NASA Dryden Flight Research Center, P.O. Box 273, Edwards, CA 93523, USA.
Mar Pollut Bull. 2012;65(1-3):23-7. doi: 10.1016/j.marpolbul.2011.08.042. Epub 2011 Sep 21.
At-sea detection of marine debris presents a difficult problem, as the debris items are often relatively small and partially submerged. However, they may accumulate in water parcel boundaries or eddy lines. The application of models, satellite radar and multispectral data, and airborne remote sensing (particularly radar) to focus the search on eddies and convergence zones in the open ocean appear to be a productive avenue of investigation. A multistage modeling and remote sensing approach is proposed for the identification of areas of the open ocean where debris items are more likely to congregate. A path forward may best be achieved through the refinement of the Ghost Net procedures with the addition of a final search stage using airborne radar from an UAS simulator aircraft to detect zones of potential accumulation for direct search. Sampling strategies, direct versus indirect measurements, remote sensing resolution, sensor/platform considerations, and future state are addressed.
海上的海洋垃圾检测是一个难题，因为这些垃圾通常比较小，并且部分被淹没。然而，它们可能会在水体边界或漩涡线上聚集。应用模型、卫星雷达和多光谱数据以及机载遥感（特别是雷达），将搜索重点集中在开阔海域的漩涡和汇聚区上，这似乎是一个富有成效的研究途径。本文提出了一种多阶段建模和遥感方法，用于识别海洋垃圾更有可能聚集的区域。通过改进幽灵网程序，并增加最后一个使用 UAS 模拟器飞机上的机载雷达进行搜索的阶段，以检测潜在的聚集区域，直接搜索，可能是实现这一目标的最佳途径。本文还讨论了采样策略、直接测量与间接测量、遥感分辨率、传感器/平台的考虑因素以及未来的发展方向。
