{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T18:32:23Z","timestamp":1770834743573,"version":"3.50.1"},"reference-count":59,"publisher":"MDPI AG","issue":"21","license":[{"start":{"date-parts":[[2022,10,26]],"date-time":"2022-10-26T00:00:00Z","timestamp":1666742400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Second Tibetan Plateau Scientific Expedition and Research Program (STEP)","award":["2019QZKK0903"],"award-info":[{"award-number":["2019QZKK0903"]}]},{"name":"Second Tibetan Plateau Scientific Expedition and Research Program (STEP)","award":["52009062"],"award-info":[{"award-number":["52009062"]}]},{"name":"Second Tibetan Plateau Scientific Expedition and Research Program (STEP)","award":["52009061"],"award-info":[{"award-number":["52009061"]}]},{"name":"Second Tibetan Plateau Scientific Expedition and Research Program (STEP)","award":["42077238"],"award-info":[{"award-number":["42077238"]}]},{"name":"Second Tibetan Plateau Scientific Expedition and Research Program (STEP)","award":["SKHL2115"],"award-info":[{"award-number":["SKHL2115"]}]},{"name":"National Natural Scientific Foundation of China","award":["2019QZKK0903"],"award-info":[{"award-number":["2019QZKK0903"]}]},{"name":"National Natural Scientific Foundation of China","award":["52009062"],"award-info":[{"award-number":["52009062"]}]},{"name":"National Natural Scientific Foundation of China","award":["52009061"],"award-info":[{"award-number":["52009061"]}]},{"name":"National Natural Scientific Foundation of China","award":["42077238"],"award-info":[{"award-number":["42077238"]}]},{"name":"National Natural Scientific Foundation of China","award":["SKHL2115"],"award-info":[{"award-number":["SKHL2115"]}]},{"name":"Open Research Fund Program of State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University","award":["2019QZKK0903"],"award-info":[{"award-number":["2019QZKK0903"]}]},{"name":"Open Research Fund Program of State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University","award":["52009062"],"award-info":[{"award-number":["52009062"]}]},{"name":"Open Research Fund Program of State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University","award":["52009061"],"award-info":[{"award-number":["52009061"]}]},{"name":"Open Research Fund Program of State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University","award":["42077238"],"award-info":[{"award-number":["42077238"]}]},{"name":"Open Research Fund Program of State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University","award":["SKHL2115"],"award-info":[{"award-number":["SKHL2115"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Structure-from-Motion (SfM) photogrammetry has become a popular solution for three-dimensional topographic data collection in geosciences and can be used for measuring submerged bed surfaces in shallow and clear water systems. However, the performance of through-water SfM photogrammetry has not been fully evaluated for gravel-bed surfaces, which limits its application to the morphodynamics of gravel-bed rivers in both field investigations and flume experiments. In order to evaluate the influence of bed texture, flow rate, ground control point (GCP) layout, and refraction correction (RC) on the measurement quality of through-water SfM photogrammetry, we conducted a series of experiments in a 70 m-long and 7 m-wide flume with a straight artificial channel. Bed surfaces with strongly contrasting textures in two 4 m-long reaches were measured under five constant flow regimes with three GCP layouts, including both dry and underwater GCPs. All the submerged surface models with\/without RC were compared with the corresponding dry bed surfaces to quantify their elevation errors. The results illustrated that the poorly sorted gravel-bed led to the better performance of through-water SfM photogrammetry than the bed covered by fine sand. Fine sediment transport caused significant elevation errors, while the static sand dunes and grain clusters did not lead to noticeable errors in the corrected models with dry GCPs. The elevation errors of the submerged models linearly increased with water depth for all the tested conditions of bed textures, GCP layouts, and discharges in the uncorrected models, but the slopes of the increasing relations varied with texture. The use of underwater GCPs made significant improvements to the performance of direct through-water SfM photogrammetry, but counteracted with RC. The corrected models with dry GCPs outperformed the uncorrected ones with underwater GCPs, which could still be used to correct the underestimation in surface elevation caused by RC. Based on the new findings, recommendations for through-water SfM photogrammetry in measuring submerged gravel-bed surfaces were provided.