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 …

Remote sensing is the technique of acquiring data from the earth's surface from sensors
installed on satellites or on manned or unmanned aircrafts. Its use is common in dozens of …

When wind speeds are 2–10 ms− 1, reflective contrasts in the ocean surface make oil slicks
visible to synthetic aperture radar (SAR) under all sky conditions. Neural network analysis of …

Two object-based image analysis methods are developed for detecting oil spills from known
natural outflows as well as light oil spill events using Sentinel 2 imagery. The methods are …

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 …

Detecting oil spills in marine environments is crucial for avoiding environmental damage
and facilitating rapid response efforts. In this study, we propose a robust method for oil spill …

A multi-mission satellite remote sensing (MSRS) approach is explored to detect and track
leaked oil from the Sabiti oil tanker accident that occurred in the central Red Sea on 11 …

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 …

Red Sea is one of the world's major strategic shipping routes for crude oil transportation.
Accidental spills of crude oil into the environmentally sensitive marine environments are …

Scale is a critical factor when studying patterns and the processes that cause them. A variety
of approaches have been used to define the concept of scale, but confusion and ambiguities …