Bibliographies

Zhang, X., Min, C., Luo, J. and Li, Z. (2023) YOLOv5-FF: Detecting Floating Objects on the Surface of Fresh Water Environments. Appl. Sci., 13(13), 7367, https://doi.org/10.3390/app13137367

Zhu, X., Lu, Y., Dou, C. and Ju, W. (2023) Improving sea surface floating matter identification from Sentinel-2 MSI imagery using optical radiative simulation of neighborhood difference. Opt. [...]

Zhou, S., Kaufmann, H., Bohn, N., Bochow, M., Kuester, T. and Segl, K. (2022) Identifying distinct plastics in hyperspectral experimental lab-, aircraft-, and satellite data using machine/deep [...]

Themistocleous, K. (2021) Monitoring aquaculture fisheries using Sentinel-2 images by identifying plastic fishery rings, Proceedings SPIE Remote Sensing: Earth Resources and Environmental Remote [...]

Parrish, C. E., Winans, W. R., Battista, T., Uhrin, A. V., Herrera, K., Murphy, P., Simpson, C. and Slocum, R. (2023) Uncrewed aircraft systems, machine learning, and polarimetric imaging for [...]

Pichel, W. G., Veenstra, T. S., Churnside, J. H., Arabini, E., Friedman, K. S., Foley, D. G., Brainard, R. E., Kiefer, D., Ogle, S., Clemente-Colón, P. and Li, X. (2012) GhostNet marine debris [...]

Mohsen, A., Kiss, T. and Kovács, F. (2023) Machine learning-based detection and mapping of riverine litter utilizing Sentinel-2 imagery. Environ. Sci. Pollut. Res., 30, 67742–67757, [...]

Mifdal, J., Longépé, N. and Rußwurm, M. (2021) Towards detecting floating objects on a global scale with learned spatial features using Sentinel 2. ISPRS Ann. Photogramm. Remote Sens. Spatial [...]

Matthews, J. P., Ostrovsky, L., Yoshikawa, Y., Komori, S. and Tamura, H. (2017) Dynamics and early post-tsunami evolution of floating marine debris near Fukushima Daiichi. Nature Geosci., 10, [...]

Hu, C., Qi, L., Wang, M. and Park, Y.-J. (2023) Floating debris in the Northern Gulf of Mexico after Hurricane Katrina. Environ. Sci. Technol., 57(28), 10373−10381, [...]