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The spatial and temporal variation of the ice thickness in seven cross sections was determined via Unmanned Aerial Vehicle Ground Penetrating Radar (UAV-GPR) technology and traditional borehole measurements. The plane morphology change of the open water was observed by Sentinel-2. The results show that the average dielectric permittivity of GPR was 3.231, 3.249, and 3.317 on three surveys (5 January 2022, 16 February 2022, and 25 February 2022) of the Yellow River ice growing period, respectively. The average ice thickness of the three surveys was 0.402 m, 0.509 m, and 0.633 m, respectively. The ice thickness of the concave bank was larger than that of the convex bank. The plane morphology of the open water first shrinks rapidly longitudinally and then shrinks slowly transversely. The vertical boundary of the open water was composed of two arcs, in which the slope of Arc I (close to the water surface) was steeper than that of Arc II, and the hazardous distance of the open-water boundary was 10.3 m. The increased flow mostly affected the slope change of Arc I. Finally, we discuss the variation of hummocky ice and flat ice in GPR images and the physical factors affecting GPR detection accuracy, as well as the ice-thickness variation of concave and convex banks in relation to channel curvature.<\/jats:p>","DOI":"10.3390\/rs15123180","type":"journal-article","created":{"date-parts":[[2023,6,20]],"date-time":"2023-06-20T01:59:30Z","timestamp":1687226370000},"page":"3180","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Morphology Dynamics of Ice Cover in a River Bend Revealed by the UAV-GPR and Sentinel-2"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9701-1392","authenticated-orcid":false,"given":"Chunjiang","family":"Li","sequence":"first","affiliation":[{"name":"State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116023, China"}]},{"given":"Zhijun","family":"Li","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116023, China"}]},{"given":"Wenfeng","family":"Huang","sequence":"additional","affiliation":[{"name":"School of Water and Environment, Chang \u2019an University, Xi\u2019an 710054, China"}]},{"given":"Baosen","family":"Zhang","sequence":"additional","affiliation":[{"name":"Yellow River Institute of Hydraulic Research, Yellow River Conservancy Commission, Zhengzhou 450003, China"},{"name":"Research Center on Levee Safety Disaster Prevention, Ministry of Water Resources, Zhengzhou 450003, China"}]},{"given":"Yu","family":"Deng","sequence":"additional","affiliation":[{"name":"Yellow River Institute of Hydraulic Research, Yellow River Conservancy Commission, Zhengzhou 450003, China"},{"name":"Research Center on Levee Safety Disaster Prevention, Ministry of Water Resources, Zhengzhou 450003, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4651-6251","authenticated-orcid":false,"given":"Guoyu","family":"Li","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Frozen Soil Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,6,19]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1016\/j.coldregions.2010.02.007","article-title":"Mathematical modeling of river ice processes","volume":"62","author":"Shen","year":"2010","journal-title":"Cold Reg. Sci. Technol."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"103279","DOI":"10.1016\/j.coldregions.2021.103279","article-title":"Climate change impacts on Peace River ice thickness and implications to ice-jam flooding of Peace-Athabasca Delta, Canada","volume":"186","author":"Beltaos","year":"2021","journal-title":"Cold Reg. Sci. Technol."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1054040","DOI":"10.3389\/feart.2022.1054040","article-title":"Accumulation and evolution of ice jams influenced by different ice discharge: An experimental analysis","volume":"10","author":"Chen","year":"2023","journal-title":"Front. Earth Sci."},{"key":"ref_4","first-page":"351","article-title":"Processes of river ice and ice-jam formation in Shisifenzi Bend of the Yellow River","volume":"48","author":"Zhao","year":"2017","journal-title":"J. Hydraul. Eng."