Abstract:
One hundred and sixty-six Synthetic Aperture Radar (SAR) images collected from Radarsat-1, Radarsat-2, TerraSAR-X, CosmoSKY-MED 1-2-3-4, ENVISAT, ALSO01 and ERS02 satellites from April 23 to August 2, 2010, were analyzed to quantify the distribution of floating oil discharged from Deepwater Horizon (DWH). Raw satellite data were rendered into 8 and 16 -bit geotiff formats when required. The Texture Classifier Neural Network Algorithm (TCNNA) and Oil Emulsion Detection Algorithm (OEDA) were applied to identify the extent of floating oil sheen (~ 1 um) and the areas with thicker patches of emulsion (~ 70 um), respectively. The DWH data are gridded (5x5 km cells) and include the percentage of water covered by thick and thin oil, and the total percentage of water covered from April 24 to August 3 2010. Aerial dispersant (liters) and burning areas for cells are included. A subset of 60 SAR images were analyzed using the OEDA. The TCNNA was separately used to analyze 176 SAR images collected over the Gulf of Mexico prior to 2010. Data from prior to 2010 is presented as Google Earth map layers (KMZ) showing TCNNA outlines of oil slicks, oil slick origins, predicted seep zones and the average area of floating oil (10x10 km grid). This dataset supports the publications: D’souza, N. A., Subramaniam, A., Juhl, A. R., Hafez, M., Chekalyuk, A., Phan, S., … Montoya, J. P. (2016). Elevated surface chlorophyll associated with natural oil seeps in the Gulf of Mexico. Nature Geosci. doi:10.1038/ngeo2631; and MacDonald, I. R., Garcia-Pineda, O., Beet, A., Daneshgar Asl, S., Feng, L., Graettinger, G., … Swayze, G. (2015). Natural and unnatural oil slicks in the Gulf of Mexico. Journal of Geophysical Research: Oceans, n/a–n/a. doi:10.1002/2015jc011062
Suggested Citation:
MacDonald, Ian. 2019. Neural network analysis determination of oil slick distribution and thickness from satellite Synthetic Aperture Radar, April 24 - August 3, 2010. Distributed by: GRIIDC, Harte Research Institute, Texas A&M University–Corpus Christi. doi:10.7266/N7KW5CZN
Purpose:
This dataset was developed as part of a project to quantify the extent, magnitude, and movement of Deepwater Horizon (DWH) oil.
Data Parameters and Units:
Database S2A2 dataset.xls: PercentCover which is 6310 rows by 207 columns. Shows percentage of water covered by "thin" oil in each 5x5 km cell. This table includes cell_ID, distance from wellhead (m), long, lat, and 12-h percent cover from Apr24_12Z to Aug3_12Z. PercentThick which is 6310 rows by 207 columns. Shows percentage of water covered by "thick" oil in each 5x5 km cell. This table includes cell_ID, distance from wellhead (m), long, lat, and 12-h percent cover from Apr24_12Z to Aug3_12Z. Notes for Surface Corexit" which explains how estimated the daily volume (Liter) of dispersant in each cell. Surface Corexit (Liter)" which is 6310 rows by 59 columns. This table includes cell_ID, and surface dispersant daily volume from 4/22/2010 to 7/19/2010. Burning_PointBased: intersection of the burning points with cells. It is 62293 rows by 37 columns. This table includes cell_ID, and burning daily magnitude from 5/7/2010 12:00 to 7/19/2010 12:00. Burning_AreaBased: intersection of the burning buffer area with cells. It is 62293 rows by 37 columns. This table includes cell_ID, and burning daily magnitude from 5/7/2010 12:00 to 7/19/2010 12:00.
Database S2B2 dataset.xls: PercentCover which is 4947 rows by 207 columns. Shows percentage of water covered by "thin" oil in each 5x5 km cell. This table includes cell_ID, distance from wellhead (m), long, lat, and 12-h percent cover from Apr24_12Z to Aug3_12Z. PercentThick which is 4947 rows by 207 columns. Shows percentage of water covered by "thick" oil in each 5x5 km cell. This table includes cell_ID, distance from wellhead (m), long, lat, and 12-h percent cover from Apr24_12Z to Aug3_12Z. AverageNAMWind_48hHistory" which is 4947 rows by 106 columns. This table includes cell_ID, distance (m), long, lat, and average wind from 4/24/2010 12:00 to 8/3/2010 12:00.
Online_Database 2-Seep zones.kmz: A google earth dataset that shows the location of all oil slick origins and centroids of oil slick origins which are the predicted seafloor location of the oil slicks - described in MacDonald et al 2015 Natural and Unnatural oil slicks in the Gulf of Mexico.
ReadMe.txt: Includes the descriptions of all the files included in the dataset.
Table S2 final.xlsx: Metadata about the imagery from ERMA site that was used to develop database s2b2, s2a2 Dates of gridded daily and TCNNA composites, TCNNA Polygon filenames, Satellite, TCNNA Composite Filenames, Integrated Grid filenames, Satellite Image spatial resolution (m), incidence angles, Band, Frequency (Ghz) and Polarization.
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