Monitoring oil spill in Norilsk, Russia using satellite data

Sankaran Rajendran*, Fadhil N. Sadooni, Hamad Al Saad Al-Kuwari, Anisimov Oleg, Himanshu Govil, Sobhi Nasir, Ponnumony Vethamony

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

43 Citations (Scopus)


This paper studies the oil spill, which occurred in the Norilsk and Taimyr region of Russia due to the collapse of the fuel tank at the power station on May 29, 2020. We monitored the snow, ice, water, vegetation and wetland of the region using data from the Multi-Spectral Instruments (MSI) of Sentinel-2 satellite. We analyzed the spectral band absorptions of Sentinel-2 data acquired before, during and after the incident, developed true and false-color composites (FCC), decorrelated spectral bands and used the indices, i.e. Snow Water Index (SWI), Normalized Difference Water Index (NDWI) and Normalized Difference Vegetation Index (NDVI). The results of decorrelated spectral bands 3, 8, and 11 of Sentinel-2 well confirmed the results of SWI, NDWI, NDVI, and FCC images showing the intensive snow and ice melt between May 21 and 31, 2020. We used Sentinel-2 results, field photographs, analysis of the 1980–2020 daily air temperature and precipitation data, permafrost observations and modeling to explore the hypothesis that either the long-term dynamics of the frozen ground, changing climate and environmental factors, or abnormal weather conditions may have caused or contributed to the collapse of the oil tank.

Original languageEnglish
Article number3817
JournalScientific Reports
Issue number1
Publication statusPublished - Dec 2021

ASJC Scopus subject areas

  • General


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