Potential use of 3D-derived products generated from unmanned aerial vehicle (UAV) imagery for monitoring forest degradation and woodland structure changes in the Namibian dry woodlands

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dc.contributor.authorKnox, N.
dc.contributor.authorStrohbach, B.J.
dc.contributor.authorDe Cauwer, V.
dc.date.accessioned2019-10-02T12:09:43Z
dc.date.available2019-10-02T12:09:43Z
dc.date.issued2018
dc.description.abstractDifferent remote sensing approaches (in terms of data and analysis) have been demonstrated to be efficient mechanisms for monitoring changes in woodland cover. The use of optical remote sensing in monitoring dry woodlands has proved challenging and resulted in underestimating the cover and distribution of open woodlands (Bastin et al., 2017). With the use of an integrated LiDAR and SAR approach, Mathieu et al. (2018) have demonstrated an effective means to assessing the distribution and fractional woody cover of savanna forests (including the dry woodlands of Namibia)en_US
dc.identifier.citationKnox, N.M., Strohbach, B.J. & De Cauwer, V. (2018) Potential use of 3D-derived products generated from unmanned aerial vehicle (UAV) imagery for monitoring forest degradation and woodland structure changes in the Namibian dry woodlands. In: Climate change and adaptive land management in southern Africa – assessments, changes, challenges, and solutions (ed. by Revermann, R., Krewenka, K.M., Schmiedel, U., Olwoch, J.M., Helmschrot, J. & Jürgens, N.), pp. 378-379, Biodiversity & Ecology, 6, Klaus Hess Publishers, Göttingen & Windhoek. doi:10.7809/b-e.00349en_US
dc.identifier.urihttp://hdl.handle.net/10628/659
dc.language.isoenen_US
dc.publisherKlaus Hess Publishersen_US
dc.subjectremote sensing, dry woodlands, optical remote sensingen_US
dc.titlePotential use of 3D-derived products generated from unmanned aerial vehicle (UAV) imagery for monitoring forest degradation and woodland structure changes in the Namibian dry woodlandsen_US
dc.typeArticleen_US

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