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"543","DOI":"10.1080\/00221686.2021.2004254","article-title":"A numerical model for river ice dynamics based on discrete element method","volume":"60","author":"Zhai","year":"2022","journal-title":"J. Hydraul. Res."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1016\/S0169-555X(01)00076-9","article-title":"Ice jam-caused fluvial gullies and scour holes on northern river flood plains","volume":"42","author":"Smith","year":"2002","journal-title":"Geomorphology"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1002\/rrr.3450030109","article-title":"Framework for control of dynamic ice break-up by river regulation","volume":"3","author":"Ferrick","year":"1989","journal-title":"Regul. River"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"100","DOI":"10.1016\/j.coldregions.2006.08.009","article-title":"Neuro-fuzzy River ice breakup forecasting system","volume":"46","author":"Mahabir","year":"2006","journal-title":"Cold Reg. Sci. Technol."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1903","DOI":"10.1007\/s00477-022-02234-x","article-title":"A stochastic modelling approach to forecast real-time ice jam flood severity along the transborder (New Brunswick\/Maine) Saint John River of North America","volume":"36","author":"Das","year":"2022","journal-title":"Stoch. Environ. Res. Risk Assess."},{"key":"ref_10","first-page":"287","article-title":"Investigation of new technologies for in-situ ice thickness observation","volume":"20","author":"Lei","year":"2009","journal-title":"Adv. Water Sci."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1016\/j.coldregions.2010.05.005","article-title":"Sonar detection and measurements of ice in a freezing river I: Methods and data characteristics","volume":"63","author":"Marko","year":"2010","journal-title":"Cold Reg. Sci. Technol."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"103557","DOI":"10.1016\/j.coldregions.2022.103557","article-title":"A floating remote observation system (FROS) for full seasonal lake ice evolution studies","volume":"199","author":"Xie","year":"2022","journal-title":"Cold Reg. Sci. Technol."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Li, Z., Li, C., Yang, Y., Zhang, B., Deng, Y., and Li, G. (2023). Physical Mechanism and Parameterization for Correcting Radar Wave Velocity in Yellow River Ice with Air Temperature and Ice Thickness. Remote Sens., 15.","DOI":"10.3390\/rs15041121"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1016\/S0165-232X(99)00003-8","article-title":"On the use of electromagnetic induction sounding to determine winter and spring sea ice thickness in the Antarctic","volume":"29","author":"Worby","year":"1999","journal-title":"Cold Reg. Sci. Technol."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"3","DOI":"10.2205\/2021ES000767","article-title":"Measuring Sea ice thickness with the LOZA geo radar","volume":"21","author":"Morozov","year":"2021","journal-title":"Russ. J. Earth Sci."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"012026","DOI":"10.1088\/1755-1315\/660\/1\/012026","article-title":"A full-polarimetric GPR system and its application in ice crack detection","volume":"660","author":"Li","year":"2021","journal-title":"IOP Conf. Ser. Earth Environ. Sci."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Liu, J., Wang, S., He, Y., Li, Y., Wang, Y., Wei, Y., and Che, Y. (2020). Estimation of Ice Thickness and the Features of Subglacial Media Detected by Ground Penetrating Radar at the Baishui River Glacier No. 1 in Mt. Yulong, China. Remote Sens., 12.","DOI":"10.3390\/rs12244105"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Karu\u0161s, J., Lamsters, K., Je\u0161kins, J., Sobota, I., and D\u017eeri\u0146\u0161, P. (2022). UAV and GPR Data Integration in Glacier Geometry Reconstruction: A Case Study from Irenebreen, Svalbard. Remote Sens., 14.","DOI":"10.3390\/rs14030456"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1657\/1523-0430(2005)037[0157:AOIARC]2.0.CO;2","article-title":"Association of ice and river channel morphology determined using ground-penetrating radar in the kuparuk river, Alaska","volume":"37","author":"Best","year":"2005","journal-title":"Arct. Antarct. Alp. Res."