Abstract
This dataset contains Rayleigh corrected reflectance data from 19 MODIS images collected between April and July 2010, along with their corresponding maps of surface oil volume, maps of relative oil thickness of different classes, and maps of probability distributions of different thicknesses. Surface oil was estimated by spatially scaling up AVIRIS observations to synoptic MODIS measurements, which were the used to derived oil classification and probability maps.
Purpose
To estimate the oil present at the ocean surface using different methods.
Keywords
Deepwater Horizon, oil spill, slick thickness, oil volume, MODIS, AVIRIS
UDI
R4.x267.180:0026
Date
6-14-2017 12:00 AM
Point of Contact
Hu, Chuanmin
University of South Florida
College of Marine Science
140 7th Ave South
St. Petersburg , FL 33701
USA
huc@usf.edu
Funding Source
RFP-IV
Start of Data Collection
4-25-2010
End of Data Collection
7-21-2010
DOI
https://doi.org/10.7266/N7RJ4GGB
Rights Information
This work is licensed under a
Creative Commons Public Domain Dedication 1.0 License.
Scholar Commons Citation
Hu, Chuanmin and Feng, Lian, "Remote Sensing Estimation of Surface Oil Volume During the 2010 Deepwater Horizon Oil Blowout in the Gulf of Mexico: Scaling up AVIRIS Observation with MODIS Measurements" (2017). C-IMAGE data. 56.
https://digitalcommons.usf.edu/cimage_data/56
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.