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

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   +5 more sources

The Influence of Camera Calibration on Nearshore Bathymetry Estimation from UAV Videos [PDF]

Remote Sensing, 2021
Measuring the nearshore bathymetry is critical in coastal management and morphodynamic studies. The recent advent of Unmanned Aerial Vehicles (UAVs), in combination with coastal video monitoring techniques, allows for an alternative and low cost ...
Gonzalo Simarro, Daniel Calvete, Theocharis A. Plomaritis, Francesc Moreno-Noguer, Ifigeneia Giannoukakou-Leontsini, Juan Montes, Ruth Durán   +6 more
doaj   +8 more sources

Estimation of Coastal Bathymetry Using Wavelets [PDF]

Journal of Marine Science and Engineering, 2020
When waves propagate in coastal areas at depths lower than one half the wavelength, they exhibit a different signature at the sea surface and the observed wavelength pattern enables inferring bathymetries.
Diogo Santos, Tiago Abreu, Paulo A. Silva, Paulo Baptista   +3 more
doaj   +4 more sources

Bathymetry estimation for coastal regions using self-attention [PDF]

Scientific Reports
Bathymetric mapping of the coastal area is essential for coastal development and management. However, conventional bathymetric measurement in coastal areas is resource-expensive and under many constraints.
Xiaoxiong Zhang, Maryam R. Al Shehhi
doaj   +4 more sources

Coastal Bathymetry Estimation from Sentinel-2 Satellite Imagery: Comparing Deep Learning and Physics-Based Approaches

Remote Sensing, 2022
The ability to monitor the evolution of the coastal zone over time is an important factor in coastal knowledge, development, planning, risk mitigation, and overall coastal zone management.
Mahmoud Al Najar, Rachid Benshila, Youssra El Bennioui, Grégoire Thoumyre, Rafael Almar, Erwin W. J. Bergsma, Jean-Marc Delvit, Dennis G. Wilson   +7 more
doaj   +4 more sources

Improved Filtering of ICESat-2 Lidar Data for Nearshore Bathymetry Estimation Using Sentinel-2 Imagery

Remote Sensing, 2021
The accurate estimation of nearshore bathymetry is necessary for multiple aspects of coastal research and practices. The traditional shipborne single-beam/multi-beam echo sounders and Airborne Lidar bathymetry (ALB) have a high cost, are inefficient, and
Congshuang Xie, Peng Chen, Delu Pan, Chunyi Zhong, Zhenhua Zhang   +4 more
doaj   +4 more sources

A Deep Learning Approach for Estimation of the Nearshore Bathymetry

Journal of Coastal Research, 2020
Benshila, R.; Thoumyre, G.; Al Najar, M.; Absessolo, G.; Almar, R.; Bergsma, E.; Hugonnard, G.; Labracherie, L.; Lavie, B.; Ragonneau, T.; Simon, E.; Vieuble, B., and Wilson D., 2020. A deep learning approach for estimation of the nearshore bathymetry. In: Malvarez, G. and Navas, F. (eds.), Global Coastal Issues of 2020.
Rafael Almar, Mahmoud Al Najar, Rachid Benshila   +2 more
exaly   +5 more sources

Cubesats Allow High Spatiotemporal Estimates of Satellite-Derived Bathymetry [PDF]

Remote Sensing, 2019
High spatial and temporal resolution satellite remote sensing estimates are the silver bullet for monitoring of coastal marine areas globally. From 2000, when the first commercial satellite platforms appeared, offering high spatial resolution data, the ...
Dimitris Poursanidis, Dimosthenis Traganos, Nektarios Chrysoulakis, Peter Reinartz   +3 more
doaj   +5 more sources

A Novel Approach for Bathymetry Estimation through Bayesian Gravity Inversion

Geosciences, 2023
The bathymetry is the most superficial layer of the Earth’s crust on which it is possible to perform direct measurements. However, it is also well known that water covers more than 70% of the Earth’s surface, so an enormous expenditure of acquisition ...
Daniele Sampietro, Martina Capponi
doaj   +3 more sources

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.
Tyler Hesser, Jonghyun Lee, Matthew Farthing   +2 more
exaly   +3 more sources