UNMANNED AERIAL VEHICLE IN CADASTRAL APPLICATIONS

33 citations as recorded by crossref.

1. IMPORTANCE OF UNMANNED AERIAL VEHICLES (UAVs) IN THE DOCUMENTATION OF CULTURAL HERITAGE A. ULVİ 10.31127/tuje.637050
2. Deep Learning for Detection of Visible Land Boundaries from UAV Imagery B. Fetai et al. 10.3390/rs13112077
3. Revising Cadastral Data on Land Boundaries Using Deep Learning in Image-Based Mapping B. Fetai et al. 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. 10.3390/app112210733
5. SenseFly eBeeX İHA İle Üretilen Ortofotonun Konum Doğruluğunun İncelenmesi A. AKAR et al. 10.51534/tiha.1016277
6. Inconsistencies in Cadastral Boundary Data—Digitisation and Maintenance B. Fetai et al. 10.3390/land11122318
7. Application of orthophotomaps in land cadastre J. Pirimov et al. 10.1051/e3sconf/202338605008
8. Yerel Yönetimlerde Kaçak Yapı Tespitinde İHA Kullanımı: Keçiören Belediyesi Örneği A. ULUKOK & A. ULVİ 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. 10.3846/gac.2023.18111
10. Assessing the utilization of UAV technology for cadastre update applications in Turkey based on cost-benefit analysis K. Karataş & N. Altınışık 10.1080/00396265.2023.2207065
11. UAV for 3D mapping applications: a review F. Nex & F. Remondino 10.1007/s12518-013-0120-x
12. Kentsel alanlarda ağaç yükseklik bilgilerinin ICESat-2/ATLAS ve İHA verilerinden elde edilmesi M. AĞCA et al. 10.29128/geomatik.1384320
13. Deep Learning and Earth Observation to Support the Sustainable Development Goals: Current approaches, open challenges, and future opportunities C. Persello et al. 10.1109/MGRS.2021.3136100
14. Assessment of Unmanned Aerial Vehicle Use Opportunities in Forest Road Project (Düzce Sample) M. CİRİTCİOĞLU & E. BUĞDAY 10.24011/barofd.1066636
15. Açık Maden Ocağındaki Stok/Pasa Yığınının Hacim Hesaplamasında GNSS/CORS ve İHA Ölçümlerinin Karşılaştırıldığı Bir Çalışma Örneği A. Yiğit & Y. Kaya 10.51534/tiha.1466284
16. Performance Evaluation of 3D Modelling Software for UAV Photogrammetry H. CHIKATSU et al. 10.4287/jsprs.55.117
17. Use of Unmanned Aerial Vehicles (UAVs) for Updating Farmland Cadastral Data in Areas Subject to Landslides E. Puniach et al. 10.3390/ijgi7080331
18. Image acquisition effects on Unmanned Air Vehicle snow depth retrievals A. Tekeli & S. Dönmez 10.5194/piahs-380-81-2018
19. High-Quality UAV-Based Orthophotos for Cadastral Mapping: Guidance for Optimal Flight Configurations C. Stöcker et al. 10.3390/rs12213625
20. Unmanned Aerial Vehicle (UAV) support for subdivision phase of land readjustment: A case study from Turkey B. Uzun et al. 10.1016/j.landusepol.2022.106301
21. Precise Cadastral Survey of Rural Buildings Based on Wall Segment Topology Analysis from Dense Point Clouds B. Xu et al. 10.3390/app131810197
22. Scaling up UAVs for land administration: Towards the plateau of productivity C. Stöcker et al. 10.1016/j.landusepol.2021.105930
23. Determination of blast-induced flyrock using a drone technology: a bibliometric overview with practical soft computing implementation A. Lawal et al. 10.1007/s12517-022-10770-7
24. Real-time unmanned aerial vehicle surveying using spatial criteria: a simulated study D. Chatziparaschis & P. Partsinevelos 10.1117/1.JRS.17.014519
25. Testing Accuracy and Repeatability of UAV Blocks Oriented with GNSS-Supported Aerial Triangulation F. Benassi et al. 10.3390/rs9020172
26. Assessment of Positional Accuracy in Maps Derived Using UAV_PPK, UAV Network RTK, RTK-GNSS, and TUSAGA-Active Techniques E. Özdemir et al. 10.26833/ijeg.1686266
27. Comparative Analysis of Unmanned Aerial Vehicles Used in Photogrammetric Surveys M. Specht et al. 10.12716/1001.17.02.21
28. Heuristics for optimizing 3D mapping missions over swarm-powered ad-hoc clouds L. Costa et al. 10.1007/s10732-022-09502-7
29. Influence of Flight Height and Image Sensor on the Quality of the UAS Orthophotos for Cadastral Survey Purposes H. Sertić et al. 10.3390/land11081250
30. İnsansız Hava Aracı İle Ortofoto Üretimi Ve Aksaray Üniversitesi Kampüsü Örneği H. YILMAZ et al. 10.29128/geomatik.369553
31. Exploring UAV in Indonesian cadastral boundary data acquisition S. Ramadhani et al. 10.1007/s12145-017-0314-6
32. 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. 10.1007/s12518-022-00466-8
33. Unmanned aerial systems for photogrammetry and remote sensing: A review I. Colomina & P. Molina 10.1016/j.isprsjprs.2014.02.013