Discriminating the occurrence of pitch canker infection in Pinus radiata forests using high spatial resolution QuickBird data and artificial neural networks.

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dc.contributor.authorPoona NK
dc.contributor.authorIsmail R
dc.date.accessioned2013-07-03T08:34:35Z
dc.date.available2013-07-03T08:34:35Z
dc.date.issued2012
dc.descriptionLettere En Wysbegeerte
dc.descriptionGeografie En Omgewingstudie
dc.descriptionPlease help us populate SUNScholar with the post print version of this article. It can be e-mailed to: scholar@sun.ac.za
dc.identifier.urihttp://hdl.handle.net/10019.1/84357
dc.publisherIEEE ISBN 978-1-4673-1160-1
dc.titleDiscriminating the occurrence of pitch canker infection in Pinus radiata forests using high spatial resolution QuickBird data and artificial neural networks.
dc.typeProceedings International
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