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"103819","DOI":"10.1016\/j.coldregions.2023.103819","article-title":"An evaluation of GPR monitoring methods on varying river ice conditions: A case study in Alaska","volume":"210","author":"Richards","year":"2023","journal-title":"Cold Reg. Sci. Technol."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Han, H., Li, Y., Li, W., Liu, X., Wang, E., and Jiang, H. (2023). The influence of the internal properties of River Ice on Ground Penetrating Radar Propagation. Water, 15.","DOI":"10.3390\/w15050889"},{"key":"ref_22","unstructured":"Kovachis, N., Maxwell, J., and Hicks, F. (2009, January 15\u201317). Suitability of aerial GPR deployments for river ice thickness mapping. Proceedings of the 15th CRIPE Workshop on River Ice, St. John\u2019s, NL, Canada."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1016\/j.coldregions.2018.12.010","article-title":"Spatial variability of ice thickness on stormwater retention ponds","volume":"159","author":"Kemp","year":"2019","journal-title":"Cold Reg. Sci. Technol."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"330","DOI":"10.3189\/S0022143000008923","article-title":"Airborne river-ice thickness profiling with helicopter-borne UHF short-pulse radar","volume":"33","author":"Arcone","year":"1987","journal-title":"J. Glaciol."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"768","DOI":"10.1109\/36.83992","article-title":"Dielectric permittivity and layer-thickness interpretation of helicopter-borne short-pulse radar waveforms reflected from wet and dry river-ice sheets","volume":"29","author":"Arcone","year":"1991","journal-title":"IEEE Geosci. Remote"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"244","DOI":"10.14430\/arctic1618","article-title":"Winter Short-Pulse Radar Studies on the Tanana River, Alaska","volume":"43","author":"Delaney","year":"1990","journal-title":"Arctic"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1007\/s11770-010-0234-4","article-title":"Influences of gas bubble and ice density on ice thickness measurement by GPR","volume":"7","author":"Li","year":"2010","journal-title":"Appl. Geophys."},{"key":"ref_28","first-page":"820","article-title":"Measurement of dielectric permittivity and thickness of snow and ice on a Brackish Lagoon using GPR","volume":"7","author":"Liu","year":"2014","journal-title":"IEEE J.-STARS."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1016\/j.coldregions.2017.01.009","article-title":"Spatial variation of river-ice thickness in a meandering river","volume":"137","author":"Alho","year":"2017","journal-title":"Cold Reg. Sci. Technol."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1016\/j.coldregions.2018.06.017","article-title":"Double-frequency ground penetrating radar for measurement of ice thickness and water depth in rivers and canals: Development, verification, and application","volume":"154","author":"Fu","year":"2018","journal-title":"Cold Reg. Sci. Technol."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"128700","DOI":"10.1016\/j.jhydrol.2022.128700","article-title":"Dielectric constant of ice in Natural Rivers","volume":"615","author":"Fu","year":"2022","journal-title":"J. Hydrol."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Bai, X., Wang, L., Luo, X., Mi, H., Chen, H., Liu, L., Ji, M., and Gao, Y. (2020, January 23\u201325). A layer tracking method for ice thickness detection based on GPR mounted on the UAV. Proceedings of the 4th International Conference on Imaging, Signal Processing and Communications (ICISPC), Kumamoto, Japan.","DOI":"10.1109\/ICISPC51671.2020.00012"},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Deng, Y., Li, C., Li, Z., and Zhang, B. (2021). Dynamic and full-time acquisition technology and method of ice data of Yellow River. Sensors, 22.","DOI":"10.3390\/s22010176"},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Wei, Q., Yao, X., Zhang, H., Duan, H., Jin, H., Chen, J., and Cao, J. (2022). Analysis of the variability and influencing factors of ice thickness during the ablation period in Qinghai Lake using the GPR ice monitoring system. Remote Sens., 14.","DOI":"10.3390\/rs14102437"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"310","DOI":"10.1016\/j.rse.2016.01.004","article-title":"Spatial and temporal patterns in Arctic River ice breakup