{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T09:25:59Z","timestamp":1773912359273,"version":"3.50.1"},"reference-count":52,"publisher":"MDPI AG","issue":"16","license":[{"start":{"date-parts":[[2024,8,10]],"date-time":"2024-08-10T00:00:00Z","timestamp":1723248000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"key project of National Natural Science Foundation, China","doi-asserted-by":"publisher","award":["42130405"],"award-info":[{"award-number":["42130405"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"key project of National Natural Science Foundation, China","doi-asserted-by":"publisher","award":["R2020SC04"],"award-info":[{"award-number":["R2020SC04"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"the Innovative and Entrepreneurial Talent Program of Jiangsu Province, China","award":["42130405"],"award-info":[{"award-number":["42130405"]}]},{"name":"the Innovative and Entrepreneurial Talent Program of Jiangsu Province, China","award":["R2020SC04"],"award-info":[{"award-number":["R2020SC04"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The recurring occurrence of green tides as an ecological disaster has been reported annually in the Yellow Sea. While remote sensing technology effectively tracks the scale, extent, and duration of green tide outbreaks, there is limited research on the underlying driving mechanisms of green tide drift transport and the determination of the leeway coefficient. This study investigates the green tide transport mechanism and evaluates the feasibility of estimating the leeway coefficient by analyzing green tide drift velocities obtained from Geostationary Ocean Color Imager-II (GOCI-II) images using the maximum cross-correlation (MCC) technique and leeway method across various time intervals alongside ocean current and wind speed data. The results reveal the following: (1) Significant spatial variations in green tide movement, with a distinct boundary at 34\u00b040\u2032N. (2) Short-term green tide transport is primarily influenced by tidal forces, while wind and ocean currents, especially the combined Ekman and geostrophic current component, predominantly govern net transport. (3) Compared to 1, 3, and 7 h intervals, estimating the leeway coefficient with a 25 h interval is feasible for moderate-resolution geostationary images, yielding values consistent with previous studies. This study offers new insights into exploring the transport mechanisms of green tides through remote sensing-driven velocity.<\/jats:p>","DOI":"10.3390\/rs16162934","type":"journal-article","created":{"date-parts":[[2024,8,12]],"date-time":"2024-08-12T08:54:08Z","timestamp":1723452848000},"page":"2934","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Exploring the Green Tide Transport Mechanisms and Evaluating Leeway Coefficient Estimation via Moderate-Resolution Geostationary Images"],"prefix":"10.3390","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2305-1751","authenticated-orcid":false,"given":"Menghao","family":"Ji","sequence":"first","affiliation":[{"name":"School of Geographical Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China"}]},{"given":"Xin","family":"Dou","sequence":"additional","affiliation":[{"name":"School of Geographical Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China"}]},{"given":"Chengyi","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Geographical Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2748-3455","authenticated-orcid":false,"given":"Jianting","family":"Zhu","sequence":"additional","affiliation":[{"name":"Department of Civil and Architectural Engineering and Construction Management, University of Wyoming, Laramie, WY 82071, USA"}]}],"member":"1968","published-online":{"date-parts":[[2024,8,10]]},"reference":[{"key":"ref_1","first-page":"103173","article-title":"Mapping Ulva prolifera green tides from space: A revisit on algorithm design and data products","volume":"116","author":"Hu","year":"2023","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1016\/j.ecss.2013.05.021","article-title":"The world\u2019s largest macroalgal bloom in the Yellow Sea, China: Formation and implications","volume":"129","author":"Liu","year":"2013","journal-title":"Estuar. Coast. Shelf Sci."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"825","DOI":"10.1093\/nsr\/nwz026","article-title":"Ulva prolifera green-tide outbreaks and their environmental impact in the Yellow Sea, China","volume":"6","author":"Zhang","year":"2019","journal-title":"Natl. Sci. Rev."