Oceans cover approximately 71% of the Earth's surface and provide numerous services to
the environment and humans. Precise, real-time, and large-scale monitoring of the …

We present an empirical C-band Cross-Polarization Ocean (C-2PO) model for wind
retrievals from synthetic aperture radar (SAR) data collected by the RADARSAT-2 satellite …

This paper represents a consensus on the state-of-the-art in wind retrieval using synthetic
aperture radar (SAR), after the SEASAR 2012 workshop “Advances in SAR Oceanography” …

We present an efficient algorithm for retrieving the ocean-surface wind vector from C-band
Radar Satellite RADARSAT-2 fully polarimetric synthetic aperture radar (SAR) …

A hybrid backscattering model is built to provide a consistent description for C-band VH-and
VV-polarized normalized radar cross sections (NRCSs). Ocean surface coand cross …

In this paper, we perform a comparison of wind speed measurements from the ENVISAT
Advanced Synthetic Aperture Radar (ASAR), the MetOp-A Advanced Scatterometer …

The purpose of this study is to include rain effects in wind field retrieval from C-band
synthetic aperture radar (SAR) imagery collected under tropical cyclone conditions. An …

A new geophysical model function (GMF), called C_SARMOD2, has been developed to
relate high-resolution C-band normalized radar cross section (NRCS), acquired in VV …

This study presents a new approach for retrieving hurricane surface wind vectors utilizing C-
band dual-polarization (VV, VH) synthetic aperture radar (SAR) observations. The …

In this work, three types of machine learning algorithms are applied for synthetic aperture
radar (SAR) wind retrieval in tropical cyclones (TCs), and the optimal method is confirmed. In …