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Summary of Proposal COA3514

TitleOil spill detection caused by sea vessel incident using SAR data in Cesme Bay
Investigator Arslan, Niyazi - Cukurova University, Geomatics Engineering
Team Member
Dr. Erenoğlu, Ramazan Cüneyt - Çanakkale 18 Mart University, Geomatics Enginering
SummaryThe environmental pollution and disasters gradually increased with the growth of the population. So, it is very important the surveillance of this kind effects for public health. The satellite missions are very efficient tool for identifying of the oil spill area. In this project, both Sentinel 1A-1B and Terrasar-X SAR data will be used to monitor oil spill caused by the ship incident M/V Lady Tuna that is occurred at 13:40 local time (LT) on December 18, 2016 because of landing of the ship. The size of this ship is 121 m length and 17 m width. The location of this incident is near to Pirasa Island in Cesme Bay, Izmir, Turkey. The strong storm which has a wind speed of 98 km/h occurred on December 21, 2016 make oil pollution spread out shoreline of Ilıca, Pasalimani, Yildiz Burnu region. SAR sensor is an active microwave sensing system that is widely used for oil spill applications. Oil spill detection using SAR images have advantages because of day and night data availability, free from cloud cover and fog (Carusa et al., 2013). Determination of oil spill using SAR on the sea surface is dependent on damping effect of oil on Braggs waves. When the oil spill occurs, the radar backscatter decreased resulting in dark areas in SAR images (Misra and Balaji, 2017). In general, out of this region the sea looks as grey and brighter resulting in separation of oil spill area. There is a variety of effects that manage this dark formation. In some cases, it is hard to separate oil spill areas because of the look-alike effect. This effect is managed by wind speed, biogenic films, ship wakes, internal waves, grease ice, rain cells, algae because of reduced radar backscatter. Biogenic slicks caused by plants and animals can be observed when the wind speed is about 3 m/s resulting in look-alike effect. If the wind speed is more than 3m/s, biogenic slicks are cleared away resulting in discrimination between oil and sea surface. If the wind speed is greater than about 8-10 m/s, the oil cannot be separated because of the mixing effect of wind and strong waves. So, the uniform strong backscatter is occurred (Gade et al., 1998; Carusa et al., 2013; Misra and Balaji, 2017). There is a variety of methods for processing of SAR data. One of these method is semi-automatic oil-spill detection. In this method, study area is analyzed manually for oil spilled area followed by automatic segmentation, feature extraction and classification of this area. The data need for this study is two frame of SAR data for the period of 15 days before and after the sea vessel accident in order to make comparison. We submitted a project to Cukurova university project office in order to get funding for SAR image acquisition from DLR. Because the funding of the project is limited, we would like to get special price for the university. References: Caruso, M.J., Migliaccio, M., Hargrove, J.T., Garcia-Pineda, O. and Graber, H.C., 2013. Oil spillsand slicks imaged by synthetic aperture radar. Oceanography 26(2):112–123, Gade, M., Alpers, W., Huhnerfuss, H., Wismann, V.R. and Lange, P.A, 1998. On the reduction ofthe radar backscatter by oceanic surface films: Scatterometer measurements and theirtheoretical interpretation. Remote Sensing of Environment 66(1), pp. 52–70. Misra, A. and Balaji, R., 2017. Simple Approaches to Oil Spill Detection Using SentinelApplication Platform (SNAP)-Ocean Application Tools and Texture Analysis: A ComparativeStudy. J. Indian Soc Remote Sens, DOI 10.1007/s12524-016-0658-

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