Results 11 to 20 of about 28,768 (293)

Blending bathymetry: Combination of image-derived parametric approximations and celerity data sets for nearshore bathymetry estimation

Coastal Engineering
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 light penetration affected by water turbidity.
Jonghyun Lee, Tyler J Hesser, A Spicer Bak   +2 more
exaly   +3 more sources

Full-grid bathymetry estimation in the numerical simulation of 8 tidal constituents using an ensemble adjustment Kalman filter-smoothing scheme

Frontiers in Marine Science
The spatially varying geographic-parameters introduce significant uncertainty into the ocean model. Due to the impracticality of manually tuning spatial varying parameters, data assimilation methods are widely used for geographic-parameter optimization ...
Haowen Wu, Haowen Wu, Wei Li, Wei Li, Wei Li, Guijun Han, Guijun Han, Lige Cao, Lige Cao, Xudong Cui, Xudong Cui, Kangzhuang Liang, Kangzhuang Liang, Gongfu Zhou, Gongfu Zhou, Qingyu Zheng, Qingyu Zheng   +16 more
doaj   +3 more sources

A Feasibility Study of Nearshore Bathymetry Estimation via Short-Range K-Band MIMO Radar

Remote Sensing
This paper provides an assessment of a 24 GHz multiple-input multiple-output radar as a remote sensing tool to retrieve bathymetric maps in coastal areas.
Giovanni Ludeno, Matteo Antuono, Francesco Soldovieri, Gianluca Gennarelli   +3 more
doaj   +3 more sources

Ensemble Machine Learning Approaches for Bathymetry Estimation in Multi-Spectral Images

Geomatics
Traditional bathymetry measures require a large number of human hours, and many bathymetry records are obsolete or missing. Automated measures of bathymetry would reduce costs and increase accessibility for research and applications.
Kazi Aminul Islam, Omar Abul-Hassan, Hongfang Zhang, Victoria Hill, Blake Schaeffer, Richard Zimmerman, Jiang Li   +6 more
doaj   +3 more sources

Nearshore bathymetry estimation through dual-time phase satellite imagery in the absence of in-situ data

GIScience & Remote Sensing, 2023
Accurate bathymetric information is an important foundation for marine resource development and nearshore ecological protection. Existing empirical algorithms can estimate water depth from high resolution images with the aid of ground truth bathymetry ...
Xiaohan Zhang, Wei Han, Jun Li, Lizhe Wang   +3 more
doaj   +1 more source

Estimating runup with limited bathymetry

Coastal Engineering, 2022
Abstract Wave runup estimates are used in erosion and overtopping models, and in coastal structure design. However, runup depends on often incompletely known surf and swash bathymetry. The many existing runup parameterizations characterizing bathymetry with only the foreshore (swash zone) beach slope β f are necessarily of limited ...
Athina M.Z. Lange, Julia W. Fiedler, Janet M. Becker, Mark A. Merrifield, R.T. Guza   +4 more
openaire   +1 more source

Research on bathymetry estimation by Worldview-2 based with the semi-analytical model [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015
South Sea Islands of China are far away from the mainland, the reefs takes more than 95% of south sea, and most reefs scatter over interested dispute sensitive area.
L. Sheng, J. Bai, G.-W. Zhou, Y. Zhao, Y.-C. Li   +4 more
doaj   +1 more source

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, Dolloff, John, Braun, Aaron, Gurson, Adam, Read, Chung Hye, Shapo, Ben   +5 more
openaire   +1 more source

Data-assimilation-based parameter estimation of bathymetry and bottom friction coefficient to improve coastal accuracy in a global tide model [PDF]

Ocean Science, 2022
Global tide and surge models play a major role in forecasting coastal flooding due to extreme events or climate change. The model performance is strongly affected by parameters such as bathymetry and bottom friction.
X. Wang, M. Verlaan, M. Verlaan, J. Veenstra, H. X. Lin   +4 more
doaj   +1 more source

Updates to and Performance of the cBathy Algorithm for Estimating Nearshore Bathymetry from Remote Sensing Imagery

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
doaj   +1 more source