{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T12:07:07Z","timestamp":1774613227474,"version":"3.50.1"},"reference-count":72,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2018,3,21]],"date-time":"2018-03-21T00:00:00Z","timestamp":1521590400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100008775","name":"Mendelova Univerzita v Brn\u011b","doi-asserted-by":"publisher","award":["LDF_PSV_2016016"],"award-info":[{"award-number":["LDF_PSV_2016016"]}],"id":[{"id":"10.13039\/501100008775","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Ministry of Education, Youth and Sports","award":["LO1408"],"award-info":[{"award-number":["LO1408"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Currently, a large part of forest roads with a bituminous surface course constructed in the Czech Republic in the second half of the last century has been worn out. The aim of the study is to verify the possibility and the accuracy of the road wearing course damage detected by four different remote sensing methods: close range photogrammetry, terrestrial laser scanning, mobile laser scanning and airborne laser scanning. At the beginning of verification, cross sections of the road surface were surveyed geodetically and then compared with the cross sections created in the DTMs which were acquired using the four methods mentioned above. The differences calculated between particular models and geodetic measurements show that close range photogrammetry achieved an RMSE of 0.0110 m and the RMSE of terrestrial laser scanning was 0.0243 m. Based on these results, we can conclude that these two methods are sufficient for the monitoring of the asphalt wearing course of forest roads. These methods allow precise and objective localization, size and quantification of the road damage. By contrast, mobile laser scanning with an RMSE of 0.3167 m does not reach the required precision for the damage detection of forest roads due to the vegetation that affects the precision of the measurements. Similar results are achieved by airborne laser scanning, with an RMSE of 0.1392 m. As regards the time needed, close range photogrammetry appears to be the most appropriate method for damage detection of forest roads.<\/jats:p>","DOI":"10.3390\/rs10040492","type":"journal-article","created":{"date-parts":[[2018,3,22]],"date-time":"2018-03-22T05:14:55Z","timestamp":1521695695000},"page":"492","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":31,"title":["Detecting Forest Road Wearing Course Damage Using Different Methods of Remote Sensing"],"prefix":"10.3390","volume":"10","author":[{"given":"Petr","family":"Hr\u016fza","sequence":"first","affiliation":[{"name":"Department of Landscape Management, Faculty of Forestry and Wood Technology, Mendel University in Brno, Zem\u011bd\u011blsk\u00e1 3, 613 00 Brno, Czech Republic"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4013-8923","authenticated-orcid":false,"given":"Tom\u00e1\u0161","family":"Mikita","sequence":"additional","affiliation":[{"name":"Department of Forest Management and Applied Geoinformatics, Faculty of Forestry and Wood Technology, Mendel University in Brno, Zem\u011bd\u011blsk\u00e1 3, 613 00 Brno, Czech Republic"}]},{"given":"Nataliya","family":"Tyagur","sequence":"additional","affiliation":[{"name":"Institute of Geodesy, Faculty of Civil Engineering, Brno University of Technology, Veveri 331\/95, 602 00Brno, Czech Republic"}]},{"given":"Zdenek","family":"Krejza","sequence":"additional","affiliation":[{"name":"Centre AdMaS, Faculty of Civil Engineering, Brno University of Technology, Purky\u0148ova 651\/139, 612 00 Brno, Czech Republic"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8741-9039","authenticated-orcid":false,"given":"Milo\u0161","family":"Cibulka","sequence":"additional","affiliation":[{"name":"Department of Forest Management and Applied Geoinformatics, Faculty of Forestry and Wood Technology, Mendel University in Brno, Zem\u011bd\u011blsk\u00e1 3, 613 00 Brno, Czech Republic"}]},{"given":"Andrea","family":"Proch\u00e1zkov\u00e1","sequence":"additional","affiliation":[{"name":"Department of Forest Management and Applied Geoinformatics, Faculty of Forestry and Wood Technology, Mendel University in Brno, Zem\u011bd\u011blsk\u00e1 3, 613 00 Brno, Czech Republic"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0950-7700","authenticated-orcid":false,"given":"Zden\u011bk","family":"Pato\u010dka","sequence":"additional","affiliation":[{"name":"Department of Forest Management and Applied Geoinformatics, Faculty of Forestry and Wood Technology, Mendel University in Brno, Zem\u011bd\u011blsk\u00e1 3, 613 00 Brno, Czech Republic"}]}],"member":"1968","published-online":{"date-parts":[[2018,3,21]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1061\/(ASCE)1076-0342(2010)16:1(66)","article-title":"Rank correlation method for evaluating manual pavement distress data variability","volume":"16","author":"Bogus","year":"2010","journal-title":"J. Infrastruct. Syst."