Marine Geodesy最新文献_第6页

A Robust Method to Estimate the Coordinates of Seafloor Stations by Direct-Path Ranging 用直接路径测距法估计海底站坐标的一种稳健方法

IF 1.6 4区地球科学

Marine Geodesy Pub Date : 2022-08-12 DOI: 10.1080/01490419.2022.2113578

Xianping Qin, Yuanxi Yang, Bijiao Sun

{"title":"A Robust Method to Estimate the Coordinates of Seafloor Stations by Direct-Path Ranging","authors":"Xianping Qin, Yuanxi Yang, Bijiao Sun","doi":"10.1080/01490419.2022.2113578","DOIUrl":"https://doi.org/10.1080/01490419.2022.2113578","url":null,"abstract":"Abstract The ranges derived from acoustic measurements between seafloor stations are relatively more accurate compared with those derived from the sea surface vessel transducer to the seafloor transponders, because measurements through mixed water layers will be affected by complex acoustic range errors. Coordinates of seafloor stations can be improved by the direct-path acoustic ranging. Systematic errors in acoustic rangings, however, will significantly deteriorate the accuracy of vertical coordinates. In order to mitigate the effects of these systematic errors (e.g., acoustic ray bending and sound speed variation errors in acoustic measurements on the seafloor station location parameters), the observation model needs to be finely constructed. First, a new observation model with acoustic ray bending and sound speed bias parameters is established. Then, using a seafloor geodetic network with four moored stations at a depth of about 3000 m in the South China Sea, the significance of the acoustic ray bending parameter is tested. The results show that (1) the acoustic ray bending parameter is significant at the 90% confidence level, which means that the acoustic ray bending error in the seafloor geodetic network is not negligible; (2) by estimating the coefficient of acoustic ray bending, the influence of the acoustic ray bending error on the vertical coordinate components can be significantly mitigated; our model improves the accuracy of the seafloor stations’ position with differences in the horizontal coordinate components less than 0.1 cm between the two-dimensional adjustment and three-dimensional adjustment, and also improves the vertical coordinate component to uncertainty less than 3.0 cm; (3) the relative movement between the moored stations is less than 50 cm, and the horizontal movement is larger than the vertical movement.","PeriodicalId":49884,"journal":{"name":"Marine Geodesy","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49644818","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Lead Detection in the Arctic Ocean from Sentinel-3 Satellite Data: A Comprehensive Assessment of Thresholding and Machine Learning Classification Methods 基于Sentinel-3卫星数据的北冰洋铅探测:阈值和机器学习分类方法的综合评估

IF 1.6 4区地球科学

Marine Geodesy Pub Date : 2022-07-08 DOI: 10.1080/01490419.2022.2089412

I. Bij de Vaate, Ericka Martin, D. C. Slobbe, M. Naeije, M. Verlaan

{"title":"Lead Detection in the Arctic Ocean from Sentinel-3 Satellite Data: A Comprehensive Assessment of Thresholding and Machine Learning Classification Methods","authors":"I. Bij de Vaate, Ericka Martin, D. C. Slobbe, M. Naeije, M. Verlaan","doi":"10.1080/01490419.2022.2089412","DOIUrl":"https://doi.org/10.1080/01490419.2022.2089412","url":null,"abstract":"Abstract In the Arctic Ocean, obtaining water levels from satellite altimetry is hampered by the presence of sea ice. Hence, water level retrieval requires accurate detection of fractures in the sea ice (leads). This paper describes a thorough assessment of various surface type classification methods, including a thresholding method, nine supervised-, and two unsupervised machine learning methods, applied to Sentinel-3 Synthetic Aperture Radar Altimeter data. For the first time, the simultaneously sensed images from the Ocean and Land Color Instrument, onboard Sentinel-3, were used for training and validation of the classifiers. This product allows to identify leads that are at least 300 meters wide. Applied to data from winter months, the supervised Adaptive Boosting, Artificial Neural Network, Naïve-Bayes, and Linear Discriminant classifiers showed robust results with overall accuracies of up to 92%. The unsupervised Kmedoids classifier produced excellent results with accuracies up to 92.74% and is an attractive classifier when ground truth data is limited. All classifiers perform poorly on summer data, rendering surface classifications that are solely based on altimetry data from summer months unsuitable. Finally, the Adaptive Boosting, Artificial Neural Network, and Bootstrap Aggregation classifiers obtain the highest accuracies when the altimetry observations include measurements from the open ocean.","PeriodicalId":49884,"journal":{"name":"Marine Geodesy","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43118086","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Extracting Coastal Water Depths from Multi-Temporal Sentinel-2 Images Using Convolutional Neural Networks 基于卷积神经网络的多时相Sentinel-2图像海岸水深提取