<\/jats:p>","DOI":"10.3390\/rs14215351","type":"journal-article","created":{"date-parts":[[2022,10,26]],"date-time":"2022-10-26T07:17:48Z","timestamp":1666768668000},"page":"5351","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Assessing Through-Water Structure-from-Motion Photogrammetry in Gravel-Bed Rivers under Controlled Conditions"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8918-1503","authenticated-orcid":false,"given":"Chendi","family":"Zhang","sequence":"first","affiliation":[{"name":"Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China"},{"name":"State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China"},{"name":"State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9248-4801","authenticated-orcid":false,"given":"Ao\u2019ran","family":"Sun","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6856-5989","authenticated-orcid":false,"given":"Marwan A.","family":"Hassan","sequence":"additional","affiliation":[{"name":"Department of Geography, University of British Columbia, Vancouver, BC V6T 1Z2, Canada"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6474-2826","authenticated-orcid":false,"given":"Chao","family":"Qin","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,10,26]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Aberle, J., and Nikora, V. (2006). Statistical Properties of Armored Gravel Bed Surfaces. Water Resour. Res., 42.","DOI":"10.1029\/2005WR004674"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1199","DOI":"10.1002\/esp.1991","article-title":"Geostatistical Estimations of Bathymetric LiDAR Errors on Rivers","volume":"35","author":"Bailly","year":"2010","journal-title":"Earth Surf. Proc. Landf."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1321","DOI":"10.1002\/esp.2156","article-title":"Grain Size and Topographical Differences between Static and Mobile Armour Layers","volume":"36","author":"Mao","year":"2011","journal-title":"Earth Surf. Proc. Landf."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"756","DOI":"10.1002\/esp.4750","article-title":"Response of A Gravel\u2014Bed River to Dam Closure: Insights from Sediment Transport Processes and Channel Morphodynamics","volume":"45","author":"Brenna","year":"2020","journal-title":"Earth Surf. Proc. Landf."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"913","DOI":"10.5194\/esurf-8-913-2020","article-title":"Characterization of Morphological Units in a Small, Forested Stream Using Close-Range Remotely Piloted Aircraft Imagery","volume":"8","author":"Helm","year":"2020","journal-title":"Earth Surf. Dynam."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"596","DOI":"10.1130\/0016-7606(1997)109<0596:CRMIMD>2.3.CO;2","article-title":"Channel-Reach Morphology in Mountain Drainage Basins","volume":"109","author":"Montgomery","year":"1997","journal-title":"Geol. Soc. Am. Bull."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"1885","DOI":"10.1029\/2000WR900055","article-title":"Experiments on Surface Structure and Partial Sediment Transport on a Gravel Bed","volume":"36","author":"Hassan","year":"2000","journal-title":"Water Resour. Res."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"554","DOI":"10.1061\/(ASCE)0733-9429(2004)130:6(554)","article-title":"Microforms in Gravel Bed Rivers: Formation, Disintegration, and Effects on Bedload Transport","volume":"130","author":"Strom","year":"2004","journal-title":"J. Hydraul. Eng."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1061\/(ASCE)HY.1943-7900.0000810","article-title":"Effect of Bed Sand Content on the Turbulent Flows Associated with Clusters on an Armored Gravel Bed Surface","volume":"140","author":"Curran","year":"2014","journal-title":"J. Hydraul. Eng."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"948","DOI":"10.1002\/esp.4788","article-title":"Co-Evolution of Coarse Grain Structuring and Bed Roughness in Response to Episodic Sediment Supply in an Experimental Aggrading Channel","volume":"45","author":"Hassan","year":"2020","journal-title":"Earth Surf. Proc. Landf."