The challenges of remotely measuring oil slick thickness

M Fingas - Remote sensing, 2018 - mdpi.com
The thickness of oil spills on the sea is an important but poorly studied topic. Means to
measure slick thickness are reviewed. More than 30 concepts are summarized. Many of …

Synergistic use of an oil drift model and remote sensing observations for oil spill monitoring

D De Padova, M Mossa, M Adamo… - … Science and Pollution …, 2017 - Springer
In case of oil spills due to disasters, one of the environmental concerns is the oil trajectories
and spatial distribution. To meet these new challenges, spill response plans need to be …

Ultrasonic measurement on the thickness of oil slick using the remotely operated vehicle (ROV) as a platform

H Du, D Yao, S Li, Q Zhang - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
An ultrasonic method was proposed to solve the problem of accurately measuring the
thickness of oil slick using a remotely operated vehicle (ROV) as a platform. The laboratory …

Reference spectral signature selection using density-based cluster for automatic oil spill detection in hyperspectral images

D Liu, J Zhang, X Wang - Optics express, 2016 - opg.optica.org
Reference spectral signature selection is a fundamental work for automatic oil spill
detection. To address this issue, a new approach is proposed here, which employs the …

[PDF][PDF] Spectral unmixing evaluation for oil spill characterization

V Karathanassi - Int. J. Remote Sens. Appl, 2014 - academia.edu
Hyperspectral remote sensing exploits the optical properties of materials and provides
detailed information about them. From a theoretical point of view, in case of oil spills, it …

Estimation of oil thickness and aging from hyperspectral signature

L Cong, B Nutter, D Liang - 2012 IEEE Southwest Symposium …, 2012 - ieeexplore.ieee.org
While remote detection of oil spills is well-studied, very little success has been reported in
estimation of thickness and aging of oil slicks. In this case study, spectral signatures (350 nm …

Research on Hyperspectral Unmixing Oil Spill Monitoring

C Cui, Y Li, HJ Chen, BX Liu, J Xu… - 2nd 2016 International …, 2016 - atlantis-press.com
Hyperspectral unmixing is an important technique for hyperspectral image analysis. In this
paper, we took Airborne Visible Infrared Imaging Spectrometer (AVIRIS) hyperspectral …

Comparison of linear and non-linear feature extraction on vegetation and oil spill hyperspectral images

A Ramirez-Aguilar - 2015 - tamucc-ir.tdl.org
A hyperspectral image provides a multidimensional figure rich in data consisting of
hundreds of spectral dimensions. For this research, the method of analysis for a …