{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T14:41:04Z","timestamp":1781880064989,"version":"3.54.5"},"reference-count":50,"publisher":"MDPI AG","issue":"13","license":[{"start":{"date-parts":[[2019,6,26]],"date-time":"2019-06-26T00:00:00Z","timestamp":1561507200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004329","name":"Javna Agencija za Raziskovalno Dejavnost RS","doi-asserted-by":"publisher","award":["P2-0406"],"award-info":[{"award-number":["P2-0406"]}],"id":[{"id":"10.13039\/501100004329","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>In order to transcend the challenge of accelerating the establishment of cadastres and to efficiently maintain them once established, innovative, and automated cadastral mapping techniques are needed. The focus of the research is on the use of high-resolution optical sensors on unmanned aerial vehicle (UAV) platforms. More specifically, this study investigates the potential of UAV-based cadastral mapping, where the ENVI feature extraction (FX) module has been used for data processing. The paper describes the workflow, which encompasses image pre-processing, automatic extraction of visible boundaries on the UAV imagery, and data post-processing. It shows that this approach should be applied when the UAV orthoimage is resampled to a larger ground sample distance (GSD). In addition, the findings show that it is important to filter the extracted boundary maps to improve the results. The results of the accuracy assessment showed that almost 80% of the extracted visible boundaries were correct. Based on the automatic extraction method, the proposed workflow has the potential to accelerate and facilitate the creation of cadastral maps, especially for developing countries. In developed countries, the extracted visible boundaries might be used for the revision of existing cadastral maps. However, in both cases, the extracted visible boundaries must be validated by landowners and other beneficiaries.<\/jats:p>","DOI":"10.3390\/rs11131510","type":"journal-article","created":{"date-parts":[[2019,6,26]],"date-time":"2019-06-26T07:24:17Z","timestamp":1561533857000},"page":"1510","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":40,"title":["Extraction of Visible Boundaries for Cadastral Mapping Based on UAV Imagery"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6775-817X","authenticated-orcid":false,"given":"Bujar","family":"Fetai","sequence":"first","affiliation":[{"name":"Faculty of Civil and Geodetic Engineering, University of Ljubljana, Jamova cesta 2, 1000 Ljubljana, Slovenia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4887-7798","authenticated-orcid":false,"given":"Kri\u0161tof","family":"O\u0161tir","sequence":"additional","affiliation":[{"name":"Faculty of Civil and Geodetic Engineering, University of Ljubljana, Jamova cesta 2, 1000 Ljubljana, Slovenia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mojca","family":"Kosmatin Fras","sequence":"additional","affiliation":[{"name":"Faculty of Civil and Geodetic Engineering, University of Ljubljana, Jamova cesta 2, 1000 Ljubljana, Slovenia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6119-3390","authenticated-orcid":false,"given":"Anka","family":"Lisec","sequence":"additional","affiliation":[{"name":"Faculty of Civil and Geodetic Engineering, University of Ljubljana, Jamova cesta 2, 1000 Ljubljana, Slovenia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2019,6,26]]},"reference":[{"key":"ref_1","unstructured":"Enemark, S. (2014). International Federation of Surveyors. Fit-For-Purpose Land Administration: Joint FIG\/World Bank Publication, FIG."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Luo, X., Bennett, R., Koeva, M., Lemmen, C., and Quadros, N. (2017). Quantifying the Overlap between Cadastral and Visual Boundaries: A Case Study from Vanuatu. Urban Sci., 1.","DOI":"10.3390\/urbansci1040032"},{"key":"ref_3","first-page":"11","article-title":"A Systems Approach to Land Registration and Cadastre","volume":"1","author":"Zevenbergen","year":"2004","journal-title":"Nord. J. Surv. Real Estate Res."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1016\/j.landusepol.2013.08.006","article-title":"Land tenure security: Revisiting and refining the concept for Sub-Saharan Africa\u2019s rural poor","volume":"36","author":"Simbizi","year":"2014","journal-title":"Land Use Policy"},{"key":"ref_5","unstructured":"Williamson, I.P. (2010). Land Administration for Sustainable Development, ESRI Press Academic. [1st ed.]."},{"key":"ref_6","unstructured":"Zevenbergen, J.A. (2009). Land Administration: To See the Change from Day to Day, ITC."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Luo, X., Bennett, R.M., Koeva, M., and Lemmen, C. (2017). Investigating Semi-Automated Cadastral Boundaries Extraction from Airborne Laser Scanned Data. Land, 6.","DOI":"10.3390\/land6030060"},{"key":"ref_8","unstructured":"Enemark, S. (2009, January 4\u201326). Land Administration and Cadastral Systems in Support of Sustainable Land Governance\u2014A Global Approach. Proceedings of the Re-Engineering the Cadastre to Support E-Government, Tehran, Iran."