Results 61 to 70 of about 42,245 (206)

Automated Oil Spill Detection System

International Journal For Multidisciplinary Research
The integration of artificial intelligence, satellite remote sensing, and vessel tracking technologies has revolutionized oil spill detection, enabling real-time monitoring and rapid response. However, traditional detection methods based on manual surveillance [1], leading to delays and increased environmental damage.
Akash Balsaraf, Mangesh Ambekar, Harshada Kokate, Atul Ghadge, Pritam Ghorpade, Madhvi Patil   +5 more
openaire   +1 more source

Investigating SAR algorithm for spaceborne interferometric oil spill detection [PDF]

, 2016
The environmental damages and recovery of terrestrial ecosystems from oil spills can last decades. Oil spills have been responsible for loss of aquamarine lives, organisms, trees, vegetation, birds and wildlife. Although there are several methods through
Ceriotti, Matteo, Lawal, Abdul Duane, Makarfi, Abubakar Umar, Radice, Gianmarco   +3 more
core  

Offshore Petroleum Leaking Source Detection Method From Remote Sensing Data via Deep Reinforcement Learning With Knowledge Transfer

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
A marine oil spill is an environmental pollution incident that generally has the attributes of a high speed, widespread, and long duration. It seriously threatens the marine ecological environment and related industries.
Yuewei Wang, Lizhe Wang, Xiaodao Chen, Dong Liang   +3 more
doaj   +1 more source

Quantifying microbial utilization of petroleum hydrocarbons in salt-marsh sediments using the ^(13)C content of bacterial rRNA [PDF]

, 2007
Natural remediation of oil spills is catalyzed by complex microbial consortia. Here we take a whole-community approach to investigate bacterial incorporation of petroleum hydrocarbons from a simulated oil spill.
Dekas, Anne E., Edwards, Katrina J., Kraunz, Kimberly S., Leavitt, William R., Pearson, Ann, Sessions, Alex L.   +5 more
core   +5 more sources

DUAL-POLARIMETRIC DECOMPOSITION OF SENTINEL-1 SAR IMAGE AND MACHINE LEARNING MODEL FOR OIL SPILL DETECTION: CASE OF MINDORO OIL SPILL [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Oil spills represent a significant environmental hazard necessitating timely detection to mitigate their detrimental effects. Synthetic Aperture Radar (SAR) technology serves as a remote sensing (RS)-based tool capable of detecting oil spills under ...
C. G. Candido, C. G. Candido, J. A. Principe   +2 more
doaj   +1 more source

Development of GIS-Based Oil Spill Detection and Monitoring System [PDF]

, 2000
Geographical Information System (GIS) and remote sensing technologies were used to develop a GIS-based Oil Spill Detection and Monitoring System in this study. The system can be used to manage, identify, and predict oil movement when there is an incident
Tee, Tuan Poy
core  

On the Features Extracted From Dual-Polarized Sentinel-1 Images for Deep-Learning-Based Sea Surface Oil-Spill Detection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
This study comprehensively investigates the effects of the oil-spill features extracted from dual-polarized Sentinel-1 images on oil-spill detection by using the DeepLabv3+ model, aiming at providing a constructive reference in the selection of ...
Jiaxing Tong, Dengfeng Xie
doaj   +1 more source

Laboratory measurements of high-frequency, acoustic broadband backscattering from sea ice and crude oil [PDF]

, 2014
Recent decreases in summer sea ice cover are spurring interest in hydrocarbon extraction and shipping in Arctic waters, increasing the risk of an oil spill in ice covered waters.
Andone C. Lavery, Christopher Bassett, Jeremy P. Wilkinson, Karlsson J., Kovacs A., National Research Council, Ted Maksym   +6 more
core   +2 more sources

Leveraging Radar and VTS for Enhanced Oil Spill Detection [PDF]

TransNav
The Norwegian Clean Seas Association for Operating Companies (NOFO) conducted oil-on-water exercises in 2018 to evaluate new oil spill response technologies, including advanced radar systems.
Michele Fiorini, Roberto Trevisani
doaj   +1 more source

Photoacoustic detection and monitoring of oil spill [PDF]

AIP Conference Proceedings, 2019
The detection and monitoring of oil spills in marine environment are crucial to respond rapidly and efficiently and it is especially important in ice-covered areas. Detection and quantitative characterization of the affected areas as well as monitoring of remediation measures are critical for optimized cleaning operation and minimal environment impact.
Bescond, Christophe, Krüger, Silvio E., Levesque, Daniel, Brosseau, Charles   +3 more
openaire   +2 more sources