Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/4577
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dc.contributor.authorMakineci, H. B.-
dc.date.accessioned2023-10-02T11:14:33Z-
dc.date.available2023-10-02T11:14:33Z-
dc.date.issued2023-
dc.identifier.issn2785-339X-
dc.identifier.issn2785-2970-
dc.identifier.urihttps://doi.org/10.4430/bgo00427-
dc.identifier.urihttps://hdl.handle.net/20.500.13091/4577-
dc.descriptionArticle; Early Accessen_US
dc.description.abstractDetermining the terrain structure of the Earth, a dynamic planet, creating a Digital Elevation Model (DEM) of some parts, and keeping them up to date, are basic necessities for human beings. In this research, DEMs produced using ascending (TRXASC) and descending (TRXDSC) orbit data pairs obtained from the current TerraSAR-X satellite data, and Terra World (TW) DEM (created with the help of data acquired by TanDEM-X), were subjected to point-based accuracy analysis. Standard deviations of the grid point elevation values were calculated using 43,750 digitally-produced grid points, within the study area (5.5x8.5 km2), using different statistical methods. For the accuracy analysis, a 5-metre resolution DEM, created from the aerial photogrammetry technique of the national authority, General Directorate of Mapping (HGM), was used as the DEM basemap. Grid points are also examined according to two basic classes (slope classes and CORINE classes). The deficiency of prior studies using CORINE classes in this context, the preference for segmented-multiple subclasses used for slope classes, and the re accuracy analysis of all statistical analyses, eliminating the gross error points, significantly contributed to the research with original findings.en_US
dc.description.sponsorshipEuropean Space Agency (ESA) [59832]; Ministry of Agriculture and Forestry for the European Environment Agency (EEA)en_US
dc.description.sponsorship& nbsp;The data used in this research were provided free of charge within the scope of Filling Gaps in DEMs Produced from SAR Data with Different Orbital Properties and Resolutions Using AI Algorithms, European Space Agency (ESA) CAT1-Project 59832. CORINE Turkey data has been updated by the Ministry of Agriculture and Forestry for the European Environment Agency (EEA) . I would sincerely like to thank ESA and EEA for providing the data. For all their contributions, I am also grateful to PlanetScope satellite systems, which provide free -of -charge optical satellite data for academic use. The data presented in this study are available on request to the author. Data are not publicly available.en_US
dc.language.isoenen_US
dc.publisherIst Nazionale Di Oceanografia E Di Geofisicaen_US
dc.relation.ispartofBulletin of Geophysics And Oceanographyen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectascending and descending TerraSAR dataen_US
dc.subjectCORINEen_US
dc.subjectTanDEM-X world DEMen_US
dc.subjectstatistical accuracy analysisen_US
dc.subjectDigital Elevation Modelen_US
dc.subjectRadaren_US
dc.subjectInsaren_US
dc.subjectValidationen_US
dc.titleComparative accuracy analysis of DEMs generated from descending and ascending orbit TerraSAR-X dataen_US
dc.typeArticleen_US
dc.identifier.doi10.4430/bgo00427-
dc.identifier.scopus2-s2.0-85175431858en_US
dc.departmentKTÜNen_US
dc.authoridMakineci, Hasan Bilgehan/0000-0003-3627-5826-
dc.authorwosidMakineci, Hasan Bilgehan/ABC-4198-2020-
dc.identifier.wosWOS:001041970800001en_US
dc.institutionauthor-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityQ3-
item.fulltextNo Fulltext-
item.openairetypeArticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.languageiso639-1en-
crisitem.author.dept02.08. Department of Geomatic Engineering-
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections
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