},{"key":"ref_2","first-page":"309","article-title":"Accuracy assessment of GPS and surveying technique in forest road mapping","volume":"55","author":"Abdie","year":"2012","journal-title":"Ann. For. Res."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1061\/(ASCE)0733-9453(2007)133:4(159)","article-title":"Assessment of low-cost receiver accuracy and precision in forest environments","volume":"133","author":"Alvarez","year":"2007","journal-title":"J. Surv. Eng."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"641","DOI":"10.3390\/rs2030641","article-title":"Detection bogusof Vertical Pole-Like Objects in a Road Environment Using Vehicle-Based Laser Scanning Data","volume":"2","author":"Jaakkola","year":"2010","journal-title":"Remote Sens."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Li, Q., Yao, M., Yao, X., and Xu, B. (2009). A real-time 3D scanning system for pavement distortion inspection. Meas. Sci. Technol., 21.","DOI":"10.1088\/0957-0233\/21\/1\/015702"},{"key":"ref_6","unstructured":"Wang, K.C.P., Gong, W., Tracy, T., and Nguyen, V. (2011). Automated Survey of Pavement Distress Based on 2D and 3D Laser Images, The National Academies of Sciences, Engineering, and Medicine."},{"key":"ref_7","first-page":"667","article-title":"A new rutting measurement method using emerging 3D line-laser-imaging system","volume":"6","author":"Tsai","year":"2013","journal-title":"Int. J. Pavement Res. Technol."},{"key":"ref_8","first-page":"975","article-title":"Forest Road Detection Using LiDAR Data","volume":"25","author":"Azizi","year":"2014","journal-title":"J. For."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"795","DOI":"10.1016\/j.jas.2006.06.018","article-title":"Detection of exposed and subsurface archaeological remains using multi-sensor remote sensing","volume":"34","author":"Rowlands","year":"2007","journal-title":"J. Archaeol. Sci."},{"key":"ref_10","unstructured":"Shan, J., and Toth, C.K. (2009). Forest Inventory Using Small-Footprint Airborne LiDAR. Topographic Laser Ranging and Scanning, Principles and Processing, CRC Press."},{"key":"ref_11","first-page":"187","article-title":"Building Reconstruction from Images and Laser Scanning","volume":"6","author":"Brenner","year":"2005","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1016\/j.isprsjprs.2004.05.004","article-title":"Experimental Comparison of Filter Algorithms for Bare-Earth Extraction from Airborne Laser Scanning Point Clouds","volume":"59","author":"Sithole","year":"2004","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_13","unstructured":"Hyypp\u00e4, J., Hyypp\u00e4, H., Litkey, P., Yu, X., Haggr\u00e9n, H., R\u00f6nnholm, P., Pyysalo, U., Pitk\u00e4nen, J., and Maltamo, M. (2004). Algorithms and Methods of Airborne Laser Scanning for Forest Measurements, International Society for Photogrammetry and Remote Sensing (ISPRS)."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1120","DOI":"10.3390\/rs2041120","article-title":"Forest road mapped using LiDAR in steep forested terrain","volume":"2","author":"White","year":"2010","journal-title":"Remote Sens."},{"key":"ref_15","first-page":"1","article-title":"Study of Automatic Forest Road Design Model Considering Shallow landslides with LiDAR Data of Funyu Experimental Forest","volume":"34","author":"Saito","year":"2013","journal-title":"Croat. J. For. Eng."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"471","DOI":"10.1007\/s10310-005-0174-7","article-title":"Forest road design with soil sediment using a high-resolution DEM","volume":"10","author":"Aruga","year":"2005","journal-title":"J. For. Res."},{"key":"ref_17","first-page":"125","article-title":"Improving Accuracy in Earthwork Volume Estimation for Proposed Forest Roads Using a High-Resolution Digital Elevation Model","volume":"33","author":"Contreras","year":"2012","journal-title":"Croat. J. For. Eng."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"4663","DOI":"10.1007\/s10661-015-4663-7","article-title":"Using remote sensing data to predict road fill areas affected by fill erosion with planned forest road construction. A case study in Kastamonu Regional Forest Directorate (Turkey)","volume":"187","author":"Aricak","year":"2015","journal-title":"Environ. Monit. Assess."},{"key":"ref_19","first-page":"946","article-title":"Effect of LiDAR derived DEM resolution on terrain attributes, stream characterization and watershed delineation","volume":"6","author":"Dehvari","year":"2013","journal-title":"Int. J. Agric. Crop Sci."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"277","DOI":"10.5038\/1827-806X.44.3.6","article-title":"Large-scale and high-resolution 3-D cave mapping by terrestrial laser scanning: A case study of the domica cave, Slovakia","volume":"44","author":"Gallay","year":"2015","journal-title":"Int. J. Speleol."