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 …

Over 70% of the earth's surface is covered by oceans; globally, oceans provides a huge
source of wealth to humans. In the literature, several sensors have been developed to …

Estimating high-resolution ocean subsurface temperature has great importance for the
refined study of ocean climate variability and change. However, the insufficient resolution …

Subsurface ocean measurements are extremely sparse and irregularly distributed,
narrowing our ability to describe deep ocean processes and thus also limiting our …

Exploring methods to reconstruct the ocean interior from surface data is a crucial focus in the
study of ocean processes and phenomena due to the shortage of subsurface and deep‐sea …

The ability to model 4D properties of near-coast ocean regions in real time is valuable for
both general environmental monitoring and for specialized industry applications. We present …

Recently, the remarkable success of ChatGPT has sparked a renewed wave of interest in
artificial intelligence (AI), and the advancements in Vision–Language Models (VLMs) have …

In this study, we investigate the feasibility of using historical remote sensing data to predict
the future three-dimensional subsurface ocean temperature structure. We also compare the …

Estimating subsurface thermohaline structure from concurrent satellite data is a meaningful
way to enrich internal oceanic observations. As a powerful tool for data mining, many studies …

In the East China Sea (ECS), the sea surface salinity (SSS) changes as the Changjiang
Diluted Water (CDW) propagates toward the Korean Peninsula via the ocean current and …