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

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.

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Publication Details

Journal
Remote Sensing
Published
2026-04-15
DOI
https://doi.org/10.3390/rs18081189
Primary Topic
Oil Spill Detection and Mitigation
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Carlos Henrique Beisl, Gabrielle de Souza Brum, Francisco Fábio de Araújo Ponte, Gil Márcio Avelino Silva et al.
Remote Sensing
Oil Spill Detection and Mitigation
article

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

Carlos Henrique Beisl, Gabrielle de Souza Brum, Francisco Fábio de Araújo Ponte, Gil Márcio Avelino Silva, Luiz Landau, Ítalo de Oliveira Matias, Tiago Mota, Fernando Pellon de Miranda
article en

Abstract

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.

Remote SensingVol. 18(8)
Universidade Federal do Rio de Janeiro (BR), Pontifícia Universidade Católica do Rio de Janeiro (BR), Petrobras (Brazil) (BR), Geospatial Research (United Kingdom) (GB)
Petrobras, Pontifícia Universidade Católica do Rio de Janeiro
Life below water
Openalex Percentile: Top 25%
Oil Spill Detection and Mitigation
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