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"503","DOI":"10.1007\/s10346-013-0400-x","article-title":"Delineating and defining the boundaries of an active landslide in the rainforest of Puerto Rico using a combination of airborne and terrestrial LIDAR data","volume":"10","author":"Wang","year":"2013","journal-title":"Landslides"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"126","DOI":"10.5721\/EuJRS20134608","article-title":"Monitoring of large landslides by terrestrial laser scanning techniques: Field data collection and processing","volume":"46","author":"Barbarella","year":"2013","journal-title":"Eur. J. Remote Sens."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"959","DOI":"10.1007\/s13595-011-0102-2","article-title":"The use of terrestrial LiDAR technology in forest science: Application fields, benefits and challenges","volume":"68","author":"Dassot","year":"2011","journal-title":"Ann. For. Sci."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"142","DOI":"10.1016\/j.envsoft.2016.04.025","article-title":"Deriving comprehensive forest structure information from mobile laser scanning observations using automated point cloud classification","volume":"82","author":"Marselis","year":"2016","journal-title":"Environ. Model. Softw."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3390\/rs4010001","article-title":"Retrieving forest inventory variables with terrestrial laser scanning (TLS) in urban heterogeneous forest","volume":"4","author":"Moskal","year":"2011","journal-title":"Remote Sens."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"829","DOI":"10.1016\/j.autcon.2010.06.007","article-title":"Automatic reconstruction of as-built building information models from laser-scanned point clouds: A review of related techniques","volume":"19","author":"Tang","year":"2010","journal-title":"Autom. Constr."},{"key":"ref_27","first-page":"133","article-title":"3D terrestrial laser scanner for managing existing building","volume":"76","author":"Shukor","year":"2015","journal-title":"J. Teknol."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1007\/s10064-015-0815-9","article-title":"Integrated ultrasonic, laser scanning and petrographical characterisation of carbonate building materials on an architectural structure of a historic building","volume":"76","author":"Fais","year":"2017","journal-title":"Bull. Eng. Geol. Environ."},{"key":"ref_29","first-page":"163","article-title":"Advances in multi-sensor scanning and visualization of complex plants: The utmost case of a reactor building","volume":"XL-5W4","author":"Hullo","year":"2015","journal-title":"ISPRS Arch."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"1055","DOI":"10.1002\/esp.3353","article-title":"Measuring bluff erosion part 1: Terrestrial laser scanning methods for change detection","volume":"38","author":"Day","year":"2013","journal-title":"Earth Surf. Process. Landf."},{"key":"ref_31","first-page":"2615","article-title":"Advanced technologies for archaeological documentation: Patara case","volume":"5","author":"Ergincan","year":"2010","journal-title":"Sci. Res. Essays"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"475","DOI":"10.1016\/j.jas.2014.08.012","article-title":"A hybrid measurement approach for archaeological site modelling and monitoring: The case study of Mas D\u2019Is, Pen\u00e0guila","volume":"50","author":"Torres","year":"2014","journal-title":"J. Archaeol. Sci."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"423","DOI":"10.1016\/j.culher.2007.06.003","article-title":"Documentation of cultural heritage using digital photogrammetry and laser scanning","volume":"8","author":"Yastikli","year":"2007","journal-title":"J. Cult. Heritage"},{"key":"ref_34","unstructured":"Castagnetti, C., Bertacchini, E., Capra, A., and Dubbini, M. (2012, January 6\u201310). Terrestrial laser scanning for preserving cultural heritage: Analysis of geometric anomalies for ancient structures. Proceedings of the FIG Working Week, Rome, Italy."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"367","DOI":"10.1007\/s12541-017-0044-1","article-title":"3D scanning technique for obtaining road surface and its applications","volume":"18","author":"Choi","year":"2016","journal-title":"Int. J. Precis. Eng. Manuf."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"9110","DOI":"10.3390\/s120709110","article-title":"Laser scanning on road pavements: A new approach for characterizing surface texture","volume":"12","author":"Bitelli","year":"2012","journal-title":"Sensors"},{"key":"ref_37","unstructured":"P\u0159ikryl, M., and Kutil, L. (2014, January 3\u20134). Consequences of a complex using of 3D approach in the implementation of the road reconstruction\u2014Usage of TLS stop&go and usage of paving control system for milling machines. Proceedings of the 6th International Conference on Engineering Surveying (INGEO 2014), Prague, Czech Republic."