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Oil spill mapping using multi-sensor Sentinel data in Balikpapan Bay, Indonesia

机译:使用多传感器哨兵数据在印度尼西亚巴厘巴板湾进行溢油制图

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Oil spill is one of major environmental problem. The event often followed by deterioration of environmental quality, serious pollution problem and destruction of wildlife habitat in the surrounding of the coastal area. A reliable method to map and monitor the oil spill event become a crucial measure to determine the effective contingency plan. In this work, we examine the spreading and movement of the oil spill in Balikpapan Bay that was occurred on April 2018, using multi-sensor Sentinel data which are provided openly by the European Space Agency. Combination of data from Sentinel 1 and Sentinel 2 are used to classify the oil slick occurrence on the ocean's surface. Using both 1) Synthetic Aperture Radar (SAR) technique for the data from Sentinel 1B and 2) modified moisture index for optical sensor data from Sentinel 2A-2B, we confirm consistent detection of the oil slick at the observed area.
机译:漏油是主要的环境问题之一。该事件通常导致环境质量恶化,严重的污染问题以及沿海地区周围野生动植物栖息地的破坏。绘制和监控漏油事件的可靠方法成为确定有效应急计划的关键措施。在这项工作中,我们使用欧洲航天局公开提供的多传感器Sentinel数据,研究了2018年4月在Balikpapan湾发生的漏油事件的蔓延和移动情况。来自Sentinel 1和Sentinel 2的数据的组合用于对海洋表面浮油的发生进行分类。使用1)合成孔径雷达(SAR)技术处理来自Sentinel 1B的数据和2)修改湿度指数以获取来自Sentinel 2A-2B的光学传感器数据,我们确认在观察区域对油浮性的检测是一致的。

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