Dataset for: Classification of oil spill by thicknesses using multiple remote sensors

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.