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] |
| Copyright of Remote Sensing is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 193435668 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: 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. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Brum%2C+Gabrielle+de+Souza%22">Brum, Gabrielle de Souza</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> gabriellebrumm@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Miranda%2C+Fernando+Pellon+de%22">Miranda, Fernando Pellon de</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mota%2C+Tiago+de+Souza%22">Mota, Tiago de Souza</searchLink><relatesTo>1,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Matias%2C+Ítalo+de+Oliveira%22">Matias, Ítalo de Oliveira</searchLink><relatesTo>1,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ponte%2C+Francisco+Fábio+de+Araújo%22">Ponte, Francisco Fábio de Araújo</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Silva%2C+Gil+Márcio+Avelino%22">Silva, Gil Márcio Avelino</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Beisl%2C+Carlos+Henrique%22">Beisl, Carlos Henrique</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Landau%2C+Luiz%22">Landau, Luiz</searchLink><relatesTo>4</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Remote+Sensing%22">Remote Sensing</searchLink>. Apr2026, Vol. 18 Issue 8, p1189. 29p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Oil+spills%22">Oil spills</searchLink><br /><searchLink fieldCode="DE" term="%22Variograms%22">Variograms</searchLink><br /><searchLink fieldCode="DE" term="%22Environmental+monitoring%22">Environmental monitoring</searchLink><br /><searchLink fieldCode="DE" term="%22Ocean%22">Ocean</searchLink><br /><searchLink fieldCode="DE" term="%22Data+visualization%22">Data visualization</searchLink><br /><searchLink fieldCode="DE" term="%22Remote+sensing+by+radar%22">Remote sensing by radar</searchLink><br /><searchLink fieldCode="DE" term="%22Oil+spill+management%22">Oil spill management</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Gulf+of+Mexico%22">Gulf of Mexico</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Remote Sensing is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/rs18081189 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 29 StartPage: 1189 Subjects: – SubjectFull: Oil spills Type: general – SubjectFull: Variograms Type: general – SubjectFull: Environmental monitoring Type: general – SubjectFull: Ocean Type: general – SubjectFull: Data visualization Type: general – SubjectFull: Remote sensing by radar Type: general – SubjectFull: Oil spill management Type: general – SubjectFull: Gulf of Mexico Type: general Titles: – TitleFull: 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. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Brum, Gabrielle de Souza – PersonEntity: Name: NameFull: Miranda, Fernando Pellon de – PersonEntity: Name: NameFull: Mota, Tiago de Souza – PersonEntity: Name: NameFull: Matias, Ítalo de Oliveira – PersonEntity: Name: NameFull: Ponte, Francisco Fábio de Araújo – PersonEntity: Name: NameFull: Silva, Gil Márcio Avelino – PersonEntity: Name: NameFull: Beisl, Carlos Henrique – PersonEntity: Name: NameFull: Landau, Luiz IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 04 Text: Apr2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 20724292 Numbering: – Type: volume Value: 18 – Type: issue Value: 8 Titles: – TitleFull: Remote Sensing Type: main |
| ResultId | 1 |
