Abstract:
This dataset contains imagery and field data associated with the manuscript Garcia-Pineda et al., 2020. It includes high-resolution Synthetic Aperture Radar (SAR) from satellites and the Jet Propulsions Laboratory’s Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) instrument and multispectral satellite imagery that was processed to quantify oil thickness. Original imagery is not available in this dataset because they are proprietary, but the derived products are included. Original data used are listed in the shapefile of oil thickness. Also included in this dataset is the field data collected using an Analytical Spectral Device (ASD) field spectrometer and the oil thickness characteristics from the field. This dataset supports the publication: Garcia-Pineda, O., Staples, G., Jones, C.E., Hu, C., Holt, B., Kourafalou, V., Graettinger, G., DiPinto, L., Ramirez, E., Streett, D., Cho, J., Swayze, G.A., Sun, S., Garcia, D. and Haces-Garcia, F. (2020). Classification of oil spill by thicknesses using multiple remote sensors. Remote Sensing of Environment, 236, 111421. doi:10.1016/j.rse.2019.111421.
Suggested Citation:
Garcia-Pineda, Oscar. 2021. Dataset for: Classification of oil spill by thicknesses using multiple remote sensors. Distributed by: GRIIDC, Harte Research Institute, Texas A&M University–Corpus Christi. doi:10.7266/3AWQ7ZRC
Data Parameters and Units:
The dataset includes satellite and aerial images of the MC20 oil spill. These images are used for determining the oil thicknesses related to the different reflectance and backscattering properties of the oil. The images listed on the spreadsheet 'Imagery for classification of oil thickness' include Synthetic Aperture Radar (SAR) satellites RADARSAT-2, Sentinel-1, and TerraSAR-X, and optical satellites like Worldview and ASTER. The units for the aforementioned images are digital values representative of 'backscatter' for SAR satellites and 'intensity' of reflectance for optical satellites.
The dataset also includes a classification of the oil thickness derived from the satellite data in the form of a shapefile, 'Integrated_Model_WGS84.shp'. The unit of this classification is in microns (which is also embedded in the attributes of the shapefile). The units for the spectra of the emulsions are digital values related to the spectrometer, Analytical Spectral Device [ASD 18011-6].
Methods:
Satellite Synthetic Aperture Radar (SAR) and optical data were transformed into 'backscatter' for SAR satellites and 'intensity' of reflectance for optical satellites. These data were then used to create a classification of oil thickness from the in situ data collected in the field. For more detailed methods, please refer to the associated publication Garcia-Pineda et al., 2020.
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