IF 1.6 4区地球科学

Marine Geodesy Pub Date : 2022-07-05 DOI: 10.1080/01490419.2022.2091696

Y. Lumban-Gaol, K. Ohori, R. Peters

{"title":"Extracting Coastal Water Depths from Multi-Temporal Sentinel-2 Images Using Convolutional Neural Networks","authors":"Y. Lumban-Gaol, K. Ohori, R. Peters","doi":"10.1080/01490419.2022.2091696","DOIUrl":"https://doi.org/10.1080/01490419.2022.2091696","url":null,"abstract":"Abstract Satellite-Derived Bathymetry (SDB) can be calculated using analytical or empirical approaches. Analytical approaches require several water properties and assumptions, which might not be known. Empirical approaches rely on the linear relationship between reflectances and in-situ depths, but the relationship may not be entirely linear due to bottom type variation, water column effect, and noise. Machine learning approaches have been used to address nonlinearity, but those treat pixels independently, while adjacent pixels are spatially correlated in depth. Convolutional Neural Networks (CNN) can detect this characteristic of the local connectivity. Therefore, this paper conducts a study of SDB using CNN and compares the accuracies between different areas and different amounts of training data, i.e., single and multi-temporal images. Furthermore, this paper discusses the accuracies of SDB when a pre-trained CNN model from one or a combination of multiple locations is applied to a new location. The results show that the accuracy of SDB using the CNN method outperforms existing works with other methods. Multi-temporal images enhance the variety in the training data and improve the CNN accuracy. SDB computation using the pre-trained model shows several limitations at particular depths or when water conditions differ.","PeriodicalId":49884,"journal":{"name":"Marine Geodesy","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45353937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Analytical Method for High-Precision Seabed Surface Modelling Combining B-Spline Functions and Fourier Series b样条函数与傅里叶级数相结合的高精度海底表面建模分析方法

IF 1.6 4区地球科学

Marine Geodesy Pub Date : 2022-06-19 DOI: 10.1080/01490419.2022.2091695

Ruichen Zhang, Guojun Zhai, S. Bian, Houpu Li, B. Ji

{"title":"Analytical Method for High-Precision Seabed Surface Modelling Combining B-Spline Functions and Fourier Series","authors":"Ruichen Zhang, Guojun Zhai, S. Bian, Houpu Li, B. Ji","doi":"10.1080/01490419.2022.2091695","DOIUrl":"https://doi.org/10.1080/01490419.2022.2091695","url":null,"abstract":"Abstract High-accuracy seabed surface modelling provides multi-source high-precision fundamental geographic datasets for marine visual computing, seabed topography detection, marine biology, marine engineering and other fields. Proposed in this paper is a high-precision seabed surface model, which combines B-spline functions and Fourier-series, referred to as the Spline-Fourier-series (S-FS) method. Firstly, the mathematical relationship between the B-spline functions and Fourier-series in the modelling process is explored in depth, deducing the non-recursive basis functions of the Spline-Fourier-series model and the specific representation of the two dimensional Spline-Fourier-series model. Furthermore, using a publicly available Large-area bathymetric dataset, extensive experiments are conducted for comparisons with traditional methods (nearest-neighbor, bilinear, bicubic) and traditional Fourier-series, which generally shows the S-FS method has higher accuracy, better convergence and stronger robustness. Finally, based on its mathematically theoretical model, three characteristics (dimensionality reduction, multi-resolution expression and multi-scale visualization) of the S-FS method for constructing high-precision seabed surface are analyzed visually and deeply. Compared with B-spline function, the basic functions of the S-FS method inherit its prioritized compactly-supported performance and do not need to be recursively calculated anymore, thereby further showing its feasibility and extensibility in the field of high-precision seabed surface modelling.","PeriodicalId":49884,"journal":{"name":"Marine Geodesy","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46376325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Hydrodynamic Modelling of Storm Surge with Modified Wind Fields along the East Coast of India 印度东海岸改变风场的风暴潮水动力模拟

