{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T12:10:21Z","timestamp":1777983021164,"version":"3.51.4"},"reference-count":77,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2021,5,29]],"date-time":"2021-05-29T00:00:00Z","timestamp":1622246400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>Analysis of two small semi-mountainous catchments in central Evia island, Greece, highlights the advantages of Unmanned Aerial Vehicle (UAV) and Terrestrial Laser Scanning (TLS) based change detection methods. We use point clouds derived by both methods in two sites (S1 &amp; S2), to analyse the effects of a recent wildfire on soil erosion. Results indicate that topsoil\u2019s movements in the order of a few centimetres, occurring within a few months, can be estimated. Erosion at S2 is precisely delineated by both methods, yielding a mean value of 1.5 cm within four months. At S1, UAV-derived point clouds\u2019 comparison quantifies annual soil erosion more accurately, showing a maximum annual erosion rate of 48 cm. UAV-derived point clouds appear to be more accurate for channel erosion display and measurement, while the slope wash is more precisely estimated using TLS. Analysis of Point Cloud time series is a reliable and fast process for soil erosion assessment, especially in rapidly changing environments with difficult access for direct measurement methods. This study will contribute to proper georesource management by defining the best-suited methodology for soil erosion assessment after a wildfire in Mediterranean environments.<\/jats:p>","DOI":"10.3390\/ijgi10060367","type":"journal-article","created":{"date-parts":[[2021,5,31]],"date-time":"2021-05-31T00:22:15Z","timestamp":1622420535000},"page":"367","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":46,"title":["Comparing High Accuracy t-LiDAR and UAV-SfM Derived Point Clouds for Geomorphological Change Detection"],"prefix":"10.3390","volume":"10","author":[{"given":"Simoni","family":"Alexiou","sequence":"first","affiliation":[{"name":"Laboratory of Mineralogy-Geology, Department of Natural Resources Management and Agricultural Engineering, Agricultural University of Athens, 75, Iera Odos str., 11855 Athens, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3620-6153","authenticated-orcid":false,"given":"Georgios","family":"Deligiannakis","sequence":"additional","affiliation":[{"name":"Laboratory of Mineralogy-Geology, Department of Natural Resources Management and Agricultural Engineering, Agricultural University of Athens, 75, Iera Odos str., 11855 Athens, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aggelos","family":"Pallikarakis","sequence":"additional","affiliation":[{"name":"Laboratory of Mineralogy-Geology, Department of Natural Resources Management and Agricultural Engineering, Agricultural University of Athens, 75, Iera Odos str., 11855 Athens, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3576-3636","authenticated-orcid":false,"given":"Ioannis","family":"Papanikolaou","sequence":"additional","affiliation":[{"name":"Laboratory of Mineralogy-Geology, Department of Natural Resources Management and Agricultural Engineering, Agricultural University of Athens, 75, Iera Odos str., 11855 Athens, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1094-9397","authenticated-orcid":false,"given":"Emmanouil","family":"Psomiadis","sequence":"additional","affiliation":[{"name":"Laboratory of Mineralogy-Geology, Department of Natural Resources Management and Agricultural Engineering, Agricultural University of Athens, 75, Iera Odos str., 11855 Athens, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Klaus","family":"Reicherter","sequence":"additional","affiliation":[{"name":"Institute of Neotectonics and Natural Hazards, RWTH Aachen University, 52062 Aachen, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,5,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1080\/153249802317304422","article-title":"Land degradation in the drylands","volume":"16","author":"Dregne","year":"2002","journal-title":"Arid Land Res. Manag."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Larsen, I.J., and MacDonald, L.H. (2007). Predicting postfire sediment yields at the hillslope scale: Testing RUSLE and Disturbed WEPP. Water Resour. Res., 43.","DOI":"10.1029\/2006WR005560"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/j.earscirev.2011.01.001","article-title":"Post-wildfire soil erosion in the Mediterranean: Review and future research directions","volume":"105","author":"Shakesby","year":"2011","journal-title":"Earth Sci. Rev."