Shoreline change detection using DSAS technique: case of Saint Martin Island, Bangladesh

MF Hossen, N Sultana - Remote sensing applications: society and …, 2023 - Elsevier
Abstract Saint Martin, Bangladesh's only coral island, is a popular tourist destination and a
blue economy hub. Saint Martin's shoreline constantly changes due to natural and …

[图书][B] Multisensor data fusion and machine learning for environmental remote sensing

NB Chang, K Bai - 2018 - taylorfrancis.com
In the last few years the scientific community has realized that obtaining a better
understanding of interactions between natural systems and the man-made environment …

[图书][B] Coastal acoustic tomography

A Kaneko, XH Zhu, J Lin - 2020 - books.google.com
Coastal Acoustic Tomography begins with the specifics required for designing a Coastal
Acoustic Tomography (CAT) experiment and operating the CAT system in coastal seas …

Extended Kalman Filter framework for forecasting shoreline evolution

JW Long, NG Plant - Geophysical Research Letters, 2012 - Wiley Online Library
A shoreline change model incorporating both long‐and short‐term evolution is integrated
into a data assimilation framework that uses sparse observations to generate an updated …

Shoreline variability from days to decades: Results of long‐term video imaging

C Pianca, R Holman, E Siegle - Journal of Geophysical …, 2015 - Wiley Online Library
The present work characterizes the time‐space scales of variability and forcing
dependencies of a unique 26 year record of daily to hourly shoreline data from a steep …

The streamflow estimation using the Xinanjiang rainfall runoff model and dual state-parameter estimation method

H Lü, T Hou, R Horton, Y Zhu, X Chen, Y Jia… - Journal of …, 2013 - Elsevier
To accurately estimate floods with hydrological models, the model parameters and the initial
state variables must be known. Good estimations of parameters and initial state variables …

Air-sea interaction processes during hurricane Sandy: Coupled WRF-FVCOM model simulations

S Li, C Chen - Progress in Oceanography, 2022 - Elsevier
A fully-coupled atmospheric-ocean model was developed by coupling WRF (Weather
Research and Forecasting Model) with FVCOM (the unstructured-grid, Finite-Volume …

Using deep learning to improve ensemble smoother: Applications to subsurface characterization

J Zhang, Q Zheng, L Wu, L Zeng - Water Resources Research, 2020 - Wiley Online Library
Ensemble smoother (ES) has been widely used in various research fields to reduce the
uncertainty of the system‐of‐interest. However, the commonly adopted ES method that …

Current separation and upwelling over the southeast shelf of Vietnam in the South China Sea

C Chen, Z Lai, RC Beardsley, Q Xu… - Journal of …, 2012 - Wiley Online Library
The high‐resolution, unstructured grid Finite‐Volume Community Ocean Model (FVCOM)
was used to examine the physical mechanisms that cause current separation and upwelling …

A new high‐resolution unstructured grid finite volume Arctic Ocean model (AO‐FVCOM): An application for tidal studies

C Chen, G Gao, J Qi, A Proshutinsky… - Journal of …, 2009 - Wiley Online Library
A spherical coordinate version of the unstructured grid 3‐D FVCOM (finite volume coastal
ocean model) has been applied to the Arctic Ocean to simulate tides with a horizontal …