Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2026, V. 23, No. 4, pp. 357-374
Application of the SWOT mission in oil pollution monitoring tasks
M.V. Vrublevsky 1 , O.Yu. Lavrova 1 1 Space Research Institute RAS, Moscow, Russia
Accepted: 07.08.2026
DOI: 10.21046/2070-7401-2026-23-4-357-374
The first results of applying SWOT (Surface Water and Ocean Topography) satellite mission data to oil pollution monitoring are presented. The applicability of these data is demonstrated through two tasks. The solution to the first task — using data from the SWOT mission’s Ka-band interferometer, KaRIn (Ka-band Radar Interferometer), as an additional source for monitoring — allowed for the identification of characteristic signatures of oil pollution in SWOT imagery. The solution to the second task — determining the regional wind coefficient using the backward tracking method — enabled a quantitative assessment of the SWOT data contribution to oil pollution monitoring systems. To address the first task, oil pollution verification in the Black Sea waters was conducted, specifically focusing on ship discharges and assessing the consequences of the oil spill at the Caspian Pipeline Consortium marine terminal near Novorossiysk in August 2025. As part of this effort, 30 cases of quasi-simultaneous imaging of oil slicks on the sea surface were identified using Sentinel-1/-2, Landsat-8/-9, and SWOT data from 2023 to 2025. It was established that oil pollution in the KaRIn normalized radar cross-section field manifests as areas of positive contrast with shapes characteristic of oil spills. To address the second task, the wind coefficient in the Kerch Pre-Strait area of the Black Sea was estimated using data obtained between April 17 and December 31, 2025. The wind coefficient was calculated for 107 oil pollution events identified from Sentinel-1/-2 and Landsat-8/-9 data, and for 15 events identified from KaRIn data. The integral value of the wind coefficient was 0.051, and incorporating the SWOT data narrowed the confidence interval width by 9 %. The results confirm the viability of using KaRIn/SWOT data to detect oil pollution, assess its scale and consequences, and determine regional parameters influencing its dynamics.
Keywords: satellite monitoring of oil spills, oil spills, satellite altimetry, satellite interferometry, SWOT, KaRIn
Full textReferences:
- Bass F. G., Fuks I. M., Rasseyanie voln na statisticheski nerovnoi poverkhnosti (Wave scattering from statistically rough surfaces), Moscow: Nauka, 1972, 424 p. (in Russian).
- Bulatov M. G., Kravtsov Yu. A., Lavrova O. Yu., Litovchenko K. Ts., Mityagina M. I., Raev M. D., Sabinin K. D., Trohimovskiy Yu. G., Churyumov A. N., Shugan I. V., The physical formation mechanisms of aerospace radar images of the ocean, Uspehi fizicheskih nauk, 2003, V. 173 (1), pp. 69–87 (in Russian).
- Vrublevsky M. V., Lavrova O. Yu., Manifestation of river and lagoon outflows in SWOT satellite data, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2026, V. 23, No. 2, pp. 304–319 (in Russian), DOI: 10.21046/2070-7401-2026-23-2-304-319.
- Knyazev N. A., Lavrova O. Yu., Kostianoy A. G., Satellite radar monitoring of oil pollution in the water areas between Anapa and Gelendzhik in 2018–2020, J. Oceanological Research, 2021, V. 49, No. 1, pp. 163–185 (in Russian), DOI: 10.29006/1564-2291.JOR-2021.49(1).8.
- Kostianoy A. G., Lavrova O. Yu., Loupian E. A., Oil spill at the Caspian Pipeline Consortium marine terminal near Novorossiysk on August 7, 2021: Integrated analysis of satellite and meteo data, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2021, V. 18, No. 5, pp. 28–43 (in Russian), DOI: 10.21046/2070-7401-2021-18-5-28-43.
- Lavrova O. Yu., Karimova S. S., Mityagina M. I., Bocharova T. Yu., Operational satellite monitoring of the Black, Baltic and Caspian Seas in 2009–2010, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2010, V. 7, No. 3, pp. 168–185 (in Russian).