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"164","DOI":"10.1016\/j.hal.2017.02.006","article-title":"Spatiotemporal variations of inorganic nutrients along the Jiangsu coast, China, and the occurrence of macroalgal blooms (green tides) in the southern Yellow Sea","volume":"63","author":"Li","year":"2017","journal-title":"Harmful Algae"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1007\/s11069-015-1694-x","article-title":"Interpreting the progressive eutrophication behind the world\u2019s largest macroalgal blooms with water quality and ocean color data","volume":"78","author":"Xing","year":"2015","journal-title":"Nat. Hazards"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"113772","DOI":"10.1016\/j.marpolbul.2022.113772","article-title":"A review of physical, chemical, and biological green tide prevention methods in the Southern Yellow Sea","volume":"180","author":"Xia","year":"2022","journal-title":"Mar. Pollut. Bull."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"114789","DOI":"10.1016\/j.marpolbul.2023.114789","article-title":"The drifting and spreading mechanism of floating Ulva mass in the waterways of Subei shoal, the Yellow Sea of China\u2013Application for abating the world\u2019s largest green tides","volume":"190","author":"Wang","year":"2023","journal-title":"Mar. Pollut. Bull."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"106943","DOI":"10.1016\/j.ecss.2020.106943","article-title":"A novel index to detect green-tide using UAV-based RGB imagery","volume":"245","author":"Jiang","year":"2022","journal-title":"Estuar. Coast. Shelf Sci."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"105649","DOI":"10.1016\/j.marenvres.2022.105649","article-title":"Analysis of the reasons for the outbreak of Yellow Sea green tide in 2021 based on long-term multi-source data","volume":"178","author":"Li","year":"2022","journal-title":"Mar. Environ. Res."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"113188","DOI":"10.1016\/j.rse.2022.113188","article-title":"On the capacity of Sentinel-1 synthetic aperture radar in detecting floating macroalgae and other floating matters","volume":"280","author":"Qi","year":"2022","journal-title":"Remote Sens. Environ."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Xu, S., Yu, T., Xu, J., Pan, X., Shao, W., Zuo, J., and Yu, Y. (2023). Monitoring and Forecasting Green Tide in the Yellow Sea Using Satellite Imagery. Remote Sens., 15.","DOI":"10.3390\/rs15082196"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Cui, B., Liu, M., Chen, R., Zhang, H., and Zhang, X. (2024). Anisotropic Green Tide Patch Information Extraction Based on Deformable Convolution. Remote Sens., 16.","DOI":"10.3390\/rs16071162"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1016\/j.rse.2017.01.037","article-title":"Remote estimation of biomass of Ulva prolifera macroalgae in the Yellow Sea","volume":"192","author":"Hu","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Tian, W., Wang, J., Zhang, F., Liu, X., Yang, J., Yuan, J., Mi, X., and Shao, Y. (2023). The detection of green tide biomass by remote sensing images and in situ measurement in the Yellow Sea of China. Remote Sens., 15.","DOI":"10.3390\/rs15143625"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"150","DOI":"10.1016\/j.marpolbul.2018.05.035","article-title":"Remote sensing of early-stage green tide in the Yellow Sea for floating-macroalgae collecting campaign","volume":"133","author":"Xing","year":"2018","journal-title":"Mar. Pollut. Bull."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"102523","DOI":"10.1016\/j.hal.2023.102523","article-title":"Where does floating Sargassum in the East China Sea come from?","volume":"129","author":"Qi","year":"2023","journal-title":"Harmful Algae"},{"key":"ref_17","first-page":"1084","article-title":"The inter-annual drift and driven force of Ulva prolifera bloom in the southern Yellow Sea","volume":"49","author":"Zhang","year":"2018","journal-title":"Oceanol. Limn. Sin."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1169","DOI":"10.1016\/j.marpolbul.2011.03.040","article-title":"Inter-and intra-annual patterns of Ulva prolifera green tides in the Yellow Sea during 2007\u20132009, their origin and relationship to the expansion of coastal seaweed aquaculture in China","volume":"62","author":"Keesing","year":"2011","journal-title":"Mar. Pollut. Bull."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Lee, J.H., Pang, I.C., Moon, I.J., and Ryu, J.H. (2011). On physical factors that controlled the massive green tide occurrence along the southern coast of the Shandong Peninsula in 2008: A numerical study using a particle-tracking experiment. J. Geophys. Res. Ocean., 116.","DOI":"10.1029\/2011JC007512"},{"key":"ref_20","first-page":"29","article-title":"Extraction of the green tide drift velocity in the Yellow Sea based on GF-4","volume":"40","author":"Chen","year":"2018","journal-title":"Acta Oceanol. Sin."