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A rigorous bathymetric model that considers the variation in tide height time series, including the tide height calculation and instantaneous tide height correction at the epoch of satellite flight into the bathymetric retrieval model, is proposed in this paper. The model was applied on Weizhou Island, located in Guangxi Province, China, and its accuracy verificated with four check lines and seven checkpoints. A scene from the Landsat 8 satellite image was used as experimental data. The reference (\u201ctrue\u201d) water depth data collected by a RESON SeaBat 7125 multibeam instrument was used for comparison analysis. When satellite-derived bathymetry is compared, it is found that maximum absolute error, mean absolute error, and RMSE have decreased 54, 45, and 30% relative to that of the traditional model in the entire test field. The accuracy of the water depths retrieved by our model increased 30 and 56% when validated using four check lines and seven checkpoints, respectively. 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Remote Sens."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"3731","DOI":"10.1080\/01431161.2021.1880662","article-title":"Design of Supercontinuum Laser Hyperspectral LiDAR (SCLaHS LiDAR)","volume":"42","author":"Zhou","year":"2021","journal-title":"Int. J. Remote Sens."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"3213","DOI":"10.1109\/TGRS.2019.2951144","article-title":"Propagated Uncertainty Models Arising From Device, Environment, and Target for a Small Laser Spot Airborne LiDAR Bathymetry and Its Verification in the South China Sea","volume":"58","author":"Su","year":"2020","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Qi, J., Gong, Z., Yao, A., Liu, X., Li, Y., Zhang, Y., and Zhong, P. (2021). Bathymetric-Based Band Selection Method for Hyperspectral Underwater Target Detection. Remote Sens., 13.","DOI":"10.3390\/rs13193798"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Botha, E.J., Brando, V.E., and Dekker, A.G. (2016). Effects of Per-Pixel Variability on Uncertainties in Bathymetric Retrievals from High-Resolution Satellite Images. Remote Sens., 8.","DOI":"10.3390\/rs8060459"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Salameh, E., Frappart, F., Almar, R., Baptista, P., Heygster, G., Lubac, B., Raucoules, D., Almeida, L.P., Bergsma, E.W.J., and Capo, S. (2019). Monitoring beach topography and nearshore bathymetry using spaceborne remote sensing: A review. Remote Sens., 11.","DOI":"10.3390\/rs11192212"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"7393","DOI":"10.1109\/TGRS.2014.2311991","article-title":"Seamless Fusion of LiDAR and Aerial Imagery for Building Extraction","volume":"2","author":"Zhou","year":"2014","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Zhou, G. (2021). Urban High-Resolution Remote Sensing Algorithms and Modeling, CRC Press, Tylor & Francis Group.","DOI":"10.1201\/9781003082439"},{"key":"ref_18","unstructured":"Polcyn, F.C., and Lyzenga, D.R. (1973). Calculations of Water Depth from ERTS-MSS Data, Environmental Research Institute of Michigan."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"380","DOI":"10.1364\/AO.17.000379","article-title":"Passive remote sensing techniques for mapping water depth and bottom features","volume":"17","author":"Lyzenga","year":"1978","journal-title":"Appl. Opt."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1134","DOI":"10.1364\/AO.22.001134","article-title":"Water depth mapping from passive remote sensing data under a generalized ratio assumption","volume":"22","author":"Paredes","year":"1983","journal-title":"Appl. Opt."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"547","DOI":"10.4319\/lo.2003.48.1_part_2.0547","article-title":"Determination of water depth with high-resolution satellite imagery over variable bottom types","volume":"48","author":"Stumpf","year":"2003","journal-title":"Limnol. Oceanogr."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"2251","DOI":"10.1109\/TGRS.2006.872909","article-title":"Multispectral bathymetry using a simple physically based algorithm","volume":"44","author":"Lyzenga","year":"2006","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1205","DOI":"10.1109\/TGRS.2013.2248372","article-title":"Bathymetry Retrieval From Hyperspectral Remote Sensing Data in Optical-Shallow Water","volume":"52","author":"Ma","year":"2014","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.isprsjprs.2019.02.012","article-title":"A dual band algorithm for shallow water depth retrieval from high spatial resolution imagery with no ground truth","volume":"151","author":"Chen","year":"2019","journal-title":"ISPRS-J. Photogramm. Remote Sens."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"6871","DOI":"10.1109\/JSTARS.2021.3093624","article-title":"A Multiband Model With Successive Projections Algorithm for Bathymetry Estimation Based on Remotely Sensed Hyperspectral Data in Qinghai Lake","volume":"14","author":"Zhang","year":"2021","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"6329","DOI":"10.1364\/AO.37.006329","article-title":"Hyperspectral remote sensing for shallow waters. I. A semianalytical model","volume":"37","author":"Lee","year":"1988","journal-title":"Appl. Opt."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"2191","DOI":"10.1364\/AO.41.002191","article-title":"Effect of spectral band numbers on the retrieval of water column and bottom properties from ocean color data","volume":"41","author":"Lee","year":"2002","journal-title":"Appl. Opt."