- Lavrova O. Yu., Kostianoy A. G., Lebedev S. A., Mityagina M. I., Ginzburg A. I., Sheremet N. A., Kompleksnyi sputnikovyi monitoring morei Rossii (Complex satellite monitoring of Russian seas), Moscow: IKI RAS, 2011, 480 p. (in Russian).
- Lavrova O. Yu., Mityagina M. I., Kostianoy A. G., Sputnikovye metody vyyavleniya i monitoringa zon ehkologicheskogo riska morskikh akvatorii (Satellite methods for detecting and monitoring marine zones of ecological risk), Moscow: IKI RAS, 2016, 334 p. (in Russian).
- Lavrova O. Yu., Mityagina M. I., Uvarov I. A., Loupian E. A., Current capabilities and experience of using the See the Sea information system for studying and monitoring phenomena and processes on the sea surface, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2019, V. 16, No. 3, pp. 266–287 (in Russian), DOI: 10.21046/2070-7401-2019-16-3-266-287.
- Lavrova O. Yu., Loupian E. A., Kostianoy A. G. (2025a), Consequences of tanker accidents on the Black Sea side of the Kerch Strait on December 15, 2024: A comprehensive analysis of satellite and meteorological data, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2025, V. 22, No. 2, pp. 282–299 (in Russian), DOI: 10.21046/2070-7401-2025-22-2-282-299.
- Lavrova O. Yu., Loupian E. A., Kostianoy A. G. (2025b), Satellite observations of the consequences of the oil spill at the Caspian Pipeline Consortium marine terminal near Novorossiysk on August 29, 2025, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2025, V. 22, No. 5, pp. 337–345 (in Russian), DOI: 10.21046/2070-7401-2025-22-5-337-345.
- Loupian E. A., Proshin A. A., Burtsev M. A. et al., Experience of development and operation of the IKI-Monitoring center for collective use of systems for archiving, processing and analyzing satellite data, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2019, V. 16, No. 3, pp. 151–170 (in Russian), DOI: 10.21046/2070-7401-2019-16-3-151-170.
- Mityagina M. I., Lavrova O. Yu., Radar observations of surface film pollution in the coastal zone of the Black Sea and Azov Sea, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2007, Iss. 4, V. 1, pp. 317–324 (in Russian).
- Stanovoy V. V., Lavrenov I. V., Neelov I. A., Oil spill modeling system for ice-infested seas. Problemy Arktiki i Antarktiki, 2007, No. 3(77), pp. 7–16 (in Russian).
- Uvarov I. A., Khalikova O. A., Balashov I. V., Burtsev M. A., Loupian E. A., Matveev A. M., Platonov A. E., Proshin A. A., Tolpin V. A., Krasheninnikova Yu. S., Meteorological data management in framework of the satellite monitoring information systems, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2013, V. 10, No. 2, pp. 30–45 (in Russian).
- Asadzadeh S., de Souza Filho C. R., Investigating the capability of WorldView-3 superspectral data for direct hydrocarbon detection, Remote Sensing of Environment, 2016, V. 173, pp. 162–173, DOI: 10.1016/j.rse.2015.11.030.
- Brekke C., Solberg A. H. S., Oil spill detection by satellite remote sensing, Remote Sensing of Environment, 2005, V. 95, No. 1, pp. 1–13.
- Cheshm Siyahi V., Kudryavtsev V., Chapron B., Collard F., Novel insights on ocean internal waves: Quantitative surface manifestations and upper ocean layer displacements from the Surface Water Ocean Topography Mission (SWOT) measurements, Earth and Space Science, 2026, V. 13, Iss. 2, Article e2025EA004443, DOI: 10.1029/2025EA004443.
- Cox C., Munk W., Statistics of the sea surface derived from sun glitter, J. Marine Research, 1954, V. 13, No. 2, pp. 199–227.
- da Silva J. C. B., Magalhaes J. M., Bosser A. et al. Internal solitary wave parameters from SWOT KaRIn sea surface topography: A case study in the Tropical Atlantic, Science of Remote Sensing, 2025, V. 12, Article 100307, DOI: 10.1016/j.srs.2025.100307.