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"588","DOI":"10.1002\/2015JF003600","article-title":"Illuminating wildfire erosion and deposition patterns with repeat terrestrial LiDAR","volume":"121","author":"Rengers","year":"2016","journal-title":"J. Geophys. Res. Earth Surf."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"383","DOI":"10.1007\/s00267-018-1044-3","article-title":"The Significance of Land Cover Delineation on Soil Erosion Assessment","volume":"62","author":"Efthimiou","year":"2018","journal-title":"Environ. Manag."},{"key":"ref_6","unstructured":"Morgan, R.P.C. (2005). Soil Erosion and Conservation, Blackwell Publishing. [3rd ed.]."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1016\/j.geoderma.2015.06.025","article-title":"Erosion rate predictions from PESERA and RUSLE at a Mediterranean site before and after a wildfire: Comparison & implications","volume":"261","author":"Karamesouti","year":"2016","journal-title":"Geoderma"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"871","DOI":"10.2112\/1551-5036(2004)20[871:TMFMCE]2.0.CO;2","article-title":"Terrestrial methods for monitoring cliff erosion in an urban environment","volume":"20","author":"Gulyaev","year":"2004","journal-title":"J. Coast. Res."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"550","DOI":"10.1130\/GES00110.1","article-title":"Chronotopographic analysis directly from point-cloud data: A method for detecting small, seasonal hillslope change, Black Mesa Escarpment, NE Arizona","volume":"3","author":"Wawrzyniec","year":"2007","journal-title":"Geosphere"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"2024","DOI":"10.1111\/j.1365-3091.2009.01068.x","article-title":"Analysing laser-scanned digital terrain models of gravel bed surfaces: Linking morphology to sediment transport processes and hydraulics","volume":"56","author":"Hodge","year":"2009","journal-title":"Sedimentology"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"794","DOI":"10.1061\/(ASCE)HY.1943-7900.0000233","article-title":"Terrestrial Laser Scanning for Monitoring Streambank Retreat: Comparison with Traditional Surveying Techniques","volume":"136","author":"Resop","year":"2010","journal-title":"J. Hydraul. Eng."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"695","DOI":"10.1002\/esp.2098","article-title":"The rates and spatial patterns of annual riverbank erosion revealed through terrestrial laser-scanner surveys of the South River, Virginia","volume":"36","author":"Pizzuto","year":"2011","journal-title":"Earth Surf. Process. Landforms"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1016\/j.geomorph.2016.06.027","article-title":"Erosion processes in calanchi in the Upper Orcia Valley, Southern Tuscany, Italy based on multitemporal high-resolution terrestrial LiDAR and UAV surveys","volume":"269","author":"Neugirg","year":"2016","journal-title":"Geomorphology"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Ro\u015fca, S., Suomalainen, J., Bartholomeus, H., and Herold, M. (2018). Comparing terrestrial laser scanning and unmanned aerial vehicle structure from motion to assess top of canopy structure in tropical forests. Interface Focus, 8.","DOI":"10.1098\/rsfs.2017.0038"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"947","DOI":"10.1016\/j.tecto.2013.07.024","article-title":"Slip vector analysis with high resolution t-LiDAR scanning","volume":"608","author":"Wiatr","year":"2013","journal-title":"Tectonophysics"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1016\/j.geomorph.2015.02.019","article-title":"Reprint of: Bedrock fault scarp history: Insight from t-LiDAR backscatter behaviour and analysis of structure changes","volume":"237","author":"Wiatr","year":"2015","journal-title":"Geomorphology"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"323","DOI":"10.5194\/se-7-323-2016","article-title":"3-D visualisation of palaeoseismic trench stratigraphy and trench logging using terrestrial remote sensing and GPR \u2013 A multiparametric interpretation","volume":"7","author":"Schneiderwind","year":"2016","journal-title":"Solid