},{"key":"ref_9","unstructured":"Maurice, M.J., Koeva, M.N., Gerke, M., Nex, F., and Gevaert, C. (2019, June 25). A Photogrammetric Approach for Map Updating Using UAV in Rwanda. Available online: https:\/\/bit.ly\/2FyhbEi."},{"key":"ref_10","first-page":"5","article-title":"Application of Unmanned Aerial Vehicles in Improving Land Registration in Kenya","volume":"5","author":"Wayumba","year":"2017","journal-title":"Int. J. Res. Eng. Sci."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1007\/s12145-017-0314-6","article-title":"Exploring UAV in Indonesian cadastral boundary data acquisition","volume":"11","author":"Ramadhani","year":"2018","journal-title":"Earth Sci. Inform."},{"key":"ref_12","unstructured":"Mumbone, M., Bennet, R., and Gerke, M. (2015, January 23\u201327). Innovations in Boundary Mapping: Namibia, Customary Lands and UAVs. Proceedings of the Linking Land Tenure and Use for Shared Prosperity, Washington, DC, USA."},{"key":"ref_13","unstructured":"Volkmann, W., and Barnes, G. (2014, January 16\u201321). Virtual Surveying: Mapping and Modeling Cadastral Boundaries Using Unmanned Aerial Systems (UAS). Proceedings of the FIG Congress 2014, Kuala Lumpur, Malaysia."},{"key":"ref_14","first-page":"325","article-title":"Unmanned Aerial Systems in the process of Juridical verification of Cadastral borde","volume":"XL-1\/W2","author":"Rijsdijk","year":"2013","journal-title":"ISPRS Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_15","first-page":"270","article-title":"Validation of measurements of land plot area using UAV imagery","volume":"33","year":"2014","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_16","first-page":"57","article-title":"Unmanned Aerial Vehicle in Cadastral Applications","volume":"XXXVIII-1\/C22","author":"Manyoky","year":"2012","journal-title":"ISPRS Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_17","first-page":"909","article-title":"The posibility of using images obtained from the UAS in cadastral works","volume":"XLI-B1","author":"Kurczynski","year":"2016","journal-title":"ISPRS Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_18","first-page":"93","article-title":"On the use of RPAS in National Mapping\u2014The EuroSDR point of view","volume":"XL-1\/W2","author":"Cramer","year":"2013","journal-title":"ISPRS Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_19","unstructured":"Binns, B.O., and Dale, P.F. (2019, March 20). Cadastral Surveys and Records of Rights in Land. Available online: http:\/\/www.fao.org\/3\/v4860e\/v4860e03.htm."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1671","DOI":"10.3390\/rs4061671","article-title":"Unmanned Aircraft Systems in Remote Sensing and Scientific Research: Classification and Considerations of Use","volume":"4","author":"Watts","year":"2012","journal-title":"Remote Sens."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1016\/j.isprsjprs.2014.02.013","article-title":"Unmanned aerial systems for photogrammetry and remote sensing: A review","volume":"92","author":"Colomina","year":"2014","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Crommelinck, S., Bennett, R., Gerke, M., Nex, F., Yang, M., and Vosselman, G. (2016). Review of Automatic Feature Extraction from High-Resolution Optical Sensor Data for UAV-Based Cadastral Mapping. Remote Sens., 8.","DOI":"10.3390\/rs8080689"},{"key":"ref_23","unstructured":"Baltsavias, E., Li, Z., and Chen, J. (2008). Updating geospatial databases from images. Advances in Photogrammetry, Remote Sensing and Spatial Information Sciences: 2008 ISPRS Congress Book, CRC Press."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"772","DOI":"10.1016\/j.landusepol.2009.10.008","article-title":"On the nature and utility of natural boundaries for land and marine administration","volume":"27","author":"Bennett","year":"2010","journal-title":"Land Use Policy"},{"key":"ref_25","unstructured":"Zevenbergen, J., and Bennett, R. (2015, January 18\u201320). The visible boundary: More than just a line between coordinates. Proceedings of the GeoTech Rwanda, Kigali, Rwanda."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Crommelinck, S., Bennett, R., Gerke, M., Yang, M., and Vosselman, G. (2017). Contour Detection for UAV-Based Cadastral Mapping. Remote Sens., 9.","DOI":"10.3390\/rs9020171"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1080\/14498596.2017.1345667","article-title":"A procedure for semi-automated cadastral boundary feature extraction from high-resolution satellite imagery","volume":"63","author":"Wassie","year":"2018","journal-title":"J. Spat. Sci."},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Kohli, D., Crommelinck, S., and Bennett, R. (2017). Object-Based Image Analysis for Cadastral Mapping Using Satellite Images. Proceedings of the International Society for Optics and Photonics, Image Signal Processing Remote Sensing XXIII, SPIE. The International Society for Optical Engineering.","DOI":"10.1117\/12.2280254"},{"key":"ref_29","unstructured":"Kohli, D., Unger, E.-M., Lemmen, C., Koeva, M., and Bhandari, B. (2018, January 6\u201311). Validation of a cadastral map created using satellite imagery and automated feature extraction techniques: A case of Nepal. Proceedings of the FIG Congress 2018, Istanbul, Turkey."