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Error estimation for gridded bathymetry [PDF]
2015 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 2015 Estimating the uncertainty or predicted accuracy of gridded products that are generated from historical bathymetric survey data is of high interest to the maritime navigation community. Surface interpolation methods used for gridding survey data in practice are well established. This paper investigates error estimation methods for gridded bathymetry in
Doucette, Peter +5 more
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Remote Sensing, 2021 This manuscript describes and tests a set of improvements to the cBathy algorithm, published in 2013 by Holman et al. [hereafter HPH13], for the estimation of bathymetry based on optical observations of propagating nearshore waves.
Rob Holman, Erwin W. J. Bergsma
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Lake bathymetry plays a pivotal role in environmental monitoring, ecological management, water quality protection, etc. Hyperspectral remote sensing technology can provide large-scale coverage and more detailed spectral information for bathymetry ...
Dianjun Zhang +5 more
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Applied Sciences, 2021 The accurate estimation of flood risk depends on, among other factors, a correct delineation of the floodable area and its associated hydrodynamic parameters.
Julio Garrote +3 more
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Automated Global Shallow Water Bathymetry Mapping Using Google Earth Engine
Remote Sensing, 2021 Global shallow water bathymetry maps offer critical information to inform activities such as scientific research, environment protection, and marine transportation.
Jiwei Li +6 more
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Blending Bathymetry: Combination of image-derived parametric approximations and celerity data sets for nearshore bathymetry estimation [PDF]
, 2023 Estimation of nearshore bathymetry is important for accurate prediction of nearshore wave conditions. However, direct data collection is expensive and time-consuming while accurate airborne lidar-based survey is limited by breaking waves and decreased ...
Brodie, Katherine +6 more
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S2SHORES: A PYTHON LIBRARY FOR ESTIMATING COASTAL BATHYMETRY
Coastal Engineering Proceedings, 2023 Understanding coastal zone dynamics covering large spatial and dense temporal scales is paramount to understand and mitigate emerging coastal issues relating to climatological changes. However, the uncertainties on the coastal zone risks are still too large to predict effectively impacts on an overall increasing coastal population.
Erwin W. J. Bergsma +7 more
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SAR Bathymetry Review and Its Possibility Implementation in Indonesia
Journal of Geospatial Information Science and Engineering, 2023 Indonesia needs bathymetry information for diverse applications as a maritime country. There are various methods of determining the water depth for bathymetry. The advancement of satellite imagery data has led to the increasing use of remote sensing data
Wening Aisyah Fauziana Koman +2 more
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Gradient Boosting and Linear Regression for Estimating Coastal Bathymetry Based on Sentinel-2 Images
Remote Sensing, 2022 Thousands of vessels travel around the world every day, making the safety, efficiency, and optimization of marine transportation essential. Therefore, the knowledge of bathymetry is crucial for a variety of maritime applications, such as shipping and ...
Fahim Abdul Gafoor +3 more
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