Earth"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"216","DOI":"10.1016\/j.tecto.2016.06.036","article-title":"Fault structure and deformation rates at the Lastros-Sfaka Graben, Crete","volume":"683","author":"Mason","year":"2016","journal-title":"Tectonophysics"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1016\/j.isprsjprs.2015.12.004","article-title":"Correction of terrestrial LiDAR intensity channel using Oren\u2013Nayar reflectance model: An application to lithological differentiation","volume":"113","author":"Carrea","year":"2016","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1016\/S0924-2716(99)00014-3","article-title":"A comparison between photogrammetry and laser scanning","volume":"54","author":"Baltsavias","year":"1999","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"331","DOI":"10.14358\/PERS.70.3.331","article-title":"Accuracy of airborne LiDAR-derived elevation: Empirical assessment and error budget","volume":"70","author":"Hodgson","year":"2004","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1080\/13658810600894364","article-title":"DEM resolution dependencies of terrain attributes across a landscape","volume":"21","author":"Deng","year":"2007","journal-title":"Int. J. Geogr. Inf. Sci."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Reuter, H.I., Hengl, T., Gessler, P., and Soille, P. (2009). Preparation of DEMs for Geomorphometric Analysis, Elsevier Ltd.","DOI":"10.1016\/S0166-2481(08)00004-4"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"252","DOI":"10.1016\/j.proenv.2011.07.044","article-title":"Spatial statistics of surface roughness change derived from multi-scale digital elevation models","volume":"Volume 7","author":"Tian","year":"2011","journal-title":"Procedia Environmental Sciences"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1016\/j.envsoft.2014.04.005","article-title":"What is the effect of LiDAR-derived DEM resolution on large-scale watershed model results?","volume":"58","author":"Yang","year":"2014","journal-title":"Environ. Model. Softw."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Lindsay, J.B., Francioni, A., and Cockburn, J.M.H. (2019). LiDAR DEM Smoothing and the Preservation of Drainage Features. Remote Sens., 11.","DOI":"10.3390\/rs11161926"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"100","DOI":"10.1016\/S0924-2716(01)00041-7","article-title":"Application of airborne scanning laser altimetry to the study of tidal channel geomorphology","volume":"56","author":"Lohani","year":"2001","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"363","DOI":"10.1144\/1470-9236\/05-008","article-title":"Terrestrial laser scanning for monitoring the process of hard rock coastal cliff erosion","volume":"38","author":"Rosser","year":"2005","journal-title":"Q. J. Eng. Geol. Hydrogeol."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1002\/esp.1375","article-title":"Towards a protocol for laser scanning in fluvial geomorphology","volume":"32","author":"Heritage","year":"2007","journal-title":"Earth Surf. Process. Landforms"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1016\/S0924-2716(99)00011-8","article-title":"Airborne laser scanning\u2014An introduction and overview","volume":"54","author":"Wehr","year":"1999","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"3237","DOI":"10.1016\/j.rse.2011.07.007","article-title":"Tracking and evolution of complex active landslides by multi-temporal airborne LiDAR data: The Montaguto landslide (Southern Italy)","volume":"115","author":"Ventura","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"640","DOI":"10.1002\/esp.3351","article-title":"Kinematics of active earthflows revealed by digital image correlation and DEM subtraction techniques applied to multi-temporal LiDAR data","volume":"38","author":"Daehne","year":"2013","journal-title":"Earth Surf. Process. Landforms"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"204","DOI":"10.1016\/j.geomorph.2005.06.001","article-title":"Geospatial analysis of a coastal sand dune field evolution: Jockey\u2019s Ridge, North Carolina","volume":"72","author":"Mitasova","year":"2005","journal-title":"Geomorphology"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"421","DOI":"10.14358\/PERS.76.4.421","article-title":"Comparison of airborne and terrestrial LiDAR estimates of seacliff