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@Article{ArrautLovChaValMac:2018:20VeSt,
               author = "Arraut, Eduardo Moraes and Loveridge, Andrew J. and 
                         Chamaill{\'e}-Jammes, Simon and Valls-Fox, Hugo and Macdonald, 
                         David W.",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Oxford 
                         University} and {Universite Montpellier} and {Universite 
                         Montpellier} and {Wildlife Conservation Research Unit}",
                title = "The 2013-2014 vegetation structure map of Hwange National Park, 
                         Zimbabwe, produced using free satellite images and software",
              journal = "Koedoe",
                 year = "2018",
               volume = "60",
               number = "1",
                pages = "a1497",
                month = "Sept.",
             keywords = "Remote sensing, Protected Areas, Management.",
             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.",
                  doi = "10.4102/koedoe.v60i1.1497",
                  url = "http://dx.doi.org/10.4102/koedoe.v60i1.1497",
                 issn = "0075-6458",
             language = "en",
           targetfile = "arraut_2013.pdf",
        urlaccessdate = "04 dez. 2020"
}


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