Bibliographies

Hidaka, M., Matsuoka, D., Sugiyama, D., Murakami, K., Kako, S. (2022). Pixel-level image classification for detecting beach litter using a deep learning approach, Mar. Pollut. Bull, 175, 113371, [...]

Kanhai, L. D. K., Asmath, H., and Gobin, J. F. (2022) The status of marine debris/litter and plastic pollution in the Caribbean Large Marine Ecosystem (CLME): 1980–2020. Environmental Pollution, [...]

Reynolds, R. A., and D. Stramski (2021). Variability in oceanic particle size distributions and estimation of size class contributions using a non-parametric approach. Journal of Geophysical [...]

Koestner, D., D. Stramski, and R. A. Reynolds (2021). Characterization of suspended particulate matter in contrasting coastal marine environments with angle-resolved polarized light scattering [...]

Stramski, D., I. Joshi, and R. A. Reynolds (2022). Ocean color algorithms to estimate the concentration of particulate organic carbon in surface waters of the global ocean in support of a [...]

Lin, J., P. I. Miller, B. Jonsson, and M. Bedington (2021). Early Warning of Harmful Algal Bloom Risk Using Satellite Ocean Color and Lagrangian Particle Trajectories. Frontiers in Marine Science [...]

Corbari, L., Maltese, A., Capodici, F., Mangano, M. C., Sarà, G., & Ciraolo, G. (2020). Indoor spectroradiometric characterization of plastic litters commonly polluting the Mediterranean Sea: [...]

Schroeder, T., Schaale, M., Lovell, J., Blondeau-Patissier, D. (2022). An ensemble neural network atmospheric correction for Sentinel-3 OLCI over coastal waters providing inherent model [...]

Wang, M., and C. Hu (2021). Satellite remote sensing of pelagic Sargassum macroalgae: The power of high resolution and deep learning. Remote Sens. Environ., 264, [...]

Wang, M., and C. Hu (2020), Automatic extraction of Sargassum features on Sentinel-2 MSI images. IEEE Trans. Geosci. Remote Sens., https://doi.org/10.1109/TGRS.2020.3002929.