IF 1.6 4区地球科学

Marine Geodesy Pub Date : 2022-06-02 DOI: 10.1080/01490419.2022.2082603

Rohini Selvaraj, Sannasiraj S. A., Sundar Vallam

{"title":"Hydrodynamic Modelling of Storm Surge with Modified Wind Fields along the East Coast of India","authors":"Rohini Selvaraj, Sannasiraj S. A., Sundar Vallam","doi":"10.1080/01490419.2022.2082603","DOIUrl":"https://doi.org/10.1080/01490419.2022.2082603","url":null,"abstract":"AbstractPropagation of tropical cyclones and their landfall along the coast affect the livelihood of the coastal community with loss of life, and Bay of Bengal is particularly vulnerable as past disasters have shown. The present study investigates the effects of tropical cyclones namely Phailin, Hudhud and Vardah during its landfall along the East Coast of India. Numerical modelling of storm surges primarily depends on the wind characteristics, for which, the performance of the simulated storm surge from cyclone wind and pressure fields of ECMWF is examined with Telemac-2D. The quality of the wind field is enhanced by applying available wind modification techniques, such as the parametric cyclone wind model superposed with ECMWF wind field, and the direct modification of ECMWF wind field. The superposed wind speed is found in good agreement with the measured wind data. The hydrodynamic simulation was then performed for the cyclonic events for the computation of the storm surge. The predictions agree well with the observed surges for the simulations performed with modified wind fields. The error reduced from 15 cm to 6 cm and model skill improved by 3% leading to a correlation coefficient of 0.98.","PeriodicalId":49884,"journal":{"name":"Marine Geodesy","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138516826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

A Self-Constraint Underwater Positioning Method without the Assistance of Measured Sound Velocity Profile 一种无需测量声速剖面辅助的水下自约束定位方法

IF 1.6 4区地球科学

Marine Geodesy Pub Date : 2022-05-18 DOI: 10.1080/01490419.2022.2079778

Jianhu Zhao, Wenbiao Liang, Jinye Ma, Meiqin Liu, Yuqing Li

{"title":"A Self-Constraint Underwater Positioning Method without the Assistance of Measured Sound Velocity Profile","authors":"Jianhu Zhao, Wenbiao Liang, Jinye Ma, Meiqin Liu, Yuqing Li","doi":"10.1080/01490419.2022.2079778","DOIUrl":"https://doi.org/10.1080/01490419.2022.2079778","url":null,"abstract":"Abstract Aiming at the problem that lack of the measured sound velocity profile (SVP) leads to the unreliable underwater positioning solution, this paper proposed an efficient underwater positioning method by the self-constraint conditions of water depth and sound velocity gradient. To construct the depth constraint condition, the sound propagation distance error model is deduced by acoustic ray tracing, and the sound vertical propagation error model related to the incident angle and sound velocity error is given firstly. By fitting the vertical propagation error model, the reference depth is solved, and the vertical propagation distances between the transducer and the underwater control points of all observation epochs are gotten. Then with the solved vertical distance of each epoch and the sound velocity gradient from neighbor SVPs as the constraint conditions, the SVP is retrieved by the simulated annealing (SA) algorithm. With the retrieved SVP, the underwater positioning can be performed when the measured SVP is absent. The proposed method was verified by an experiment in the 3000 m depth water area of the South China Sea. The results achieved 2.07 m/s of standard deviation of the SVP inversion, centimeter-level horizontal positioning accuracy and 0.54 m of vertical positioning accuracy under the circumstance of lack of SVP measurement.","PeriodicalId":49884,"journal":{"name":"Marine Geodesy","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48982416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

An Empirical Study of the Influence of Seafloor Morphology on the Uncertainty of Bathymetric Data 海底形态对水深数据不确定性影响的实证研究

IF 1.6 4区地球科学

Marine Geodesy Pub Date : 2022-05-09 DOI: 10.1080/01490419.2022.2075499

Willian Ney Cassol, S. Daniel, É. Guilbert, N. Debese

引用次数: 1

Satellite Derived Bathymetry with Sentinel-2 Imagery: Comparing Traditional Techniques with Advanced Methods and Machine Learning Ensemble Models Sentinel-2成像的卫星测深：传统技术与先进方法的比较和机器学习集成模型

IF 1.6 4区地球科学

Marine Geodesy Pub Date : 2022-04-11 DOI: 10.1080/01490419.2022.2064572

Tyler Susa

{"title":"Satellite Derived Bathymetry with Sentinel-2 Imagery: Comparing Traditional Techniques with Advanced Methods and Machine Learning Ensemble Models","authors":"Tyler Susa","doi":"10.1080/01490419.2022.2064572","DOIUrl":"https://doi.org/10.1080/01490419.2022.2064572","url":null,"abstract":"Abstract Accurate charting of nearshore bathymetry is critical to the safe and dependable use of coastal waterways frequented by the trading, fishing, tourism, and ocean energy industries. The accessibility of satellite imagery and the availability of various satellite-derived bathymetry (SDB) techniques have provided a cost-effective alternative to traditional in-situ bathymetric surveys. Furthermore, improved algorithms and the advancement of machine learning models have provided opportunity for higher quality bathymetric derivations. However, to date the relative accuracy and performance between traditional physics-based techniques, improved physics-based methods, and machine learning ensemble models have not been adequately quantified. In this study, nearshore bathymetry is derived from Sentinel-2 satellite imagery near La Parguera, Puerto Rico utilizing a traditional band-ratio algorithm, a band-ratio switching method, a random forest machine learning model, and the XGBoost machine learning model. The machine learning models returned comparable results and were markedly more accurate relative to other techniques; however, both machine learning models required an extensive training dataset. All models were constrained by environmental influences and image spatial resolution, which were assessed to be the limiting factors for routine use of satellite-derived bathymetry as a reliable method for hydrographic surveying.","PeriodicalId":49884,"journal":{"name":"Marine Geodesy","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48388000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Acoustic Ray-Trace Correction for UUVs Cooperative Localization in Deep Ocean Applications 深海无人潜航器协同定位的声线轨迹校正