erosion in southern California","volume":"76","author":"Young","year":"2010","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1016\/j.geomorph.2011.08.024","article-title":"Combining airborne and terrestrial laser scanning for quantifying erosion and deposition by a debris flow event","volume":"138","author":"Bremer","year":"2012","journal-title":"Geomorphology"},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Baughman, C.A., Jones, B.M., Bodony, K.L., Mann, D.H., Larsen, C.F., Himelstoss, E., and Smith, J. (2018). Remotely sensing the morphometrics and dynamics of a cold region dune field using historical aerial photography and airborne LiDAR data. Remote Sens., 10.","DOI":"10.3390\/rs10050792"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"300","DOI":"10.1016\/j.geomorph.2012.08.021","article-title":"\u201cStructure-from-Motion\u201d photogrammetry: A low-cost, effective tool for geoscience applications","volume":"179","author":"Westoby","year":"2012","journal-title":"Geomorphology"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1016\/j.apgeog.2019.02.002","article-title":"Comparison of leaf-off and leaf-on combined UAV imagery and airborne LiDAR for assessment of a post-mining site terrain and vegetation structure: Prospects for monitoring hazards and restoration success","volume":"104","author":"Fogl","year":"2019","journal-title":"Appl. Geogr."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1023\/B:VISI.0000029664.99615.94","article-title":"Distinctive image features from scale-invariant keypoints","volume":"60","author":"Lowe","year":"2004","journal-title":"Int. J. Comput. Vis."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1016\/j.enggeo.2011.03.012","article-title":"UAV-based remote sensing of the Super-Sauze landslide: Evaluation and results","volume":"128","author":"Niethammer","year":"2012","journal-title":"Eng. Geol."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"50","DOI":"10.2747\/1548-1603.48.1.50","article-title":"Analysis of Post-flood Recruitment Patterns in Braided-Channel Rivers at Multiple Scales Based on an Image Series Collected by Unmanned Aerial Vehicles, Ultra-light Aerial Vehicles, and Satellites","volume":"48","author":"Hervouet","year":"2011","journal-title":"GIScience Remote Sens."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"290","DOI":"10.1016\/j.ijdrr.2018.10.015","article-title":"An integrated approach of ground and aerial observations in flash flood disaster investigations. The case of the 2017 Mandra flash flood in Greece","volume":"33","author":"Diakakis","year":"2019","journal-title":"Int. J. Disaster Risk Reduct."},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Andreadakis, E., Diakakis, M., Vassilakis, E., Deligiannakis, G., Antoniadis, A., Andriopoulos, P., Spyrou, N.I., and Nikolopoulos, E.I. (2020). Unmanned Aerial Systems-Aided Post-Flood Peak Discharge Estimation in Ephemeral Streams. Remote Sens., 12.","DOI":"10.3390\/rs12244183"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"1464","DOI":"10.1002\/esp.3728","article-title":"UAS-based remote sensing of fluvial change following an extreme flood event","volume":"40","author":"Tamminga","year":"2015","journal-title":"Earth Surf. Process. Landforms"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"8586","DOI":"10.3390\/rs70708586","article-title":"Multitemporal Monitoring of the Morphodynamics of a Mid-Mountain Stream Using UAS Photogrammetry","volume":"7","author":"Langhammer","year":"2015","journal-title":"Remote Sens."},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Marteau, B., Vericat, D., Gibbins, C., Batalla, R.J., and Green, D.R. (2017). Application of Structure-from-Motion Photogrammetry to River Restoration. Earth Surface Processes and Landforms, John Wiley and Sons Ltd.","DOI":"10.1002\/esp.4086"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1016\/j.geomorph.2016.11.009","article-title":"An evaluation of the effectiveness of low-cost UAVs and structure from motion for geomorphic change detection","volume":"278","author":"Cook","year":"2017","journal-title":"Geomorphology"},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Langhammer, J., Lendzioch, T., Mi\u0159ijovsk\u00fd, J., and Hartvich, F. (2017). UAV-Based Optical Granulometry as Tool for Detecting Changes in Structure of Flood