{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T13:42:32Z","timestamp":1780494152610,"version":"3.54.1"},"reference-count":51,"publisher":"MDPI AG","issue":"21","license":[{"start":{"date-parts":[[2020,11,4]],"date-time":"2020-11-04T00:00:00Z","timestamp":1604448000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000780","name":"European Commission","doi-asserted-by":"publisher","award":["687828"],"award-info":[{"award-number":["687828"]}],"id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>During the past years, unmanned aerial vehicles (UAVs) gained importance as a tool to quickly collect high-resolution imagery as base data for cadastral mapping. However, the fact that UAV-derived geospatial information supports decision-making processes involving people\u2019s land rights ultimately raises questions about data quality and accuracy. In this vein, this paper investigates different flight configurations to give guidance for efficient and reliable UAV data acquisition. Imagery from six study areas across Europe and Africa provide the basis for an integrated quality assessment including three main aspects: (1) the impact of land cover on the number of tie-points as an indication on how well bundle block adjustment can be performed, (2) the impact of the number of ground control points (GCPs) on the final geometric accuracy, and (3) the impact of different flight plans on the extractability of cadastral features. The results suggest that scene context, flight configuration, and GCP setup significantly impact the final data quality and subsequent automatic delineation of visual cadastral boundaries. Moreover, even though the root mean square error of checkpoint residuals as a commonly accepted error measure is within a range of few centimeters in all datasets, this study reveals large discrepancies of the accuracy and the completeness of automatically detected cadastral features for orthophotos generated from different flight plans. With its unique combination of methods and integration of various study sites, the results and recommendations presented in this paper can help land professionals and bottom-up initiatives alike to optimize existing and future UAV data collection workflows.<\/jats:p>","DOI":"10.3390\/rs12213625","type":"journal-article","created":{"date-parts":[[2020,11,5]],"date-time":"2020-11-05T00:00:37Z","timestamp":1604534437000},"page":"3625","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":41,"title":["High-Quality UAV-Based Orthophotos for Cadastral Mapping: Guidance for Optimal Flight Configurations"],"prefix":"10.3390","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3063-0797","authenticated-orcid":false,"given":"Claudia","family":"St\u00f6cker","sequence":"first","affiliation":[{"name":"Faculty of Geo-Information Science and Earth Observation, University of Twente, 7514 AE Enschede, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5712-6902","authenticated-orcid":false,"given":"Francesco","family":"Nex","sequence":"additional","affiliation":[{"name":"Faculty of Geo-Information Science and Earth Observation, University of Twente, 7514 AE Enschede, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7612-5270","authenticated-orcid":false,"given":"Mila","family":"Koeva","sequence":"additional","affiliation":[{"name":"Faculty of Geo-Information Science and Earth Observation, University of Twente, 7514 AE Enschede, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2221-6182","authenticated-orcid":false,"given":"Markus","family":"Gerke","sequence":"additional","affiliation":[{"name":"Institute of Geodesy and Photogrammetry, Technische Universit\u00e4t, 38106 Braunschweig, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2020,11,4]]},"reference":[{"key":"ref_1","unstructured":"World Economic Forum (2020). Unlocking Technology for the Global Goals, World Economic Forum."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"219","DOI":"10.1016\/j.landusepol.2013.08.004","article-title":"A geometric and semantic evaluation of 3D data sourcing methods for land and property information","volume":"36","author":"Jazayeri","year":"2014","journal-title":"Land Use Policy"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"48572","DOI":"10.1109\/ACCESS.2019.2909530","article-title":"Unmanned Aerial Vehicles (UAVs): A Survey on civil applications and key research challenges","volume":"7","author":"Shakhatreh","year":"2019","journal-title":"IEEE Access"},{"key":"ref_4","first-page":"5","article-title":"High-resolution mapping with unmanned aerial systems","volume":"74","author":"Barnes","year":"2015","journal-title":"Surv. L. Inf. Sci."