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		<doi>10.4102/koedoe.v60i1.1497</doi>
		<issn>0075-6458</issn>
		<citationkey>ArrautLovChaValMac:2018:20VeSt</citationkey>
		<title>The 2013-2014 vegetation structure map of Hwange National Park, Zimbabwe, produced using free satellite images and software</title>
		<year>2018</year>
		<month>Sept.</month>
		<typeofwork>journal article</typeofwork>
		<secondarytype>PRE PI</secondarytype>
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		<author>Arraut, Eduardo Moraes,</author>
		<author>Loveridge, Andrew J.,</author>
		<author>Chamaillé-Jammes, Simon,</author>
		<author>Valls-Fox, Hugo,</author>
		<author>Macdonald, David W.,</author>
		<group>CGOBT-CGOBT-INPE-MCTIC-GOV-BR</group>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Oxford University</affiliation>
		<affiliation>Universite Montpellier</affiliation>
		<affiliation>Universite Montpellier</affiliation>
		<affiliation>Wildlife Conservation Research Unit</affiliation>
		<electronicmailaddress>eduardo.arraut@inpe.br</electronicmailaddress>
		<journal>Koedoe</journal>
		<volume>60</volume>
		<number>1</number>
		<pages>a1497</pages>
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		<contenttype>External Contribution</contenttype>
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		<keywords>Remote sensing, Protected Areas, Management.</keywords>
		<abstract>Vegetation mapping of protected areas is a cornerstone of conservation worldwide. Established in 1928 and covering over 1.4 million hectares, Hwange National Park (HNP) is the largest natural reserve in Zimbabwe. In 1993, the sole comprehensive map of its vegetation to date was produced and since then it has been used in numerous research and conservation endeavours. Over the last two decades, however, the parks vegetation changed, safari areas and forest reserves were created at its edge and high-positional accuracy data on a suite of species were collected. To tend to contemporary mapping needs, in this article, we present the 20132014 vegetation structure map of HNP and its surroundings. It was produced by supervised classification of Landsat-8 Operational Land Imager (OLI) images, indices derived from these and the Landsat Tree Cover Continuous Field product. Its accuracy was assessed statistically using samples collected from high-resolution satellite imagery and basic ancillary field data. Of its total pixels, 83.2% were correctly classified. Mean omission and commission error were, respectively, 0.82 (0.740.90) and 0.82 (0.720.89), and this similarity held on a per class basis, indicating reliable area estimates. It was produced using only freely available imagery and software.</abstract>
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		<language>en</language>
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