Depositions. Remote Sens., 9.","DOI":"10.3390\/rs9030240"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"1434","DOI":"10.1002\/esp.4139","article-title":"Subaerial gravel size measurement using topographic data derived from a UAV-SfM approach","volume":"42","author":"Woodget","year":"2017","journal-title":"Earth Surf. Process. Landforms"},{"key":"ref_50","doi-asserted-by":"crossref","unstructured":"Mlambo, R., Woodhouse, I.H., Gerard, F., and Anderson, K. (2017). Structure from motion (SfM) photogrammetry with drone data: A low cost method for monitoring greenhouse gas emissions from forests in developing countries. Forests, 8.","DOI":"10.3390\/f8030068"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1016\/j.rse.2017.04.007","article-title":"UAV LiDAR and hyperspectral fusion for forest monitoring in the southwestern USA","volume":"195","author":"Sankey","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"743","DOI":"10.1007\/s10346-016-0723-5","article-title":"The combined use of PSInSAR and UAV photogrammetry techniques for the analysis of the kinematics of a coastal landslide affecting an urban area (SE Spain)","volume":"14","author":"Mateos","year":"2017","journal-title":"Landslides"},{"key":"ref_53","first-page":"53","article-title":"Using an unmanned aerial vehicle (UAV) to capture micro-topography of antarctic moss beds","volume":"27","author":"Lucieer","year":"2014","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"1157","DOI":"10.3390\/rs2041157","article-title":"Remote sensing of vegetation structure using computer vision","volume":"2","author":"Dandois","year":"2010","journal-title":"Remote Sens."},{"key":"ref_55","unstructured":"Anastopoylos, I., and Kanaris, I. (1962). Psachna-Pilion Geological Map, 1:50.000 scale, Pilion Sheet, H.S.G.M.E."},{"key":"ref_56","unstructured":"Katsikatsos, G., Koukis, G., and Fytikas, M. (1968). Psachna-Pilion Geological Map, 1:50.000 scale, Pilion Sheet, H.S.G.M.E."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1071\/WF07049","article-title":"Fire intensity, fire severity and burn severity: A brief review and suggested usage","volume":"18","author":"Keeley","year":"2009","journal-title":"Int. J. Wildl. Fire"},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"7905","DOI":"10.1080\/01431161.2010.524678","article-title":"Detecting post-fire burn severity and vegetation recovery using multitemporal remote sensing spectral indices and field-collected composite burn index data in a ponderosa pine forest","volume":"32","author":"Chen","year":"2011","journal-title":"Int. J. Remote Sens."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"232","DOI":"10.1016\/j.apgeog.2014.11.016","article-title":"Exploring the relationships between post-fire vegetation regeneration dynamics, topography and burn severity: A case study from the Montane Cordillera Ecozones of Western Canada","volume":"56","author":"Ireland","year":"2015","journal-title":"Appl. Geogr."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1080\/15481603.2017.1354803","article-title":"Evaluating and comparing sentinel 2A and landsat-8 operational land imager (OLI) spectral indices for estimating fire severity in a mediterranean pine ecosystem of Greece","volume":"55","author":"Mallinis","year":"2018","journal-title":"GIScience Remote Sens."},{"key":"ref_61","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. Landforms"},{"key":"ref_62","unstructured":"Girardeau-Montaut, D., Marc, R., and Bey, A. (2020, October 10). Documentation CloudCompare Version 2.1.eng. Available online: https:\/\/www.danielgm.net\/cc\/doc\/qCC\/Documentation_CloudCompare_version_2_1_eng.pdf."},{"key":"ref_63","doi-asserted-by":"crossref","unstructured":"Zhang, W., Qi, J., Wan, P., Wang, H., Xie, D., Wang, X., and Yan, G. (2016). An Easy-to-Use Airborne LiDAR Data Filtering Method Based on Cloth Simulation. Remote Sens., 8.","DOI":"10.3390\/rs8060501"},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1016\/j.isprsjprs.2013.04.009","article-title":"Accurate 3D comparison of complex topography with terrestrial laser scanner: Application to the Rangitikei canyon (N-Z)","volume":"82","author":"Lague","year":"2013","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1002\/gdj3.44","article-title":"The automatic weather stations NOANN network of the National Observatory of Athens: Operation and database","volume":"4","author":"Lagouvardos","year":"2017","journal-title":"Geosci. Data J."