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Hassan, M.A., Saletti, M., Johnson, J.P.L., Ferrer-Boix, C., Venditti, J.G., and Church, M. (2020). Experimental Insights into the Threshold of Motion in Alluvial Channels: Sediment Supply and Streambed State. J. Geophys. Res.-Earth, 125.","DOI":"10.1029\/2020JF005736"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"5974","DOI":"10.1002\/2014WR016874","article-title":"The Science and Practice of River Restoration","volume":"51","author":"Wohl","year":"2015","journal-title":"Water Resour. Res."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"345","DOI":"10.1177\/0309133317714972","article-title":"Connectivity in Rivers","volume":"41","author":"Wohl","year":"2017","journal-title":"Prog. Phys. Geog."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"866","DOI":"10.1126\/science.aat8455","article-title":"Trout in Hot Water: A Call for Global Action","volume":"360","author":"Muhlfeld","year":"2018","journal-title":"Science"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Wang, J., Hassan, M.A., Saletti, M., Chen, X., Fu, X., Zhou, H., and Yang, X. (2021). On How Episodic Sediment Supply Influences the Evolution of Channel Morphology, Bedload Transport and Channel Stability in an Experimental Step-Pool Channel. Water Resour. Res., 57.","DOI":"10.1029\/2020WR029133"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"938","DOI":"10.1029\/2018JF004716","article-title":"Field and Numerical Investigation of Transport Mechanisms in a Surface Storage Zone","volume":"124","author":"Sandoval","year":"2019","journal-title":"J. Geophys. Res.-Earth"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1973","DOI":"10.1002\/esp.4624","article-title":"Quantifying Flow Resistance in Mountain Streams Using Computational Fluid Dynamics Modeling over Structure-from-Motion Photogrammetry-Derived Microtopography","volume":"44","author":"Chen","year":"2019","journal-title":"Earth Surf. Proc. Landf."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"2917","DOI":"10.5194\/gmd-15-2917-2022","article-title":"Modeling of Streamflow in a 30 Km Long Reach Spanning 5 Years Using OpenFOAM 5.x","volume":"15","author":"Chen","year":"2022","journal-title":"Geosci. Model Dev."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Zhang, C., Xu, Y., Hassan, M.A., Xu, M., and He, P. (2022). Hybrid Modeling on 3D Hydraulic Features of a Step-Pool Unit. Earth Surf. Dynam., preprint.","DOI":"10.5194\/esurf-2022-5"},{"key":"ref_20","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_21","doi-asserted-by":"crossref","first-page":"359","DOI":"10.5194\/esurf-4-359-2016","article-title":"Image-Based Surface Reconstruction in Geomorphometry\u2014Merits, Limits and Developments","volume":"4","author":"Eltner","year":"2016","journal-title":"Earth Surf. Dynam."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"97","DOI":"10.5194\/esurf-7-97-2019","article-title":"Short Communication: Challenges and Applications of Structure-from-Motion Photogrammetry in a Physical Model of a Braided River","volume":"7","author":"Leduc","year":"2019","journal-title":"Earth Surf. Dynam."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Tmu\u0161i\u0107, G., Manfreda, S., Aasen, H., James, M.R., Gon\u00e7alves, G., Ben-Dor, E., Brook, A., Polinova, M., Arranz, J.J., and M\u00e9sz\u00e1ros, J. (2020). Current Practices in UAS-Based Environmental Monitoring. Remote Sens., 12.","DOI":"10.3390\/rs12061001"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"166","DOI":"10.1016\/j.geomorph.2014.01.006","article-title":"Modeling the Topography of Shallow Braided Rivers Using Structure-from-Motion Photogrammetry","volume":"213","author":"Javernick","year":"2014","journal-title":"Geomorphology"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1016\/j.geomorph.2016.10.021","article-title":"Application of Structure-from-Motion Photogrammetry in Laboratory Flumes","volume":"276","author":"Morgan","year":"2017","journal-title":"Geomorphology"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"45","DOI":"10.5194\/esurf-7-45-2019","article-title":"A Method Based on Structure-from-Motion Photogrammetry to Generate Sub-Millimetre-Resolution Digital Elevation Models for Investigating Rock Breakdown Features","volume":"7","author":"Verma","year":"2019","journal-title":"Earth Surf. Dynam."