 226-238, Feb. 2000.
22. P. J. Zarco-Tejada, J. R. Miller, T. L. Noland, G. H. Mohammed, and P. H. Sampson, "Scaling-up and model inversion methods with narrow-band optical indices for chlorophyll content estimation in closed forest canopies with hyperspectral data," IEEE Trans. Geosci. Remote Sens., vol. 39, no. 7, pp. 1491-1507, Jul. 2001.
23. J. P. Gastellu-Etchegorry, E. Martin, and F. Gascon, "DART: A 3D model for simulating satellite images and studying surface radiation budget," Int. J. Remote Sens., vol. 25, no. 1, pp. 73-96, 2004.
24. A. A. Gitelson, M. N. Merzyak, and H. K. Lichtenthaler, "Detection of red edge position and chlorophyll content by reflectance measurements near 700 nm," J. Plant Physiol., vol. 148, no. 3/4, pp. 501-508, 1996.
25. G. A. Blackburn, "Relationships between spectral reflectance and pigment concentrations in stacks of deciduous broadleaves," Remote Sens. Environ., vol. 70, no. 2, pp. 224-237, Nov. 1999.
26. B. Datt, "A new reflectance index for remote sensing of chlorophyll content in higher plants: Tests using Eucalyptus leaves," J. Plant Physiol., vol. 154, no. 1, pp. 30-36, 1999.
27. N. H. Broge and E. Leblanc, "Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyll density," Remote Sens. Environ., vol. 76, no. 2, pp. 156-172, May 2000.
28. B. H. Broge and J. V. Mortensen, "Deriving green crop area index and canopy chlorophyll density of winter wheat from spectral reflectance data," Remote Sens. Environ., vol. 81, no. 1, pp. 45-57, Jul. 2002.
29. D. Haboudane, J. R. Miller, E. Pattey, I. Strachan, and P. J. Zarco-Tejada, "Effects of chlorophyll concentrations on green LAI prediction in crop canopies: Modeling, validation and heterogeneity assessment," in Proc. 1st Int. Symp. Recent Adv. Quantitative Remote Sens., Valencia, Spain, Sep. 16-20, 2002, pp. 891-899.
30. R. Munden, P. J. Curran, and J. A. Catt, "The relationship between red edge and chlorophyll concentration in the broad-balk winter wheat experiment at Rothamsted," Int. J. Remote Sens., vol. 15, no. 3, pp. 705-709, 1994.
31. D. Haboudane, J. R. Miller, E. Pattey, P. J. Zarco-Tejada, P. J. Strachan, and I. Strachan, "Hyperspectral vegetation, indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture," Remote Sens. Environ., vol. 90, no. 3, pp. 337-352, Apr. 2004.
32. P. J. Zarco-Tejada, "Hyperspectral remote sensing of closed forest canopies: Estimation of chlorophyll fluorescence and pigment content," Ph.D. dissertation, Graduate Programme Earth and Space Sci., York Univ., Toronto, ON, Canada, 2000.
33. P. J. Zarco-Tejada, J. R. Miller, A. Morales, A. Berjon, and J. Aguera, "Hyperspectral indices and model simulation for chlorophyll estimation in open-canopy tree crops," Remote Sens. Environ., vol. 90, no. 4, pp. 463-476, Apr. 2004.
34. B. F. Robinson and L. L. Biehl, "Calibration procedures for measurements of reflectance factor in remote sensing field research," Proc. SPIE, 1979, vol. 196, pp. 16-26.
35. N. T. O'Neill, F. Zagolski, M. Bergeron, A. Royer, J. R. Miller, and J. Freemantle, "Atmospheric correction validation of CASI images acquired over the BOREAS southern study area," Can. J. Remote Sens., vol. 23, no. 2, pp. 143-162, 1997.
36. J. W. Boardman and J. F. Huntington, "Mineral mapping with AVIRIS data," in Proc. Summaries 6th Annu. JPL Airborne Earth Sci. Workshop, 1996, pp. 9-11.
37. S. Jacquemoud and F. Baret, "Prospect: A model for leaf optical properties spectra," Remote Sens. Environ., vol. 34, no. 2, pp. 75-91, Nov. 1990.
38. S. Jacquemoud, S. L. Ustin, J. Verdebout, G. Schmuck, G. Andreoli, and B. Hosgood, "Estimating leaf biochemistry using the PROSPECT leaf optical properties model," Remote Sem. Environ., vol. 56, no. 3, pp. 194-202, Jun. 1996.
39. W. Verhoef, "Light scattering by leaf layers with application to canopy reflectance modeling: The SAIL model," Remote Sens. Environ., vol. 16, no. 2, pp. 125-141, Oct. 1984.
40. A. Kuusk, "The hot spot effect on a uniform, vegetative cover," Sov. J. Remote Sens., vol. 3, pp. 645-658, 1985.
41. W. Verhoef, Theory of Radiative Transfer Models Applied in Optical Remote Sensing of Vegetation Canopies. Wageningen, The Netherlands: Grafish Service Centrum Van. Gils, 1998.
