A Comparative Analysis of UAV-RTK and UAV-PPK Methods in Mapping Different Surface Types

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dc.authorid
dc.contributor.authorEker, Remzi
dc.contributor.authorAlkan, Ece
dc.contributor.authorAydın, Abdurrahim
dc.date.accessioned2021-12-01T18:22:35Z
dc.date.available2021-12-01T18:22:35Z
dc.date.issued2021
dc.department[Belirlenecek]en_US
dc.description.abstractThis study aimed to compare unmanned aerial vehicle (UAV) based real-time kinematic (RTK) and post-processing kinematic (PPK) methods via five approaches: an RTK-CORS method (M1), a short-baseline PPK method obtaining corrections from a GNSS base station (M2), and three long-baseline PPK methods that obtained corrections from the three Turkish RTK-CORS network TUSAGA-Aktif reference stations (M3: IZMI, M4: CESM, and M5: KIKA). The comparison was based on the accuracy of the corrected camera positions, the average error of the camera locations computed in the photo-alignment and optimization process, georeferencing errors of the models via nine GCPs based on four scenarios, and Root Mean Square (RMS) errors in the Z-direction for different surface types (i.e. roads, shadows, shrubs, boulders, trees, and ground). For the surface types of “ground”, “roads”, and “shrubs”, RMS error rates were obtained 10 cm lower than that of other surface types in all methods except M4. The greatest differences were obtained over trees and shadowed areas. The conclusion of these comparisons was that the lowest RMS error rate was determined on a solid textured surface. The consideration of mean RMS error regardless of surface type in such model comparisons is misleading.en_US
dc.identifier.doi10.33904/ejfe.938067
dc.identifier.endpage25en_US
dc.identifier.issn2149-5637 (E-ISSN)
dc.identifier.issn2149-5637
dc.identifier.issue1en_US
dc.identifier.startpage12en_US
dc.identifier.urihttps://doi.org/10.33904/ejfe.938067
dc.identifier.urihttps://app.trdizin.gov.tr/makale/TkRVd05qRTJOZz09
dc.identifier.urihttps://hdl.handle.net/20.500.12684/9518
dc.identifier.volume7en_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isoenen_US
dc.relation.ispartofEuropean Journal of Forest Engineeringen_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subject[No Keywords]en_US
dc.titleA Comparative Analysis of UAV-RTK and UAV-PPK Methods in Mapping Different Surface Typesen_US
dc.typeArticleen_US

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