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Please use this identifier to cite or link to this item: http://hdl.handle.net/10204/3984

Title: Integrating remote sensing and ancillary data for regional ecosystem assessment: eucalyptus grandis agro-system in kwazulu-Natal, South Africa
Authors: Cho, M
Van Aardt, J
Main, R
Majeke, B
Mathieu, R
Norris-Rogers, M
Du Plessis, M
Ramoelo, A
Keywords: Hyperspectral remote sensing
Eucalyptus grandis
Spectral indices
Forestry
Ecosystem
Agro-system
Geoscience
Issue Date: Jul-2009
Citation: Cho M, 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
Abstract: 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.
Description: IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Cape Town, South Africa, 12-17 July 2009
URI: http://hdl.handle.net/10204/3984
ISBN: 9781424433957
Appears in Collections:Earth observation
Ecosystems processes & dynamics
General science, engineering & technology

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