Knowledge of sea ice is critical for offshore oil and gas exploration, global shipping
industries, and climate change studies. During recent decades, Global Navigation Satellite …

In this paper, an effective schematic is developed for estimating soil moisture (SM) from
CYclone Global Navigation Satellite System (CYGNSS) data. Here, a three-layer model of …

In this paper, a framework that employs support vector machines (SVMs) is proposed for the
classification of TechDemoSat-1 delay-Doppler maps (DDMs), specifically, for separating …

This article presents two empirical models, the low wind bagged trees (LWBT) and high wind
bagged trees (HWBT) ensemble models to estimate ocean surface wind speed using …

This study proposes a significant wave height (SWH) retrieval method based on multi-
satellite observations using Global Navigation Satellite System Reflectometry (GNSS-R) …

Sea ice is an important component of the polar circle and influences atmospheric change.
Global navigation satellite system reflectometry (GNSS-R) not only realizes time-continuous …

In this paper, a framework that employs support vector regression (SVR) is proposed for
estimating sea ice concentration (SIC) from TechDemoSat-l (TDS-l) delay-Doppler maps …

Sea ice, a significant component in polar regions, plays a crucial role in climate change
through its varying conditions. In Global Navigation Satellite System-Reflectometry (GNSS …

Sea ice is regarded as an indicator of temperature change. In recent years, the spaceborne
Global Navigation Satellite System Reflectometry (GNSS-R) technology has made …

The statistical analysis of surface roughness has been applied based on the roughness
parameters calculated by the algorithms in spatial domain (SDAs). The morphological …