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  1. Discriminating the occurrence of pitch canker fungus in <em>Pinus radiata</em> trees using QuickBird imagery and artificial neural networks

    Discriminating the occurrence of pitch canker fungus in Pinus radiata trees using QuickBird imagery and artificial neural networks

    Item type: Journal Article • Journal: Southern Forests: a Journal of Forest Science • Authors: NiteshK Poona --- Department of Geography and Environmental Studies, South Africa Riyad Ismail --- , South Africa
    Pathogenic fungi, such as Fusarium circinatum, present a serious threat to Pinus radiata plantations. The effective management of infected trees is thus paramount. Coupled with advanced techniques, high spatial resolution remote sensing data provides the necessary tools to effectively identify...
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  2. Using high-resolution satellite imagery and double sampling as a cost-effective means of collecting forest inventory data – the case of Hans Kanyinga Community Forest, Namibia

    Using high-resolution satellite imagery and double sampling as a cost-effective means of collecting forest inventory data – the case of Hans Kanyinga Community Forest, Namibia

    Item type: Journal Article • Journal: Southern Forests: a Journal of Forest Science • Authors: JM Kamwi C Kätsch
    The present study deals with the use of high-resolution satellite imagery in forest inventory of the open savanna woodlands of southern Africa. The study was carried out in Hans Kanyinga Community Forest, north-eastern Namibia. A two-phase (double) sampling design was...
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