revealed by automated ice detection from MODIS imagery","volume":"175","author":"Cooley","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Zhang, X., Jin, J., Lan, Z., Li, C., Fan, M., Wang, Y., Yu, X., and Zhang, Y. (2020). ICENET: A Semantic Segmentation Deep Network for River Ice by Fusing Positional and Channel-Wise Attentive Features. Remote Sens., 12.","DOI":"10.3390\/rs12020221"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"28989","DOI":"10.1007\/s11042-021-11054-0","article-title":"River ice monitoring and change detection with multi-spectral and SAR images: Application over yellow river","volume":"80","author":"Zhang","year":"2021","journal-title":"Multimed. Tools Appl."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"111915","DOI":"10.1016\/j.rse.2020.111915","article-title":"Monitoring high-altitude river ice distribution at the basin scale in the northeastern Tibetan Plateau from a Landsat time-series spanning 1999\u20132018","volume":"247","author":"Li","year":"2020","journal-title":"Remote Sens. Environ."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"129285","DOI":"10.1016\/j.jhydrol.2023.129285","article-title":"Revealing the river ice phenology on the Tibetan Plateau using Sentinel-2 and Landsat 8 overlapping orbit imagery","volume":"619","author":"Li","year":"2023","journal-title":"J. Hydrol."},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Zhang, F., Mosaffa, M., Chu, T., and Lindenschmidt, K.-E. (2017). Using remote sensing data to parameterize ice jam modeling for a northern inland delta. Water, 9.","DOI":"10.3390\/w9050306"},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Palomaki, R.T., and Sproles, E.A. (2022). Quantifying the Effect of River Ice Surface Roughness on Sentinel-1 SAR Backscatter. Remote Sens., 14.","DOI":"10.3390\/rs14225644"},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Mermoz, S., Allain, S., Bernier, M., Pottier, E., Sanden, J.V.D., and Chokmani, K. (2012, January 22\u201327). Retrieval of river ice thickness from C-band PolSAR data. Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, Munich, Germany.","DOI":"10.1109\/IGARSS.2012.6350734"},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Zhang, H., Li, H., and Li, H. (2022). Monitoring the Ice Thickness in High-Order Rivers on the Tibetan Plateau with Dual-Polarized C-Band Synthetic Aperture Radar. Remote Sens., 14.","DOI":"10.3390\/rs14112591"},{"key":"ref_44","first-page":"1089","article-title":"Study on the characteristics of flow and ice jam in Shisifenzi bend in the Yellow River during the freeze-up period","volume":"51","author":"Luo","year":"2020","journal-title":"J. Hydraul. Eng."},{"key":"ref_45","first-page":"428","article-title":"Calculating River ice thickness from Harbin to Tongjiang using short-term hydrological and meteorological data","volume":"20","author":"Li","year":"2009","journal-title":"Adv. Water Sci."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"e2019JF005333","DOI":"10.1029\/2019JF005333","article-title":"Seismic monitoring of a subarctic river: Seasonal variations in hydraulics, sediment transport, and ice dynamics","volume":"125","author":"Polvi","year":"2020","journal-title":"J. Geophys. Res. Earth Surf."},{"key":"ref_47","first-page":"44","article-title":"Application of airborne radar in ice thickness measurement during stable freezing period of Yellow River","volume":"40","author":"Luo","year":"2020","journal-title":"Adv. Sci. Technol. Water Resour."},{"key":"ref_48","first-page":"121","article-title":"Field experimental study of the characteristics of GPR images of Yellow River ice","volume":"15","author":"Zhang","year":"2017","journal-title":"South North Water Transf. Water Sci. Technol."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/12\/3180\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T19:56:18Z","timestamp":1760126178000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/12\/3180"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,19]]},"references-count":48,"journal-issue":{"issue":"12","published-online":{"date-parts":[[2023,6]]}},"alternative-id":["rs15123180"],"URL":"https:\/\/doi.org\/10.3390\/rs15123180","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,6,19]]}}}