},{"key":"ref_27","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. Vision"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"2081","DOI":"10.1002\/esp.4637","article-title":"Guidelines on the Use of Structure-from-Motion Photogrammetry in Geomorphic Research","volume":"44","author":"James","year":"2019","journal-title":"Earth Surf. Proc. Landf."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"632","DOI":"10.1007\/s12665-018-7817-4","article-title":"Monitoring Topographic Changes through 4D-Structure-from-Motion Photogrammetry: Application to a Debris-Flow Channel. Environ","volume":"77","author":"Cucchiaro","year":"2018","journal-title":"Earth Sci."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1016\/j.geomorph.2018.03.023","article-title":"Experimental Study on the Stability and Failure of Individual Step-Pool","volume":"311","author":"Zhang","year":"2018","journal-title":"Geomorphology"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"280","DOI":"10.1002\/esp.4722","article-title":"Experiment on Morphological and Hydraulic Adjustments of Step-Pool Unit to Flow Increase","volume":"45","author":"Zhang","year":"2019","journal-title":"Earth Surf. Proc. Landf."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Ravazzolo, D., Spreitzer, G., Friedrich, H., and Tunnicliffe, J. (2020, January 6\u201317). Flume Experiments on the Geomorphic Effects of Large Wood in Gravel-Bed Rivers. Proceedings of the River Flow 2020, International Conference on Fluvial Hydraulics 2020, Online.","DOI":"10.1201\/b22619-225"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"4164","DOI":"10.1029\/2017WR021314","article-title":"Reconstructing Depth-Averaged Open-Channel Flows Using Image Velocimetry and Photogrammetry","volume":"54","author":"Piton","year":"2018","journal-title":"Water Resour. Res."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1002\/esp.3613","article-title":"Quantifying Submerged Fluvial Topography Using Hyperspatial Resolution UAS Imagery and Structure from Motion Photogrammetry","volume":"40","author":"Woodget","year":"2014","journal-title":"Earth Surf. Proc. Landf."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"van Scheltinga, R.C.T., Coco, G., Kleinhans, M.G., and Friedrich, H. (2020). Observations of Dune Interactions from DEMs Using Through-Water Structure from Motion. Geomorphology, 359.","DOI":"10.1016\/j.geomorph.2020.107126"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"835","DOI":"10.1007\/s00338-021-02088-9","article-title":"Structure-from-Motion on Shallow Reefs and Beaches: Potential and Limitations of Consumer-Grade Drones to Reconstruct Topography and Bathymetry","volume":"40","author":"David","year":"2021","journal-title":"Coral Reefs"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"971","DOI":"10.1002\/esp.2015","article-title":"Quantification of Braided River Channel Change Using Archival Digital Image Analysis","volume":"35","author":"Lane","year":"2010","journal-title":"Earth Surf. Proc. Landf."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"355","DOI":"10.1002\/esp.4060","article-title":"Bathymetric Structure-from-Motion: Extracting Shallow Stream Bathymetry from Multi-View Stereo Photogrammetry","volume":"42","author":"Dietrich","year":"2016","journal-title":"Earth Surf. Proc. Landf."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"2883","DOI":"10.1080\/01431161.2017.1280636","article-title":"Comparing Remote-Sensing Techniques Collecting Bathymetric Data from a Gravel-Bed River","volume":"38","author":"Shintani","year":"2017","journal-title":"Int. J. Remote Sens."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1016\/j.geomorph.2019.01.015","article-title":"The 2015 Chileno Valley Glacial Lake Outburst Flood, Patagonia","volume":"332","author":"Wilson","year":"2019","journal-title":"Geomorphology"},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Agrafiotis, P., Karantzalos, K., Georgopoulos, A., and Skarlatos, D. (2020). Correcting Image Refraction: Towards Accurate Aerial Image-Based Bathymetry Mapping in Shallow Waters. Remote Sens., 12.","DOI":"10.3390\/rs12020322"},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Georgopoulos, A., and Agrafiotis, P. (2012, January 2\u20135). Documentation of a Submerged Monument Using Improved Two Media Techniques. Proceedings of the 2012 IEEE 18th International Conference on Virtual Systems and Multimedia, Milan, Italy.","DOI":"10.1109\/VSMM.2012.6365922"},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Skarlatos, D., and Agrafiotis, P. (2018). A Novel Iterative Water Refraction Correction Algorithm for Use in Structure from Motion Photogrammetric Pipeline. J. Mar. Sci. Eng., 6.","DOI":"10.3390\/jmse6030077"},{"key":"ref_44","first-page":"445","article-title":"Through-Water Dense Image Matching for Shallow Water Bathymetry. Photogramm","volume":"85","author":"Mandlburger","year":"2019","journal-title":"Eng. Remote Sens."