Cho, Moses AVan Aardt, JMain, Russell SMajeke, BMathieu, Renaud SANorris-Rogers, MDu Plessis, MRamoelo, Abel2010-03-082010-03-082009-07Cho, 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 264-2679781424433957http://hdl.handle.net/10204/3984IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Cape Town, South Africa, 12-17 July 2009The 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.enHyperspectral remote sensingEucalyptus grandisSpectral indicesForestryEcosystemAgro-systemGeoscienceConference PresentationCho, 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/10204/3984Cho, 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/10204/3984Cho 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 .TY - Conference Presentation AU - Cho, Moses A AU - Van Aardt, J AU - Main, Russel S AU - Majeke, B AU - Mathieu, Renaud SA AU - Norris-Rogers, M AU - Du Plessis, M AU - Ramoelo, Abel AB - 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. DA - 2009-07 DB - ResearchSpace DP - CSIR KW - Hyperspectral remote sensing KW - Eucalyptus grandis KW - Spectral indices KW - Forestry KW - Ecosystem KW - Agro-system KW - Geoscience LK - https://researchspace.csir.co.za PY - 2009 SM - 9781424433957 T1 - Integrating remote sensing and ancillary data for regional ecosystem assessment: eucalyptus grandis agro-system in kwazulu-Natal, South Africa TI - Integrating remote sensing and ancillary data for regional ecosystem assessment: eucalyptus grandis agro-system in kwazulu-Natal, South Africa UR - http://hdl.handle.net/10204/3984 ER -