A set of new eyes to detect oil spills in harbours and coastal areas

The IMPRESSIVE project has developed a brand-new solution specifically for their needs, combining Copernicus satellite data with hydrodynamic modelling and ...

A Bird's Eye View: Looking for Oil Spills from the Sky

Aerial overflights are surveys from airplanes or helicopters which help responders find oil slicks as they move and break up across a potentially wide expanse ...

TECHNOLOGY USED TO INVESTIGATE OIL SPILLS

Technology continues to evolve and help scientists test, discover, and view the environment from different perspectives. ... (2014) Ocean eye oil spill aerial ...

Oil spills | SAR data | ICEYE

Detect and respond to marine oil spills & oil seeps. Rapidly react to oil pollution in coastal waters and vast sea areas far from the shore.

In Situ Sensor for the Detection of Oil Spill in Seawater Using ... - MDPI

Nearly 30% of oil drilled globally is done offshore. Oil spillage offshore has far-reaching consequences on the environment, aquatic lives, ...

Aerial observation of oil spills at sea - OSPRI

international borders, focusing down to different areas of potentially affected sea and coastline, ... coast are very difficult to identify from aircraft, ...

Detection of Marine Oil Spills Based on HOG Feature and SVM ...

We use UAV equipped with thermal infrared sensors to realize all-weather identification of marine oil spill accidents in the offshore area and ...

3 New Advances In Oil Spill Detection

Fast detection of oil spills is crucial for mitigating damage to communities and coastal environments, as well as for protecting vessel ...

A timely and accurate approach to nearshore oil spill monitoring ...

Various studies have explored the application of machine learning and satellite imagery to the detection and distinguishing of oil spills.

How Satellite Technology Pioneered During Deepwater Horizon ...

SAB also implemented routine monitoring of U.S. waters to detect accidental and intentional oil discharges. Peering down from satellites allows ...

Using space-based technologies to monitor marine oil pollution

Firstly, the contrast between oil and water is detected because oil reflects light differently than normal ocean surface waters; oil spills may ...

Eye in the sky on reef pollution - CSIRO

Spotting an oil spill in a 2,300 km long marine park is no easy task, but new remote sensing technology is set to change that. Contact. Share.

Full article: A near real-time automated oil spill detection and early ...

The ecological and environmental impact of marine oil pollution underlines the importance and necessity of an oil spill surveillance system.

A new oil spill detection algorithm based on Dempster-Shafer ...

The process of oil spill detection taking account of environmental factors was modeled using the subjective Bayesian model. The Faster-region ...

Oil spill detection and classification through deep learning and ...

This method relies on satellite images, radar imagery, or aerial photographs to monitor and identify oil spills in the sea (Yekeen et al., 2020, Li et al., 2021) ...

Camera spots hidden oil spills and may find missing planes

One major source is illegal dumping of oil in harbours when ships empty their bilges, typically at night to avoid detection. However, a new kind ...

Remote Sensing in Support of Oil Spill Response

Shoreline assessment and detection of small spills, especially those near coastal areas, usually require the higher resolution that lower altitude systems may ...

A near real-time automated oil spill detection and early warning ...

in 2019 located in this zone. Unlike the coastal area, which contained different sources of spills and look-alikes, oil spills away from the ...

Developing a Comprehensive Oil Spill Detection Model for Marine ...

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

A deep learning based oil spill detector using Sentinel-1 SAR imagery

To provide automatic detection of oil pollution from not only maritime accidents but also deliberate discharges in this region, a deep learning-based object ...