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  • 标题:Optical Remote Sensing of Oil Spills in the Ocean: What Is Really Possible?
  • 本地全文:下载
  • 作者:Chuanmin Hu ; Yingcheng Lu ; Shaojie Sun
  • 期刊名称:Journal of Remote Sensing
  • 电子版ISSN:2694-1589
  • 出版年度:2021
  • 卷号:2021
  • DOI:10.34133/2021/9141902
  • 语种:English
  • 出版社:American Association for the Advancement of Science (AAAS)
  • 摘要:Optical remote sensing (ORS) of reflected sun light has been used to assess oil spills in the ocean for several decades. While most applications are toward simple presence/absence detections based on the spatial contrast between oiled water and oil-free water, recent advances indicate the possibility of classifying oil types and quantifying oil volumes based on their spectral contrasts with oil-free water. However, a review of the current literature suggests that there is still confusion on whether this is possible and, if so, how. Here, based on the recent findings from numerical models, laboratory measurements, and applications to satellite or airborne imagery, we attempt to clarify this situation by summarizing (1) the optics behind oil spill remote sensing, and in turn, (2) how to interpret optical remote sensing imagery based on optical principles. In the end, we discuss the existing limitations and challenges as well as pathways forward to advance ORS of oil spills.
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