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Barbarella, M., De Blasiis, M.R., Fiani, M., and Santoni, M. (2014). A LiDAR application for the study of taxiway surface evenness and slope. ISPRS Annals Photogrammetry, Remote Sensing and Spatial Information Sciences, Proceedings of the ISPRS Technical Commision V Symposium, Riva del Garda, Italy, 23\u201325 June 2014, ISPRS.","DOI":"10.5194\/isprsannals-II-5-65-2014"},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Chin, A., and Olsen, M.J. (2015). Evaluation of technologies for road profile capture, analysis, and evaluation. J. Surv. Eng., 141.","DOI":"10.1061\/(ASCE)SU.1943-5428.0000134"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1016\/j.measurement.2017.02.045","article-title":"Short term monitoring of forest road pavement degradation using terrestrial laser scanning","volume":"103","author":"Akgul","year":"2017","journal-title":"Measurement"},{"key":"ref_41","unstructured":"Wang, H. (2005). Development of Laser System to Measure Pavement Rutting. [Master\u2019s Thesis, University of South Florida]. Available online: http:\/\/digital.lib.usf.edu\/SFS0025691\/00001."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"22","DOI":"10.3844\/ajessp.2005.22.28","article-title":"Functional planning criterion of forest road network syst\u00e9m according to recent forestry development and suggestion in Turkey","volume":"1","author":"Demir","year":"2005","journal-title":"Am. J. Environ. Sci."},{"key":"ref_43","unstructured":"Mrics, S.W., Clegg, P., and Jones, R. (2005, January 3\u20135). Combining terrestrial laser scanning, RTK GPS and 3D visualisation: Application of optical 3D measurement in geological exploration. Proceedings of the 7th Conference on Optical 3D Measurement Techniques, Vienna, Austria."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"5238","DOI":"10.3390\/s8095238","article-title":"Retrieval algorithms for road surface modelling using laser-based mobile mapping","volume":"8","author":"Jaakkola","year":"2008","journal-title":"Sensors"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"1472","DOI":"10.3390\/rs3071472","article-title":"Evaluation of a LiDAR land-based mobile mapping system for monitoring sandy coasts","volume":"3","author":"Bitenc","year":"2011","journal-title":"Remote Sens."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"385","DOI":"10.5194\/isprsannals-II-5-385-2014","article-title":"Geometric road runoff estimation from laser mobile mapping data","volume":"2","author":"Wang","year":"2014","journal-title":"ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"219","DOI":"10.1080\/19479832.2016.1188860","article-title":"Use of mobile LiDAR in road information inventory: A review","volume":"7","author":"Guan","year":"2016","journal-title":"Int. J. Image Data Fusion"},{"key":"ref_48","first-page":"91","article-title":"An automated road roughness detection from mobile laser scanning data","volume":"42","author":"Kumar","year":"2017","journal-title":"ISPRS Arch."},{"key":"ref_49","unstructured":"B\u00f6der, V., Kersten, T.P., Thies, T., and Sauer, A. (2011, January 18\u201322). Mobile laser scanning on board hydrographic survey vessels\u2014Applications and accuracy investigations. Proceedings of the FIG Working Week 2011, Marrakech, Morocco. Bridging the Gap between Cultures."},{"key":"ref_50","unstructured":"Mitchell, T., Suarez, G., and Chazaly, B. Evaluation of coastal vulnerability with mobile laser scanning from a vessel. Proceedings of the IEEE Oceanic Engineering Society (OCEANS 2013), San Diego, CA, USA."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1515\/pomr-2015-0064","article-title":"Maritime Laser Scanning as the Source for Spatial Data","volume":"22","author":"Szulwic","year":"2015","journal-title":"Pol. Marit. Res."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"272","DOI":"10.1016\/j.optlastec.2017.06.015","article-title":"Detection and classification of pole-like road objects from mobile LiDAR data in motorway environment","volume":"97","author":"Yan","year":"2017","journal-title":"Opt. Laser Technol."