Mila Koeva
Associate Professor, University of Twente, ITC
Journal publications
Claudia Stöcker, Rohan Bennett, Mila Koeva, Francesco Nex.
Scaling up UAVs for land administration: Towards the plateau of productivity. Land Use policy, Volume 114, 105930, https://doi.org/10.1016/j.landusepol.2021.105930
Rohan Bennett, Mila Koeva, and Kwabena Asiama.
Review of remote sensing for land administration: origins, debates and advances.
MDPI Remote sensing, https://doi.org/10.3390/rs13214198
Koeva, M. N., et.al.
Remote sensing for property valuation: A data source comparison in support of fair land taxation in Rwanda., 8 Sep 2021, In: Remote sensing. 13, 18, p. 1-25 25 p., 3563. https://doi.org/10.3390/rs13183563
Koeva, M. N., et.al.
Geospatial tool and geocloud platform innovations: A fit-for-purpose land administration assessment. Jun 2021, In: Land. 10, 6, p. 1-23 23 p., 557. https://doi.org/10.3390/land10060557
C Stöcker, F Nex, M Koeva, M Gerke.
High-Quality UAV-Based Orthophotos for Cadastral Mapping: Guidance for Optimal Flight Configurations. In Remote Sensing, 2020 https://doi.org/10.3390/rs12213625
Brito, P. L., Kuffer, M., Koeva, M., et.al.
The spatial dimension of COVID-19: The potential of Earth observation data in support of slum communities with evidence from Brazil, 20 Sep 2020, In: ISPRS international journal of geo-information. 9, 9, p. 1-21 21 p., 557. https://doi.org/10.3390/ijgi9090557
van Oosterom, P. J. M., Bennett, R., Koeva, M. N. & Lemmen, C. H. J.
3D Land Administration for 3D Land Uses, Nov 2020, In: Land use policy. 98, p. 1-3 3 p., 104665. https://doi.org/10.1016/j.landusepol.2020.104665
Bennett, R., van Oosterom, P. J. M., Lemmen, C. H. J. & Koeva, M. N.,
Remote sensing for land administration 4 Aug 2020, In: Remote sensing. 12, 15, p. 1-8 8 p., 2497. https://doi.org/10.3390/rs12152497
Koeva, M., Stöcker, C., Crommelinck, S., et.al.
Innovative remote sensing methodologies for Kenyan land tenure mapping. 14 Jan 2020, In: Remote sensing. 12, 2, p. 1-27 27 p., 273. https://doi.org/10.3390/rs12020273
Karabin, M., Kitsakis, D., Koeva, M., et.al.
Layer approach to ownership in 3D cadastre in the case of underground tunnels, Nov 2020, In Land use policy. 98, 12 p., 104464. https://doi.org/10.1016/j.landusepol.2020.104464
Koeva, M. N., Stöcker, C., Crommelinck, S., et.al.
Innovative geospatial solutions for land tenure mapping, 10 Jul 2020, In : Rwanda Journal of Engineering, Science, Technology and Environment. 3, 1, p. 34-49 16 p. https://doi.org/10.4314/rjeste.v3i1.3S
Ying, Y., Koeva, M., Kuffer, M., Asiama, K. O., Li, X. & Zevenbergen, J.
Making the third dimension (3D) explicit in hedonic price modelling: A case study of Xi’an, China., 30 Dec 2020, In: Land. 10, 1, p. 1-26 26 p. https://doi.org/10.3390/land10010024
van Oosterom, P. J. M., Bennett, R., Koeva, M. N. & Lemmen, C. H. J.
3D Land Administration for 3D Land Uses, 21 May 2020, In: Land use policy. p. 1-3 3 p., 104665. https://doi.org/10.1016/j.landusepol.2020.104665
Koeva, M. N., Nikoohemat, S., Oude Elberink, et.al.
Towards 3D Indoor Cadastre Based on Change Detection from Point Clouds., 1 Jan 2019, In Remote sensing. 11, 17, 21 p., 1972. DOI:10.3390/rs11171972
Xia, X., Persello, C. & Koeva, M. N.
Deep Fully Convolutional Networks for Cadastral Boundary Detection from UAV Images, 1 Jan 2019, In: Remote sensing. 11, 14, 1725. https://doi.org/10.3390/rs11141725
Crommelinck, S., Koeva, M. N., Yang, M. Y. & Vosselman, G.
Application of Deep Learning for Delineation of Visible Cadastral Boundaries from Remote Sensing Imagery, 25 Oct 2019, In Remote sensing. 11, 21, p. 1-22 22 p., 2505. https://doi.org/10.3390/rs11212505
Nyandwi, E., Koeva, M. N., Kohli, D. & Bennett, R.
