3D Reconstruction of Coastal Cliffs from Fixed-Wing and Multi-Rotor UAS: Impact of SfM-MVS Processing Parameters, Image Redundancy and Acquisition Geometry

Monitoring the dynamics of coastal cliffs is fundamental for the safety of communities, buildings, utilities, and infrastructures located near the coastline. Structure-from-Motion and Multi View Stereo (SfM-MVS) photogrammetry based on Unmanned Aerial Systems (UAS) is a flexible and cost-effective s...

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Published in:	Remote sensing (Basel, Switzerland) Vol. 13; no. 6; p. 1222
Main Authors:	Gonçalves, Gil, Gonçalves, Diogo, Gómez-Gutiérrez, Álvaro, Andriolo, Umberto, Pérez-Alvárez, Juan Antonio
Format:	Journal Article
Language:	English
Published:	MDPI AG 23.03.2021
Subjects:	3D data gaps cliffs coastal cliffs coasts cost effectiveness data collection drones flight geometry photogrammetry point cloud density SfM-MVS photogrammetry
ISSN:	2072-4292, 2072-4292
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Abstract	Monitoring the dynamics of coastal cliffs is fundamental for the safety of communities, buildings, utilities, and infrastructures located near the coastline. Structure-from-Motion and Multi View Stereo (SfM-MVS) photogrammetry based on Unmanned Aerial Systems (UAS) is a flexible and cost-effective surveying technique for generating a dense 3D point cloud of the whole cliff face (from bottom to top), with high spatial and temporal resolution. In this paper, in order to generate a reproducible, reliable, precise, accurate, and dense point cloud of the cliff face, a comprehensive analysis of the SfM-MVS processing parameters, image redundancy and acquisition geometry was performed. Using two different UAS, a fixed-wing and a multi-rotor, two flight missions were executed with the aim of reconstructing the geometry of an almost vertical cliff located at the central Portuguese coast. The results indicated that optimizing the processing parameters of Agisoft Metashape can improve the 3D accuracy of the point cloud up to 2 cm. Regarding the image acquisition geometry, the high off-nadir (90°) dataset taken by the multi-rotor generated a denser and more accurate point cloud, with lesser data gaps, than that generated by the low off-nadir dataset (3°) taken by the fixed wing. Yet, it was found that reducing properly the high overlap of the image dataset acquired by the multi-rotor drone permits to get an optimal image dataset, allowing to speed up the processing time without compromising the accuracy and density of the generated point cloud. The analysis and results presented in this paper improve the knowledge required for the 3D reconstruction of coastal cliffs by UAS, providing new insights into the technical aspects needed for optimizing the monitoring surveys.
AbstractList	Monitoring the dynamics of coastal cliffs is fundamental for the safety of communities, buildings, utilities, and infrastructures located near the coastline. Structure-from-Motion and Multi View Stereo (SfM-MVS) photogrammetry based on Unmanned Aerial Systems (UAS) is a flexible and cost-effective surveying technique for generating a dense 3D point cloud of the whole cliff face (from bottom to top), with high spatial and temporal resolution. In this paper, in order to generate a reproducible, reliable, precise, accurate, and dense point cloud of the cliff face, a comprehensive analysis of the SfM-MVS processing parameters, image redundancy and acquisition geometry was performed. Using two different UAS, a fixed-wing and a multi-rotor, two flight missions were executed with the aim of reconstructing the geometry of an almost vertical cliff located at the central Portuguese coast. The results indicated that optimizing the processing parameters of Agisoft Metashape can improve the 3D accuracy of the point cloud up to 2 cm. Regarding the image acquisition geometry, the high off-nadir (90°) dataset taken by the multi-rotor generated a denser and more accurate point cloud, with lesser data gaps, than that generated by the low off-nadir dataset (3°) taken by the fixed wing. Yet, it was found that reducing properly the high overlap of the image dataset acquired by the multi-rotor drone permits to get an optimal image dataset, allowing to speed up the processing time without compromising the accuracy and density of the generated point cloud. The analysis and results presented in this paper improve the knowledge required for the 3D reconstruction of coastal cliffs by UAS, providing new insights into the technical aspects needed for optimizing the monitoring surveys.
