DUAL-POLARIMETRIC DECOMPOSITION OF SENTINEL-1 SAR IMAGE AND MACHINE LEARNING MODEL FOR OIL SPILL DETECTION: CASE OF MINDORO OIL SPILL

5 citations as recorded by crossref.

1. Navigating the Depths: A Comprehensive Review of 40 Years of Marine Oil Pollution Studies in the Philippines (1980 to 2024) H. Bacosa et al. https://doi.org/10.3390/w17111709
2. From oil spill detection to environmental vulnerability assessment: A SAR multi-textural approach with case studies in tropical Indonesian waters A. Ibrahim et al. https://doi.org/10.1016/j.rsma.2026.105362
3. A convolutional neural network-based segmentation approach for oil spill detection in satellite imagery with explainable AI A. Arnob et al. https://doi.org/10.1007/s12145-025-01988-6
4. From the deep sea to the shore: Source fingerprinting and weathering of spilled oil following the 2023 MT Princess Empress oil spill (Oriental Mindoro, Philippines) J. Maglupay et al. https://doi.org/10.1016/j.marpolbul.2026.119529
5. Development of A Mathematical Model to Control Crisis Management of Oil Spill Caused by Weathering Processes M. Ahgharian & E. Moosavi https://doi.org/10.1007/s11270-026-10069-3