GOM OI Imagery 2016-11-14 RGB

These data were collected as part of the National Oceanic and Atmospheric’s (NOAA) DWH Lessons Learned Studies: Detection of Oil Thickness and Emulsion Mixtures using Remote Sensing Platforms study on methods to estimate oil slick coverage and thickness. The Team developed methods for synoptic collection of satellite imagery, airborne imagery, surface oil characterization, oil and water chemist...

本数据集系美国国家海洋和大气管理局（NOAA）深海溢油事故教训学习研究项目的一部分，具体针对利用遥感平台检测油膜厚度及乳化混合物的方法，旨在估算油膜覆盖面积和厚度。研究团队针对卫星影像、航空影像的综观性收集，水面油质特征，以及油水化学性质等方面的方法进行了开发。