Author	Andriolo, Umberto Pérez-Alvárez, Juan Antonio Gonçalves, Gil Gonçalves, Diogo Gómez-Gutiérrez, Álvaro
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Cites_doi	10.1002/esp.4637 10.3390/rs10121952 10.3390/rs12081293 10.1111/phor.12218 10.1016/j.measurement.2019.02.024 10.3390/rs9121235 10.1080/01431161.2016.1219462 10.1177/0309133315615805 10.5194/isprsarchives-XL-3-W1-107-2014 10.1080/01431161.2018.1515508 10.1002/esp.4574 10.3390/rs12182873 10.3390/drones3010015 10.1016/j.rse.2015.01.034 10.3390/rs12172674 10.1002/esp.4878 10.1016/j.coastaleng.2018.04.008 10.1016/j.geomorph.2016.11.009 10.3390/rs12101656 10.1109/BGC.Geomatics.2016.20 10.1016/j.geomorph.2016.11.021 10.1016/j.geomorph.2012.08.021 10.5194/esurf-4-359-2016 10.1016/j.isprsjprs.2011.12.006 10.1007/s00371-016-1316-y 10.3390/drones2010003 10.1109/TPAMI.2003.1177156 10.5194/isprsannals-II-5-9-2014 10.1080/01431161.2018.1446568 10.1007/s00367-014-0380-4 10.1002/esp.4910 10.2112/JCOASTRES-D-16-00095.1 10.3390/drones4020009 10.3390/rs12193144 10.1080/22797254.2017.1313097 10.1023/B:VISI.0000029664.99615.94 10.3390/rs9020172 10.18637/jss.v031.i10 10.3390/d12040149 10.3390/rs70302302 10.1016/j.rse.2020.111666 10.3390/ijgi8050213 10.3390/rs12061001 10.1111/phor.12063
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References	Young (ref_2) 2019; 44 ref_11 Lowe (ref_41) 2004; 60 ref_52 Berens (ref_36) 2009; 31 ref_51 Rossi (ref_22) 2017; 50 Xiao (ref_17) 2012; 68 ref_18 ref_15 Maurer (ref_50) 2003; 25 Lim (ref_5) 2015; 163 ref_24 James (ref_33) 2017; 280 ref_23 Remondino (ref_42) 2014; 29 ref_21 ref_20 Rangel (ref_43) 2018; 39 ref_28 Tonini (ref_25) 2014; 8 Alsadik (ref_26) 2014; II-5 Westoby (ref_1) 2018; 138 Esposito (ref_6) 2017; 32 Rupnik (ref_16) 2014; 40 ref_35 ref_34 Warrick (ref_10) 2017; 33 ref_32 ref_31 James (ref_13) 2019; 44 Duarte (ref_37) 2018; 39 Meinen (ref_14) 2020; 239 Biggs (ref_19) 2020; 45 ref_39 Marovic (ref_9) 2014; 34 Guo (ref_27) 2018; 34 Smith (ref_12) 2016; 40 Cook (ref_29) 2017; 278 Jaud (ref_8) 2019; 139 Westoby (ref_38) 2012; 179 ref_47 ref_46 Letortu (ref_4) 2020; 84 ref_44 ref_3 (ref_7) 2020; 41 Yadav (ref_49) 2016; 37 James (ref_45) 2020; 45 Ai (ref_40) 2015; 7 ref_48 Eltner (ref_30) 2016; 4
References_xml	– volume: 44 start-page: 2081 year: 2019 ident: ref_13 article-title: Guidelines on the use of structure-from-motion photogrammetry in geomorphic research publication-title: Earth Surf. Process. Landf. doi: 10.1002/esp.4637 – ident: ref_32 – volume: 84 start-page: 101976 year: 2020 ident: ref_4 article-title: The potential of Pléiades images with high angle of incidence for reconstructing the coastal cliff face in Normandy (France) publication-title: Int. J. Appl. Earth Obs. Geoinf. – ident: ref_39 doi: 10.3390/rs10121952 – ident: ref_35 – volume: 41 start-page: 1 year: 2020 ident: ref_7 article-title: Surveying coastal cliffs using two UAV platforms (multirotor and fixed-wing) and three different approaches for the estimation of volumetric changes publication-title: Int. J. Remote Sens. – ident: ref_23 – ident: ref_20 doi: 10.3390/rs12081293 – volume: 32 start-page: 459 year: 2017 ident: ref_6 article-title: Multitemporal monitoring of a coastal landslide through SfM-derived point cloud comparison publication-title: Photogramm. Rec. doi: 10.1111/phor.12218 – volume: 139 start-page: 10 year: 2019 ident: ref_8 article-title: UAV survey of a coastal cliff face—Selection of the best imaging angle publication-title: Measurement doi: 10.1016/j.measurement.2019.02.024 – volume: 8 start-page: 95 year: 2014 