Bibliographies

Ma, Y., Qu, X., Yu, C., Wu, L., Zhang, P., Huang, H., Gui, F. and Feng, D.(2022). Automatic extraction of marine aquaculture zones from optical satellite images by R3Det with piecewise linear [...]

Li, J., Liu, H., Liao, R., Wang, H., Chen, Y., Xiang, J., Xu, X. and Ma, H. (2023). Recognition of microplastics suspended in seawater via refractive index by Mueller matrix polarimetry. Mar. [...]

Leone, G., Catarino, A. I., De Keukelaere, L., Bossaer, M., Knaeps, E. and Everaert, G. (2023). Hyperspectral reflectance dataset of pristine, weathered, and biofouledplastics. Earth Syst. Sci. [...]

Kruse, C., Boyda, E., Chen, S., Karra, K., Bou-Nahra, T., Hammer, D., Mathis, J., Maddalene, T., Jambeck, J. and Laurier, F. (2023) Satellite monitoring of terrestrial plastic waste. PLoS One, [...]

Koestner, D.. Foster, R. and El-Habashi, A. (2023). On the potential for optical detection of microplastics in the ocean. Oceanography, 36, https://doi.org/10.5670/oceanog.2023.s1.15

Jia, T., Kapelan, Z., de Vries, R., Vriend, P., Peereboom, E. C., Okkerman, I. and Taormina, R., (2023). Deep learning for detecting macroplastic litter in water bodies: A review. Water Res., [...]

Colkesen, I., Kavzoglu, T., Sefercik, U. G. and Ozturk, M. Y. (2023). Automated mucilage extraction index (AMEI): a novel spectral water index for identifying marine mucilage formations from [...]

Bancud, G. E., Labanon, A. J., Abreo, N. A. and Kobayashi, V. (2023). Combining image enhancement techniques and deep learning for shallow water benthic marine litter detection. International [...]

Yukun, S., Bakker, T., Ruf, C., Pan, Y. (2023). Effects of microplastics and surfactants on surface roughness of water waves. Scientific Reports, http://dx.doi.org/10.1038/s41598-023-29088-9.

Gernez, P., Zoffoli, M. L., Lacour, T., Fariñas, T. H., Navarro, G.,Caballero, I., & Harmel, T. (2023). The many shades of red tides: Sentinel-2 optical types of highly-concentrated harmful [...]