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Canadian Journal of Remote Sensing
Journal canadien de télédétection
Volume 37, 2011 - Issue 6
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Research Articles

Improving the retrieval of the biophysical parameters of vegetation canopies using the contribution index

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Pages 643-652 | Received 11 Aug 2011, Accepted 06 Dec 2011, Published online: 02 Jun 2014

References

  • Baarda, W. 1968. A testing procedure for use in Geodetic Networks, Publication on Geodesy, Netherlands Geodetic Commission, 2: 5.
  • Baret, F. and Guyot, G. Potentials and limits of vegetation indices for LAI and APAR assessment. Remote Sensing of Environment . 1991. Vol. 35, pp. 161-173. doi: 10.1016/0034-4257(91)90009-U
  • Brown, L. , Chen, j.M. , Leblanc, S.G. and Cihlar, J. A shortwave infrared modification to the simple ratio for LAI retrieval in boreal forests: An image and model analysis. Remote Sensing of Environment . 2000. Vol. 71, pp. 16-25. doi: 10.1016/S0034-4257(99)00035-8
  • Chatterjee, S., and Hadi, A.S. 1988. Sensitivity analysis in linear regression. John Wiley & Sons, New York.
  • Cho, M.A. and Skidmore, A.K. A new technique for extracting the red edge position from hyperspectral data: The linear extrapolation method. Remote Sensing of Environment . 2006. Vol. 101, pp. 181-193. doi: 10.1016/j.rse.2005.12.011
  • Clevers, J.G.P.W. , De Jong, S.M. , Epema, G.F. , Van der Meer, F. , Bakker, W.H. and Skidmore, A.K. Derivation of the red edge index using MERIS standard band setting. International Journal of Remote Sensing . 2002. Vol. 23, pp. 3169-3184. doi: 10.1080/01431160110104647
  • Dawson, T.P. and Curran, P.J. A new technique for interpolating red edge position. International Journal of Remote Sensing . 1998. Vol. 19, pp. 2133-2139. doi: 10.1080/014311698214910
  • Dunagan, S.C. , Gilmore, M.S. and Varekamp, J.C. Effects of mercury on visible/near-infrared reflectance spectra of mustard spinach plants. Environmental Pollution . 2007. Vol. 148, No. 1, pp. 301-311. doi: 10.1016/j.envpol.2006.10.023
  • Goel, N.S. and Strebel, D.E. Inversion of vegetation canopy reflectance models for estimating agronomic variable. I. Problem definition and initial results using the Suits’ model. Remote Sensing of Environment . 1983. Vol. 13, pp. 487-507. doi: 10.1016/0034-4257(83)90055-X
  • Goel, N.S. and Thompson, R.L. Inversion of vegetation canopy reflectance models for estimating agronomic variables. V. Estimation of leaf area index and average leaf inclination angle using measured canopy reflectance. Remote Sensing of Environment . 1984. Vol. 15, pp. 69-85. doi: 10.1016/0034-4257(84)90028-2.
  • Haboudane, D., Miller, J.R., Pattey, E., Zarco-Tejada, P.J., and Strachan, I.B. 2004. Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture. Remote Sensing of Environment, Vol. 90, pp. 337–352. doi: 10.1016/j.rse.2003.12.013.
  • Haboudane, D., Miller, J.R., Tremblay, N., Zarco-Tejada, P.J., and Dextraze, L. 2002. Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture. Remote Sensing of Environment, Vol. 81, pp. 416–426. doi: 10.1016/S0034-4257(02)00018-4.
  • Hoaglin, D.C., and Welsch, R.E. 1978. The hat matrix in regression and ANOVA. The American Statistician, Vol. 32, p. 1. doi: 10.2307/2683469.
  • Jacquemoud, S., and Baret, F. 1990. Prospect: A model of leaf optical properties. Remote Sensing of Environment, Vol. 34, pp. 75–91. doi: 10.1016/0034-4257(90)90100-Z.
  • Jacquemoud, S., Baret, F., Andrieu, B., Danson, F.M., and Jaggard, K. 1995. Extraction of vegetation biophysical parameters by inversion of the PROSPECT +SAIL models on sugar-beet canopy reflectance data: application to TM and AVIRIS sensors. Remote Sensing of Environment, Vol. 52, pp. 163–172. doi: 10.1016/0034-4257(95)00018-V.