IF 1.6 4区地球科学

Marine Geodesy Pub Date : 2022-03-29 DOI: 10.1080/01490419.2022.2059601

Zhenqiang Du, Hongzhou Chai, Zeyu Li, Minzhi Xiang, Fan Zhang, Jun Hui

{"title":"Acoustic Ray-Trace Correction for UUVs Cooperative Localization in Deep Ocean Applications","authors":"Zhenqiang Du, Hongzhou Chai, Zeyu Li, Minzhi Xiang, Fan Zhang, Jun Hui","doi":"10.1080/01490419.2022.2059601","DOIUrl":"https://doi.org/10.1080/01490419.2022.2059601","url":null,"abstract":"Abstract Precise position of Unmanned Underwater Vehicles (UUVs) plays a decisive role in optimal formation control, reasonable path planning, and efficient cooperative operation. However, the traditional method has the deficiency of low ranging accuracy and contains systematic deviation in the deep ocean applications, which seriously affects the accuracy of UUVs position and makes the goal of UUVs optimal configuration no longer applicable. A novel acoustic ray-trace correction method is proposed for UUVs cooperative localization in deep ocean applications. Considering the bending of underwater sound ray and the variation of sound velocity, the model of UUVs cooperative localization based on ray-trace correction is established. Two master UUVs in shallow ocean and one slave UUV in deep ocean under five configurations are simulated. The experimental results show that the average position bias of UUVs cooperative localization under the five configurations are reduced by 57.97%, 62.29%, 68.51%, 74.93% and 82.54%, respectively, which can expand the application scenarios of UUV. Furthermore, the proposed method can overcome the drawback of systematic deviation in the traditional method, so as to be consistent with the goal of UUVs optimal configuration.","PeriodicalId":49884,"journal":{"name":"Marine Geodesy","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46372703","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Realization and Evaluation of Real-Time Uncombined GPS/Galileo/BDS PPP-RTK in the Offshore Area of China’s Bohai Sea 实时非组合GPS/Gileo/BDS PPP-RTK在中国渤海近海的实现与评估

IF 1.6 4区地球科学

Marine Geodesy Pub Date : 2022-03-28 DOI: 10.1080/01490419.2022.2057628

Xiao Yin, Hongzhou Chai, W. Xu, Liang Zhao, Huawei Zhu

{"title":"Realization and Evaluation of Real-Time Uncombined GPS/Galileo/BDS PPP-RTK in the Offshore Area of China’s Bohai Sea","authors":"Xiao Yin, Hongzhou Chai, W. Xu, Liang Zhao, Huawei Zhu","doi":"10.1080/01490419.2022.2057628","DOIUrl":"https://doi.org/10.1080/01490419.2022.2057628","url":null,"abstract":"Abstract The real-time kinematic (RTK) technology has been widely used as the high-precision positioning method in the offshore area. However, RTK requires a bi-directional communication and groups measurement errors together, thereby limiting its mass-market applications. Combining the advantages of precise point positioning (PPP) and RTK, PPP-RTK has become one of the hotspot technologies in the mass market. In this contribution, we propose the uncombined multi-GNSS PPP-RTK model using uncalibrated phase delays (UPDs) estimated from the legacy ionosphere-free and Melbourne-Wübbena combination. With the UPDs estimated based on 14 regional stations, we conduct PPP ambiguity resolution (AR) at 3 augmentation stations and derive precise atmospheric corrections, i.e., RMS of zenith tropospheric and slant ionospheric correction can be up to 4.89 mm and 2.20 cm, respectively. After applying atmospheric correction, the correct fixed solution of four on-board kinematic experiments can be better than 95% and the positioning accuracy can be better than 5 cm in both horizontal and vertical direction, showing the encouraging performance similar to RTK in the offshore area.","PeriodicalId":49884,"journal":{"name":"Marine Geodesy","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43174760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3