},{"key":"ref_53","doi-asserted-by":"crossref","unstructured":"Szulwic, J., and Tysi\u0105c, P. (2017). Searching for road deformations using mobile laser scanning. MATEC Web Conf., 122.","DOI":"10.1051\/matecconf\/201712204004"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"377","DOI":"10.5194\/isprsannals-II-3-W5-377-2015","article-title":"Road orthophoto\/DTM generation from mobile laser csanning","volume":"II-3\/W5","author":"Vallet","year":"2015","journal-title":"ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_55","first-page":"483","article-title":"Multiplatform approach to mobile laser scanning","volume":"XXXIX-B2","author":"Kukko","year":"2012","journal-title":"ISPRS Arch"},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1016\/j.isprsjprs.2011.08.006","article-title":"Recognizing basic structures from mobile laser scanning data for road inventory studies","volume":"66","author":"Pu","year":"2011","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"217","DOI":"10.5194\/isprsannals-II-5-W2-217-2013","article-title":"Robust locally weighted regression for ground surface extraction in mobile laser scanning 3D data","volume":"1","author":"Nurunnabi","year":"2013","journal-title":"ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1016\/j.isprsjprs.2017.09.006","article-title":"Graph SLAM correction for single scanner MLS forest data under boreal forest canopy","volume":"132","author":"Kukko","year":"2017","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1016\/S0924-2716(98)00009-4","article-title":"Determination of terrain models in wooded areas with airborne laser scanner data","volume":"53","author":"Kraus","year":"1998","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_60","first-page":"55","article-title":"Applications of the robust interpolation for DTM determination","volume":"34","author":"Briese","year":"2002","journal-title":"ISPRS Arch."},{"key":"ref_61","first-page":"387","article-title":"Digital terrain models from mobile laser scanning data in Moravian karst","volume":"XLI-B3","author":"Tyagur","year":"2016","journal-title":"ISPRS Arch."},{"key":"ref_62","first-page":"55","article-title":"Orientation and processing of airborne laser scanning data (OPALS)\u2014Concept and first results of a comprehensive ALS software","volume":"XXXVIII","author":"Mandlburger","year":"2009","journal-title":"ISPRS Arch."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"153","DOI":"10.5194\/isprsannals-I-3-153-2012","article-title":"The OPALS Data Manager\u2014Efficient Data Management for Processing Large Airborne Laser Scanning Projects","volume":"1\u20133","author":"Otepka","year":"2012","journal-title":"ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1016\/j.compenvurbsys.2013.11.002","article-title":"OPALS\u2013A framework for Airborne Laser Scanning data analysis","volume":"45","author":"Pfeifer","year":"2014","journal-title":"Comput. Environ. Urban Syst."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"405","DOI":"10.1098\/rspb.1979.0006","article-title":"The interpretation of structure from motion","volume":"203","author":"Ullman","year":"1979","journal-title":"Proc. R. Soc. Lond. Ser. B"},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"1537","DOI":"10.11118\/actaun201664051537","article-title":"Monitoring of forest hauling roads wearing course damage using unmanned aerial systems","volume":"64","author":"Mikita","year":"2016","journal-title":"Acta Univ. Agric. Silvic. Mendelianae Brun."},{"key":"ref_67","first-page":"75","article-title":"Accuracy of terrestrial imaging for the detection of forest road wearing course damage","volume":"62","author":"Mikita","year":"2017","journal-title":"Zpr. Lesnick\u00e9ho V\u00fdzkumu"},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"668","DOI":"10.1016\/j.conbuildmat.2017.04.096","article-title":"Assessment of crack on concrete bridges using image processing supported by laser scanning survey","volume":"146","author":"Puente","year":"2017","journal-title":"Constr. Build. Mater."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1016\/j.isprsjprs.2016.01.006","article-title":"Terrestrial laser scanning in forest inventories","volume":"115","author":"Liang","year":"2016","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"6355","DOI":"10.1080\/01431161.2013.800658","article-title":"Accuracy assessment of a mobile terrestrial lidar survey at Padre Island National Seashore","volume":"34","author":"Lim","year":"2013","journal-title":"Int. J. Remote Sens."},{"key":"ref_71","first-page":"293","article-title":"Mapping curbstones in airbone and mobile laser scanning data","volume":"18","author":"Zhou","year":"2012","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_72","unstructured":"Guan, H., Li, J., and Yu, Y. (2013, January 1\u20133). 3D urban mapping using a Trimble MX8 mobile laser scanning system: A validation study. Proceedings of the 8th International Symposium on Mobile Mapping Technology (MMT 2013), Tainan, Taiwan."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/4\/492\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T14:57:57Z","timestamp":1760194677000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/4\/492"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,3,21]]},"references-count":72,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2018,4]]}},"alternative-id":["rs10040492"],"URL":"https:\/\/doi.org\/10.3390\/rs10040492","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,3,21]]}}}