Achmad Fadhilah
Program Studi Sains Informasi Geografi, Universitas Pendidikan Indonesia, Kota Bandung, Jawa Barat, Indonesia

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Deteksi Tumpahan Minyak Menggunakan Sentinel-1A Synthetic Aperture Radar dan Adaptive Threshold di Perairan Lhokseumawe Alvin Anugrah Putra; Dela Oktaviani; Rizqia Rahmah Nurul Syifa; Silmi Afina Aliyan; Achmad Fadhilah
Journal of Geographical Sciences and Education Vol 4 No 2 (2026): Journal of Geographical Sciences and Education
Publisher : PT. Pubsains Nur Cendekia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69606/geography.v4i2.518

Abstract

Oil spills represent a major form of marine pollution that poses serious threats to coastal ecosystems and human activities. This study aims to detect and analyse the spatial distribution of the oil spill in Lhokseumawe waters using Sentinel-1A Synthetic Aperture Radar (SAR) imagery with software SNAP. The dataset used consists of Sentinel-1A SAR imagery acquired on 24 April 2022 with Interferometric Wide Swath mode and VV polarisation. Oil spill detection was performed using an adaptive thresholding approach through the Oil Spill Detection Tool. The oil spill was identified as a dark area with low backscatter values forming elongated and fragmented patterns influenced by ocean currents and wind conditions. Variations in the threshold shift values produced different estimated extents of the oil spill, namely 36.86 km² at the 1.0 dB threshold, 12.82 km² at the 2.0 dB threshold, and 4.61 km² at the 3.0 dB threshold. Although potential false detections may occur due to look-alike phenomena, this study demonstrates that Sentinel-1A SAR imagery is effective for monitoring oil spills in coastal waters.