Determining oil slick thickness using hyperspectral remote sensing in the Bohai Sea of China
Determining oil slick thickness using hyperspectral remote sensing in the Bohai Sea of China
复制标题
利用高光谱遥感测定中国渤海浮油厚度
DOI：
10.1080/17538947.2012.695404
复制
发表时间：
2013-01-01
影响因子：
5.1
通讯作者：
Li, Xiang
中科院分区：
文献类型：
--
作者：
Lu, Yingcheng;Tian, Qingjiu;Li, Xiang
确定油脂厚度在评估溢油量及其对海洋的环境影响方面起着重要作用。在这项研究中，我们使用了在中国波海海收集的漏油事故区域和海水和新鲜原油样品的Hyperion图像。设计了良好的实验室实验，以模拟对不同油脂厚度的光谱响应。光谱重采样和归一化方法用于减少实验背景海水样品与真实背景海水之间光谱反射的差异。将分析与实验室实验数据结果拟合，表明归一化油脂反射率与归一化油光滑厚度之间存在线性关系[20频段（r 2 = 0.92938，n = 49，p
Abstract Determining oil slick thickness plays an important role in assessing oil spill volume and its environmental impacts on the ocean. In this study, we used a Hyperion image of an oil spill accident area and seawater and fresh crude oil samples collected in the Bohai Sea of China. A well-controlled laboratory experiment was designed to simulate spectral responses to different oil slick thicknesses. Spectral resampling and normalization methods were used to reduce the differences in spectral reflectances between the experimental background seawater sample and real background seawater. Fitting the analysis with laboratory experimental data results showed a linear relationship between normalized oil slick reflectance and normalized oil slick thickness [20th band (R 2=0.92938, n=49, p<0.01), 26th band (R 2=0.93806, n=49, p<0.01), 29th band (R 2=0.93288, n=49, p<0.01)]. By using these statistical models, we successfully determined the normalized oil slick thickness with the Hyperion image. Our results indicate that hyperspectral remote sensing technology is an effective method to monitor oil spills on water. The spectral ranges of visible green and red light were the optimal bands for estimating oil slick thickness in case 2 water. The high, stabilized spectral reflectance of background seawater will be helpful in oil slick thickness inversion.