Comparing Human Versus Machine-Driven Cadastral Boundary Feature Extraction, 12 Jul 2019, In Remote sensing. 11, 14, 27 p. https://doi.org/10.3390/rs11141662
Stöcker, C., Ho, S., Nkerabigwi, P., Schmidt, C., Koeva, M., Bennett, R. & Zevenbergen, J.
Unmanned Aerial System Imagery, Land Data and User Needs: A Socio-Technical Assessment in Rwanda, 1 May 2019, In : Remote sensing. 11, 9, p. 1-20 20 p., 1035. https://doi.org/10.3390/rs11091035
Koeva, M.N., Muneza, M., Gevaert, C., Gerke, M. & Nex, F.
Using UAVs for map creation and updating: a case study in Rwanda, 4 Jul 2018, In Survey review. 50, 361, p. 312-325 14 p. https://doi.org/10.1080/00396265.2016.1268756
Wassie, Y. A., Koeva, M.N. Bennett, R. M. & Lemmen, C. H. J.
A procedure for semi-automated cadastral boundary feature extraction from high-resolution satellite imagery 11 Jul 2017, In: Journal of spatial science. 63, 1, p. 75-92 18 p. DOI: 10.1080/14498596.2017.1345667
Koeva, M. N., Luleva, M. I. & Maldjanski, P.
Integrating spherical panoramas and maps for visualization of cultural heritage objects using virtual reality technology. 2017, In: Sensors (Switzerland). 17, 4, 15 p., 829. https://doi.org/10.3390/s17040829
Luo, X., Bennett, R., Koeva, M. N. & Lemmen, C. H. J.
Investigating Semi-Automated Cadastral Boundaries Extraction from Airborne Laser Scanned Data., 2017, In : Land economics. 6, 3, 23 p., 60. https://doi.org/10.3390/land6030060
Luo, X., Bennett, R. M., Koeva, M.N. Lemmen, C. & Quadros, N.
Quantifying the Overlap between Cadastral and Visual Boundaries: A Case Study from Vanuatu, 16 Nov 2017, In: Urban Science. 1, 4, p. 32 4 p. DOI:10.3390/urbansci1040032
Book chapters
Crommelinck, S., Höfle, B., Koeva, M.N. Yang, M. Y. & Vosselman, G.
Interactive Cadastral Boundary Delineation from UAV Data, 4 Jul 2018, ISPRS TC II Mid-term Symposium “Towards Photogrammetry 2020”, 4–7 June 2018, Riva del Garda, Italy. Vol. IV-2. p. 81-88 DOI:10.5194/isprs-annals-IV-2-81-2018
Koeva, M.N. Crommelinck, S., Stöcker, C. & Crompvoets, J.
Its4land - Challenges and Opportunities in Developing Innovative Geospatial Tools for Fit-For-Purpose Land Rights Mapping, 7 May 2018, FIG Congress 2018:Istanbul, Turkey, May 6-11, 2018. Copenhagen: International Federation of Surveyors (FIG), p. 1-17 17 p. 9425 http://www.fig.net/resources/proceedings/fig_proceedings/fig2018/papers/ts09g/TS09G_koeva_crommelinck_9425.pdf
Stöcker, C., Ho, S., Koeva, M.N. Nkerabigwi, P., Schmidt, C., Zevenbergen, J. A. & Bennett, R.
Towards UAV-based Land Tenure Data Acquisition in Rwanda: Needs Assessment and Technology Response., 7 May 2018, FIG Congress 2018: Istanbul, Turkey, 17 p. 9428 http://www.fig.net/resources/proceedings/fig_proceedings/fig2018/papers/ts08c/TS08C_stocker_koeva_et_al_9428.pdf
Crommelinck, S. C., Bennett, R. M., Gerke, M., Koeva, M.N. Yang, M. Y. & Vosselman, G.
SLIC superpixels for object delineation UAV data, 7 Sep 2017, Proceedings of International Conference on Unmanned Aerial Vehicles in Geomatics, 4-7 September 2017, Bonn, Germany. (ISPRS), Vol. IV-2/W3. p. 9-16 8 p. https://doi.org/10.5194/isprs-annals-IV-2-W3-9-2017
Koeva, M. & Oude Elberink, S.
Challenges for Updating 3D Cadastral Objects using LiDAR and Image-based Point Clouds, Proceedings 5th International Workshop on 3D Cadastres: 18-20 October 2016, Athens, Greece. Copenhagen: International Federation of Surveyors (FIG), p. 169-182 http://www.gdmc.nl/3DCadastres/workshop2016/programme/Workshop2016_09.pdf
Conference papers
Richard Kippers, Mila Koeva, Sander Oude Elberink, Maurice van Keulen.
Automatic 3d building model generation using deep learning methods based on CityJson and 2D floor plans. 3DGeoInfo 2021.
Artificial Intelligence and virtual reality for Land Administration., FIG, 21 Oct 2020, p. s1-s21.
Ying, Y., Koeva, M. N., Kuffer, M. & Zevenbergen, J. A.