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"909","DOI":"10.5194\/isprs-archives-XLI-B1-909-2016","article-title":"The possibility of using images obtained from the uas in cadastral works","volume":"41","author":"Kurczynski","year":"2016","journal-title":"Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci.-ISPRS Arch."},{"key":"ref_6","first-page":"4","article-title":"Unmanned aerial systems in the process of juridical verification of cadastral border","volume":"40","author":"Rijsdijk","year":"2013","journal-title":"Int. Arch. Photogramm. Remote Sens."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"57","DOI":"10.5194\/isprsarchives-XXXVIII-1-C22-57-2011","article-title":"Unmanned aerial vehicle in cadastral applications","volume":"38","author":"Manyoky","year":"2012","journal-title":"ISPRS-Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_8","unstructured":"Mumbone, M., Bennett, R.M., Gerke, M., and Volkmann, W. (2015, January 23\u201327). Innovations in boundary mapping: Namibia, customary lands and UAVs. Proceedings of the Land and Poverty Conference 2015: Linking Land Tenure and Use for Shared Prosperity, Washington, DC, USA."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Koeva, M., St\u00f6cker, C., Crommelinck, S., Ho, S., Chipofya, M., Sahib, J., Bennett, R., Zevenbergen, J., Vosselman, G., and Lemmen, C. (2020). Innovative remote sensing methodologies for Kenyan land tenure mapping. Remote Sens., 12.","DOI":"10.3390\/rs12020273"},{"key":"ref_10","first-page":"1","article-title":"Using UAVs for map creation and updating. A case study in Rwanda","volume":"50","author":"Koeva","year":"2016","journal-title":"Surv. Rev."},{"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. Informatics"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Crommelinck, S., Koeva, M.N., Yang, M.Y., and Vosselman, G. (2018, January 4\u20137). Interactive cadastral boundary delineation from UAV data. Proceedings of the ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, Riva del Garda, Italy.","DOI":"10.5194\/isprs-annals-IV-2-81-2018"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"152","DOI":"10.1016\/j.paerosci.2015.01.001","article-title":"Sense and avoid technologies with applications to unmanned aircraft systems: Review and prospects","volume":"74","author":"Yu","year":"2015","journal-title":"Prog. Aerosp. Sci."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Fetai, B., O\u0161tir, K., Fras, M.K., and Lisec, A. (2019). Extraction of visible boundaries for cadastral mapping based on UAV imagery. Remote Sens., 11.","DOI":"10.3390\/rs11131510"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Xia, X., Persello, C., and Koeva, M. (2019). Deep fully convolutional networks for cadastral boundary detection from UAV images. Remote Sens., 11.","DOI":"10.3390\/rs11141725"},{"key":"ref_16","unstructured":"International Standardization Organization (ISO) (2013). ISO 19157: 2013 Geographic Information-Data Quality, European Committee for Standardization."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"104758","DOI":"10.1016\/j.landusepol.2020.104758","article-title":"The Cadastral triangular model","volume":"97","author":"Grant","year":"2020","journal-title":"Land Use Policy"},{"key":"ref_18","unstructured":"F\u00f6rstner, W., and G\u00fclch, E. (1987, January 2\u20134). A Fast Operator for Detection and Precise Location of Distinct Points, Corners and Centres of Circular Features. Proceedings of the ISPRS Intercommission Conference on Fast Processing of Photogrammetric Data, Interlaken, Switzerland."},{"key":"ref_19","first-page":"91","article-title":"SIFT\u2014The Scale Invariant Feature Transform","volume":"2","author":"Lowe","year":"2004","journal-title":"Int. J."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"835","DOI":"10.1145\/1179352.1141964","article-title":"Photo tourism: Exploring image collections in 3D","volume":"1","author":"Snavely","year":"2006","journal-title":"Proc. SIGGRAPH 2006"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"144","DOI":"10.1111\/phor.12063","article-title":"State of the art in high density image matching","volume":"29","author":"Remondino","year":"2014","journal-title":"Photogramm. Rec."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1111\/j.1477-9730.2011.00671.x","article-title":"Development and status of image matching in photogrammetry","volume":"27","author":"Gruen","year":"2012","journal-title":"Photogramm. Rec."