Optical Remote Sensing of Oil Spills in the Ocean: What Is Really Possible?
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 possibilit...
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doaj-e116c1f8c92d42b4b5eb0be3b85abfa72021-04-25T11:26:35ZengAmerican Association for the Advancement of Science (AAAS)Journal of Remote Sensing2694-15892021-01-01202110.34133/2021/9141902Optical Remote Sensing of Oil Spills in the Ocean: What Is Really Possible?Chuanmin Hu0Yingcheng Lu1Yingcheng Lu2Shaojie Sun3Shaojie Sun4Yongxue Liu5College of Marine Science,University of South Florida,140 Seventh Avenue South,St. Petersburg, FL 33701,USACollege of Marine Science,University of South Florida,140 Seventh Avenue South,St. Petersburg, FL 33701,USAInternational Institute for Earth System Science,Nanjing University,210023,ChinaSchool of Marine Sciences,Sun Yat-sen University,Zhuhai 519082,ChinaSouthern Marine Science and Engineering Guangdong Laboratory,Zhuhai 519080,ChinaInternational Institute for Earth System Science,Nanjing University,210023,ChinaOptical 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.http://dx.doi.org/10.34133/2021/9141902 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Chuanmin Hu Yingcheng Lu Yingcheng Lu Shaojie Sun Shaojie Sun Yongxue Liu |
spellingShingle |
Chuanmin Hu Yingcheng Lu Yingcheng Lu Shaojie Sun Shaojie Sun Yongxue Liu Optical Remote Sensing of Oil Spills in the Ocean: What Is Really Possible? Journal of Remote Sensing |
author_facet |
Chuanmin Hu Yingcheng Lu Yingcheng Lu Shaojie Sun Shaojie Sun Yongxue Liu |
author_sort |
Chuanmin Hu |
title |
Optical Remote Sensing of Oil Spills in the Ocean: What Is Really Possible? |
title_short |
Optical Remote Sensing of Oil Spills in the Ocean: What Is Really Possible? |
title_full |
Optical Remote Sensing of Oil Spills in the Ocean: What Is Really Possible? |
title_fullStr |
Optical Remote Sensing of Oil Spills in the Ocean: What Is Really Possible? |
title_full_unstemmed |
Optical Remote Sensing of Oil Spills in the Ocean: What Is Really Possible? |
title_sort |
optical remote sensing of oil spills in the ocean: what is really possible? |
publisher |
American Association for the Advancement of Science (AAAS) |
series |
Journal of Remote Sensing |
issn |
2694-1589 |
publishDate |
2021-01-01 |
description |
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. |
url |
http://dx.doi.org/10.34133/2021/9141902 |
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