UNMANNED AERIAL VEHICLE IN CADASTRAL APPLICATIONS

37 citations as recorded by crossref.

1. IMPORTANCE OF UNMANNED AERIAL VEHICLES (UAVs) IN THE DOCUMENTATION OF CULTURAL HERITAGE A. ULVİ https://doi.org/10.31127/tuje.637050
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3. Revising Cadastral Data on Land Boundaries Using Deep Learning in Image-Based Mapping B. Fetai et al. https://doi.org/10.3390/ijgi11050298
4. Scale-Variant Flight Planning for the Creation of 3D Geovisualization and Augmented Reality Maps of Geosites: The Case of Voulgaris Gorge, Lesvos, Greece E. Papadopoulou et al. https://doi.org/10.3390/app112210733
5. SenseFly eBeeX İHA İle Üretilen Ortofotonun Konum Doğruluğunun İncelenmesi A. AKAR et al. https://doi.org/10.51534/tiha.1016277
6. Inconsistencies in Cadastral Boundary Data—Digitisation and Maintenance B. Fetai et al. https://doi.org/10.3390/land11122318
7. Application of orthophotomaps in land cadastre J. Pirimov et al. https://doi.org/10.1051/e3sconf/202338605008
8. Yerel Yönetimlerde Kaçak Yapı Tespitinde İHA Kullanımı: Keçiören Belediyesi Örneği A. ULUKOK & A. ULVİ https://doi.org/10.53030/tufod.1288584
9. APPLICATION OF NATURAL LANGUAGE PARSING FOR IDENTIFYING NON-SURVEYED BOUNDARIES TOWARDS ENHANCED SYSTEMATIC LAND TITLING: RESULTS FROM PRELIMINARY EXPERIMENT J. Odumosu et al. https://doi.org/10.3846/gac.2023.18111
10. Review of Computational Strategies for Drone Design and Development A. Pisharam et al. https://doi.org/10.1007/s11831-025-10458-7
11. Assessing the utilization of UAV technology for cadastre update applications in Turkey based on cost-benefit analysis K. Karataş & N. Altınışık https://doi.org/10.1080/00396265.2023.2207065
12. UAV for 3D mapping applications: a review F. Nex & F. Remondino https://doi.org/10.1007/s12518-013-0120-x
13. Kentsel alanlarda ağaç yükseklik bilgilerinin ICESat-2/ATLAS ve İHA verilerinden elde edilmesi M. AĞCA et al. https://doi.org/10.29128/geomatik.1384320
14. Deep Learning and Earth Observation to Support the Sustainable Development Goals: Current approaches, open challenges, and future opportunities C. Persello et al. https://doi.org/10.1109/MGRS.2021.3136100
15. Assessment of Unmanned Aerial Vehicle Use Opportunities in Forest Road Project (Düzce Sample) M. CİRİTCİOĞLU & E. BUĞDAY https://doi.org/10.24011/barofd.1066636
16. Vision-Based UAV 3-D Tracking via Relative Pose Estimation J. Yi et al. https://doi.org/10.1109/JSEN.2025.3627963
17. Açık Maden Ocağındaki Stok/Pasa Yığınının Hacim Hesaplamasında GNSS/CORS ve İHA Ölçümlerinin Karşılaştırıldığı Bir Çalışma Örneği A. Yiğit & Y. Kaya https://doi.org/10.51534/tiha.1466284
18. Performance Evaluation of 3D Modelling Software for UAV Photogrammetry H. CHIKATSU et al. https://doi.org/10.4287/jsprs.55.117
19. Use of Unmanned Aerial Vehicles (UAVs) for Updating Farmland Cadastral Data in Areas Subject to Landslides E. Puniach et al. https://doi.org/10.3390/ijgi7080331
20. Image acquisition effects on Unmanned Air Vehicle snow depth retrievals A. Tekeli & S. Dönmez https://doi.org/10.5194/piahs-380-81-2018
21. High-Quality UAV-Based Orthophotos for Cadastral Mapping: Guidance for Optimal Flight Configurations C. Stöcker et al. https://doi.org/10.3390/rs12213625
22. Unmanned Aerial Vehicle (UAV) support for subdivision phase of land readjustment: A case study from Turkey B. Uzun et al. https://doi.org/10.1016/j.landusepol.2022.106301
23. Precise Cadastral Survey of Rural Buildings Based on Wall Segment Topology Analysis from Dense Point Clouds B. Xu et al. https://doi.org/10.3390/app131810197
24. Scaling up UAVs for land administration: Towards the plateau of productivity C. Stöcker et al. https://doi.org/10.1016/j.landusepol.2021.105930
25. Determination of blast-induced flyrock using a drone technology: a bibliometric overview with practical soft computing implementation A. Lawal et al. https://doi.org/10.1007/s12517-022-10770-7
26. Real-time unmanned aerial vehicle surveying using spatial criteria: a simulated study D. Chatziparaschis & P. Partsinevelos https://doi.org/10.1117/1.JRS.17.014519
27. Testing Accuracy and Repeatability of UAV Blocks Oriented with GNSS-Supported Aerial Triangulation F. Benassi et al. https://doi.org/10.3390/rs9020172
28. Assessment of Positional Accuracy in Maps Derived Using UAV_PPK, UAV Network RTK, RTK-GNSS, and TUSAGA-Active Techniques E. Özdemir et al. https://doi.org/10.26833/ijeg.1686266
29. Multi-View Camera-Based UAV 3D Trajectory Reconstruction Using an Optical Imaging Geometric Model C. Ji et al. https://doi.org/10.3390/electronics15071425
30. Comparative Analysis of Unmanned Aerial Vehicles Used in Photogrammetric Surveys M. Specht et al. https://doi.org/10.12716/1001.17.02.21
31. Heuristics for optimizing 3D mapping missions over swarm-powered ad-hoc clouds L. Costa et al. https://doi.org/10.1007/s10732-022-09502-7
32. Influence of Flight Height and Image Sensor on the Quality of the UAS Orthophotos for Cadastral Survey Purposes H. Sertić et al. https://doi.org/10.3390/land11081250
33. İnsansız Hava Aracı İle Ortofoto Üretimi Ve Aksaray Üniversitesi Kampüsü Örneği H. YILMAZ et al. https://doi.org/10.29128/geomatik.369553
34. Exploring UAV in Indonesian cadastral boundary data acquisition S. Ramadhani et al. https://doi.org/10.1007/s12145-017-0314-6
35. Ultra-resolution unmanned aerial vehicle (UAV) and digital surface model (DSM) data-based automatic extraction of urban features using object-based image analysis approach in Gurugram, Haryana N. Chauhan et al. https://doi.org/10.1007/s12518-022-00466-8
36. Research on the possibility of using DJI Matrice 300 RTK with a Zenmuse P1 camera and DJI Mavic 3 Enterprise in work related to obtaining geometric data about buildings for the purpose of updating real estate cadaster and topographical database records M. KARABIN https://doi.org/10.46544/AMS.v30i2.09
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