Bibliographies

Kikaki, K., Kakogeorgiou, I., Hoteit I., Karantzalos, K. (2024). Detecting Marine pollutants and Sea Surface features with Deep learning in Sentinel-2 imagery. ISPRS Journal of Photogrammetry and [...]

Waqas, M., Wong, M. S., Stocchino, A., Abbas, S., Hafeez, S., and Zhu, R. (2023) Marine plastic pollution detection and identification by using remote sensing-meta analysis, Mar. Pollut. Bull., [...]

Pathira Arachchilage, K. R. L., Tang, D., Yu, J., and Wang, S. (2022) A preliminary analysis towards detecting floating marine macro plastics using an index developed for sentinel 2 acolite and [...]

Ma, J., Ma, R., Pan, Q., Liang, X., Wang, J., and Ni, X. (2023) A global review of progress in remote sensing and monitoring of marine pollution, Water, 15, 3491, https://doi.org/10.3390/w15193491

Liu, H., Wang, M., Tang, H., and Zhang, H. (2024) Progress in research on marine litter-related monitoring technologies, J. Phys.: Conf. Ser., 2679, 012055, [...]

Kim, J., and Kim, C. W. (2023) Improving the efficiency of marine debris collection policies using drone technology, J. Coastal Res., 116, 353-357, https://doi.org/10.2112/JCR-SI116-072.1

Karakuş O (2023), On advances, challenges and potentials of remote sensing image analysis in marine debris and suspected plastics monitoring. Front. Remote Sens., 4, 1302384, [...]

Jia, T., Vallendar, A. J., de Vries, R., Kapelan, Z., and Taormina, R. (2023) Advancing deep learning-based detection of floating litter using a novel open dataset, Front. Water, 5, 1298465, [...]

Hamill, M., Magee, B., and Millar, P.(2020) Application of remote sensing for automated litter detection and management, in: Advances in Computer Vision, in Computer Vision Conference (CVC 2019), [...]

Garaba, S. P., and Park, Y.-J. (2024) Riverine litter monitoring from multispectral fine pixel satellite images, Environ. Adv., 15, 100451, https://doi.org/10.1016/j.envadv.2023.100451