基于Sentinel-2卫星数据的溢油指数(OSI):国际贡献中的QU

S. Rajendran, A. Fahad, FN Sadooni, Has Al-Kuwari, P. Vethamony, O. Anisimov, S. Nasir, J. Al-Khayat, H. Govil, VO Seegobin
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引用次数: 0

摘要

开发了溢油指数(OSI = (B3+B4)/B2),并将其应用于欧洲空间局(ESA) Sentinel-2光学卫星数据,利用Sentinel-2光谱带的光谱吸收特征绘制海洋溢油地图。OSI及其衍生指数的潜在应用[j]。(5+6)/7,(3+4)/2,(11+12)/8和ii。将3/2、(3+4)/2、(6+7)/5]应用于2020年8月6日发生在印度洋毛里求斯和2020年5月29日发生在俄罗斯诺里尔斯克地区的漏油事故中,并将结果发表在同行评审的研究期刊上。最近(2021年8月19日),我们的方法得到了Sentinel-Hub(自定义脚本库)https://custom-scripts.sentinel-hub.com/sentinel-2/oil-spill-index/的认可,用于OSI计算。我们用事件中拍摄的无人机图像验证了遥感结果。我们的OSI指数是第一个应用于Sentinel-2光学数据来绘制石油泄漏地图的。我们证明了指数的潜力和哨兵传感器在探测、绘制地图、监测和评估溢油方面的能力,这可以用于溢油应急准备。
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Oil Spill Index (OSI) to Sentinel-2 Satellite Data: QU in International Contribution
An Oil Spill Index (OSI = (B3+B4)/B2) was developed and applied to Sentinel-2 optical satellite data of the European Space Agency (ESA) to map marine oil spills using spectral absorption characters of spectral bands of the Sentinel-2. The potential application of OSI and derived indices [i. (5+6)/7, (3+4)/2, (11+12)/8 and ii. 3/2, (3+4)/2, (6+7)/5] were demonstrated to the oil spills that occurred off Mauritius, Indian Ocean, on August 06, 2020, and Norilsk region, Russia on May 29, 2020, and the results were published in the peer-reviewed research journals. Recently (August 19, 2021), our methodology was recognized by the Sentinel-Hub (a repository of custom scripts) https://custom-scripts.sentinel-hub.com/sentinel-2/oil-spill-index/ for OSI calculation. We validated the remote sensing results with the drone images taken during the incident. Our OSI index is the first to be applied to Sentinel-2 optical data to map oil spills. We proved the potential of indices and the capability of Sentinel sensors to detect, map, monitor, and assess the oil spill, which can be used for emergency preparedness of oil spills.
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