Spectral variability of oil slicks under different observing conditions derived from satellite and airborne optical remote sensing

In this dataset, we present the spectral variability of oil slicks under different observing conditions using MODIS (Moderate Resolution Imaging Spectroradiometer), MERIS (Medium Resolution Imaging Spectrometer), MISR (Multi-angle Imaging SpectroRadiometer), Landsat 7 Enhanced Thematic Mapper Plus (ETM+) and AVIRIS (Airborne Visible/ Infrared Imaging Spectrometer). Optical remote sensing is commonly used to detect oil in the surface ocean due to the spectral differences between oil and water, allowing to modulate oil–water spatial and spectral contrasts. However, understanding these contrasts is challenging because of variable results from laboratory and field experiments, as well as different observing conditions and spatial/spectral resolutions of remote sensing imagery. A multistep scheme is proposed to classify oil type (emulsion and non-emulsion) and to estimate relative oil thickness for each type based on the known optical properties of oil, with sample results from AVIRIS and MODIS imagery provided in the dataset. This dataset supports the publication: Sun, S., & Hu, C. (2018). The Challenges of Interpreting Oil-Water Spatial and Spectral Contrasts for the Estimation of Oil Thickness: Examples From Satellite and Airborne Measurements of the Deepwater Horizon Oil Spill. IEEE Transactions on Geoscience and Remote Sensing, 1–16. doi:10.1109/tgrs.2018.2876091本数据集呈现了采用MODIS（中分辨率成像光谱仪，Moderate Resolution Imaging Spectroradiometer）、MERIS（中等分辨率成像光谱仪，Medium Resolution Imaging Spectrometer）、MISR（多角度成像光谱辐射计，Multi-angle Imaging SpectroRadiometer）、Landsat 7增强型专题制图仪（ETM+）以及AVIRIS（航空可见光/红外成像光谱仪，Airborne Visible/ Infrared Imaging Spectrometer）等传感器，在不同观测条件下获取的海面浮油光谱变异性数据。光学遥感通常借助油类与海水的光谱差异探测海洋表面浮油，进而可调控油-水的空间与光谱对比度。然而，由于实验室与野外实验结果存在差异，加之遥感影像的观测条件、空间与光谱分辨率各不相同，理解此类对比度颇具挑战。本研究提出一套多步骤方案，基于已知的油类光学特性对浮油类型（乳化型与非乳化型）进行分类，并估算每种类型的相对油膜厚度，数据集附带了来自AVIRIS与MODIS影像的样本结果。本数据集支撑以下学术出版物：Sun, S., & Hu, C. (2018). 《解读油-水空间与光谱对比度以估算浮油厚度所面临的挑战：基于深水地平线漏油事件卫星与航空测量数据的示例》. IEEE地球科学与遥感汇刊, 1–16. doi:10.1109/tgrs.2018.2876091