ident: ref_25 article-title: Rockfall detection from terrestrial LiDAR point clouds: A clustering approach using R publication-title: J. Spat. Inf. Sci. – ident: ref_11 doi: 10.3390/rs9121235 – volume: 37 start-page: 4748 year: 2016 ident: ref_49 article-title: Identification of pole-like structures from mobile Lidar data of complex road environment publication-title: Int. J. Remote Sens. doi: 10.1080/01431161.2016.1219462 – volume: 40 start-page: 247 year: 2016 ident: ref_12 article-title: Structure from motion photogrammetry in physical geography publication-title: Prog. Phys. Geogr. Earth Environ. doi: 10.1177/0309133315615805 – volume: 40 start-page: 107 year: 2014 ident: ref_16 article-title: Oblique multi-camera systems—orientation and dense matching issues publication-title: ISPRS—Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. doi: 10.5194/isprsarchives-XL-3-W1-107-2014 – volume: 39 start-page: 7154 year: 2018 ident: ref_43 article-title: The impact of number and spatial distribution of GCPs on the positional accuracy of geospatial products derived from low-cost UASs publication-title: Int. J. Remote Sens. doi: 10.1080/01431161.2018.1515508 – volume: 44 start-page: 1309 year: 2019 ident: ref_2 article-title: Global distribution of coastal cliffs publication-title: Earth Surf. Process. Landf. doi: 10.1002/esp.4574 – ident: ref_24 doi: 10.3390/rs12182873 – ident: ref_21 doi: 10.3390/drones3010015 – volume: 163 start-page: 1 year: 2015 ident: ref_5 article-title: Quantification and implications of change in organic carbon bearing coastal dune cliffs: A multiscale analysis from the Northumberland coast, UK publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2015.01.034 – ident: ref_44 doi: 10.3390/rs12172674 – volume: 45 start-page: 2251 year: 2020 ident: ref_45 article-title: Mitigating systematic error in topographic models for geomorphic change detection: Accuracy, precision and considerations beyond off-nadir imagery publication-title: Earth Surf. Process. Landf. doi: 10.1002/esp.4878 – volume: 138 start-page: 152 year: 2018 ident: ref_1 article-title: Cost-effective erosion monitoring of coastal cliffs publication-title: Coast. Eng. doi: 10.1016/j.coastaleng.2018.04.008 – volume: 278 start-page: 195 year: 2017 ident: ref_29 article-title: An evaluation of the effectiveness of low-cost UAVs and structure from motion for geomorphic change detection publication-title: Geomorphology doi: 10.1016/j.geomorph.2016.11.009 – ident: ref_15 doi: 10.3390/rs12101656 – ident: ref_18 doi: 10.1109/BGC.Geomatics.2016.20 – volume: 280 start-page: 51 year: 2017 ident: ref_33 article-title: Optimising UAV topographic surveys processed with structure-from-motion: Ground control quality, quantity and bundle adjustment publication-title: Geomorphology doi: 10.1016/j.geomorph.2016.11.021 – ident: ref_34 – volume: 179 start-page: 300 year: 2012 ident: ref_38 article-title: ‘Structure-from-Motion’ photogrammetry: A low-cost, effective tool for geoscience applications publication-title: Geomorphology doi: 10.1016/j.geomorph.2012.08.021 – volume: 4 start-page: 359 year: 2016 ident: ref_30 article-title: Image-based surface reconstruction in geomorphometry—Merits, limits and developments publication-title: Earth Surf. Dyn. doi: 10.5194/esurf-4-359-2016 – volume: 68 start-page: 56 year: 2012 ident: ref_17 article-title: Building extraction from oblique airborne imagery based on robust façade detection publication-title: ISPRS J. Photogramm. Remote Sens. doi: 10.1016/j.isprsjprs.2011.12.006 – volume: 34 