Remote sensing technologies and machine learning (ML) algorithms play an increasingly
important role in accurate detection and monitoring of oil spill slicks, assisting scientists in …

Optical remote sensing (ORS) of reflected sun light has been used to assess oil spills in the
ocean for several decades. While most applications are toward simple presence/absence …

In this research, the hyperspectral imaging technique was employed to realize the rapid and
accurate detection of the reducing sugar and amino acid nitrogen contents of Daqu during …

An accurate identification of oil spill types is the basis of determining the source of leakage,
evaluating the potential damage, and deciding a plan of responses for an oil spill event …

Marine oil spills are an emergency of great harm and have become a hot topic in marine
environmental monitoring research. Optical remote sensing is an important means to …

Recently, hazardous cargo accidents such as those at Beirut and Tian** ports have raised
serious concerns over how high-risk cargoes should be handled. While the role of human …

Marine oil spills can damage marine ecosystems, economic development, and human
health. It is important to accurately identify the type of oil spills and detect the thickness of oil …

In recent years, there has been an increasing use of satellite sensors to detect and track oil
spills. The satellite bands, namely visible, short, medium infrared, and microwave radar …

Motorship wrecks on the seabed pose a serious threat to the marine environment due to oil
leaking from their fuel tanks. Such substances can penetrate the sediments and enter the …

Identifying the types of oil pollutants in a spill event can help determine the source of spill
and formulate the plan of emergency responses. Excitation-emission matrix (EEM), which is …