Estimating Significant Wave Height from SAR with Long Integration Times
Applied Sciences, 2022 Synthetic aperture radar (SAR) is an important means of estimating significant wave height with obvious advantages of all-day, all-weather, high resolution and wide swath coverage.
Yawei Zhao +4 more
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Evaluation of Chinese Quad-polarization Gaofen-3 SAR Wave Mode Data for Significant Wave Height Retrieval [PDF]
Canadian Journal of Remote Sensing, 2018 Our work describes the accuracy of Chinese quad-polarization Gaofen-3 (GF-3) synthetic aperture radar (SAR) wave mode data for wave retrieval and provides guidance for the operational applications of GF-3 SAR.
Shuai Zhu +8 more
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Significant Wave Height Forecasting using Long-Short Term Memory (LSTM) in Seribu Island Waters
IJCCS (Indonesian Journal of Computing and Cybernetics Systems)Wind waves are natural phenomena primarily generated by the wind. Information about wave height and period is highly crucial in various marine fields such as coastal engineering, fisheries, and maritime transportation. However, accurately predicting wave
Husnul Khatimah +2 more
doaj +3 more sources
An EEMD-BiLSTM Algorithm Integrated with Boruta Random Forest Optimiser for Significant Wave Height Forecasting along Coastal Areas of Queensland, Australia [PDF]
, 2021 Using advanced deep learning (DL) algorithms for forecasting significant wave height of coastal sea waves over a relatively short period can generate important information on its impact and behaviour.
Nawin Raj +4 more
core +1 more source
The Wide Swath Significant Wave Height: An Innovative Reconstruction of Significant Wave Heights From CFOSAT’s SWIM and Scatterometer Using Deep Learning [PDF]
Geophysical Research Letters, 2021 AbstractThe accuracy of a wave model can be improved by assimilating an adequate number of remotely sensed wave heights. The Surface Waves Investigation and Monitoring (SWIM) and Scatterometer (SCAT) instruments onboard China‐France Oceanic SATellite provide simultaneous observations of waves and wide swath wind fields.
J. K. Wang +6 more
openaire +4 more sources
Energy and AI, 2023 The prediction of significant wave height (SWH) is crucial for managing wave energy. While many machine learning studies have focused on accurately predicting SWH values within hours in advance, the primary concern should be given to the level of the ...
Yaoran Chen +8 more
doaj +1 more source
Prediction of the Severest Significant Wave Height
Coastal Engineering 1980, 1980 This paper presents a method to statistically estimate the severest sea state (significant wave height) from the observed data. For the estimation of extreme significant wave height, a precise representation of the data by a certain probability function is highly desirable.
Michel K. Ochi, Joseph E. Whalin
openaire +2 more sources
Improved CYGNSS Wind Speed Retrieval Using Significant Wave Height Correction
Remote Sensing, 2021 This article presents the methodology for an improved estimation of the sea surface wind speed measured by the cyclone global navigation satellite system (CYGNSS) constellation of satellites using significant wave height (SWH) information as external ...
Daniel Pascual +2 more
doaj +1 more source
, 2023 A robust short-term significant wave height (Hs) modelling framework based on an ensemble local mean decomposition method integrated with random forest (i.e., En-RLMD-RF) is developed.
Yaseen, Zaher Mundher +4 more
core +1 more source
Significant Wave Height Estimation from Space-Borne Cyclone-GNSS Reflectometry
Remote Sensing, 2019 The significant wave height (SWH) of the sea is an important parameter and plays an important role in the prediction of waves and ocean dynamics. However, traditional methods, e.g., buoys or traditional remote sensing techniques such as X-band radar ...
Qin Peng, Shuanggen Jin
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