Synthetic aperture radar for geosciences

L Meng, C Yan, S Lv, H Sun, S Xue, Q Li… - Reviews of …, 2024 - Wiley Online Library
Abstract Synthetic Aperture Radar (SAR) has emerged as a pivotal technology in
geosciences, offering unparalleled insights into Earth's surface. Indeed, its ability to provide …

Satellite remote sensing of surface winds, waves, and currents: where are we now?

D Hauser, S Abdalla, F Ardhuin, JR Bidlot… - Surveys in …, 2023 - Springer
This review paper reports on the state-of-the-art concerning observations of surface winds,
waves, and currents from space and their use for scientific research and subsequent …

Quad-polarimetric SAR sea state retrieval algorithm from Chinese Gaofen-3 wave mode imagettes via deep learning

H Wang, J Yang, M Lin, W Li, J Zhu, L Ren… - Remote Sensing of …, 2022 - Elsevier
Synthetic aperture radar (SAR) is a powerful tool for monitoring sea states in terms of the
significant wave height (SWH). Regarding the specific wave mode, to date, the previous …

Wave retrieval from quad-polarized Chinese Gaofen-3 SAR image using an improved tilt modulation transfer function

W Shao, Y Hu, X Jiang, Y Zhang - Geo-Spatial Information Science, 2024 - Taylor & Francis
ABSTRACT An accurate Modulation Transfer Function (MTF) is essential for Synthetic
Aperture Radar (SAR) wave spectra retrieval. This study aimed to investigate the …

[HTML][HTML] Multiparametric sea state fields from synthetic aperture radar for maritime situational awareness

A Pleskachevsky, B Tings, S Wiehle, J Imber… - Remote Sensing of …, 2022 - Elsevier
This paper introduces a method for estimating a series of sea state parameters from satellite-
borne synthetic aperture radar (SAR). The method was realized in a near real time (NRT) …

Xihe: A data-driven model for global ocean eddy-resolving forecasting

X Wang, R Wang, N Hu, P Wang, P Huo… - arXiv preprint arXiv …, 2024 - arxiv.org
The leading operational Global Ocean Forecasting Systems (GOFSs) use physics-driven
numerical forecasting models that solve the partial differential equations with expensive …

Combining ERA5 data and CYGNSS observations for the joint retrieval of global significant wave height of ocean swell and wind wave: a deep convolutional neural …

J Bu, K Yu, J Ni, W Huang - Journal of Geodesy, 2023 - Springer
As an emerging remote sensing technology, GNSS reflectometry (GNSS-R) has been widely
investigated for retrieving ocean parameters including ocean significant wave height (SWH) …

Measurement of sea waves

GB Rossi, A Cannata, A Iengo, M Migliaccio… - Sensors, 2021 - mdpi.com
Sea waves constitute a natural phenomenon with a great impact on human activities, and
their monitoring is essential for meteorology, coastal safety, navigation, and renewable …

Satellite altimetry: Achievements and future trends by a scientometrics analysis

L Yang, L Lin, L Fan, N Liu, L Huang, Y Xu… - Remote Sensing, 2022 - mdpi.com
Scientometric reviews, facilitated by computational and visual analytical approaches, allow
researchers to gain a thorough understanding of research trends and areas of concentration …

Significant wave height retrieval using XGBoost from polarimetric Gaofen-3 SAR and feature importance analysis

T Song, Q Yan, C Fan, J Meng, Y Wu, J Zhang - Remote Sensing, 2022 - mdpi.com
Empirical algorithms have become the mainstream of significant wave height (SWH)
retrieval from synthetic aperture radar (SAR). But the plentiful features from multi …