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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34R/3S4SE52
Repositorysid.inpe.br/mtc-m21c/2018/10.26.17.06   (restricted access)
Last Update2018:10.26.17.06.12 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21c/2018/10.26.17.06.12
Metadata Last Update2019:01.14.17.06.37 (UTC) administrator
DOI10.4102/koedoe.v60i1.1497
ISSN0075-6458
Citation KeyArrautLovChaValMac:2018:20VeSt
TitleThe 2013-2014 vegetation structure map of Hwange National Park, Zimbabwe, produced using free satellite images and software
Year2018
MonthSept.
Access Date2024, Apr. 26
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size6685 KiB
2. Context
Author1 Arraut, Eduardo Moraes
2 Loveridge, Andrew J.
3 Chamaillé-Jammes, Simon
4 Valls-Fox, Hugo
5 Macdonald, David W.
Group1 CGOBT-CGOBT-INPE-MCTIC-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Oxford University
3 Universite Montpellier
4 Universite Montpellier
5 Wildlife Conservation Research Unit
Author e-Mail Address1 eduardo.arraut@inpe.br
JournalKoedoe
Volume60
Number1
Pagesa1497
History (UTC)2018-10-26 17:07:09 :: simone -> administrator :: 2018
2019-01-14 17:06:37 :: administrator -> simone :: 2018
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsRemote sensing
Protected Areas
Management
AbstractVegetation 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.
AreaSRE
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > CGOBT > The 2013-2014 vegetation...
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4. Conditions of access and use
Languageen
Target Filearraut_2013.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3EU2H28
DisseminationPORTALCAPES; SCOPUS.
Host Collectionurlib.net/www/2017/11.22.19.04
6. Notes
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