42. N. S. Goel, "Models of vegetation canopy reflectance and their use in estimation of biophysical parameters from reflectance data," Remote Sens. Rev., vol. 4, pp. 1-212, 1988.
43. N. S. Goel, "Inversion of canopy reflectance models for estimation of biophysical parameters from reflectance data," in Theory and Applications of Optical Remote Sensing, G. Asrar, Ed. New York: Wiley, 1989, pp. 205-251.
44. A. A. Gitelson and M. N. Merzlyak, "Remote estimation of chlorophyll content in higher plant leaves," Int. J. Remote Sens., vol. 18, no. 12, pp. 2691-2697, Aug. 1997.
45. J. E. Vogelmann, B. N. Rock, and D. M. Moss, "Red edge spectral measurements from sugar maple leaves," Int. J. Remote Sens., vol. 14, no. 8, pp. 1563-1575, 1993.
46. M. S. Kim, C. S. T. Daughtry, E. W. Chappelle, J. E. McMurtrey, III, and C. L. Walthall, "The use of high spectral resolution bands for estimating absorbed photosynthetically active radiation (Apar)," in Proc. 6th Symp. Phys. Meas, and Signatures Remote Sens., Val D'Isere, France, Jan. 17-21, 1994, pp. 299-306.
47. J. Dash and P. J. Curran, "The Merris terrestrial chlorophyll index," Int. J. Remote Sens., vol. 15, pp. 1-12, 2004.
48. A. A. Gitelson, A. Vina, V. Ciganda, D. C. Rundquist, and T. J. Arkebauer, "Remote estimation of canopy chlorophyll content in crops," Geophys. Res. Lett., vol. 32, no. 8, pp. L08 403.1-L08 403.4, 2005. DOL10.1029/2005GL022688.
49. J. W. Rouse, R. H. Haas, J. A. Schell, D. W. Deering, and J. C. Harlan, "Monitoring the vernal advancements and retrogradation of natural vegetation," NASA/GSFC, Final Report, NASA, Greenbelt, MD, pp. 1-137, 1974.
50. O. Lillesaeter, "Spectral reflectance of partly transmitting leaves: Laboratory measurements and mathematical modeling," Remote Sens. Environ., vol. 12, no. 3, pp. 247-254, Jul. 1982.
51. F. Baret and G. Guyot, "Potentials and limits of vegetation indices for LAI and APAR assessment," Remote Sens. Environ., vol. 35, no. 2/3, pp. 161-173, Feb./Mar. 1991.
52. J.-L. Rougean and F. M. Breon, "Estimating PAR absorbed by vegetation from bidirectional reflectance measurements," Remote Sens. Environ., vol. 51, no. 3, pp. 375-384, Mar. 1995.
53. A. R. Huete, "A soil vegetation adjusted index (SAVI)," Remote Sens. Environ., vol. 25, pp. 295-309, 1988.
54. J. Qi, A. Chehbouni, A. R. Huete, Y. H. Keer, and S. Sorooshian, "A modified soil vegetation adjusted index," Remote Sens. Environ., vol. 48, no. 2, pp. 119-126, May 1994.
55. G. Rondeaux, M. Steven, and F. Baret, "Optimization of soil-adjusted vegetation indices," Remote Sens. Environ., vol. 55, no. 2, pp. 95-107, Feb. 1996.
56. F. Baret, G. Guyot, and D. J. Major, "TSAVI: A vegetation index which minimizes soil brightness effects on LAI and APAR estimation," in Proc. IGARSS and 12th Can. Symp. Remote Sens., Vancouver, BC, Canada, 1989, pp. 1355-1358.
57. N. Tremblay, M. H. Bouroubi, P. Vigneault, C. Bélec, D. Haboudane, J. Miller, and J. Lewis, "Effects of nitrogen fertilization, soil conductivity and topography on wheat and corn growth," in Proc. 8th Int. Conf. Precision Agriculture and Other Precision Resources Manage., Minneapolis, MN, Jul. 23-26, 2006.
58. N. Tremblay, Z. Wang, and C. Bélec, "Evaluation of the Dualex for the assessment of corn nitrogen status," J. Plant Nutr., vol. 30, no. 9, pp. 1355-1369, Sep. 2007.
59. P. Gong, R. Pu, G. S. Biging, and M. R. Larrieu, "Estimation of forest leaf area index using vegetation indices derived from hyperion hyperspectral data," IEEE Trans. Geosci. Remote Sens., vol. 41, no. 6, pp. 1355-1362, Jun. 2003.
60. A. Bannari, K. S. Khurshid, K. Staenz, and J. W. Schwarz, "A comparison of hyperspectral chlorophyll indices for wheat crop chlorophyll content estimation using laboratory reflectance measurements," IEEE Trans. Geosci., Remote Sem., vol. 45, no. 10, pp. 3063-3074, Oct. 2007.