Department of Geomatics Engineering, Cukurova University, Ceyhan Campus, 01950, Ceyhan, Adana, Turkey.
Environ Monit Assess. 2018 Oct 18;190(11):637. doi: 10.1007/s10661-018-7017-4.
Environmental pollution and disasters have gradually increased with the growth of the population. Surveillance of the effects of these incidents is very important for public health. Satellite missions are a very efficient tool for identifying pollutants such as oil spills. The synthetic aperture radar (SAR) sensor is an active microwave sensing system that can be used for oil spill applications with optical sensors mounted on Landsat 8, Sentinel 2, and Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) satellite systems taking into account cloud coverage and revisiting time of the satellite at the same location. In this study, the oil spill area caused by a ship running aground at 13:40 local time (LT) on 18 December 2016 was studied on the coast of Ildır Bay (Izmir, Turkey) with Sentinel 1 SAR and Landsat 8 multispectral sensors. Different image-processing techniques were applied to Landsat 8 bands such as minimum noise fraction (MNF), morphology, and convolution filters in order to highlight the oil spill area related to the incident. In the detection stage, oil slicks and look-alikes were successfully distinguished by analyzing the SAR data with Landsat 8 results and the location of the ship. With the visual interpretation of the results, the selected techniques are consistent with each other in terms of showing oil spill areas.
随着人口的增长，环境污染和灾害逐渐增加。对这些事件的影响进行监测对公共卫生非常重要。卫星任务是识别溢油等污染物的非常有效的工具。合成孔径雷达 (SAR) 传感器是一种主动微波感测系统，可与安装在 Landsat 8、Sentinel 2 和高级星载热发射和反射辐射计 (ASTER) 卫星系统上的光学传感器一起用于溢油应用，同时考虑到云层覆盖和卫星在同一位置的重访时间。在这项研究中，研究了 2016 年 12 月 18 日当地时间 13:40 一艘船在伊尔德尔湾（土耳其伊兹密尔）搁浅造成的溢油区域，使用了 Sentinel 1 SAR 和 Landsat 8 多光谱传感器。为了突出与事件相关的溢油区域，对 Landsat 8 波段（如最小噪声分数 (MNF)、形态和卷积滤波器）应用了不同的图像处理技术。在检测阶段，通过分析 SAR 数据与 Landsat 8 结果和船舶位置，成功区分了油膜和相似物。通过对结果的目视解释，所选技术在显示溢油区域方面是一致的。
