Türk, Y.Canyurt, H.2024-08-232024-08-2320240373-1332https://doi.org/10.31298/sl.148.3-4.3https://hdl.handle.net/20.500.12684/14661Decision support systems based on spatial data are widely used in some countries for planning production activities in forestry and designing forest roads. In recent years, Unmanned Aerial Vehicles (UAVs) have been playing an active role in the production of high resolution and accurate digital elevation models (DEMs) of forested areas. In the preparation of progress payments for forest road construction works, the workload is high, while the fee that has to be paid to the contractor company after the completion of the road construction is determined according to the final cost in the progress payment schedules. In this study, the applicability of UAV technology for determining forest road cut volume and land classification was investigated. A 640-meter section of the forest road coded 001 of Taşlıyayla Forest Management Sub-Directorate (Bolu/Türkiye) was examined in the study. Flights with an UAV (drone) were carried out in autonomous mode before and after the construction of the road examined in the study. In addition, in order to determine the amount of cut, measurements of the geometric characteristics of the road were made in the field after the road construction. As a result of the study, 2189 m³ cut volume was found with the UAV data with an average error of 3 cm. According to the field measurement results, the amount of cut was determined as 2080 m³. A difference of +5% was found between the UAV data and the field measurement results. In addition, using the JavaScript coding language on the Google Earth Engine platform, soil (46%) and loose soil (54%) land classification was identified from the orthophoto images. The obtained results reveal the usability of UAVs in determining forest road volumes. © 2024, Hrvatsko Sumarsko Drustvo. All rights reserved.en10.31298/sl.148.3-4.3info:eu-repo/semantics/openAccesscut volumedigital elevation modelforest roadsTürkiyeUAVsArtificial IntelligenceCuttingDataForestrySurveyingAntennasArtificial intelligenceDecision support systemsDigital instrumentsGeomorphologyRoads and streetsSurveyingUnmanned aerial vehicles (UAV)Aerial vehicleCut volumeDigital elevation modelField measurementForest roadsMountainous areaProduction activitySpatial dataTurkiyeUnmanned aerial vehicleland classificationmountain regionorthophotospatial dataunmanned vehicleForestryArticle1483-41391522-s2.0-85191148164Q3