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 …

Abstract Airborne Volatile organic compounds (VOCs) are known to have strong and
adverse impacts on human health and the environment by contributing to the formation of …

Oil spill detection has attracted increasing attention in recent years, since marine oil spill
accidents severely affect environments, natural resources, and the lives of coastal …

Effective marine oil spill management (MOSM) is crucial to minimize the catastrophic
impacts of oil spills. MOSM is a complex system affected by various factors, such as …

Widespread soil contamination threatens living standards and weakens global efforts
towards the Sustainable Development Goals (SDGs). Detailed soil mapping is needed to …

Although advancements in remote sensing technology have facilitated quick capture and
identification of the source and location of oil spills in water bodies, the presence of other …

Despite utilizing various remote sensing datasets, precise tree-cutting detection remains
challenging due to spatial and spectral resolution constraints in satellite imagery, complex …

Terrestrial oil spills are a major threat to environmental and human well-being. Rapid,
accurate, and remote spatial assessment of oil contamination is critical to implementing …

Oil spill monitoring in remote sensing field has become a very popular technology to detect
the spatial distribution of polluted regions. However, previous studies mainly focus on the …

Salt-affected soil is a prominent ecological and environmental problem in dry farming areas
throughout the world. China has nearly 9.9 million km 2 of salt-affected land. The …