GOM OI - Flight Trackline 2017-04-26

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）DWH经验教训研究项目的一部分，旨在通过遥感平台检测油膜厚度和乳状混合物的方法研究，以评估油污覆盖面积及厚度。研究团队开发了卫星图像、航空图像的总体收集方法，以及表面油污特征、油水化学性质的表征技术。