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"1392","DOI":"10.3390\/rs4051392","article-title":"An automated technique for generating georectified mosaics from ultra-high resolution Unmanned Aerial Vehicle (UAV) imagery, based on Structure from Motion (SFM) point clouds","volume":"4","author":"Turner","year":"2012","journal-title":"Remote Sens."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"39","DOI":"10.5194\/isprs-archives-XLII-2-W17-39-2019","article-title":"The combination of terrestrial LiDAR and UAV photogrammetry for interactive architectural heritage visualization using unity 3D game engine","volume":"42","author":"Andaru","year":"2019","journal-title":"Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. ISPRS Arch."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"142","DOI":"10.1016\/j.isprsjprs.2007.07.008","article-title":"Deformation measurement using terrestrial laser scanning data and least squares 3D surface matching","volume":"63","author":"Monserrat","year":"2008","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"130","DOI":"10.1016\/j.geomorph.2014.10.039","article-title":"Ground-based multi-view photogrammetry for the monitoring of landslide deformation and erosion","volume":"231","author":"Stumpf","year":"2015","journal-title":"Geomorphology"},{"key":"ref_70","first-page":"117","article-title":"Monitoring of anthropogenic landslide activity with combined UAV and LiDAR-derived dems\u2014A case study of the czerwony w\u0105w\u00f3z landslide (SW Poland, western sudetes)","volume":"15","author":"Kowalski","year":"2018","journal-title":"Acta Geodyn. Geomater."},{"key":"ref_71","doi-asserted-by":"crossref","unstructured":"Cao, L., Liu, H., Fu, X., Zhang, Z., Shen, X., and Ruan, H. (2019). Comparison of UAV LiDAR and digital aerial photogrammetry point clouds for estimating forest structural attributes in subtropical planted forests. Forests, 10.","DOI":"10.3390\/f10020145"},{"key":"ref_72","doi-asserted-by":"crossref","unstructured":"Kociuba, W. (2020). Different Paths for Developing Terrestrial LiDAR Data for Comparative Analyses of Topographic Surface Changes. Appl. Sci., 10.","DOI":"10.3390\/app10217409"},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"1285","DOI":"10.1080\/19475705.2019.1571533","article-title":"Application of unmanned aircraft system (UAS) for monitoring bank erosion along river corridors","volume":"10","author":"Hamshaw","year":"2019","journal-title":"Geomat. Nat. Hazards Risk"},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"3390","DOI":"10.3390\/rs4113390","article-title":"Unmanned aerial vehicle (UAV) for monitoring soil erosion in Morocco","volume":"4","author":"Marzolff","year":"2012","journal-title":"Remote Sens."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"1573","DOI":"10.3390\/rs4061573","article-title":"Assessing the Accuracy of Georeferenced Point Clouds Produced via Multi-View Stereopsis from Unmanned Aerial Vehicle (UAV) Imagery","volume":"4","author":"Harwin","year":"2012","journal-title":"Remote Sens."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"398","DOI":"10.1016\/j.isprsjprs.2009.02.003","article-title":"Accuracy assessment of digital elevation models by means of robust statistical methods","volume":"64","year":"2009","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_77","doi-asserted-by":"crossref","unstructured":"Nesbit, P.R., and Hugenholtz, C.H. (2019). Enhancing UAV\u2013SfM 3D Model Accuracy in High-Relief Landscapes by Incorporating Oblique Images. Remote Sens., 11.","DOI":"10.3390\/rs11030239"}],"container-title":["ISPRS International Journal of Geo-Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2220-9964\/10\/6\/367\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T06:08:51Z","timestamp":1760162931000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2220-9964\/10\/6\/367"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,29]]},"references-count":77,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2021,6]]}},"alternative-id":["ijgi10060367"],"URL":"https:\/\/doi.org\/10.3390\/ijgi10060367","relation":{},"ISSN":["2220-9964"],"issn-type":[{"value":"2220-9964","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,5,29]]}}}