Identification of Erosion Sites With an Unmanned Aerial Vehicle (Drone): The Case of Thrace Peninsula

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dc.authorscopusid57204239210
dc.contributor.authorSarı, Hüseyin
dc.date.accessioned2023-04-20T08:02:31Z
dc.date.available2023-04-20T08:02:31Z
dc.date.issued2022
dc.departmentFakülteler, Ziraat Fakültesi, Toprak Bilimi ve Bitki Besleme Bölümü
dc.description.abstractThe present study was conducted to determine the areas and volumes of erosion zones in Thrace peninsula using geographical information systems (GIS). Measurements made with remote sensing both save time and prevent excess workforce. In addition, it is less costly than satellite images that can be purchased for areas where drones can be shot. For this purpose, 13 erosion sites with different environmental characteristics were examined and images were obtained with an unmanned aerial vehicle (UAV) in the study area. To calibrate the UAV data, the boundaries were determined using nature-friendly white paint. Then, all measurements (lengths, angles, etc.) of these areas were calculated from various altitudes. Volume of the determined areas then processed using GIS software and a graphic program named Autodesk Inventor. All of the UAV tasks were taken under suitable weather condition in order to avoid any difference in the images. Furher, the UAV images to be combined were obtained under similar weather conditions to ensure that factors such as light and shadow do not cause any deviation in the calculations and create visual differences. Images were taken from a total of 13 erosion areas and WGS 1984 (World Geodetic System 1984) was used as the coordinate system in the present study. Orthomosaic images of these areas were created by combining the images. In addition to the areas and volumes of the regions in the images, calibration analyzes were also made. Using a small area for calibration in the study increased the accuracy of area measurement rate above 90%, while this rate was found between 60 - 78% in volume measurement depending on the flight altitude. 12 photos were used in the image taken from a height of 100 meters and 103 from a height of 10 meters in the calibration from approximately 100 m(2). Accordingly, the volumetric accuracy rate was found to be 78.57% in the image taken from a height of 10 meters from the ground.
dc.identifier.doi10.33462/jotaf.892105
dc.identifier.endpage79
dc.identifier.issn1302-7050
dc.identifier.issn2146-5894
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85131383783
dc.identifier.scopusqualityQ3
dc.identifier.startpage70
dc.identifier.trdizinid1151368
dc.identifier.urihttps://doi.org/10.33462/jotaf.892105
dc.identifier.urihttps://hdl.handle.net/20.500.11776/10976
dc.identifier.volume19
dc.identifier.wosWOS:000795484100007
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakTR-Dizin
dc.institutionauthorSarı, Hüseyin
dc.language.isotr
dc.publisherUniv Namik Kemal
dc.relation.ispartofJournal of Tekirdag Agriculture Faculty-Tekirdag Ziraat Fakultesi Dergisi
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectThrace
dc.subjectErosion
dc.subjectGis
dc.subjectUav
dc.subjectSoil
dc.subjectSoil-Erosion
dc.subjectBasin
dc.titleIdentification of Erosion Sites With an Unmanned Aerial Vehicle (Drone): The Case of Thrace Peninsula
dc.typeArticle

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