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"114629","DOI":"10.1016\/j.marpolbul.2023.114629","article-title":"A new Sargassum drift model derived from features tracking in MODIS images","volume":"188","author":"Podlejski","year":"2023","journal-title":"Mar. Pollut. Bull."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"187","DOI":"10.11834\/jrs.20235001","article-title":"High-resolution remote sensing of the transportation of floating macroalgae: Case studies with the Ulva prolifera green tide","volume":"27","author":"Liu","year":"2023","journal-title":"Natl. Remote Sens. Bull."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1016\/j.jmarsys.2009.02.010","article-title":"Surface transport detected by pairs of COSMO-SkyMed ScanSAR images in the Qingdao region (Yellow Sea) during a macro-algal bloom in July 2008","volume":"80","author":"Ciappa","year":"2010","journal-title":"J. Mar. Syst."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"115420","DOI":"10.1016\/j.marpolbul.2023.115420","article-title":"Identification and assessment of the drift velocity of green tides using the maximum cross-correlation method in the Yellow Sea","volume":"194","author":"Ji","year":"2023","journal-title":"Mar. Pollut. Bull."},{"key":"ref_25","first-page":"96","article-title":"Estimation and analysis of the green-tide drift velocity using ship-borne UAV","volume":"43","author":"Jiang","year":"2021","journal-title":"Acta Oceanol. Sin."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1016\/j.rse.2014.09.024","article-title":"Tracing floating green algae blooms in the Yellow Sea and the East China Sea using GOCI satellite data and Lagrangian transport simulations","volume":"156","author":"Son","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1016\/j.pocean.2018.06.009","article-title":"Simulating transport pathways of pelagic Sargassum from the Equatorial Atlantic into the Caribbean Sea","volume":"165","author":"Putman","year":"2018","journal-title":"Prog. Oceanogr."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"6049","DOI":"10.5194\/gmd-14-6049-2021","article-title":"The Lagrangian-based Floating Macroalgal Growth and Drift Model (FMGDM v1.0): Application to the Yellow Sea green tide","volume":"14","author":"Zhou","year":"2021","journal-title":"Geosci. Model Dev."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"e2022JC019607","DOI":"10.1029\/2022JC019607","article-title":"A physical perspective of recurrent water quality degradation: A case study in the Jiangsu coastal waters, China","volume":"128","author":"Chen","year":"2023","journal-title":"J. Geophys. Res. Ocean."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/BF02850393","article-title":"Tide and tidal current charts for the marginal seas adjacent to China","volume":"4","author":"Fang","year":"1986","journal-title":"Chin. J. Oceanol. Limnol."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"105635","DOI":"10.1016\/j.marenvres.2022.105635","article-title":"An evolving marine environment and its driving forces of algal blooms in the Southern Yellow Sea of China","volume":"178","author":"Xu","year":"2022","journal-title":"Mar. Environ. Res."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"111197","DOI":"10.1016\/j.marpolbul.2020.111197","article-title":"Role of nutrients in the development of floating green tides in the Southern Yellow Sea, China, in 2017","volume":"156","author":"Zhang","year":"2020","journal-title":"Mar. Pollut. Bull."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Xue, M., Wu, M., Zheng, L., Liu, J., Liu, L., Zhu, S., Liu, S., and Liu, L. (2023). Multi-Factors Synthetically Contribute to Ulva prolifera Outbreaks in the South Yellow Sea of China. Remote Sens., 15.","DOI":"10.3390\/rs15215151"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"28079","DOI":"10.1007\/s11356-017-0305-7","article-title":"Tempo-spatial dynamics of water quality and its response to river flow in estuary of taihu lake based on GOCI imagery","volume":"24","author":"Du","year":"2017","journal-title":"Environ. Sci. Pollut. Res."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Ding, N., Shao, J., Yan, C., Zhang, J., Qiao, Y., Pan, Y., Yuan, J., Dong, Y., and Yu, B. (2021). Near-ultraviolet to near-infrared band thresholds cloud detection algorithm for TANSAT-CAPI. Remote Sens., 13.","DOI":"10.3390\/rs13101906"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.rse.2014.11.010","article-title":"Estimating advective near-surface currents from ocean color satellite images","volume":"158","author":"Yang","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"5513","DOI":"10.1080\/01431161.2012.663112","article-title":"Satellite monitoring of massive green macroalgae bloom (GMB): Imaging ability comparison of multi-source data and drifting velocity estimation","volume":"33","author":"Cui","year":"2012","journal-title":"Int. J. Remote Sens."