ACKNOWLEDGMENT
The support of the NSERC Discovery Grant RGPIN-386183 to Dr. Yuhong He is
gratefully acknowledged. Sections 7.2, 7.3.4, and 7.5, and Figures 7.2 and 7.4 are
used with the permission of the Canadian Aeronautics and Space.
REFERENCES
Blackburn, G. A. 1998. Quantifying chlorophylls and carotenoids at leaf and canopy scales: An
evaluation of some hyperspectral approaches. Remote Sensing of Environment 66:273–285.
Ciganda, V., Gitelson, A., and Schepers, J. 2009. Non-destructive determination of maize leaf
and canopy chlorophyll content. Journal of Plant Physiology 166:157–167.
Curran, P. J., Kupiec, J. A., and Smith, G. M. 1997. Remote sensing the biochemical
composition of a slash pine canopy. IEEE Transactions on Geoscience and Remote Sensing
35:415–420.
Datt, B. 1999. Remote sensing of water content in eucalyptus leaves. Australian Journal of
Botany 47:909–923.
Daughtry, C. S. T., Walthall, C. L., Kim, M. S., De Colstoun, E. B., and McMurtrey, III, J. E.
2000. Estimating corn leaf chlorophyll concentration from leaf and canopy reflectance.
Remote Sensing of Environment 74:229–239.
Evans, J. R. 1989. Photosynthesis and nitrogen relationships in leaves of C3 plants. Oecologia
78:9–19.
Gamon, J. A., and Surfus, J. S. 1999. Assessing leaf pigment content and activity with a
reflectometer. New Phytologist 143:105–117.
Gitelson, A. A., and Merzlyak, M. N. 1994. Spectral reflectance changes associated with
autumn senescence of Aesculus hippocastanum L. and Acer platanoides L. leaves. Spectral
features and relation to chlorophyll estimation. Journal of Plant Physiology 143:286–292.
Gitelson, A. A., and Merzlyak, M. N. 1997. Remote estimation of chlorophyll content in higher
plant leaves. International Journal of Remote Sensing 18:2691–2697.
Gitelson, A. A., Viña, A., Rundquist, D. C., Ciganda, V., and Arkebauer, T. J. 2005. Remote
estimate of canopy chlorophyll content in crops. Geophysical Research Letters 32:1–4.
Gitelson, A. A., Viña, A., Verma, S. B., Rundquist, D. C., Arkebauer, T. J., Keydan, G., Leavitt,
B., Ciganda, V., Burba, G. G., and Suyker, A. E. 2006. Relationship between gross primary
production and chlorophyll content in crops: Implications for the synoptic monitoring of
vegetation productivity. Journal of Geophysical Research 111:D08S11.
Gitelson, A. G., Yacobi, Y. Z., Karnieli, A., and Kress, N. 1996. Reflectance spectra of polluted
marine waters in Haifa Bay, Southeastern Mediterranean. Features and application for remote
estimation of chlorophyll concentration. Israel Journal of Earth Sciences 45:127–136.
He, Y., and Mui, A. 2010. Scaling up semi-arid grassland biochemical content from the leaf to
the canopy level: Challenges and opportunities. Sensors 10:11072–11087.
Jago, R. A., Cutler, M. E. J., and Curran, P. J. 1999. Estimating canopy chlorophyll
concentration from field and airborne spectra. Remote Sensing of Environment 68:217–224.
Johnson, L. F., Hlavka, C. A., and Peterson, D. L. 1994. Multivariate analysis of AVIRIS data
for canopy biochemical estimation along the oregon transect. Remote Sensing of Environment 47:216–230.
136
ESTIMATING GRASSLAND CHLOROPHYLL CONTENT
The support of the NSERC Discovery Grant RGPIN-386183 to Dr. Yuhong He is
gratefully acknowledged. Sections 7.2, 7.3.4, and 7.5, and Figures 7.2 and 7.4 are
used with the permission of the Canadian Aeronautics and Space.
REFERENCES
Blackburn, G. A. 1998. Quantifying chlorophylls and carotenoids at leaf and canopy scales: An
evaluation of some hyperspectral approaches. Remote Sensing of Environment 66:273–285.
Ciganda, V., Gitelson, A., and Schepers, J. 2009. Non-destructive determination of maize leaf
and canopy chlorophyll content. Journal of Plant Physiology 166:157–167.
Curran, P. J., Kupiec, J. A., and Smith, G. M. 1997. Remote sensing the biochemical
composition of a slash pine canopy. IEEE Transactions on Geoscience and Remote Sensing
35:415–420.
Datt, B. 1999. Remote sensing of water content in eucalyptus leaves. Australian Journal of
Botany 47:909–923.
Daughtry, C. S. T., Walthall, C. L., Kim, M. S., De Colstoun, E. B., and McMurtrey, III, J. E.
2000. Estimating corn leaf chlorophyll concentration from leaf and canopy reflectance.
Remote Sensing of Environment 74:229–239.
Evans, J. R. 1989. Photosynthesis and nitrogen relationships in leaves of C3 plants. Oecologia
78:9–19.
Gamon, J. A., and Surfus, J. S. 1999. Assessing leaf pigment content and activity with a
reflectometer. New Phytologist 143:105–117.
Gitelson, A. A., and Merzlyak, M. N. 1994. Spectral reflectance changes associated with
autumn senescence of Aesculus hippocastanum L. and Acer platanoides L. leaves. Spectral
features and relation to chlorophyll estimation. Journal of Plant Physiology 143:286–292.
Gitelson, A. A., and Merzlyak, M. N. 1997. Remote estimation of chlorophyll content in higher
plant leaves. International Journal of Remote Sensing 18:2691–2697.
Gitelson, A. A., Viña, A., Rundquist, D. C., Ciganda, V., and Arkebauer, T. J. 2005. Remote
estimate of canopy chlorophyll content in crops. Geophysical Research Letters 32:1–4.
Gitelson, A. A., Viña, A., Verma, S. B., Rundquist, D. C., Arkebauer, T. J., Keydan, G., Leavitt,
B., Ciganda, V., Burba, G. G., and Suyker, A. E. 2006. Relationship between gross primary
production and chlorophyll content in crops: Implications for the synoptic monitoring of
vegetation productivity. Journal of Geophysical Research 111:D08S11.
Gitelson, A. G., Yacobi, Y. Z., Karnieli, A., and Kress, N. 1996. Reflectance spectra of polluted
marine waters in Haifa Bay, Southeastern Mediterranean. Features and application for remote
estimation of chlorophyll concentration. Israel Journal of Earth Sciences 45:127–136.
He, Y., and Mui, A. 2010. Scaling up semi-arid grassland biochemical content from the leaf to
the canopy level: Challenges and opportunities. Sensors 10:11072–11087.
Jago, R. A., Cutler, M. E. J., and Curran, P. J. 1999. Estimating canopy chlorophyll
concentration from field and airborne spectra. Remote Sensing of Environment 68:217–224.
Johnson, L. F., Hlavka, C. A., and Peterson, D. L. 1994. Multivariate analysis of AVIRIS data
for canopy biochemical estimation along the oregon transect. Remote Sensing of Environment 47:216–230.
136
ESTIMATING GRASSLAND CHLOROPHYLL CONTENT