  • Jacquemoud, S., Bacour, C., Polive, H., and Fangi, J.P. 2000. Comparison of four radiative transfer models to simulate plant canopies reflectance: Direct and inverse mode. Remote Sensing of Environment, Vol. 74, pp. 417–481. doi: 10.1016/S0034-4257(00)00139-5.
  • Jacquemoud, S., Verhoef, W., Baret, F., Bacour, C., Zarco-Tejada, P., Asner, G., Francois, C., and Ustin, S. 2009. PROSPECT + SAIL models: A review of use for vegetation characterization. Remote Sensing of Environment, Vol. 113, pp. S56–S66. doi: 10.1016/j.rse.2008.01.026.
  • Li, X., Wang, J, Hu, B., and Strahler, A.H. 1998. On utilization of a priori – knowledge in inversion remote sensing models. Science in China, Vol. 41, p. 6. doi: 10.1007/BF02916866.
  • Liang, S. 2008. Advance in Remote Sensing, System, Modeling, Inversion and Application. Springer, USA.
  • Kimes, D.S., Knyazikhin, Y., Privette, J.L., Abuelgasim, A.A., and Gao, F. 2000. Inversion methods for physically-based models. Remote Sensing Reviews, Vol. 18, pp. 381–439. doi: 10.1080/02757250009532396.
  • Makowski, D., Hiller, J., Wallach, D., Andrieu, B., and Jeuffroy, M.H. 2006. Parameters estimation for crop propose within the CEOS Land Product Validation subgroup. IEEE Transaction on Geosciences and Remote Sensing, Vol. 44, pp. 1804–1817. doi: 10.1109/TGRS.2006.872529.
  • Miller, J.R., Hare, E.W., and Wu, J. 1990. Quantitative characterization of the vegetation red edge reflectance 1. An inverted-Gaussian reflectance model. International Journal of Remote Sensing, Vol. 11, No. 10, pp. 1755–1773. doi: 10.1080/01431169008955128.
  • O'Neill, N.T. , Zagolski, F. , Bergeron, M. , Royer, A. , Miller, R.J. and Freemantle, J. Atmospheric correction validation of CASI images acquired over the BOREAS southern study area. Canadian Journal of Remote Sensing . 1997. Vol. 23, pp. 143-162.
  • Pattey, E., Strachan, I.B., Boisvert, J.B., Desjardins, R.L., and McLaughlin, N. 2001. Effect of nitrogen application rate and weather on corn using micrometeorological and hyperspectral reflectance measurements. Agricultural and Forest Meteorology, Vol. 108, pp. 85–99. doi: 10.1016/S0168-1923(01)00232-5.
  • Privette, J.L., Emery, W.J., and Schimel, D.S. 1996. Inversion of a vegetation reflectance model with NOAA AVHRR data. Remote Sensing of Environment, Vol. 58, pp. 187–200. doi: 10.1016/S0034-4257(96)00066-1.
  • Smith A.M., Nadeaum C., Freemantle J.I.H., Teillet P.M., Kehler I., Daub, N., Bourgeois, G. de Jong, R. 2005. Leaf area index from CHRIS satellite and application in plant yield estimation. Proceeding of 26 th Canadian Symposium on Remote Sensing, Wolfville, Nova Scotia.
  • Strachan, I.B. , Pattey, E. and Boisvert, B.J. Impact of nitrogen and environmental conditions on corn as detected by hyperspectral reflectance. Remote Sensing of Environment . 2002. Vol. 80, No. 2, pp. 213-224. doi: 10.1016/S0034-4257(01)00299-1
  • Verhoef, W. Light scattering by leaf layers with application to canopy reflectance modeling: the SAIL model. Remote Sensing of Environment . 1984. Vol. 16, pp. 125-141. doi: 10.1016/0034-4257(84)90057-9
  • Wang, J.G. Analysis of effects of observed elements in network. Journal of Wuhan Technical University of Surveying and Mapping . 1987. Vol. 12, No. 4, pp. 74-84.
  • Weiss, M. , Baret, F. , Myneni, R.B. , Pragbere, A. and Knyazikhin, Y. Investigation of a model inversion technique to estimate canopy biophysical variables from spectral and directional reflectance data. Agronomie . 2000. Vol. 20, No. 1, pp. 3-22. doi: 10.1051/agro:2000105

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