- Dibarboure G., Anadon C., Briol F. et al., Blending 2D topography images from the Surface Water and Ocean Topography (SWOT) mission into the altimeter constellation with the Level-3 multi-mission Data Unification and Altimeter Combination System (DUACS), Ocean Science, 2025, V. 21, Iss. 1, pp. 283–323, DOI: 10.5194/os-21-283-2025.
- Fayne J. V., Smith L. C., Liao T.-H. et al., Characterizing near-nadir and low incidence Ka-band SAR backscatter from wet surfaces and diverse land covers, IEEE J. Selected Topics in Applied Earth Observations and Remote Sensing, 2024, V. 17, pp. 985–1006, DOI: 10.1109/jstars.2023.3317502.
- Fingas M., The challenges of remotely measuring oil slick thickness, Remote Sensing, 2018, V. 10, Iss. 2, Article 319, DOI: 10.3390/rs10020319.
- Kacimi S., Jaruwatanadilok S., Kwok R., SWOT observations over sea ice: A first look, Geophysical Research Letters, 2025, V. 52, Iss. 10, Article e2025GL116079, DOI: 10.1029/2025GL116079.
- Kim D.-J., Moon W. M., Kim Y.-S., Application of TerraSAR-X data for emergent oil-spill monitoring, IEEE Trans. Geoscience and Remote Sensing, 2010, V. 48, Iss. 2, pp. 852–863, DOI: 10.1109/TGRS.2009.2036253.
- Knyazev N. A., Lavrova O. Yu., Kostianoy A. G., Application of radar satellite data to monitoring ship oil spills in the Black Sea (2022–2024), In: The Handbook of Environmental Chemistry, Berlin, Heidelberg: Springer, 2026, 15 p., DOI: 10.1007/698_2026_1250.
- Lupidi A., Staglianò D., Martorella M., Berizzi F., Fast detection of oil spills and ships using SAR images, Remote Sensing, 2017, V. 9, Iss. 3, Article 230, DOI: 10.3390/rs9030230.
- Nunziata F., Buono A., Migliaccio M., COSMO–SkyMed Synthetic Aperture Radar data to observe the deepwater horizon oil spill, Sustainability, 2018, V. 10, Iss. 10, Article 3599, DOI: 10.3390/su10103599.
- Sandalyuk N. V., Khachatrian E. M., Comparative analysis of eddies in open ocean and marginal ice zone using SWOT and Sentinel-1 data, Russian J. Earth Sciences, 2025, No. 1, Article ES1003, 12 p., DOI: 10.2205/2026es001081.
- Santamaria C., Stasolla M., Fernandez Arguedas V. et al., Sentinel-1 maritime surveillance. Testing and experiences with long-term monitoring, Luxembourg: Publications Office of the European Union, 2015, 76 p., DOI: 10.2788/090400.
- Schaeffer B. A. Whitman P. Conmy R. et al., Potential for commercial PlanetScope satellites in oil response monitoring, Marine Pollution Bull., 2022, V. 183, Article 114077, DOI: 10.1016/j.marpolbul.2022.114077.
- Shao W., Chen J., Hu S. et al., Influence of sea surface waves on numerical modeling of an oil spill: Revisit of symphony wheel accident, J. Sea Research, 2024, V. 201, Article 102529, DOI: 10.1016/j.seares.2024.102529.
- Singha S., Ressel R., Velotto D., Lehner S., Combination of traditional and polarimetric features for oil spill detection using TerraSAR-X, IEEE J. Selected Topics in Applied Earth Observations and Remote Sensing, 2016, V. 9, Iss. 11, pp. 4979–4990, DOI: 10.1109/JSTARS.2016.2559946.
- SWOT science data products user handbook, JPL D-109532, Pasadena: California Institute of Technology, Jet Propulsion Laboratory, 2024, 159 p.
- Valenzuela G. R., Theories for the interaction of electromagnetic and oceanic waves — A review, Boundary-Layer Meteorology, 1978, V. 13, No. 1–4, pp. 61–85.