ResearchSpace

Integrating remote sensing and ancillary data for regional ecosystem assessment: eucalyptus grandis agro-system in kwazulu-Natal, South Africa

Show simple item record

dc.contributor.author Cho, Moses A
dc.contributor.author Van Aardt, J
dc.contributor.author Main, Russell S
dc.contributor.author Majeke, B
dc.contributor.author Mathieu, Renaud SA
dc.contributor.author Norris-Rogers, M
dc.contributor.author Du Plessis, M
dc.contributor.author Ramoelo, Abel
dc.date.accessioned 2010-03-08T10:21:19Z
dc.date.available 2010-03-08T10:21:19Z
dc.date.issued 2009-07
dc.identifier.citation 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 en
dc.identifier.isbn 9781424433957
dc.identifier.uri http://hdl.handle.net/10204/3984
dc.description IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Cape Town, South Africa, 12-17 July 2009 en
dc.description.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. en
dc.language.iso en en
dc.subject Hyperspectral remote sensing en
dc.subject Eucalyptus grandis en
dc.subject Spectral indices en
dc.subject Forestry en
dc.subject Ecosystem en
dc.subject Agro-system en
dc.subject Geoscience en
dc.title Integrating remote sensing and ancillary data for regional ecosystem assessment: eucalyptus grandis agro-system in kwazulu-Natal, South Africa en
dc.type Conference Presentation en
dc.identifier.apacitation 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 en_ZA
dc.identifier.chicagocitation 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 en_ZA
dc.identifier.vancouvercitation 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 . en_ZA
dc.identifier.ris 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 - en_ZA


Files in this item

Thumbnail
Name: Cho1_2009.pdf
Size: 227.0Kb
Format: PDF
View/Open

This item appears in the following Collection(s)

Show simple item record