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"5078","DOI":"10.1080\/01431161.2017.1420941","article-title":"A meta-analysis and review of unmanned aircraft system (UAS) imagery for terrestrial applications","volume":"39","author":"Singh","year":"2018","journal-title":"Int. J. Remote Sens."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"441","DOI":"10.5194\/isprs-annals-III-3-441-2016","article-title":"Applicability of new approaches of sensor orientation to micro aerial vehicles","volume":"3","author":"Rehak","year":"2016","journal-title":"ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"487","DOI":"10.5194\/isprsarchives-XXXIX-B7-487-2012","article-title":"Direct georeferencing with on board navigation components of light weight UAV platforms","volume":"39","author":"Pfeifer","year":"2012","journal-title":"Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci.-ISPRS Arch."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"2738","DOI":"10.1109\/TGRS.2013.2265295","article-title":"Direct georeferencing of ultrahigh-resolution UAV imagery","volume":"52","author":"Turner","year":"2014","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"7","DOI":"10.5194\/isprsarchives-XXXVIII-1-C22-7-2011","article-title":"Performance test on UAV-based photogrammetric data collection","volume":"38","author":"Haala","year":"2012","journal-title":"ISPRS-Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_28","unstructured":"Wieser, A. (2014). Development of an RTK-GPS System for Precise Real-time Positioning of Lightweight UAVs. Ingenieurvermessung 14, Proceedings of the 17. Ingenieurvermessungskurs, Z\u00fcrich, Switzerland, 14\u201317 January 2014, S. Wichmann Verlag."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"St\u00f6cker, C., Nex, F., Koeva, M., and Gerke, M. (2017, January 4\u20137). Quality assessment of combined IMU\/GNSS data for direct georeferencing in the context of UAV-based mapping. Proceedings of the International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences\u2014ISPRS Archives, Colone, Germany.","DOI":"10.5194\/isprs-archives-XLII-2-W6-355-2017"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1127\/pfg\/2016\/0284","article-title":"Accuracy analysis of photogrammetric UAV image blocks: Influence of onboard RTK-GNSS and cross flight patterns","volume":"2016","author":"Gerke","year":"2016","journal-title":"Photogramm.-Fernerkundung-Geoinf."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"21","DOI":"10.5623\/cig2016-102","article-title":"Spatial accuracy of UAV-derived orthoimagery and topography: Comparing photogrammetric models processed with direct georeferencing and ground control points","volume":"70","author":"Hugenholtz","year":"2016","journal-title":"Geomatica"},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Forlani, G., Dall\u2019Asta, E., Diotri, F., di Cella, U.M., Roncella, R., and Santise, M. (2018). Quality assessment of DSMs produced from UAV flights georeferenced with onboard RTK positioning. Remote Sens., 10.","DOI":"10.3390\/rs10020311"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1080\/10095020.2019.1710437","article-title":"Accuracy assessment of real-time kinematics (RTK) measurements on unmanned aerial vehicles (UAV) for direct georeferencing","volume":"23","author":"Ekaso","year":"2020","journal-title":"Geo-Spatial Inf. Sci."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"1413","DOI":"10.1002\/esp.3609","article-title":"Mitigating systematic error in topographic models derived from UAV and ground-based image networks","volume":"1420","author":"James","year":"2014","journal-title":"Earth Surf. Process. Landf."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Manfreda, S., Dvorak, P., Mullerova, J., Herban, S., Vuono, P., Arranz Justel, J., and Perks, M. (2019). Assessing the accuracy of digital surface models derived from optical imagery acquired with unmanned aerial systems. Drones, 3.","DOI":"10.3390\/drones3010015"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"12793","DOI":"10.3390\/rs71012793","article-title":"Assessing optimal flight parameters for generating accurate multispectral orthomosaicks by uav to support site-specific crop management","volume":"7","year":"2015","journal-title":"Remote Sens."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"167","DOI":"10.5194\/isprs-archives-XLII-4-W12-167-2019","article-title":"Optimization of ground control point (GCP) configuration for unmanned aerial vehicle (UAV) survey using structure from motion (SFM)","volume":"42","author":"Villanueva","year":"2019","journal-title":"Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci.-ISPRS Arch."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Tonkin, T.N., and Midgley, N.G. (2016). Ground-control networks for image based surface reconstruction: An investigation of optimum survey designs using UAV derived imagery and structure-from-motion photogrammetry. Remote Sens., 8.","DOI":"10.3390\/rs8090786"},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Sanz-Ablanedo, E., Chandler, J.H., Rodr\u00edguez-P\u00e9rez, J.R., and Ord\u00f3\u00f1ez, C. (2018). Accuracy of Unmanned Aerial Vehicle (UAV) and SfM photogrammetry survey as a function of the number and location of ground control points used. Remote Sens., 10.","DOI":"10.3390\/rs10101606"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1016\/j.measurement.2016.12.002","article-title":"Assessment of photogrammetric mapping accuracy based on variation ground control points number using unmanned aerial vehicle","volume":"98","year":"2017","journal-title":"Measurement"},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Oniga, V.E., Breaban, A.I., Pfeifer, N., and Chirila, C. (2020). Determining the suitable number of ground control points for UAS images georeferencing by varying number and spatial distribution. Remote Sens., 12.","DOI":"10.3390\/rs12050876"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1016\/j.geomorph.2016.11.021","article-title":"Optimising UAV topographic surveys processed with structure-from-motion: Ground control quality, quantity and bundle adjustment","volume":"280","author":"James","year":"2017","journal-title":"Geomorphology"},{"key":"ref_43","first-page":"1150","article-title":"Object recognition from local scale-invariant features","volume":"2","author":"Lowe","year":"1999","journal-title":"Proc. IEEE Int. Conf. Comput. Vis."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"346","DOI":"10.1016\/j.cviu.2007.09.014","article-title":"Speeded-up robust features (SURF)","volume":"110","author":"Bay","year":"2008","journal-title":"Comput. Vis. Image Underst."},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Alcantarilla, P.F., Nuevo, J., and Bartoli, A. (2013, January 9\u201313). Fast explicit diffusion for accelerated features in nonlinear scale spaces. Proceedings of the BMVC 2013-Electronic Proceedings of the British Machine Vision Conference, Bristol, UK.","DOI":"10.5244\/C.27.13"},{"key":"ref_46","first-page":"213","article-title":"Photomatch: An open-source multi-view and multi-modal feature matching tool for photogrammetric applications","volume":"43","author":"Farella","year":"2020","journal-title":"ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_47","unstructured":"Lu, C., Xu, L., and Jia, J. (2012, January 28\u201329). Contrast preserving decolorization. Proceedings of the 2012 IEEE International Conference on Computational Photography (ICCP), Seattle, WA, USA."},{"key":"ref_48","unstructured":"Crommelinck, S. (2020, July 10). Delineation Tool. Available online: https:\/\/github.com\/SCrommelinck\/delineation-tool."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"128","DOI":"10.1109\/TPAMI.2016.2537320","article-title":"Multiscale combinatorial grouping for image segmentation and object proposal generation","volume":"39","author":"Arbelaez","year":"2017","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_50","doi-asserted-by":"crossref","unstructured":"Crommelinck, S., Koeva, M., Yang, M.Y., and Vosselman, G. (2019). Application of deep learning for delineation of visible cadastral boundaries from remote sensing imagery. Remote Sens., 11.","DOI":"10.3390\/rs11212505"},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Seifert, E., Seifert, S., Vogt, H., Drew, D., van Aardt, J., Kunneke, A., and Seifert, T. (2019). Influence of drone altitude, image overlap, and optical sensor resolution on multi-view reconstruction of forest images. Remote Sens., 11.","DOI":"10.3390\/rs11101252"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/12\/21\/3625\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T10:29:21Z","timestamp":1760178561000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/12\/21\/3625"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,11,4]]},"references-count":51,"journal-issue":{"issue":"21","published-online":{"date-parts":[[2020,11]]}},"alternative-id":["rs12213625"],"URL":"https:\/\/doi.org\/10.3390\/rs12213625","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,11,4]]}}}