INTERACTIVE CADASTRAL BOUNDARY DELINEATION FROM UAV DATA

20 citations as recorded by crossref.

1. Coherence of Cadastral Data in Land Management—A Case Study of Rural Areas in Poland K. Kocur-Bera & H. Frąszczak https://doi.org/10.3390/land10040399
2. Scaling up UAVs for land administration: Towards the plateau of productivity C. Stöcker et al. https://doi.org/10.1016/j.landusepol.2021.105930
3. The Outlining of Agricultural Plots Based on Spatiotemporal Consensus Segmentation A. Garcia-Pedrero et al. https://doi.org/10.3390/rs10121991
4. Innovative Remote Sensing Methodologies for Kenyan Land Tenure Mapping M. Koeva et al. https://doi.org/10.3390/rs12020273
5. Application of Deep Learning for Delineation of Visible Cadastral Boundaries from Remote Sensing Imagery S. Crommelinck et al. https://doi.org/10.3390/rs11212505
6. 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
7. Use of UAV imagery for land consolidation: analysis of the accuracy of the resulting orthophotomosaic in relation to the GNSS RTK measurement A. Doroż et al. https://doi.org/10.1007/s12518-024-00576-5
8. Nghiên cứu ứng dụng giải pháp bay quét LiDAR trong cập nhật biến động bản đồ địa chính H. Văn et al. https://doi.org/10.22144/ctujos.2026.007
9. 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
10. A Digital 4D Information System on the World Scale: Research Challenges, Approaches, and Preliminary Results S. Münster et al. https://doi.org/10.3390/app14051992
11. Artificial Intelligence for Digital Heritage Innovation: Setting up a R&D Agenda for Europe S. Münster et al. https://doi.org/10.3390/heritage7020038
12. The analysis of the impact of boundary markers’ characteristics on the quality of UAV-based cadastral mapping U. Drešček et al. https://doi.org/10.1080/00396265.2026.2675728
13. Extraction of Visible Boundaries for Cadastral Mapping Based on UAV Imagery B. Fetai et al. https://doi.org/10.3390/rs11131510
14. Deep Learning for Automatic Outlining Agricultural Parcels: Exploiting the Land Parcel Identification System A. Garcia-Pedrero et al. https://doi.org/10.1109/ACCESS.2019.2950371
15. Geospatial Tool and Geocloud Platform Innovations: A Fit-for-Purpose Land Administration Assessment M. Koeva et al. https://doi.org/10.3390/land10060557
16. High-Quality UAV-Based Orthophotos for Cadastral Mapping: Guidance for Optimal Flight Configurations C. Stöcker et al. https://doi.org/10.3390/rs12213625
17. Cadastral Parcel Boundary Extraction from UAV Images G. Khadanga & K. Jain https://doi.org/10.1007/s12524-020-01252-y
18. UAV Implementations in Urban Planning and Related Sectors of Rapidly Developing Nations: A Review and Future Perspectives for Malaysia A. Muhmad Kamarulzaman et al. https://doi.org/10.3390/rs15112845
19. Crowd-Driven and Automated Mapping of Field Boundaries in Highly Fragmented Agricultural Landscapes of Ethiopia with Very High Spatial Resolution Imagery M. Marshall et al. https://doi.org/10.3390/rs11182082
20. Furthering Automatic Feature Extraction for Fit-for-Purpose Cadastral Updating: Cases from Peri-Urban Addis Ababa, Ethiopia M. Metaferia et al. https://doi.org/10.3390/rs15174155