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

dc.contributor.authorAkturk, Emre
dc.contributor.authorAltunel, Arif Oguz
dc.contributor.authorAteşoğlu, Ayhan
dc.contributor.authorSeki, Mehmet
dc.contributor.authorErpay, Serdar
dc.contributor.authorAteşoğlu, Ayhan
dc.date.accessioned2025-10-18T10:04:56Z
dc.date.created2023
dc.date.issued2023
dc.departmentFakülteler, Orman Fakültesi, Orman Mühendisliği Bölümü
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.
dc.identifier.doi10.1080/13658816.2023.2183959
dc.identifier.endpage1068
dc.identifier.issn1365-8816
dc.identifier.issn1362-3087
dc.identifier.issue5
dc.identifier.orcidaltunel, arif oguz/0000-0003-2597-5587
dc.identifier.orcidSeki, Mehmet/0000-0003-3091-2927
dc.identifier.orcidErpay, Serdar/0000-0001-6048-0016
dc.identifier.orcidAkturk, Emre/0000-0003-0953-4749;
dc.identifier.scopus2-s2.0-85149071776
dc.identifier.scopusqualityQ1
dc.identifier.startpage1041
dc.identifier.urihttps://doi.org/10.1080/13658816.2023.2183959
dc.identifier.urihttps://hdl.handle.net/11772/20989
dc.identifier.volume37
dc.identifier.wosWOS:000942330100001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherTaylor & Francis Ltd
dc.relation.ispartofInternational Journal of Geographical Information Science
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzWoS_20251016
dc.subjectTandem-X Fnf
dc.subjectCollect Earth
dc.subjectAccuracy Assessment
dc.subjectLand Cover
dc.subjectGoogle Earth Engine
dc.titleHow good is TanDEM-X 50 m forest/non-forest map? Product validation using temporally corrected geo-browser supplied imagery through Collect Earth
dc.typeArticle
dspace.entity.typePublication
relation.isAuthorOfPublication7abd30a9-9e52-4695-917b-d5db58102a83
relation.isAuthorOfPublication.latestForDiscovery7abd30a9-9e52-4695-917b-d5db58102a83

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