Results 11 to 20 of about 1,580,763 (277)

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   +2 more sources

Bathymetry Estimation From Single-Frame Images of Nearshore Waves [PDF]

IEEE Transactions on Geoscience and Remote Sensing, 2009
Existing methods for determining bathymetry from remotely sensed images of nearshore waves exploit only information on the magnitude of wavenumber (k = 2pi/L), ignoring spatial changes in wave direction thetas that can provide information about bathymetry gradients.
Kristen D. Splinter, Robert A. Holman
openaire   +4 more sources

Coastal bathymetry estimation from Sentinel-1 data

, 2018
Coastal bathymetry estimation from Sentinel-1 ...
Lamas, L., Pinto, J.P., Sancho, F., Azevedo, A., Birrien, F., Vilar, P., Moura, A.   +6 more
openaire   +3 more sources

Bathymetry Determination via X-Band Radar Data: A New Strategy and Numerical Results

Sensors, 2010
This work deals with the question of sea state monitoring using marine X-band radar images and focuses its attention on the problem of sea depth estimation.
Francesco Soldovieri, Virginia Zamparelli, Jose Carlos Nieto Borge, Claudio Lugni, Francesco Serafino   +4 more
doaj   +2 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

Video-based nearshore bathymetry estimation in macro-tidal environments [PDF]

Marine Geology, 2016
Abstract Video-based depth inversion through the linear dispersion relation for free surface waves using the cross spectral correlation analysis, cBathy (Holman et al., 2013), is applied for the first time in a highly energetic macro-tidal environment in the South West of England at Porthtowan.
E.W.J. Bergsma, D.C. Conley, M.A. Davidson, T.J. O'Hare   +3 more
openaire   +4 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

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