海洋溢油污染是海洋环境监测的重点对象。溢油在迁移转化过程中，会形成海面油膜、油水混合物与黑色浮油等污染类型，危害会进一步扩散并加剧。识别与估算这些溢油污染具有重要的意义，有助于溢油回收处理方法的选取，损失评估与索赔。不同厚度海面油膜、不同浓度油水混合物与不同粘稠度黑色浮油对入射光的反射、折射、透射与散射作用各不相同，因此这些典型溢油污染的光谱响应特征差异明显。高光谱遥感技术具有识别地物精细光谱的优势，已经在海洋溢油遥感研究中发挥了重要作用，但典型溢油污染的光谱响应机理研究尚不完善。本项目选取典型原油与船用重柴油，设计海面油膜、油水混合物与黑色浮油的高光谱遥感实验，测量相关理化与光学参数，着重分析典型溢油污染的精细光谱响应特征及其变化规律，研究典型溢油污染的反射光谱响应机理，并基于辐射传输理论，构建典型溢油污染的定量遥感反演模型，为海洋溢油污染的高光谱遥感研究与应用奠定方法与理论基础。

Marine oil spill pollution is the major monitoring object in ocean environment. Different oil spill pollution types, such as oil slicks, oil-water mixture and black floating oil, could be produced in the oil transport and weathering processes and brought more damage to ocean environment. Identifying and estimating these marine oil spill types would help to oil spill recovery processing method selection, valuation of loss and claim indemnity. The light reflection, transmission, refraction and scattering effects of oil slick, oil-water mixture and black floating oil are difference. Therefore, the spectral response characteristics of these oil spill pollution types are difference. Hyperspectral remote sensing technology has the advantage of fine spectrum feature recognition, and played an important role in marine oil spill remote sensing research. However, the researches of hyperspectral response mechanism of these pollution types are still not perfect. In this project, marine diesel oil and crude oil would be used to simulate the oil slick with different thickness, the oil-water mixture with different concentration and the black floating oil with different viscosity in experiments. The spectral reflectance, physical and chemical parameters and some optics parameters of these samples should be collected and used to analyze the hyperspectral response characteristics, mechanism and changing rules of different oil spill pollution types. Based on optical radiation transmission analysis, some quantitative hyperspectral remote sensing models should be built by us for oil spill volume estimating. This research will improve oil spill optical remote sensing and provide more theory and method reference for future research.