Urban 3D modelling methods: A state-of-the-art review, 25 Aug 2020, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: XXIV ISPRS Congress. https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-699-2020
C.Stöcker, M.N. Koeva, Placide Nkerabigwi, J.A. Zevenbergen.
UAV Technology: Opportunities to Support the Updating Process of the Rwandan Cadastre., FIG 2020https://www.fig.net/resources/proceedings/fig_proceedings/fig2020/papers/ts07h/TS07H_stocker_koeva_et_al_10290.pdf
Xia, X., Koeva, M. N. & Persello, C.
Extracting cadastral boundaries from UAV images using fully convolutional networks., Nov 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium. Yokohama: IEEE, p. 2455-2458 4 p. https://doi.org/10.1109/IGARSS.2019.8898156
Koeva, M. N., Crommelinck, S., Stöcker, C., et.al.
Its4land - Innovative geospatial tools for fit-for-purpose land rights mapping., May 2019, p. 1-18. 18 p.
Stöcker, C., Koeva, M. N. & Zevenbergen, J. A.
UAV Technology: Opportunities to support the updating process of the Rwandan cadastre., Jul 2019, Proceedings of the 10th East Africa Land Administration Network (EALAN) Conference 2019. 9 p.
Koeva, M. N., Stöcker, C., Crommelinck, S., Zevenbergen, J. A. & Vosselman, G.
Innovative remote sensing applications to support land tenure mapping in Kenya., 2019. 2 p.
C. Stöcker, F. Nex, M. Koeva, M. Gerke.
UAV-based cadastral mapping: An assessment of the impact of flight parameters and ground truth measurements on the absolute accuracy of derived orthoimages., In ISPRS UAVg 2019 https://doi.org/10.5194/isprs-archives-XLII-2-W13-613-2019
Stöcker, E. C., Koeva, M.N. Zevenbergen, J. A. & Bennett, R. M.
Evaluation of UAV-based technology to capture land rights in Kenya: displaying stakeholder perspectives through interactive gaming, 2019, p. 1. 17 https://www.conftool.com/landandpoverty2019/sessions.php
Crommelinck, S., Yang, M. Y., Koeva, M. N. & Vosselman, G.
Towards Automated Cadastral Boundary Delineation from UAV data, 30 Nov 2018, p. 6. 1 p.
Stöcker, C., Nex, F. C., Koeva, b. & Zevenbergen, J. A.
Data quality assessment of UAV-based products for land tenure recording in East Africa, 29 Nov 2018, p. 1-1. 1 p.
Stöcker, E. C., Koeva, M. N. & Zevenbergen, J. A.
UAV Technology: Opportunities and Limitations to support Land Administration 28 Jun 2018, p. s1-s15. 15 p.
Kitsakis, D., Paasch, J., Paulsson, J., Navratil, G., Vucic, N., Lisec, A., Koeva, M.N. Janecka, K. & Karabin, M. Layer approach to ownership in 3D cadastre - a subway case: 2018, p. s1-s14. 14 p. DOI: 10.1016/j.landusepol.2020.104464
Kohli, D., Crommelinck, S., Bennett, R., Koeva, et.al.
Object-based image analysis for cadastral mapping using satellite images, 4 Oct 2017, Image and Signal Processing for Remote Sensing XXIII. Bruzzone, L. (ed.). SPIE - The International Society for Optical Engineering, p. 33 104270V. (SPIE Proceedings Series; vol. 10427). https://doi.org/10.1117/12.2280254
Stöcker, C., Nex, F. C., Koeva, M. N. & Gerke, M.
Quality assessment of combined IMU/GNSS data for direct georeferencing in the context of UAV-based mapping, 7 Sep 2017, p. 355-361. https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W6/355/2017/isprs-archives-XLII-2-W6-355-2017.pdf
Koeva, M.N. Bennett, et.al.
Towards innovative geospatial tools for fit-for-purpose land rights mapping Proceedings ISPRS geospatial week 2017, 18-22 September 2017, Wuhan, China. Li, D. (ed.). Wuhan: (ISPRS), Vol. XLII-2/W7. p. 37-43 (ISPRS Archives; vol. XLII-2). https://doi.org/10.5194/isprs-archives-XLII-2-W7-37-2017
Koeva, M.N. Bennett, R. M. & Zevenbergen, J. A.
A global perspective on 3D cadastral development, 27 Sep 2016, p. s1-s18.
Aicardi, I., Nyapwere, N., Nex, F. C., Gerke, M., Lingua, A. M. & Koeva, M.N.
Co-registration of multitemporal UAV image datasets for monitoring applications: a new approach 12 Jul 2016, Proceedings of the XXIII ISPRS Congress, Commission IV, 12-19 July 2016, Prague, Czech Republic. Halounova, L. (ed.). Prague, p. 757-763 https://doi.org/10.3390/rs8090779