Abstract
In this dataset, we used a multi-sensor day and night satellite approach to track the SANCHI oil tanker collision and oil spill event in January 2018 in the East China Sea. The drifted on fire oil tanker was tracked by Visible Infrared Imaging Radiometer Suite (VIIRS) Nightfire product and Day/Night Band (DNB) imagery. Such pathway and locations were also reproduced with a numerical model, with RMS error of < 15 km. MultiSpectral Instrument (MSI) optical imagery during daytime shows smokes on 13 January 2018, further confirms the drifted tanker location. MSI imagery after 4 days of the tanker’s sinking (18 January 2018) reveals oil on the ocean surface to the east and northeast of the tanker sinking location. This combination of all available remote sensing and modeling techniques can provide effective means to monitor marine accidents and oil spills to assist event response.
Purpose
This dataset was used to track the SANCHI oil tanker collision and oil spill event in January 2018 in the East China Sea from a multi-sensor day and night satellite approach.
Keywords
oil spill, SANCHI, VIIRS Nightfire, VIIRS Day/Night Band, remote sensing, Sentinel, MultiSpectral Instrument, MSI, HYCOM, Rayleigh-corrected reflectance, Rrc
UDI
R4.x267.000:0101
Date
3-11-2018 12:00 AM
Point of Contact
Sun, Shaojie
University of South Florida
College of Marine Science
140 7th Ave South
St. Petersburg , FL 33701
USA
suns@mail.usf.edu
Funding Source
RFP-IV
Start of Data Collection
1-7-2018
End of Data Collection
1-18-2018
DOI
https://doi.org/10.7266/N7639N85
Rights Information
This work is licensed under a
Creative Commons Public Domain Dedication 1.0 License.
Scholar Commons Citation
Sun, Shaojie, "Dataset for: Tracking an Oil Tanker Collision and Spilled Oils in the East China Sea Using Multisensor Day and Night Satellite Imagery" (2018). C-IMAGE data. 33.
https://digitalcommons.usf.edu/cimage_data/33
Comments
Data and metadata is made available by the Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC) through a CC0 license in compliance with the Gulf of Mexico Research Initiative (GoMRI). The original dataset landing pages may be accessed at GRIIDC’s dataset monitoring webpage.
Data users are encouraged to contact the originating investigator prior to data use and provide appropriate credit.