This study evaluates the performance of three typical convolutional neural network based
deep learning algorithms for oil spill detection using medium-resolution optical satellite …

The Geostationary Orbiting Satellite (GOS) offers extensive opportunities for the study of
oceanic internal waves (IWs) through high-frequency observations. In this study, the spatial …

The research frontiers of radiative transfer (RT) in coupled atmosphere-ocean systems are
explored to enable new science and specifically to support the upcoming Plankton, Aerosol …

Oil spills lead to catastrophic problems. In most oil spill cases, the spatial and temporal
intractability of the detriment cannot be neglected, and problems related to economic, social …

During the weathering of marine-spilled oils, various types of oil pollution are formed that
can harm marine and coastal environments. Thus, the remote detection, classification and …

Airborne measurements of the linear polarization state of light were carried out over coastal
and open ocean conditions to study aerosol and water column properties and investigate …

The ability to detect oil spills remotely is important in marine environmental monitoring. The
optical polarization remote sensing has the unique advantage of inversion of refractive index …

Earth observing systems have proven to be a unique source of long-term synoptic
information on numerous physical, chemical and biological parameters on a global scale …

Water bodies are critical to the environment, providing numerous ecological benefits;
however, human activities increasingly threaten their quality. Natural water systems exhibit …

To infer atmospheric and oceanic constituent properties from polarimetric observations, an
efficient and accurate retrieval algorithm is desirable. In-line radiative transfer calculations …