The capability of Sentinel-1 polarization combinations for oil spill detection (study case: Karawang, Indonesia)

Abstract Marine pollution is one of issues that widely discussed such as marine debris, chemical contamination, and oil spill. It has many impacts on the environment. Remote sensing helps detect presence an spill via satellite platform. One commonly used Synthetic-Aperture Radar (SAR) imagery, which can see spills even in cloudy conditions. However, black white appearance radar sometimes makes it difficult to distinguish between look alike. Therefore, this study aims determine polarization combination Sentinel-1 SAR imagery. Single Look Complex (SLC) input processes through various stages obtain Coherence Vertical-Vertical (VV) Vertical-Horizontal (VH) results. There are four steps for processing data; convert data backscattering coefficient from SLC data, stacking, Terrain Observation by Progressive Scan (TOPS) coherence, building robust combinations. The was calculated artificial bands correct combination, namely Divide (VV/VH) band 1, Average ((VV+VH)/2) 2, Multiple (VVxVH) 3, Add (VV+VH) 4, Subtract (VV-VH) 5. Furthermore, determination composite display based intensity value. As a result, recommendation obtained, involves