},{"key":"ref_28","unstructured":"(2020, March 20). Numerical Optics Ltd.. Available online: https:\/\/www.numopt.com\/hydrolight.html."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"136","DOI":"10.1016\/S0034-4257(01)00340-6","article-title":"SPOT shallow water bathymetry of a moderately turbid tidal inlet based on field measurements","volume":"81","author":"Lafon","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"337","DOI":"10.1109\/TGRS.2004.841246","article-title":"Remote bathymetry of the littoral zone from AVIRIS, LASH, and QuickBird imagery","volume":"43","author":"Acharya","year":"2005","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"6656","DOI":"10.1117\/1.2816113","article-title":"Retrieving key benthic cover types and bathymetry from hyperspectral imagery","volume":"1","author":"Klonowski","year":"2007","journal-title":"J. Appl. Remote Sens."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"755","DOI":"10.1016\/j.rse.2008.12.003","article-title":"A physics based retrieval and quality assessment of bathymetry from suboptimal hyperspectral data","volume":"113","author":"Brando","year":"2009","journal-title":"Remote Sens. Environ."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"3539","DOI":"10.1109\/TGRS.2014.2377300","article-title":"High-Resolution Maps of Bathymetry and Benthic Habitats in Shallow-Water Environments Using Multispectral Remote Sensing Imagery","volume":"53","author":"Eugenio","year":"2015","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"348","DOI":"10.1016\/j.rse.2017.01.004","article-title":"Hyperspectral remote sensing of coral reefs by semi-analytical model inversion\u2014Comparison of different inversion setups","volume":"190","author":"Petit","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Huang, R., Yu, K., Wang, Y., Wang, J., Mu, L., and Wang, W. (2017). Bathymetry of the coral reefs of Weizhou Island based on multispectral satellite images. Remote Sens., 9.","DOI":"10.3390\/rs9070750"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"3576","DOI":"10.1364\/AO.44.003576","article-title":"Interpretation of hyperspectral remote-sensing imagery by spectrum matching and look-up tables","volume":"44","author":"Mobley","year":"2017","journal-title":"Appl. Opt."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"2527","DOI":"10.1016\/j.rse.2009.07.008","article-title":"Efficient radiative transfer model inversion for remote sensing applications","volume":"113","author":"Hedley","year":"2009","journal-title":"Remote Sens. Environ."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Garcia, R.A., Lee, Z., and Hochberg, E.J. (2018). Hyperspectral Shallow-Water Remote Sensing with an Enhanced Benthic Classifier. Remote Sens., 10.","DOI":"10.3390\/rs10010147"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"903","DOI":"10.1080\/2150704X.2020.1795293","article-title":"Deriving bathymetry and water properties from hyperspectral imagery by spectral matching using a full radiative transfer model","volume":"11","author":"Gillis","year":"2020","journal-title":"Remote Sens. Lett."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"307","DOI":"10.1016\/j.rse.2018.03.024","article-title":"An algorithm for optically-deriving water depth from multispectral imagery in coral reef landscapes in the absence of ground-truth data","volume":"210","author":"Kerr","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"2695","DOI":"10.1109\/TGRS.2019.2953381","article-title":"A Bathymetry Mapping Approach Combining Log-Ratio and Semianalytical Models Using Four-Band Multispectral Imagery Without Ground Data","volume":"58","author":"Xia","year":"2020","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"8745","DOI":"10.1109\/TGRS.2019.2922724","article-title":"Technical Framework for Shallow-Water Bathymetry with High Reliability and No Missing Data Based on Time-Series Sentinel-2 Images","volume":"57","author":"Chu","year":"2019","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1109\/59.49121","article-title":"A new parallel LU decomposition method","volume":"5","author":"Yu","year":"1990","journal-title":"IEEE Trans. Power Syst."},{"key":"ref_44","unstructured":"Qingyang, L., Nengchao, W., and Dayi, Y. (2008). Numerical Analysis, Tsinghua University Press. [5th ed.]."},{"key":"ref_45","first-page":"437","article-title":"How to Time-Stamp a Digital Document","volume":"Volume 537","author":"Menezes","year":"1991","journal-title":"Advances in Cryptology-CRYPTO\u2019 90. CRYPTO 1990"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"449","DOI":"10.1016\/j.energy.2015.03.094","article-title":"Evaluation of the wave energy conditions along the coastal waters of Beibu Gulf, China","volume":"85","author":"Zhou","year":"2015","journal-title":"Energy"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"344","DOI":"10.1016\/j.renene.2014.08.014","article-title":"Temporal-spatial distribution of wave energy: A case study of Beibu Gulf, China","volume":"74","author":"Zhou","year":"2015","journal-title":"Renew. Energy"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/10\/2495\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T23:16:51Z","timestamp":1760138211000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/10\/2495"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,23]]},"references-count":47,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2022,5]]}},"alternative-id":["rs14102495"],"URL":"https:\/\/doi.org\/10.3390\/rs14102495","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,5,23]]}}}