},{"key":"ref_30","first-page":"955","article-title":"Road Detection from Remote Sensing Images using Impervious Surface Characteristics: Review and Implication","volume":"XL-8","author":"Singh","year":"2014","journal-title":"ISPRS Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"107","DOI":"10.5194\/isprsannals-II-8-107-2014","article-title":"Road Network Extraction from High Resolution Multispectral Satellite Imagery Based on Object Oriented Techniques","volume":"II-8","author":"Kumar","year":"2014","journal-title":"ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Wang, J., Qin, Q., Gao, Z., Zhao, J., and Ye, X. (2016). A New Approach to Urban Road Extraction Using high-resolution aerial image. ISPRS Int. J. Geo-Inf., 5.","DOI":"10.3390\/ijgi5070114"},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Paravolidakis, V., Ragia, L., Moirogiorgou, K., and Zervakis, M. (2018). Automatic Coastline Extraction Using Edge Detection and Optimization Procedures. Geosciences, 8.","DOI":"10.3390\/geosciences8110407"},{"key":"ref_34","first-page":"209","article-title":"A test of Automatic Road Extraction approaches","volume":"36","author":"Mayer","year":"2006","journal-title":"ISPRS Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_35","unstructured":"Dey, V., Zhang, Y., and Zhong, M. (2010, January 5\u20137). A review of image segmentation techniques with remote sensing perspective. Proceedings of the ISPRS TC VII Symposium, Vienna, Austria. Part 7a."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"1619","DOI":"10.1016\/j.patcog.2004.03.001","article-title":"Edge- and region-based segmentation technique for the extraction of large, man-made objects in high-resolution satellite imagery","volume":"37","author":"Mueller","year":"2004","journal-title":"Pattern Recognit."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"81","DOI":"10.5194\/isprs-annals-IV-2-81-2018","article-title":"Interactive Cadastral Boundary Deliniation from UAV data","volume":"IV-2","author":"Crommelinck","year":"2018","journal-title":"ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_38","first-page":"30","article-title":"Satellite Imagery Cadastral Features Extractions using Image Processing Algorithms: A Viable Option for Cadastral Science","volume":"9","author":"Babawuro","year":"2012","journal-title":"IJCSI Int. J. Comput. Sci. Issues"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"3144","DOI":"10.1080\/01431161.2015.1054049","article-title":"Road network extraction: A neural-dynamic framework based on deep learning and a finite state machine","volume":"36","author":"Wang","year":"2015","journal-title":"Int. J. Remote Sens."},{"key":"ref_40","first-page":"259","article-title":"Landsat 8 vs. Landsat 5: A comparison based on urban and peri-urban land cover mapping","volume":"35","author":"Poursanidis","year":"2015","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_41","unstructured":"(2008). ITT Visual Information Solutions ENVI Feature Extraction User\u2019s Guide, Harris Geospatial Solutions."},{"key":"ref_42","unstructured":"(2019, May 29). The Surveying and Mapping Authority of the Republic of Slovenia e-Surveying Data, Available online: https:\/\/egp.gu.gov.si\/egp\/?lang=en."},{"key":"ref_43","unstructured":"Jin, X. (2012). Segmentation-Based Image Processing System. (8,260,048), U.S. Patent."},{"key":"ref_44","unstructured":"(2019, March 21). ENVI Segmentation Algorithms Background. Available online: https:\/\/www.harrisgeospatial.com\/docs\/backgroundsegmentationalgorithm.html#Referenc."},{"key":"ref_45","unstructured":"(2019, March 21). ENVI Merge Algorithms Background. Available online: https:\/\/www.harrisgeospatial.com\/docs\/backgroundmergealgorithms.html."},{"key":"ref_46","unstructured":"ENVI Development Team (2018). ENVI The Leading Geospatial Analytics Software, Harris Geospatial Solutions."},{"key":"ref_47","unstructured":"(2019, March 25). Extract Segments Only. Available online: https:\/\/www.harrisgeospatial.com\/docs\/segmentonly.html."},{"key":"ref_48","unstructured":"Las Palmas de, G.C. (2018). QGIS a Free and Open Source Geographic Information System, Version 2.18, Open Source Geospatial Foundation."},{"key":"ref_49","unstructured":"GRASS GIS Development Team (2018). GRASS GIS Bringing Advanced Geospatial Technologies to the World, Version 7.4.2, Open Source Geospatial Foundation."},{"key":"ref_50","first-page":"151","article-title":"Evaluation of Automatic Road Extraction","volume":"32","author":"Heipke","year":"1997","journal-title":"Int. Arch. Photogramm. Remote Sens."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/13\/1510\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T13:01:20Z","timestamp":1760187680000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/13\/1510"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,6,26]]},"references-count":50,"journal-issue":{"issue":"13","published-online":{"date-parts":[[2019,7]]}},"alternative-id":["rs11131510"],"URL":"https:\/\/doi.org\/10.3390\/rs11131510","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,6,26]]}}}