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1038\/340215a0","article-title":"Sediment Supply and the Development of the Coarse Surface Layer in Gravel-Bedded Rivers","volume":"340","author":"Dietrich","year":"1989","journal-title":"Nature"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"1678","DOI":"10.1002\/esp.1639","article-title":"Bed Morphology and Generation of Step-Pool Channels","volume":"33","author":"Weichert","year":"2008","journal-title":"Earth Surf. Proc. Landf."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1017\/S0022112003006396","article-title":"Size, Shape and Dynamics of Large-Scale Turbulent Flow Structures in a Gravel-Bed River","volume":"500","author":"Roy","year":"2004","journal-title":"J. Fluid Mech."},{"key":"ref_48","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_49","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 On-Board RTK Positioning. Remote Sens., 10.","DOI":"10.3390\/rs10020311"},{"key":"ref_50","doi-asserted-by":"crossref","unstructured":"Manfreda, S., Dvorak, P., Mullerova, J., Herban, S., Vuono, P., Justel, J.A., 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_51","unstructured":"Chen, Y. (2015). Study of the Resistance Structure of Gravel Bed in Wide Shallow Channel. [Master\u2019s Thesis, Tsinghua University]. (In Chinese with English abstract)."},{"key":"ref_52","unstructured":"Detert, M., and Weitbrecht, V. (2012, January 5\u20137). Automatic Object Detection to Analyze the Geometry of Gravel Grains\u2014A Free Stand-Alone Tool. Proceedings of the River Flow 2012, International Conference on Fluvial Hydraulics 2012, San Jos\u00e9, CA, USA."},{"key":"ref_53","first-page":"44","article-title":"Application study on the automated grain sizing based on BASEGRAIN software","volume":"45","author":"Huang","year":"2020","journal-title":"J. Sediment Res."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"2251","DOI":"10.1002\/esp.4878","article-title":"Mitigating Systematic Error in Topographic Models for Geomorphic Change Detection: Accuracy, Precision and Considerations beyond off-Nadir Imagery","volume":"45","author":"James","year":"2020","journal-title":"Earth Surf. Proc. Landf."},{"key":"ref_55","unstructured":"Dietrich, J.T. (2020, June 03). Py\\_sfm\\_depth Homepage. Available online: https:\/\/www.geojames.github.io\/py_sfm_depth."},{"key":"ref_56","doi-asserted-by":"crossref","unstructured":"Wang, H., Zhong, Q., Wang, X., and Li, D. (2017). Quantitative Characterization of Streaky Structures in Open-Channel Flows. J. Hydraul. Eng., 143.","DOI":"10.1061\/(ASCE)HY.1943-7900.0001353"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"2780","DOI":"10.1080\/01431161.2017.1294782","article-title":"Proof-of-Concept for Low-Cost and Non-Contact Synoptic Airborne River Flow Measurements","volume":"38","author":"Detert","year":"2017","journal-title":"Int. J. Remote Sens."},{"key":"ref_58","doi-asserted-by":"crossref","unstructured":"Nesbit, P., and Hugenholtz, C. (2019). Enhancing UAV\u2013SfM 3D Model Accuracy in High-Relief Landscapes by Incorporating Oblique Images. Remote Sens., 11.","DOI":"10.3390\/rs11030239"},{"key":"ref_59","unstructured":"Coastal Research Library, McCarthy, J., Benjamin, J., Winton, T., and van Duivenvoorde, W. (2019). Camera Calibration Techniques for Accurate Measurement Underwater. 3D Recording and Interpretation for Maritime Archaeology, Springer."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/21\/5351\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T01:02:50Z","timestamp":1760144570000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/21\/5351"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,26]]},"references-count":59,"journal-issue":{"issue":"21","published-online":{"date-parts":[[2022,11]]}},"alternative-id":["rs14215351"],"URL":"https:\/\/doi.org\/10.3390\/rs14215351","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,10,26]]}}}