Improving the RST-OIL Algorithm for Oil Spill Detection under Severe Sun Glint Conditions

Oil Spill Detection in Glint-Contaminated Near-Infrared MODIS Imagery

We present a methodology to detect oil spills using MODIS near-infrared sun glittered radiance imagery. The methodology was developed by using a set of seven MODIS images (training dataset) and validated using four other images (validation dataset). The method is based on the ratio image R = L'GN/LGN, where L'GN is the MODIS-retrieved normalized sun glint radiance image and LGN the same quantit...

Analysis of Hyperspectral Imagery for Oil Spill Detection Using SAM Unmixing Algorithm Techniques

Oil spill is one of major marine environmental challenges. The main impacts of this phenomenon are preventing light transmission into the deep water and oxygen absorption, which can disturb the photosynthesis process of water plants. In this research, we utilize SpecTIR airborne sensor data to extract and classify oils spill for the Gulf of Mexico Deepwater Horizon (DWH) happened in 2010. For t...

Interferometric oil-spill detection system

Uen-Chin Liang National Tsinghua University Department of Atomic Science Hsinchu 30043, Taiwan Abstract. Oil spillage in a body of water has been of great environmental concern. We present in this paper an automatic oil-spill detection system, which employs thin-film and wavefront-splitting interference techniques to determine the existence of surface oil or oil drops in water. Two independent ...

Oil spill detection by satellite SAR

The Gulf oil spill.

From the Department of Environmental and Occupational Health, University of Pittsburgh Graduate School of Public Health, Pittsburgh (B.D.G.); and the Department of Psychiatry, Louisiana State University Health Sciences Center (H.J.O.); and the Department of Environmental Health Sciences, Tulane University School of Public Health and Tropical Medicine (M.Y.L.) — both in New Orleans. Address repr...