The study demonstrates that the integration of remote sensing and in situ data could be important in providing more accurate estimates of E. grandis state in KwaZulu Natal, South Africa compared to remote sensing models. Such modelling effort would become important at the regional scale in the near future as space-borne imaging spectroscopy or hyperspectral sensors become more available. The potential for developing a radiative transfer function for predicting E. grandis at the leaf level has also been demonstrated. This effort needs to be up-scaled to the canopy level.
Reference:
Cho, M.A., Van Aardt, J. et al. 2009. Integrating remote sensing and ancillary data for regional ecosystem assessment: Eucalyptus Grandis agro-system in KwaZulu-Natal, South Africa. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Cape Town, South Africa, 12-17 July 2009, pp 264-267
Cho, M. A., Van Aardt, J., Main, R. S., Majeke, B., Mathieu, R. S., Norris-Rogers, M., ... Ramoelo, A. (2009). Integrating remote sensing and ancillary data for regional ecosystem assessment: eucalyptus grandis agro-system in kwazulu-Natal, South Africa. http://hdl.handle.net/10204/3984
Cho, Moses A, J Van Aardt, Russel S Main, B Majeke, Renaud SA Mathieu, M Norris-Rogers, M Du Plessis, and Abel Ramoelo. "Integrating remote sensing and ancillary data for regional ecosystem assessment: eucalyptus grandis agro-system in kwazulu-Natal, South Africa." (2009): http://hdl.handle.net/10204/3984
Cho MA, Van Aardt J, Main RS, Majeke B, Mathieu RS, Norris-Rogers M, et al, Integrating remote sensing and ancillary data for regional ecosystem assessment: eucalyptus grandis agro-system in kwazulu-Natal, South Africa; 2009. http://hdl.handle.net/10204/3984 .
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