Bibliographies

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

Felício, J. M., Costa, T. S., Vala, M., Leonor, N., Costa, J. R., Marques, P., Moreira, A. A., Caldeirinha, R. F. S., Matos, S. A., Fernandes, C. A., Fonseca, N. J. G., and Maagt, P. D. (2024) [...]

de Vries, R. V. F., Garaba, S. P., and Royer, S. J.(2023) Hyperspectral reflectance of pristine, ocean weathered and biofouled plastics from a dry to wet and submerged state, Earth Syst. Sci. [...]

da Costa, T. S., Felício, J. M., Vala, M., Leonor, N., Costa, J. R., Marques, P., Moreira, A. A., Caldeirinha, R., Matos, S. A., Fernandes, C. A., Fonseca, N. J. G., and Maagt, P. d. (2023) [...]