start-page: 93 year: 2018 ident: ref_27 article-title: A survey on algorithms of hole filling in 3D surface reconstruction publication-title: Vis. Comput. doi: 10.1007/s00371-016-1316-y – ident: ref_31 doi: 10.3390/drones2010003 – volume: 25 start-page: 265 year: 2003 ident: ref_50 article-title: A linear time algorithm for computing exact Euclidean distance transforms of binary images in arbitrary dimensions publication-title: IEEE Trans. Pattern Anal. Mach. Intell. doi: 10.1109/TPAMI.2003.1177156 – volume: II-5 start-page: 9 year: 2014 ident: ref_26 article-title: Visibility analysis of point cloud in close range photogrammetry publication-title: ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci. doi: 10.5194/isprsannals-II-5-9-2014 – volume: 39 start-page: 5059 year: 2018 ident: ref_37 article-title: Accuracy and effectiveness of low cost UASs and open source photogrammetric software for foredunes mapping publication-title: Int. J. Remote Sens. doi: 10.1080/01431161.2018.1446568 – volume: 34 start-page: 555 year: 2014 ident: ref_9 article-title: Coastal cliff geometry derived from structure-from-motion photogrammetry at Stara Baška, Krk Island, Croatia publication-title: Geo-Mar. Lett. doi: 10.1007/s00367-014-0380-4 – volume: 45 start-page: 2524 year: 2020 ident: ref_19 article-title: Using visibility analysis to improve point density and processing time of SfM-MVS techniques for 3D reconstruction of landforms publication-title: Earth Surf. Process. Landf. doi: 10.1002/esp.4910 – volume: 33 start-page: 39 year: 2017 ident: ref_10 article-title: New Techniques to Measure Cliff Change from Historical Oblique Aerial Photographs and Structure-from-Motion Photogrammetry publication-title: J. Coast. Res. doi: 10.2112/JCOASTRES-D-16-00095.1 – ident: ref_48 doi: 10.3390/drones4020009 – ident: ref_51 doi: 10.3390/rs12193144 – volume: 50 start-page: 211 year: 2017 ident: ref_22 article-title: Combining nadir and oblique UAV imagery to reconstruct quarry topography: Methodology and feasibility analysis publication-title: Eur. J. Remote Sens. doi: 10.1080/22797254.2017.1313097 – volume: 60 start-page: 91 year: 2004 ident: ref_41 article-title: Distinctive Image Features from Scale-Invariant Keypoints publication-title: Int. J. Comput. Vis. doi: 10.1023/B:VISI.0000029664.99615.94 – ident: ref_52 doi: 10.3390/rs9020172 – ident: ref_46 – volume: 31 start-page: 1 year: 2009 ident: ref_36 article-title: CircStat: AMATLABToolbox for Circular Statistics publication-title: J. Stat. Softw. doi: 10.18637/jss.v031.i10 – ident: ref_3 doi: 10.3390/d12040149 – volume: 7 start-page: 2302 year: 2015 ident: ref_40 article-title: A Robust Photogrammetric Processing Method of Low-Altitude UAV Images publication-title: Remote Sens. doi: 10.3390/rs70302302 – volume: 239 start-page: 111666 year: 2020 ident: ref_14 article-title: Mapping erosion and deposition in an agricultural landscape: Optimization of UAV image acquisition schemes for SfM-MVS publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2020.111666 – ident: ref_28 doi: 10.3390/ijgi8050213 – ident: ref_47 doi: 10.3390/rs12061001 – volume: 29 start-page: 144 year: 2014 ident: ref_42 article-title: State of the art in high density image matching publication-title: Photogramm. Rec. doi: 10.1111/phor.12063
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Title	3D Reconstruction of Coastal Cliffs from Fixed-Wing and Multi-Rotor UAS: Impact of SfM-MVS Processing Parameters, Image Redundancy and Acquisition Geometry
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