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"2118","DOI":"10.1016\/j.rse.2009.05.012","article-title":"A novel ocean color index to detect floating algae in the global oceans","volume":"113","author":"Hu","year":"2009","journal-title":"Remote Sens. Environ."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1016\/j.rse.2016.02.065","article-title":"Mapping macroalgal blooms in the Yellow Sea and East China Sea using HJ-1 and Landsat data: Application of a virtual baseline reflectance height technique","volume":"178","author":"Xing","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"e2022GL098185","DOI":"10.1029\/2022GL098185","article-title":"Climate and anthropogenic controls of seaweed expansions in the East China Sea and Yellow Sea","volume":"49","author":"Qi","year":"2022","journal-title":"Geophys. Res. Lett."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1029\/2012JC008292","article-title":"Quantification of floating macroalgae blooms using the scaled algae index","volume":"118","author":"Garcia","year":"2013","journal-title":"J. Geophys. Res. Ocean."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"1016","DOI":"10.1016\/j.marpolbul.2018.08.035","article-title":"A study of the environmental factors influencing the growth phases of Ulva prolifera in the southern Yellow Sea, China","volume":"135","author":"Jin","year":"2018","journal-title":"Mar. Pollut. Bull."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"2088","DOI":"10.1016\/j.rse.2010.04.014","article-title":"Perito Moreno Glacier (Argentina) flow estimation by COSMO SkyMed sequence of high-resolution SAR-X imagery","volume":"114","author":"Ciappa","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Dobler, D., Maes, C., Martinez, E., Rahmania, R., Gautama, B.G., Farhan, A.R., and Dounias, E. (2022). On the fate of floating marine debris carried to the sea through the main rivers of Indonesia. J. Mar. Sci. Eng., 10.","DOI":"10.3390\/jmse10081009"},{"key":"ref_45","first-page":"1","article-title":"Applicability analysis of the sea surface pressure and wind speed of ERA5 reanalysis data in the Bohai Sea and the Northern Huanghai Seas","volume":"24","author":"Geng","year":"2022","journal-title":"Mar. Sci. Bull."},{"key":"ref_46","first-page":"260","article-title":"A comparative study on the applicability of ERA-Interim and ERA5 reanalysis wind data in the coastal waters of China","volume":"42","author":"Li","year":"2023","journal-title":"Mar. Sci. Bull."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"130","DOI":"10.1016\/j.rse.2019.01.001","article-title":"Prediction of ocean surface trajectories using satellite derived vs. modeled ocean currents","volume":"223","author":"Dagestad","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"113444","DOI":"10.1016\/j.oceaneng.2022.113444","article-title":"Modeling the leeway drift characteristics of persons-in-water at a sea-area scale in the seas of China","volume":"270","author":"Wu","year":"2023","journal-title":"Ocean Eng."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"7759","DOI":"10.1002\/2016JC012113","article-title":"Measurement and Modeling of Oil Slick Transport","volume":"121","author":"Jones","year":"2016","journal-title":"J. Geophys. Res. Ocean."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"15679","DOI":"10.1029\/1999JC900108","article-title":"Influence of stratification on residual tidal currents in the Yellow Sea","volume":"104","author":"Lee","year":"1999","journal-title":"J. Geophys. Res."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"115494","DOI":"10.1016\/j.marpolbul.2023.115494","article-title":"New diagnostic sea surface current fields to trace floating algae in the Yellow Sea","volume":"195","author":"Choi","year":"2023","journal-title":"Mar. Pollut. Bull."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"1943","DOI":"10.1175\/JTECH-D-20-0013.1","article-title":"Evaluating the leeway coefficient of ocean drifters using operational marine environmental prediction systems","volume":"37","author":"Sutherland","year":"2020","journal-title":"J. Atmos. Ocean. Technol."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/16\/2934\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T15:34:31Z","timestamp":1760110471000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/16\/2934"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8,10]]},"references-count":52,"journal-issue":{"issue":"16","published-online":{"date-parts":[[2024,8]]}},"alternative-id":["rs16162934"],"URL":"https:\/\/doi.org\/10.3390\/rs16162934","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,8,10]]}}}