Characterization of Oil Slicks on the Gulf of Mexico's Sea Surface Using Spatial Attributes from SAR Images: A Novel Approach with Phase-Space Pictures and Semivariograms.
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| Title: | Characterization of Oil Slicks on the Gulf of Mexico's Sea Surface Using Spatial Attributes from SAR Images: A Novel Approach with Phase-Space Pictures and Semivariograms. |
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| Authors: | Brum, Gabrielle de Souza1 (AUTHOR) gabriellebrumm@gmail.com, Miranda, Fernando Pellon de2 (AUTHOR), Mota, Tiago de Souza1,3 (AUTHOR), Matias, Ítalo de Oliveira1,4 (AUTHOR), Ponte, Francisco Fábio de Araújo1 (AUTHOR), Silva, Gil Márcio Avelino2 (AUTHOR), Beisl, Carlos Henrique3 (AUTHOR), Landau, Luiz4 (AUTHOR) |
| Source: | Remote Sensing. Apr2026, Vol. 18 Issue 8, p1189. 29p. |
| Subjects: | Oil spills, Variograms, Environmental monitoring, Ocean, Data visualization, Remote sensing by radar, Oil spill management |
| Geographic Terms: | Gulf of Mexico |
| Abstract: | Highlights: What are the main findings? In this study, we proposed the use of spatial attributes for characterizing oil slicks on the sea surface; Spatial attributes exhibit diagnostic behavior for each target. What are the implications of the main findings? It is possible to use spatial attributes in conjunction with the more commonly employed geometric and radiometric attributes to increase the accuracy of oil slick classification (natural seepage slicks or anthropogenic oil spills); This novel approach can provide support for reducing environmental impacts and for decreasing exploration risk in offshore petroleum frontiers. This study aims to improve the process of characterizing oil on the sea surface using synthetic aperture radar (SAR) imagery, seeking to increase the accuracy of oil slick classification as natural or anthropogenic. A set of spatial attributes was obtained using semivariograms and phase-space pictures. This novel approach demonstrated potential to add value for monitoring seepage phenomena, which is of great scientific and environmental importance. The results achieved have potential for operational application as an aid in understanding active petroleum systems, reducing exploration risk in the decision-making process. Different targets display semivariograms with distinct geostatistical parameters, thus expressing contrasting models of spatial data correlation. The research results indicate that trajectories developed by the targets "sea", "seepage slick", and "oil spill" showed diagnostic behavior in their respective phase-space pictures. [ABSTRACT FROM AUTHOR] |
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| Database: | Engineering Source |
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| Abstract: | Highlights: What are the main findings? In this study, we proposed the use of spatial attributes for characterizing oil slicks on the sea surface; Spatial attributes exhibit diagnostic behavior for each target. What are the implications of the main findings? It is possible to use spatial attributes in conjunction with the more commonly employed geometric and radiometric attributes to increase the accuracy of oil slick classification (natural seepage slicks or anthropogenic oil spills); This novel approach can provide support for reducing environmental impacts and for decreasing exploration risk in offshore petroleum frontiers. This study aims to improve the process of characterizing oil on the sea surface using synthetic aperture radar (SAR) imagery, seeking to increase the accuracy of oil slick classification as natural or anthropogenic. A set of spatial attributes was obtained using semivariograms and phase-space pictures. This novel approach demonstrated potential to add value for monitoring seepage phenomena, which is of great scientific and environmental importance. The results achieved have potential for operational application as an aid in understanding active petroleum systems, reducing exploration risk in the decision-making process. Different targets display semivariograms with distinct geostatistical parameters, thus expressing contrasting models of spatial data correlation. The research results indicate that trajectories developed by the targets "sea", "seepage slick", and "oil spill" showed diagnostic behavior in their respective phase-space pictures. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 20724292 |
| DOI: | 10.3390/rs18081189 |
