Utilisation of Sentinel-1 SAR Imagery for Oil Spill Mapping: A Case Study of Balikpapan Bay Oil Spill


Ratna Prastyani(1), Abdul Basith(2*)

(1) Faculty of Engineering, Universitas Gadjah Mada
(2) Faculty of Engineering, Universitas Gadjah Mada
(*) Corresponding Author


Oil spill is a great threat for marine ecosystem. Oil discharge has become a public concern in all over the world with the increase of marine traffics. Indonesian government has declared state of emergency over oil spill which devastated Balikpapan bay in March 2018. The deadly oil spill impacts marine ecosystem as well as the communities. This study aims to map the oil spill over Balikpapan bay by utilising SAR imagery of Sentinel-1. Automatic and semi-automatic approaches are presented in this study to detect the oil spill. Oil spill is automatically detected using Oil Spill Detection toolbox of Sentinel Application Platform (SNAP). Furthermore, semi-automatic method is also demonstrated by utilising pre and post-oil spill SAR imageries. Our experiment shows that semi-automatic method has better performance than automatic detection by SNAP. Nevertheless, both approaches are useful to map oil spill in term of time and cost effectiveness.

Full Text:



Bayramov, Emil, Martin Kada, and Manfred Buchroithner. 2018. “Monitoring Oil Spill Hotspots, Contamination Probability Modelling and Assessment of Coastal Impacts in the Caspian Sea Using SENTINEL-1, LANDSAT-8, RADARSAT, ENVISAT and ERS Satellite Sensors.” Journal of Operational Oceanography 11 (1). Taylor & Francis:27–43. https://doi.org/10.1080/1755876X.2018.1438343.

Brekke, Camilla, and Anne H.S. Solberg. 2005. “Oil Spill Detection by Satellite Remote Sensing.” Remote Sensing of Environment 95 (1):1–13. https://doi.org/10.1016/j.rse.2004.11.015.

Espedal, H. (1999). Detection of oil spill and natural film in the marine environment by spaceborne SAR. In Geoscience and Remote Sensing Symposium, 1999. IGARSS’99 Proceedings. IEEE 1999 International (Vol. 3, pp. 1478–1480). http://dx.doi. org/10.1109/IGARSS.1999.771993.

Fiscella, B., A. Giancaspro, F. Nirchio, P. Pavese, and P. Trivero. 2000. “Oil Spill Detection Using Marine SAR Images.” International Journal of Remote Sensing 21 (18):3561–66. https://doi.org/10.1080/014311600750037589.

Kingston, Paul F. 2002. “Long-Term Environmental Impact of Oil Spills.” Spill Science and Technology Bulletin https://doi.org/10.1016/S1353-2561(02)00051-8.

Kolokoussis, Polychronis. 2018. “Oil Spill Detection and Mapping Using Sentinel 2 Imagery.” Journal of Marine Science and Engineering 6 (1):4.https://doi.org/10.3390/jmse6010004.

Liu, Sicong, Mingmin Chi, Yangxiu Zou, and Ali Samat. 2016. “A Multitemporal Change Detection Solution To Oil Spill Monitoring.” IEEE IGARSS, 2016.

Misra, A., and R. Balaji. 2017. “Simple Approaches to Oil Spill Detection Using Sentinel Application Platform (SNAP)-Ocean Application Tools and Texture Analysis: A Comparative Study.” Journal of the Indian Society of Remote Sensing 45 (6). Springer India, https://doi.org/10.1007/s12524-016-0658-2.

Potin, Pierre, Pier Bargellini, Henri Laur, Betlem Rosich, and Siegfried Schmuck. 2012. “Sentinel-1 Mission Operations Concept.” 2012 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 1745–48. https://doi.org/10.1109/IGARSS.2012.6351183.

Solberg, Anne H S, Camilla Brekke, and Per Ove Husøy. 2007. “Oil Spill Detection in Radarsat and Envisat SAR Images.” IEEE Transactions on Geoscience and Remote Sensing 45 (3):746–54. https://doi.org/10.1109/TGRS.2006.887019.

DOI: https://doi.org/10.22146/jgise.38533

Article Metrics

Abstract views : 491 | views : 273


  • There are currently no refbacks.

Copyright (c) 2018 Journal of Geospatial Information Science and Engineering

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Journal of Geospatial Information Science and Engineering (JGISE)

Creative Commons License
The Articles and Contents of this website is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
ISSN: 2623-1182 (Online)
Jl. Grafika No.2 Kampus UGM, Yogyakarta 55281
Email : jgise.ft@ugm.ac.id