How good is TanDEM-X 50 m forest/non-forest map? Product validation using temporally corrected geo-browser supplied imagery through Collect Earth

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dc.authoridSeki, Mehmet/0000-0003-3091-2927
dc.authoridErpay, Serdar/0000-0001-6048-0016
dc.authoridAkturk, Emre/0000-0003-0953-4749
dc.authoridaltunel, arif oguz/0000-0003-2597-5587
dc.contributor.authorAkturk, Emre
dc.contributor.authorAltunel, Arif Oguz
dc.contributor.authorAtesoglu, Ayhan
dc.contributor.authorSeki, Mehmet
dc.contributor.authorErpay, Serdar
dc.date.accessioned2024-09-29T16:02:52Z
dc.date.available2024-09-29T16:02:52Z
dc.date.issued2023
dc.departmentKarabük Üniversitesien_US
dc.description.abstractTanDEM-X Forest/Non-Forest (FNF) map(s) have been one such data focusing on the status of global forest coverage, which has played an essential role in combating climate change. Although the producers have carried out verification and comparison analyses, the need for accuracy assessments in a broader sense creates uncertainties for the users to approve the new data. For this purpose, TanDEM-X 50 m FNF maps were exclusively examined visually through 66,000 test grids within 30 geocells selected from temperate, boreal, and tropical forest zones. Thus, it was aimed to provide product accuracy utilizing visual inspections to the end users of TanDEM-X FNF maps. In addition, Collect Earth (CE) software was used to evaluate the dataset visually, and its advantages or disadvantages were compared with similarly designed studies. Consequently, even though the producers' data sets were found to have an accuracy of around 85%, it was observed that there were some issues, especially in the definition of the non-forest class. CE software was found to be helpful in such studies. However, the dependence of the analyses on geo-browser supplied imagery had some limitations in estimating the accuracy of a new dataset.en_US
dc.identifier.doi10.1080/13658816.2023.2183959
dc.identifier.endpage1068en_US
dc.identifier.issn1365-8816
dc.identifier.issn1362-3087
dc.identifier.issue5en_US
dc.identifier.scopus2-s2.0-85149071776en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage1041en_US
dc.identifier.urihttps://doi.org/10.1080/13658816.2023.2183959
dc.identifier.urihttps://hdl.handle.net/20.500.14619/5760
dc.identifier.volume37en_US
dc.identifier.wosWOS:000942330100001en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherTaylor & Francis Ltden_US
dc.relation.ispartofInternational Journal of Geographical Information Scienceen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectTanDEM-X FNFen_US
dc.subjectCollect Earthen_US
dc.subjectaccuracy assessmenten_US
dc.subjectland coveren_US
dc.subjectGoogle Earth Engineen_US
dc.titleHow good is TanDEM-X 50 m forest/non-forest map? Product validation using temporally corrected geo-browser supplied imagery through Collect Earthen_US
dc.typeArticleen_US

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