A Sentinel-2-Based System to Detect and Monitor Oil Spills: Demonstration on 2024 Tobago Accident
In this paper, we analyze the serious environmental accident caused by a massive oil spill on 7 February 2024, off the island of Tobago, using two separate algorithms, namely, the established visible near-red index (VNRI) algorithm and the novel IVI visible reflectance ratio index (IVI), both applie...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-01-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/17/2/230 |
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| author | Emilio D’Ugo Ashish Kallikkattilkuruvila Roberto Giuseppetti Alejandro Carvajal Abdou Mbacke Diouf Matteo Tucci Federico Aulenta Alessandro Ursi Patrizia Sacco Deodato Tapete Giovanni Laneve Fabio Magurano |
| author_facet | Emilio D’Ugo Ashish Kallikkattilkuruvila Roberto Giuseppetti Alejandro Carvajal Abdou Mbacke Diouf Matteo Tucci Federico Aulenta Alessandro Ursi Patrizia Sacco Deodato Tapete Giovanni Laneve Fabio Magurano |
| author_sort | Emilio D’Ugo |
| collection | DOAJ |
| description | In this paper, we analyze the serious environmental accident caused by a massive oil spill on 7 February 2024, off the island of Tobago, using two separate algorithms, namely, the established visible near-red index (VNRI) algorithm and the novel IVI visible reflectance ratio index (IVI), both applied to Sentinel-2 satellite images. These algorithms were specifically designed to monitor oil spills in inner waters. In this paper, where the IVI is presented for the first time, its effectiveness in the open sea is also showcased allowing the identification and subsequent monitoring over time of the oily masses that threaten the coral reef of the island. The analysis suggests that with sufficient cloud-free conditions, high temporal revisit multispectral optical satellites could support the timely detection and tracking of oil masses during environmental incidents near natural sanctuaries. |
| format | Article |
| id | doaj-art-750b9e2950c34fdb82bc677743866d74 |
| institution | Kabale University |
| issn | 2072-4292 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj-art-750b9e2950c34fdb82bc677743866d742025-01-24T13:47:48ZengMDPI AGRemote Sensing2072-42922025-01-0117223010.3390/rs17020230A Sentinel-2-Based System to Detect and Monitor Oil Spills: Demonstration on 2024 Tobago AccidentEmilio D’Ugo0Ashish Kallikkattilkuruvila1Roberto Giuseppetti2Alejandro Carvajal3Abdou Mbacke Diouf4Matteo Tucci5Federico Aulenta6Alessandro Ursi7Patrizia Sacco8Deodato Tapete9Giovanni Laneve10Fabio Magurano11National Institute of Health (ISS), Viale Regina Elena 299, 00161 Rome, ItalySIA (Scuola di Ingegneria Aerospaziale), Università di Roma ’La Sapienza’, Via Salaria, 851, 00138 Rome, ItalyNational Institute of Health (ISS), Viale Regina Elena 299, 00161 Rome, ItalySIA (Scuola di Ingegneria Aerospaziale), Università di Roma ’La Sapienza’, Via Salaria, 851, 00138 Rome, ItalyNational Institute of Health (ISS), Viale Regina Elena 299, 00161 Rome, ItalyWater Research Institute (IRSA), National Research Council (CNR), Via Salaria km 29, 300, 00015 Rome, ItalyWater Research Institute (IRSA), National Research Council (CNR), Via Salaria km 29, 300, 00015 Rome, ItalyItalian Space Agency (ASI), Via del Politecnico snc, 00133 Rome, ItalyItalian Space Agency (ASI), Via del Politecnico snc, 00133 Rome, ItalyItalian Space Agency (ASI), Via del Politecnico snc, 00133 Rome, ItalySIA (Scuola di Ingegneria Aerospaziale), Università di Roma ’La Sapienza’, Via Salaria, 851, 00138 Rome, ItalyNational Institute of Health (ISS), Viale Regina Elena 299, 00161 Rome, ItalyIn this paper, we analyze the serious environmental accident caused by a massive oil spill on 7 February 2024, off the island of Tobago, using two separate algorithms, namely, the established visible near-red index (VNRI) algorithm and the novel IVI visible reflectance ratio index (IVI), both applied to Sentinel-2 satellite images. These algorithms were specifically designed to monitor oil spills in inner waters. In this paper, where the IVI is presented for the first time, its effectiveness in the open sea is also showcased allowing the identification and subsequent monitoring over time of the oily masses that threaten the coral reef of the island. The analysis suggests that with sufficient cloud-free conditions, high temporal revisit multispectral optical satellites could support the timely detection and tracking of oil masses during environmental incidents near natural sanctuaries.https://www.mdpi.com/2072-4292/17/2/230remote sensingoil spillcoral reefsmultispectral analysisCaribbean Sea |
| spellingShingle | Emilio D’Ugo Ashish Kallikkattilkuruvila Roberto Giuseppetti Alejandro Carvajal Abdou Mbacke Diouf Matteo Tucci Federico Aulenta Alessandro Ursi Patrizia Sacco Deodato Tapete Giovanni Laneve Fabio Magurano A Sentinel-2-Based System to Detect and Monitor Oil Spills: Demonstration on 2024 Tobago Accident Remote Sensing remote sensing oil spill coral reefs multispectral analysis Caribbean Sea |
| title | A Sentinel-2-Based System to Detect and Monitor Oil Spills: Demonstration on 2024 Tobago Accident |
| title_full | A Sentinel-2-Based System to Detect and Monitor Oil Spills: Demonstration on 2024 Tobago Accident |
| title_fullStr | A Sentinel-2-Based System to Detect and Monitor Oil Spills: Demonstration on 2024 Tobago Accident |
| title_full_unstemmed | A Sentinel-2-Based System to Detect and Monitor Oil Spills: Demonstration on 2024 Tobago Accident |
| title_short | A Sentinel-2-Based System to Detect and Monitor Oil Spills: Demonstration on 2024 Tobago Accident |
| title_sort | sentinel 2 based system to detect and monitor oil spills demonstration on 2024 tobago accident |
| topic | remote sensing oil spill coral reefs multispectral analysis Caribbean Sea |
| url | https://www.mdpi.com/2072-4292/17/2/230 |
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